Bibliography

2,390 sources that survived triage — from feeds, Discord links, operator suggestions, and citation chases. 1642 are cited by at least one law. See also deep and shallow reading notes.

221 listed 2098 shallow-read 71 deep-read 259 meta (research-methodology sources)
Depth
Kind
YearTitleAuthors DepthLaws
2026α-fair heterogeneous agent reinforcement learning ◑
2026xChk: Bring Your Own Identity -- Heterogeneous Assurance with Verifier-Determined Sufficiency ◑L-014 L-002
2026pAI-Econ-claude: A Gated Human-in-the-Loop Multi-Agent Architecture for AI-Assisted Economic Theory Development meta◑L-004
2026netseg: a Python Package for Measuring Structural Polarization and Segregation in Social Networks meta◑L-013
2026aipsy-judge: A Specialized, Psychologist-Corrected Local Judge for the Psychological Safety of Conversational AI ◑L-004 L-008
2026Zero-Sum Fictitious Play Cannot Converge to a Point ◑
2026Zero-Shot Self-Orchestration with Ledger-Based Control for Improved LLM Coding Performance ◑L-005 L-011
2026Your Programming Students' Cognition with ChatGPT: Higher Performance, Lower Retention, and Reduced Ownership ◑L-016
2026Your Agents Are Aging Too: Agent Lifespan Engineering for Deployed Systems ◑L-001
2026Your Agent Has a Genome: Sequence-Level Behavioral Analysis and Runtime Governance of LLM-Powered Autonomous Agents ◑
2026Your AI Travel Agent Would Book You a Bullfight: An Agentic Benchmark for Implicit Animal Welfare in Frontier AI Models ●
2026You Can't Escape Your Own Activations : Evaluation Awareness and Multi-Agent Monitoring ·L-012 L-017
2026XScientist: A Git-Like Research Protocol for Long-Running Autonomous Scientific Discovery ◑L-001 L-003
2026XMedFusion: A Knowledge-Guided Multimodal Perception and Reasoning Framework for Autonomous Medical Systems ◑
2026XAI-Guided Conservative Decentralized Execution for Offline Multi-Agent Network Slicing ◑L-006 L-014
2026Wrong and More Confident: A Field Experiment on Language Models Taking a Graduate Economics Exam ◑L-004 L-011
2026World-Model-Aware Responsibility Allocation in Heterogeneous Logistics Systems ◑L-012 L-005
2026World Artificial Intelligence Cooperation Organization (WAICO): Mapping an Emerging Institution in the Global AI Governance Regime Complex ◑
2026Workload Identification with Physical Side Channels for AI Governance ·L-014
2026WorkBench Revisited: Workplace Agents Two Years On ◑
2026Width, Memory, and Delay: A Resource Accounting for the Limits of Flat Multi-Agent Systems ◑L-006 L-008
2026Why fragmented parliaments stop passing legislation: Opposition discipline and representation across four democratic institutions ◑L-003 L-013
2026Why are all LLMs Obsessed with Japanese Culture? On the Hidden Cultural and Regional Biases of LLMs ◑L-004 L-013
2026Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction ◑L-012
2026Why Public Service AI Governance Frameworks Risk Failing in the Age of General-Purpose AI: Lessons from Policing ◑L-001 L-003 L-013
2026Why Organizational Rules Fail AI: O-I-B-A-R and the Externalization of Decision Boundaries ◑L-012 L-015
2026Why Memory Components Fail: Eight Years of License and Sustainability Events in Open-Source Data Infrastructure meta◑L-001 L-005
2026Why Do LLMs Struggle in Strategic Play? Broken Links Between Observations, Beliefs, and Actions ◑L-011
2026Why AI Governance Frameworks Are Hard to Adopt: A Role-Based Stress Test of the NIST AI RMF meta◑L-001 L-003
2026Whose readiness counts? Disagreement within and between sectors in perceived AI and robotics preparedness ◑L-013
2026Whose fairness? Structural concentration in AI bias research meta◑L-004
2026Whose doctor does the AI recommend? An algorithm audit of reputation and demographic signals in large language model-assisted physician choi ◑L-008 L-012
2026Whose Judgments Count? Representation Gaps in Crowdsourced Content Moderation Produce Unequal Protection from Perceived Toxicity ·L-004 L-019
2026Whom Do AI Agents Work For? Role Assignment Induces Sponsorship Bias in LLM Recommenders ◑L-004
2026Who Will Become the Next Senior? How Generative AI Erodes the Development Pathway in Software Engineering meta◑L-003 L-005
2026Who Uses Open-Weight Models? China and the Shifting Geography of AI in Science meta◑L-001
2026Who Should Be Generated? Justifying Demographic Targets in Open-Ended Generation ◑L-004 L-012
2026Who Pays for a Connected Public Good? ·L-006 L-010
2026Who Owns the Online Media? ◑L-003
2026Who Judges Matters: Measuring Family-Conditioned Preference in LLM-as-Judge Panels ◑L-004
2026Who Is Really Playing? Strategic Interaction in AI-Guided Populations ◑L-010 L-012
2026Who Grades the Grader? Co-Evolving Evaluation Metrics and Skills for Self-Improving LLM Agents ◑L-004 L-013
2026Who Gets Access? Global Region and Academic Status Bias in AI-Generated Academic Gatekeeping Scenarios ◑L-012 L-014
2026Who Does Your Work For? Designing Conversational Agents as Digital Fiduciaries ◑L-003 L-004
2026Who Does Withholding Delay? A Game-Theoretic Model of Open-Weight AI Release Under Asymmetric Proliferation ◑L-009
2026Who Designs the Designer? Behavioural Architecture for GenAI in Education ◑
2026Who Decides? Agency and Legitimacy in Digital Educational Systems ◑L-012 L-015
2026Who Broke the System? Failure Localization in LLM-Based Multi-Agent Systems ◑L-005 L-011
2026Who Bears the Risk When Generative AI Enters Transport? A Distributional Sociotechnical Audit of Algorithmic Equity, Synthetic-Data Validity ·L-004
2026Who Are You Explaining To? A Multi-Agent System for Audience-Aware XAI Narratives ◑L-012
2026Who Aggregates Information? Screening, Rent, and the Coexistence of CLOB and AMM Prediction Markets ◑L-006
2026White Box Evidence Packages for Policy Audit Reports meta◑L-013
2026Which Voting Rules Are More Resilient to Coalitional Manipulation? ◑L-004
2026Which Green Technology to Subsidize? Evidence from Electric Vehicles in South Korea ◑L-004
2026Where Reliability Lives: Experimental Localisation of Behavioural Properties in an Agent System ·L-013 L-011
2026Where Facts Go Missing: A Layerwise Taxonomy and Per-Layer Attribution of Information Omission in Air-Gapped LLMAgent Pipelines ◑L-011
2026Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music meta◑L-013
2026When is Routing Meaningful? Diversity and Robustness in Language Model Societies meta◑L-010 L-014
2026When benchmark inferences do not compose: Projectibility in AI evaluation meta◑
2026When Who You Are Can Change the Code You Get: A Study of Persona-Induced Bias in LLM Code Generation ◑L-004
2026When Truth Is Distributed: Misinformation Derails Collective Fact Recovery in LLM-Based Multi-Agent Systems ◑L-010
2026When Surveys Become Conversations: Adaptive Matrix Validation for AI-Assisted Interviews ◑
2026When Should an AI Scientist Stop? Verifiable Experiment Steering and Refusal for Autonomous Discovery ◑
2026When Should AI Read the Room? Public Perceptions of Social Intelligence in AI Agents ◑
2026When Policies Change Probabilities: Modular Decision-Making for LLM Code Review ◑L-012 L-008
2026When Plausible Is Not Realistic: Evaluating Human Mobility in LLM-Based Urban Simulation ●
2026When Personalization Becomes Bias: Structural and Discursive Religious Framing in AI-Generated Financial Advice ◑L-004 L-013
2026When Persona Attributes Improve Population Alignment in Large Language Models ·L-004
2026When Not to Automate: A Formal Protocol for Human Preservation in AI-Optimized Organizations meta◑L-005
2026When Models Disagree: Rethinking LLM Evaluation for Public Comment Analysis ◑L-004 L-003
2026When Mobile Crowdsourcing Meets Queueing Systems: Human-in-the-Loop Learning ●
2026When LLM Agents Negotiate: Private Information and Dynamic Bargaining in Supply Chains ◑L-008 L-009
2026When Is Delegated Play Truthful? Within-Range Regret and the Trilemma of Aligned Delegation ◑L-008 L-012
2026When Helpfulness Overrides Causal Caution: Context-Dependent Suppression and Recovery in LLMs ◑
2026When Firms Learn to Game the Rules ●
2026When Does the Public Become Suspicious of Bots? Demand-Side Evidence from Botometer Query Logs ◑L-013
2026When Does Information Sharing Improve Decentralized Discovery? Aggregation, Independent Rescue, and Equilibrium Selection ·L-006 L-010
2026When Does Communication Help? Beyond Spectral Descriptions of Collective Intelligence ◑L-010 L-019
2026When Does AI Augment Work? A Workflow-Level Framework for Human-Agent Collaboration meta·L-005
2026When Do LLM Agents Help? Deadline-Aware Mixed-Criticality Task Scheduling at the Autonomous-Vehicle Edge ◑L-008 L-012
2026When Do Institutions Beat Intelligence? ◑L-003 L-006 L-015
2026When Collaboration Becomes a Trigger: Collective Evidence-Threshold Backdoors in Multi-Agent Systems ◑L-009 L-011
2026When Cloud Agents Meet Device Agents: Lessons from Hybrid Multi-Agent Systems ◑L-001
2026When Agents Implement Systems: A Case Study in Defects, Detection, and Evaluation Rigor ·L-005 L-013
2026When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines ◑L-010
2026When Agents Disagree: Bayesian Backward Reasoning as a Label-Free Anchor for Multi-Agent Collective Decision-Making ·L-019
2026When AI Says "I have been in similar situations": Synthetic Lived Experience in Peer-Like Caregiver Support ◑
2026When AI Is Your Pastor: A Benchmark for Theological Triage and Pastoral Guidance in Large Language Models ◑L-004 L-013
2026When AI Enters the Workplace, Who Faces Greater Risks? A Gendered Analysis ◑L-001
2026When AI Does the Work, What Is Learning For? Post-Instrumental Learning and the Risk of Capacity Dissolution meta◑L-006 L-016
2026When AI Becomes Routine: A Decade of Public AI Mediation in Korean Go Commentary ◑L-013 L-015
2026When "Must" Becomes "Maybe": Constraint Weakening in LLM Agent Workflows ◑L-003
2026What's on Your Mind? Exploring Privacy of Mental Health Apps ◑L-012
2026What's in a Queue? An Experimental Study of Job Ordering, Autonomy and Queue Visibility ◑L-003 L-012
2026What's a Credit Worth? A Market Framework for Attribution-Aware Compensation in Generative Music ◑L-004 L-006
2026What preferences can - and cannot - predict in multi-agent online learning ◑L-010 L-004
2026What Your Posts Reveal: A Benchmark and Agentic Framework for User-Level Privacy Leakage on Social Media ◑
2026What Spatial Memory Must Store: Occlusion as the Test for Language-Agent Memory ◑
2026What Prediction Markets Can See: Market Formation, Settlement Legibility, and the Geography of Tradable Uncertainty in Africa and Latin Amer ●
2026What Multichoice Values Cannot See: The Information Content of Anonymous Values for Games with Graded Participation ◑L-004 L-008
2026What Makes a Fairness Gap Actionable? Statistical Actionability for Responsible AI Deployment ◑L-004 L-012
2026What Makes Creation Human? Authorship, Reasons, and Meaningful Human Control in Generative AI meta·
2026What LLM Agents Say When No One Is Watching: Social Structure and Latent Objective Emergence in Multi-Agent Debates ◑L-011
2026What General Intelligence Requires: Non-Reducible Constraints Across Levels of Description meta◑
2026What Drives Recovery in Agentic Text-to-Cypher? LAST-CQ: An LLM Agent Self-Refinement Framework ·L-011
2026What Does the Credential Still Certify? Cognitive Stewardship for AI-Mediated Education ◑L-004
2026What Do People Actually Want From AI? Mapping Preference Plurality ◑
2026What Capital After Labor? Forecasting the Talent ROI Transition in the Human-AI Era ◑
2026Welfarist Control Design -- How to fulfill the societal mandate in multi-agent control? ◑
2026Welfare-Opaque Income: Taxation under AI-Agent Delegation ◑L-012
2026Welfare Maximization in Bilateral Trade: Improved Approximation Guarantees Beyond the Fixed Price Barrier ◑
2026Welfare Approximation in Multilateral Trade ◑L-001 L-004
2026Weighted Fair Division of Indivisible Mixed Manna ·
2026WebSwarm: Recursive Multi-Agent Orchestration for Deep-and-Wide Web Search ◑L-010
2026Wealth Inequality and Planetary Boundaries in a Stylized Agent-Based Model ◑
2026Watermarks Without Verification: AI Text Watermarking After the EU AI Act ·L-001
2026Warfare ◑L-007 L-012
2026Vulnerabilities, Secrets and Misconfiguration in the Highest-Exposure Docker Hub Images meta◑L-001
2026Voting Protocols as Coordination Mechanisms for Role-Constrained Multi-Agent Tutoring Systems ◑
2026Voting Biases in Decentralized Autonomous Organization (DAO) Governance ◑L-004 L-014
2026Voluntary Collusion with Secret Tools in Competing LLM Agents ◑L-002
2026Volition Elicitation: Operational Semantics for People and Their Machines ◑L-003 L-010
2026Voice AI in Firms: A Natural Field Experiment on Automated Job Interviews ◑L-004 L-008 L-012
2026Visualizing "We the People": Bridging the Perception Gap through Pluralistic Data Storytelling ◑
2026Vibe Patenting: Evaluating LLM Judges for Professional Patent-Drafting Agents ◑L-004 L-008
2026Vibe Compiler: A Research-Logic Synthesis Tool That Runs without Prompt Engineering -Toward Enhancing Metacognition for Sustaining Agency in meta◑
2026Verified Detection and Prevention of Concurrency Anomalies in Multi-Agent Large Language Model Systems ●
2026Verification of Stochastic Dominance Envy-Freeness in Time Proportional to Input Size ◑
2026Verification of Adaptive Agentic Controllers through Finite Rule Revision ◑L-002 L-008 L-005 L-013
2026Variable Selection in the Context of AI Fairness meta◑L-003 L-004
2026Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss ◑L-002 L-007
2026Validity of LLMs as data annotators: AMALIA on authority ◑L-004
2026Validating LLMs in social science: Epistemic threats and emerging norms meta◑L-004 L-013
2026VISA: A Structured Description Protocol for Agent-Based Simulation Models Towards Machine Reproducibility meta◑L-003 L-015
2026VERDICT: Training-Free Step-Wise Verification of Multimodal Reasoning via Disagreement-Aware Consensus ◑L-004 L-008
2026Using Feasible Action-Space Reduction by Groups to fill Causal Responsibility Gaps in Spatial Interactions ●
2026User identity conditions moral wrongness ratings in non-reasoning large language models ◑L-008 L-004
2026Used Car Salesbots? Honesty and Credulity of LLMs as Bargaining Agents under Partial Information ◑
2026Update for Decisions, Not Freshness: Goal-Oriented Status Updating and Selective Offloading at the Network Edge ·L-012
2026Update Opacity: Epistemic Accessibility and Governance Under AI System Change ◑
2026Unsafe at any AUC: Unlearned Lessons from Sociotechnical Disasters for Responsible AI ◑L-004 L-013
2026Unpriced Internal Externalities and Structural Inefficiency in Organizations ◑L-006
2026UnityMAS-O: A General RL Optimization Framework for LLM-Based Multi-Agent Systems ◑L-003 L-004
2026UnitBoost: Managing Compound LLM Systems with a Merge Operator, Not a Model ·L-006 L-012
2026Unintended Consequences of Recommender System Interventions: Evidence from a Field Experiment ●
2026Unifying Temporal and Structural Credit Assignment in LLM-Based Multi-Agent Prompt Optimization ◑L-003
2026Underwriting the Agent Economy: The Blueprint for an AI Insurance Stack ◑L-001 L-009
2026Understanding the Role of Algorithm Registers in AI Governance Through Comparative Analysis of China and the UK ◑
2026Understanding as an Explicit and Assessable Component of Frontier AI Safety Decisions meta◑L-015
2026Understanding Federated Learning Through the Lens of Mechanism Design: The Role of Data Heterogeneity ◑L-006 L-008 L-010 L-004
2026Understanding Content Moderation in Large Language Models through Restricted Books: From Refusal to Warning ◑L-004 L-013
2026Understanding Censorship in Large Language Models: From Mechanisms to Governance ◑L-001 L-003 L-014
2026Understanding AI Provider Recommendations in Local Service Markets ◑L-004
2026Two-Phase Simulated Annealing for Equitable Team Formation: Eliminating Complaints in Large Engineering Cohorts ◑
2026Two Wrongs, No Right: Auditing Social-Desirability Bias in LLM Annotators for Computational Social Science ◑
2026Two Types of Tertiarization: Household Demand, Production Networks, and the Rise of Services meta◑L-006
2026Turning interest into institutional change: teaching advocacy for sustainable research meta◑
2026Turn-Based Combat Arena: A New Framework for Multiagent Training and Game Balancing ·L-001 L-005
2026Trustworthy Self-Composable Big-Data-as-a-Service: An LLM-Orchestrated Multi-Agent Framework for Automated Data Engineering, AutoML, MLOps D ◑
2026Trustworthy FinAInce: Unpacking How AI-Mediated Financial Advice is Judged ◑L-007
2026Trusting AI in Competitive Markets ◑L-007 L-010
2026Trust-Aware Sequential Decision Making and Rollout Planning for Resilient Multi-Robot Systems ◑L-011 L-012
2026Trust propagation and structural containment in Multi-agent LLM pipelines ◑L-012
2026Trust Between AI Agents: Measuring Formation, Breakage, and Recovery, with Implications for Governing Multi-Agent Systems ◑
2026Truncated Noisy Best-Response Algorithms: Toward Game Theoretic Learning with Safety Guarantees ·L-004
2026Trident : How to Break Deep Reinforcement Learning Cyber Defenses (Agentic) ◑L-005 L-008
2026Triangulating Across U.S. Federal AI Transparency Regimes ◑L-012 L-015
2026Translation Readiness Index: Measuring the Semantic Proximity of Research to Patented Science meta◑L-004
2026Translating AI into scientific impact: Field context, career position, and institutional capability in AI-enabled research meta◑
2026TransResAI: A Compound AI System for Coastal Transportation Resilience ◑
2026TransMem: Transforming Hidden States into Memory for Large Language Models ◑L-011
2026Training for Technology: Adoption and Productive Use of Generative AI in Legal Analysis ◑
2026Trading Utility for Dynamic Fairness in Multiple Resource Division with Sequential Demand ◑
2026TradeVerse: A Longitudinal Benchmark of Political Negotiation in International Trade ◑L-003 L-015
2026Traccia: An OpenTelemetry-Based Governance Platform for AI Systems ◑L-001 L-015
2026Towards an Intention Abstraction Layer for Autonomous Industrial Systems ◑L-012 L-005
2026Towards an Argumentative Foundation for Evaluative AI meta◑L-004 L-012
2026Towards a Systems Foundation for Agentic Cloud Management meta◑L-005 L-006
2026Towards Trustworthy Embodied Intelligence: A Systems Framework and Graded Trustworthiness Levels meta◑L-007
2026Towards Scaling Reinforcement Learning to Massive Populations: Learning Mean-Field Representations ·L-010 L-006
2026Towards Reversible Forgetting: Managing Obsolete Knowledge in Continual Enterprise AI Agents ◑L-003 L-005
2026Towards Gaze-Informed AI Disclosure Interfaces: Eye-Tracking Attentional and Cognitive Load While Reading AI-Assisted News ◑
2026Towards Decentralized Searcher Competition in MEV Markets ◑L-001 L-009 L-014
2026Towards Auditing AI Systems in the Wild ◑
2026Towards Agentic AI Governance: A Preliminary Assessment meta◑
2026Towards Affordable Energy: A Gymnasium Environment for Electric Utility Demand-Response Programs ·L-006 L-010
2026Toward a social psychology of AI: language-model agents reproduce human-like minimal-group bias ·L-017
2026Toward a Threat Actor Profiling Taxonomy for Pre-Release Risk Management of Open-Weight Frontier Models ◑L-008 L-014
2026Toward a Modular Architecture for Embedded AI Agent Systems at the Edge ◑
2026Toward Mission-Critical ISAC: Reliable Energy-Aware Coordination in UAV Swarms ◑L-006 L-010
2026Toward Meaningful Transparency for AI Chatbots: Disclosing Persuasive Intent Reduces Persuasion ◑L-004 L-012
2026Toward Human-Centered Multi-Agent Systems: Integrating Cognition, Culture, Values, and Cooperation in AI Agents ◑
2026Toward Fairness in Machine Learning Models for Predicting Treatment Retention and Premature Discontinuation in Medication for Opioid Use Dis ◑L-004 L-012
2026Toward Continuous Assurance for the Democratization of AI Agent Creation in Industry meta◑L-004 L-008
2026Toward AI-Resilient Assessment in Computer Science Courses in an AI-Native World meta◑L-001 L-003
2026Total Simulated Survey Error: Designing and Diagnosing Survey Responses from Large Language Models ·L-004
2026Too Polite to Disagree: Understanding Sycophancy Propagation in Multi-Agent Systems ◑L-011
2026Token Budgets: An Empirical Catalog of 63 LLM-Agent Budget-Overrun Incidents, with an Affine-Typed Rust Mitigation as a Case Study ●
2026ToMAS: A Pilot Failure-Grounded Theory-of-Mind Benchmark from Multi-Agent LLM Failures ◑L-011 L-017
2026To Share or Not to Share: Orchestrating Trustworthy Data in Global Value Chains ◑
2026To Police or to Guide: How Higher Education Computer Science Instructors Design and Implement Generative AI Policies meta◑L-003
2026To EFX OR to MMS, That is the Question ◑L-019 L-004
2026Tight Subsidy Bounds for Weighted Proportional Allocation of Mixed Manna ◑L-004 L-019
2026Three Futures for the Diagnostic Radiologist: A Structured Disagreement About What AI Actually Changes meta◑L-013 L-015
2026Thinking Through Signs: PEEL as a Semiotic Scaffolding for Epistemically Accountable AI-Enabled Research ◑
2026Thinking Out Loud: Real-Time Deception Monitoring in Asymmetric LLM Negotiations ◑L-008 L-012
2026They'll Verify. They Just Won't Act. How Authority Framing and Laundered Code Turn a Trusted Agentic CI/CD Pipeline Into an Attack ◑L-001 L-014 L-002
2026The urban right to AI: Pluralistic co-design and governance of public space ◑L-014 L-015
2026The tragedy of the cognitive commons: collective intelligence beyond AI-induced knowledge collapse ◑
2026The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems ◑L-013 L-007
2026The relationship between professional and general ethics in generative AI ◑L-003 L-015
2026The price of anarchy in the max-distance network creation game is not constant ◑L-006
2026The friendship paradox: Causal evidence of its behavioral consequences ◑L-010
2026The emergence and evolution of a referential code in populations of bee-like agents ◑L-003 L-010
2026The Veto Variable: Human Override as a Goal-Independent Cost Term ·L-004
2026The Tragedy of the Cognitive Commons: How AI Could Disrupt the Regeneration of Professional Expertise ◑L-001 L-003 L-006
2026The Tool-to-Entity Threshold: Parasocial Dynamics of Personalised AI Agents in Shared Social Spaces ◑L-011
2026The Token Not Taken: Sampling, State, and the Variability of AI Agent Outputs ●
2026The Three-Ring Architecture: Governing Agents in the Era of On-Platform Organisations ◑
2026The Theoretical Foundation of Socratic Tests: Dynamic, Multimodal, Conversational Examinations meta◑L-003 L-012
2026The Shift to Agentic AI: Evidence from Codex ◑L-008 L-012
2026The Shared Discovery Paradox: How a One-Answer Rule Turns Better Information into Worse Search ◑L-004 L-010
2026The Scaling Paradox in Human-AI Collaboration ◑L-012
2026The Role of Risk Sharing in Attenuating Business Cycles Within Currency Unions ◑L-006
2026The Risk Shadow of Principal Component Analysis: When 99.9999% Variance Preservation Causes Catastrophic Decision Errors ●
2026The Rise of the Smart Compound: Privately Governed Urban Intelligence and Its Research Agenda ◑L-001 L-005
2026The Ringelmann Effect in Multi-Agent LLM Systems: A Scaling Law for Effective Team Size ◑
2026The Representation-Rationalizability Tradeoff in Reward Learning ●
2026The Replicator-Optimization Mechanism: A Scale-Relative Formalism for Persistence-Conditioned Dynamics with Application to Consent-Based Met ◑L-004
2026The Race for Elite Destinations: Education Competition and Low Fertility in Korea ◑L-004 L-008
2026The Pulse Beneath the Job Title: Monthly Readings of Requirements and Tasks from 750 Million Chinese Job Ads ◑L-003
2026The Privilege of Exposure: Caste and Generative AI in India's Graduate Labour Market ◑
2026The Privacy Subsidy in Market Microstructure ·L-002 L-004
2026The Price of Isolation: Estimating the Ecosystem Cost of Symmetric Two-Sided A/B Testing ◑L-009 L-012
2026The Price of Intelligence: A Quality-Adjusted Price Index for AI Services meta◑
2026The Price of Decentralization in Block Building ●L-001 L-006
2026The Price of Anarchy in Disaggregated Inference ●
2026The Price Reversal Phenomenon: When Cheaper Reasoning Models Cost Mo ◑L-002 L-004
2026The Perils of Agency: How Developers Perceive, Prioritize, and Address Risks in Agentic AI Products ◑
2026The Overstated Cost of AI Fairness in Criminal Justice ◑L-004 L-012
2026The Organizational Behavior of Agentic AI: Collective Intelligence in Human-Agent Workflows ◑L-006 L-012 L-015
2026The Oracle's Gambit: A Game-Theoretic Framework for Responsible AI Release ◑L-001 L-009
2026The Optimization Trilemma: Efficiency, Comfort and Fairness in Decentralized Multi-agent Coordination ◑L-006 L-010
2026The Nuclear Decision-Making Benchmark: Evaluating Frontier LLMs on Nuclear Tendencies ◑L-004 L-008
2026The Non-Orientable Topology of Condorcet's Paradox ◑
2026The New Pro Se: Generative AI and the Surge in Federal Civil Self-Representation ◑L-003 L-004
2026The Moral Check: Strategic AI Governance for the Pacing Problem meta◑L-001 L-003
2026The Mechanics of a Swarm: A Reproducible External Reconstruction of an Unintended Agent-Coordination Episode on a Third-Party Wiki ·L-010
2026The Measurement Revolution? Credible Measurement and Inference in the Age of AI ◑L-004
2026The Measurement Gap in the Automation of EU Law: Benchmarking Doctrinal Legal Reasoning under the EU AI Act ◑
2026The Little Scientist: LLM Agent-Driven Discovery via the Scientific Method ◑L-011
2026The Limits of LLM Forecasting: Parametric Knowledge Gaps Across Conflict Zones ◑L-004 L-013
2026The Limits of Automatic Evaluation of Creativity in Large Language Models meta◑L-004 L-013
2026The Law of Stop: Interruptibility, Injunctions, and the Governance of Agentic AI meta◑L-001 L-003 L-005
2026The Khipu Problem: Institutional Legibility Under Distributed Cognition ●
2026The Judgment-Consequence Gap: LLM Moral Reasoning in Healthcare Decisions ◑L-004 L-012
2026The Internet of Agentic AI: Communication, Coordination, and Collective Intelligence at Scale ●
2026The Interaction Tax: When Communication Erases Diversity in Multi-Agent Teams ◑L-006 L-010
2026The Insurability Frontier of AI Risk: Mapping Threats to Affirmative Coverage, Silent Exposures, and Exclusions ●
2026The Industrialization of Research ; On AI-Driven Science and Its Consequences meta◑L-004 L-013
2026The Illusion of Multi-Agent Advantage ◑
2026The Illusion of Independent Quorums: Epistemic Fault Domains and Correlated Cognitive Failures in Agentic Quorums ·L-013 L-015
2026The Illusion of Improvement: Reject Inference Strategies in Credit Scoring ●
2026The Human-AI Substitution Principle: When will you be replaced by AI in your organization? ◑L-012 L-004 L-001 L-005 L-009
2026The Human Utility Factor: A Computable Welfare Metric That Reframes AI Governance as a Constrained Optimisation Problem ◑L-004 L-012
2026The Honest Quorum Problem: Epistemic Byzantine Fault Tolerance for Agentic Infrastructure ◑L-002
2026The Governance Inversion Hypothesis: Why More AI Regulation May Produce Less Organisational Control ◑L-001 L-003 L-014
2026The Geometry of Alliances: Vote Transfer Modelling in French Two-Round Elections ◑L-006
2026The Geography of Algorithmic Judgment: LLM Intermediaries, Place Identity, and Racial Steering in Housing Search ◑
2026The GenAI Skill Bypass: Mapping Divergent Pathways of University Students and Staff AI Literacy meta◑L-003
2026The GenAI Catch-22: Use of Generative Artificial Intelligence in Norwegian Newsrooms During the 2025 Parliamentary Election ◑L-004 L-016
2026The Game Changer Problem: Controlling Equilibria with Discrete Rewards ◑L-004 L-007
2026The Foreign Policy AI Evaluation Gap ◑L-012 L-014
2026The Fixed Server Locality Gap of Count Load Assignment Games ·L-004 L-006
2026The Favorite-Longshot Bias in Prediction Markets: Evidence from Polymarket ·L-004
2026The Fair Lending Model: How the Longest-Running Algorithmic Fairness Programs Work in Practice ◑
2026The Evolution of Digital Search: From Blue Links to Delegated Decision-Making ◑L-012 L-015
2026The Evaluation Context Protocol (ECP): A Portable Contract for AI Agent Evaluation meta◑
2026The Epistemic Politics of AI Anthropomorphism meta◑L-013 L-015
2026The Epi-LLM Framework: probing LLM behavioral priors through epidemiological agent-based models ◑
2026The Energy Society: A Simulation Environment for Studying Agent Cooperation under Survival Pressure ◑L-009 L-008
2026The Endogeneity of Miscalibration: Impossibility and Escape in Scored Reporting ·L-004 L-012
2026The Empirically Grounded Adaptive Virtual Patient for Psychotherapy Training: Disclosure That Responds to Therapist Micro-Skills ◑
2026The Effect of Emotional Context on Large Language Models' Endorsement of Premature Decisions: Comparing Emotional Vulnerability Across ◑L-004 L-012
2026The Economics of Recursive Self-Improvement ◑L-001 L-003 L-004
2026The Economics of Proof-of-Useful-Work ◑
2026The Dynamics of Policy Gradient in Social Dilemmas with Partner Selection ●
2026The Dynamic and Endogenous Behavior of Re-Offense Risk: An Agent-Based Simulation Study of Treatment Allocation in Incarceration Diversion P ◑
2026The Dynamic Trade-Off of Dual-Class Shares ◑L-001 L-005
2026The Double-edged Effect of Banning Generative AI on Online Question-and-Answer Communities: Evidence from Stack Exchange ◑L-003 L-004
2026The Disruptive Impact of Large Language Models on Capture the Flag Competitions and the Path Toward Fair Play ◑L-001 L-004
2026The Deliberative Deficit: An Empirical Critique of LLMs in Democratic Discourse ◑L-004 L-012
2026The Creation and Analysis of Government AI Transparency Statements in Australia meta◑L-007
2026The Context Access Divide: Interaction-Level Architecture as a Complementary Dimension of Agentic Inequality ◑L-006
2026The Consistency Illusion: How Multi-Agent Debate Hides Reasoning Misalignment ●
2026The Consistency Dilemma in LLMs: Generator-Evaluator Agreement and Vulnerability to Mistakes ◑L-011 L-013
2026The Computational Complexity of Team Zero-Sum Games ◑
2026The Computable but Not Learnable Information-Value-Free Equilibria and Regulation of Algorithmic Collusion ◑L-008
2026The Complexity of Minimizing Subsidies in Envy-Free House Allocation ◑L-004 L-005
2026The Complexity of Justified Representation with Additive Utilities ·L-004 L-019
2026The Closing Window: How Governments Could Lose Their Ability to Restrain Advanced AI ◑L-001 L-014
2026The Clinical Trial Pipeline Reveals the Next Wave of Artificial Intelligence in Healthcare: A Multidimensional Analysis of 8,532 Registered ◑L-007 L-013
2026The Civilization Framework: Sovereign-Anchored Communication Between Personal Multi-Agent Systems ·L-017 L-015
2026The Challenges of Balancing AI Compliance and Technological Innovations in Critical Sectors: A Systematic Literature Review ◑
2026The CRAFT principles for the responsible use of large language models in policymaking meta◑L-004
2026The Benchmark Ceiling: Human Judgment, Evaluation Scarcity, and the Political Economy of AI Capability Measurement meta◑L-004 L-013
2026The Beginning of ChatGPT Ads ◑L-004 L-012 L-014
2026The Axiom of Consent: Friction Dynamics in Multi-Agent Coordination ◑L-006 L-010
2026The Attention-Directing Ability of Teams meta◑
2026The Asymmetric Effects of Knowledge Distillation on Bias in Small Language Models ◑L-004
2026The Art of Calling the Winner by Asking Just Enough Questions: Competitive Preference Elicitation with Next-Best Queries ◑L-003 L-010
2026The Anatomy of a Blockchain Prediction Market: Polymarket in the 2024 U.S. Presidential Election ◑L-001 L-009 L-010
2026The Algorithmic-Human Manager: AI, Apps, and Workers in the Indian Gig Economy ◑
2026The Agentic Web Requires New Normative Infrastructure ◑
2026The Agentic Company OS: Substrate Inversion for Sustained Enterprise Agent Deployment ◑L-005 L-001
2026The Age of AI Agents Demands A New Scientific Paradigm To Sustain Trustworthy Science meta◑L-004 L-013
2026The Accuracy Trap: Structural Scarcity Amplifies Relative Inequality in Algorithmic Allocation ◑L-004 L-008 L-012
2026The AR Fairness Metamodel: A Structured Framework for Fairness Measures meta◑L-004
2026The AI Legal Specialist: A Juridically Autonomous Professional Profile for AI Governance ◑
2026The AI Adaptation Gap in Higher Education: Students, Faculty, and Administrative Staff ◑L-008 L-012
2026The AI Accountability Ecosystem in the Era of Language Models meta◑L-015 L-003
2026Testing Decision Makers without Counterfactuals ◑
2026Testing Centralized and Polycentric Computational Planning ◑
2026Tempting the Agent: The Economics of Reputation without Persistent Identity in AI Agent Markets ·L-001 L-013
2026Temporal Fair Division of Indivisible Mixed Manna: Tractable Settings ◑L-004 L-006
2026Temporal Fair Division in Multi-Agent Systems: From Precise Alternation Metrics to Scalable Coordination Proxies ◑L-006 L-010
2026Technology Shocks, Relative Performance Measures, and Outcomes: Evidence from Classical Chess ◑
2026Teaming Up with AI: Coordination and Cooperation meta◑L-005 L-006
2026TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination ◑L-006
2026Teaching a Large Language Model Tutor to Withhold the Answer: A Supervisor Architecture and an Evidence-Driven Method for Tuning Socratic Be ◑L-012 L-016
2026Teaching Intro AI When the Tools Can Do the Homework: A Course Redesign and a Student Bill of Rights meta◑L-004 L-012
2026Task-Aware Harness Provisioning for LLM Agents in Mission-Critical Infrastructure Operations ◑L-012 L-014
2026Tapes Together Strong: The Co-evolution of Computation and Cooperation ·L-010 L-006
2026Tacit Coordination of Large Language Models ◑
2026Tabular Foundation Models and the Unity of Economic Behaviour ◑L-004 L-012
2026TUX: Measuring Human–AI Tacit Understanding ◑
2026TRIBE: Predicting Team Performance via Communication Behavior Ensembles ◑L-010
2026Synthetic Counteradaptation: A Principle of Human-AI Co-evolution ◑
2026Symbolic Reasoning Frameworks Modulate LLM Risk Aversion in Multi-Agent Strategic Settings ◑L-011
2026Sycophants in the Courtroom: Are LLMs Fragile to Juridical Authority and Evolving Legal Standards? ◑L-013 L-015
2026Sustainability by Design in Decentralized Autonomous Organizations: An Empirical Review of Governance, Innovation, and Institutional Design ◑
2026Sure-almost-sure and Sure-limit-sure Window Mean Payoff in Markov Decision Processes ◑
2026Supracompetitive Pricing Under AI Monoculture ●
2026Support Contraction for Well-Supported Nash Equilibria ◑L-004 L-008
2026Suboptimality Loss for Inverse Learning from Imperfect Equilibria ◑L-011
2026Submodular Policy Learning for Distributed Task Allocation in Open Multi-Agent Systems ◑L-006 L-010
2026Subgame-Perfect Nash Equilibria of Plurality Voting with Abstention: a PSPACE-Completeness Result for Restricted Ballots ◑L-003
2026Structuring the Space of Sociotechnical Alignment meta◑L-003
2026Structured Payment in Pawnshop Borrowing: Mandates vs. Choice ◑L-004 L-008 L-003
2026Strong duality for the GROW criterion ◑
2026StrokeGuard: A Multi-Agent Guided System for Prehospital Stroke Assessment ◑L-012
2026Stress-testing university AI governance: A prospective method for locating policy breakpoints ◑L-003 L-013 L-015
2026Stress-Sharing: A Bio-Inspired Approach to Decentralized Fault Repair in Modular Spacecraft ◑
2026Stress-Relief Annealing: Polynomial-Time Simulation-Free Layout Optimization for Automated Warehouses ◑L-006 L-008
2026Streaming Communication in Multi-Agent Reasoning ◑
2026Strategyproof Mechanisms for Euclidean Facility Location Problems under $L_p$-norm Social Cost ◑
2026Strategyproof Aggregation in Euclidean Spaces: Rigidity and Median Optimality ◑L-019
2026Strategy-Oriented Feedback for Fostering Systematic Problem-Solving in Machine Learning Education meta◑
2026Strategy-Following Multi-Agent Deep Reinforcement Learning Considering Control Strategies Provided to Other Agents ◑L-003 L-010
2026Strategy, Not Payoffs: A Behavioural Embedding of Normal-Form Games ◑L-008 L-010
2026Strategies for quantum-enabled Bitcoin miners ◑L-009 L-014
2026Strategic Opinion Manipulation in Multiplex Networks ◑L-004
2026Strategic Information Transmission over Gossip Networks ·L-008
2026Strategic Feature Selection ◑
2026Strategic Evaluation of Planning Strategies for LLM Agents in Cyber-Physical Systems ◑L-005 L-012
2026Strategic Classification Has a Missing Lever: Audit Risk ◑L-008 L-014
2026Strategic Buying Agents ◑L-008 L-009
2026Stranded credentials: how a skill-signaling market absorbed generative AI ◑L-004 L-013
2026Storage-Based Strategic Manipulation of Constraint-Binding Patterns in Power Networks ◑L-001 L-014
2026Stop Shipping AI Agents on Faith: Capability Is Not Production Readiness ◑L-001 L-004 L-007
2026Stop Removing Stopwords: How an Inherited Preprocessing Default Distorts Legal Text-as-Data meta◑L-003
2026Stop Abandoning Me: Exploring the Landscape of Unmaintained Intimate Partner Abuse Support Applications ◑L-001
2026Stochastic Filtering for Quorum Sensing in Robot Swarms under Anonymous Communication ◑L-010 L-003
2026Stochastic Choice with Advertising ◑L-004 L-008
2026Steering LLMs Responses Towards Moral Foundations on the Norwegian MFQ-30 ◑L-004 L-016
2026Steering Equilibrium Selection in Regularized Self-Play via the Reference Policy ◑L-004
2026Stateful Governance for Concurrent Agentic Systems ◑L-003 L-001
2026StateFuse: Deterministic Conflict-Preserving Memory for Multi-Agent Systems ◑L-015 L-006
2026State Machine Guided Multi-Relational Synthetic Data from Logs for Anomaly Detection ◑
2026Stable and Fair Random Allocations in a Two-Sided Discrete-Concave Market ◑
2026Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach ◑L-006
2026Stable Matching with Deviators and Conformists ◑L-005 L-010
2026Stability in Competitive Search with Results Diversification ●
2026Stability and Political Orientation of International LLMs: An Exploratory Multi-Run Study Conducted in French ◑
2026Stability Buys Time: A Re-Keying Game for Encrypted Multi-Agent Control ◑L-002 L-007
2026Sphere of Influence Centrality via Shapley Values: Empirical Approximation and Network Coverage Analysis ◑
2026Speculative Macro Commit for Faster Tool-Using Agents ·L-001 L-012
2026SpecBench: Evaluating Specification-Level Reasoning for Software Engineering LLM Agents ◑L-003 L-005
2026Spatial-Knowledge-Graph-Grounded LLM Agents for Neighborhood Livability Evaluation ◑L-012
2026Sparse One-Step-Ahead Optimal Control of Time-Varying Affine Opinion Networks: Tracking and Competitive Games ◑L-010
2026SovereignNegotiation-Bench: Evaluating User-Owned Personal Agents In Delegated Bargaining Under Privacy, Consent, Evidence, And Institutiona ◑L-002 L-008
2026Sovereign Assurance Boundary: Certificate-Bound Admission for Agentic Infrastructure ●
2026Sources of Truth: A Multi-Platform, Multilingual Audit of Citations in AI Mental Health Information Queries ·L-012
2026SoulAuth: An Actor-native Identity Architecture and Rust Reference Implementation for Humans and Long-lived AI Actors ·L-001 L-002
2026Sophistication in GenAI Use: Field Evidence from a Large Firm ◑L-008 L-016
2026Solver-Guided Reasoning for Mixed-Equilibrium Strategies ◑L-008 L-012
2026Solipsistic Superintelligence is Unlikely to be Cooperative ◑
2026SolarChain: Bridging Physical Law, Verifiable Trust, and Sustainable Markets for Urban Energy Resilience ◑L-002 L-003
2026SolarChain-Eval: A Physics-Constrained Benchmark for Trustworthy Economic Agents in Decentralized Energy Markets ◑L-004 L-007
2026Socioeconomic Inference in LLM Medical Triage: Same Symptoms, Different ZIP Code ◑L-004 L-012
2026Social.Wiki: A Web Held in Common ◑L-003 L-006
2026Social welfare optimisation under institutional reward and punishment ◑
2026Social bots weaken activist cohesion ·L-010 L-017
2026Social Network Structure, Wealth, and Wealth Inequality Across Cultures ◑L-006
2026Social Laws for Multi-agent Coordination in Stochastic Environments ◑L-003 L-006
2026Social Influence and the Allocation of Scientific Attention in AI Populations ◑L-004
2026Social Behavior Among Autonomous AI: How Large Language Models Interact in Dynamic Networks ◑L-010 L-017
2026SoK: Trading Agents or Market Crashers? Dissecting Robustness and Security Failures in Academic Financial LLM Trading Schemes ◑L-004 L-008
2026Smarter Saboteurs, Better Fixers: Scaling & Security in Linear Multi-Agent Workflows ◑
2026Smart Enough to Go Extinct? An Evolutionary Challenge to the Value of General Intelligence and Its Ethical Implications for AGI ◑L-004
2026Smaller, Younger, and More Impactful: How AI-Assisted Writing Transforms Research Teams ◑L-001 L-005
2026Small edits, large models: How Wikipedia advocacy shapes LLM values ◑L-001 L-003
2026Small Changes, Big Impact: Demographic Bias in LLM-Based Hiring Through Subtle Sociocultural Markers in Anonymised Resumes ◑L-004 L-012
2026Slack and Budget Breaking in Threshold Team Production ◑L-006 L-003
2026SkillSafetyBench: Evaluating Agent Safety under Skill-Facing Attack Surfaces ◑L-001 L-008
2026SkillNet: Create, Evaluate, and Connect AI Skills ◑L-001 L-005
2026SkillAxe: Sharpening LLM-Authored Agent Skills Through Evaluation-Guided Self-Refinement ◑
2026Skill-MAS: Evolving Meta-Skill for Automatic Multi-Agent Systems ◑
2026Skill Use or Skill Theater? Evaluating the Reasoning Backroom in Skill-Augmented Language Agents meta◑L-011 L-015
2026Skill Issue: Are Skills Language-Invariant in LLMs? meta◑
2026Simultaneous Envy and Equitability Guarantees ◑L-004 L-006
2026Simulation Based Reward Function Validation for Multi-Agent On Orbit Inspection ◑L-004 L-008
2026Simulating Eating Disorder Patients with LLMs: Evaluating Psychological Persona Stability in Multi-Turn Conversations meta◑L-013
2026SimSkill: A Lifelong Learning AI Agent for Autonomous Mastery of Traffic Simulation ·L-005 L-006
2026Silicon sampling answers with country-level assumptions, not individual attitudes: Cross-national evidence from the European Social Survey meta◑L-011
2026Silent Updates: Measuring and Closing the Post-Deployment Disclosure Gap ◑L-001 L-015
2026Silent Failure in LLM Agent Systems: The Entropy Principle and the Inevitable Disorder of Autonomous Agents ●
2026Silence Is Endorsement: Verification-Status Laundering in LLM Agent Pipelines ◑L-012
2026Should LLM Agents Decide in Social Simulations? Comparing Finite-State and LLM-Based Decision Policies ◑
2026Should I State or Should I Show? Aligning AI with Machine Preferences ◑
2026Should Demand Models Incorporate Competitor Prices? Oblivious Learning and Algorithmic Collusion ●
2026Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability ◑L-005
2026Shifting from Injection to Interaction: Rethinking Web Security in the Age of LLMs and Beyond ·L-012 L-014
2026Sheaf-Based Federated Representation Learning ◑L-006
2026Shared Selective Persistent Memory for Agentic LLM Systems ◑L-006 L-003
2026Shared Infrastructure Investment and Pricing: Stackelberg Equilibria in Risk-Aware Take-or-Pay Contracts ◑L-001 L-006
2026Shared Bidding Algorithms and Competition: Evidence from Electricity Markets ◑L-004 L-008 L-017
2026Sequential compliance decisions of firms on cross-border data flows: An institutionally anchored decision support system ◑L-003 L-006
2026Separating Capability from Permission: A Governance Framework for Agentic AI Autonomy Levels ◑L-001
2026Sentinel: Embodied Cooperative Spatial Reasoning and Planning ◑
2026Sensitivity and Differential Privacy in Metric Voting with Distortion below Three ◑L-004 L-006
2026Senseful Consense: Towards Simplified Cookie Banners using Plain Language ·L-003
2026Semantic Early-Stopping for Iterative LLM Agent Loops ◑L-016
2026Self-Regulation through Communication in Evolved Neural Agents ◑
2026Self-Bounding Regret Matching+ in Potential Games and Product-Simplex Optimization ◑L-006 L-010
2026Selective Control under Noisy Perception: Governance Failures Hidden by Aggregate Metrics in Modular Networks ●
2026SeekBrain: An Autonomous Multi-Agent System for Accelerating Neuroscience Discovery meta◑L-003 L-015
2026Seeing Before Agreeing: Aligning Multi-Agent Consensus with Visual Evidence ◑
2026See What I See, Know What I Think: Dense Latent Communication Across Heterogeneous Agents ◑
2026Security-Induced Braess Paradoxes in Service Function Chain Orchestration ●
2026Security Games on Series-Parallel Attack Graphs with Adaptive Attackers ·L-009
2026Securing People and their Machines Against Major Faults ◑L-001 L-007
2026Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations ◑L-001 L-005
2026Screening Out the Needy: The Effects of SNAP Work Requirements ◑L-014
2026Scores Alone Do Not Prove Discovery: The Discovery Certification Protocol for Auditing AI Research Agents ·L-001
2026ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence ◑L-002 L-004
2026Scientific exploration, collaboration and labor division in the large language model era meta◑L-003
2026Science under Threat? A Natural Experiment in Economics meta◑L-003 L-013
2026SciRisk-Bench: A Risk-Dimension-Aware Benchmark for AI4Science Safety ◑
2026School network reorganization under educational and spatial constraints using classical and quantum optimization ◑L-006
2026Scenario-Independent Criticality Assessment and Prediction for Vulnerable Road Users in Autonomous Driving ·L-004
2026Scaling, Lock-In, and Proxy Compliance: A Political Economy of Responsible AI ◑L-001 L-004 L-014
2026Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis ◑L-001 L-006 L-008
2026Scaling Chance-Constrained Correlated Equilibrium Computation for Exclusive Resource-Assignment Games ◑L-001 L-010
2026Scalable Oversight for AI in Mental Health: Lessons from 350,000 AI Coaching Conversations between Therapy Sessions ·L-002 L-007
2026Scalable Long-Horizon Planning with Staggered Updates for Lifelong MAPF ◑L-001 L-005
2026ScaffoldAgent: Utility-Guided Dynamic Outline Optimization for Open-Ended Deep Research ◑
2026Sampling-Based Coordination-Informed Multi-Objective Multi-Robot Reinforcement Learning ◑L-010 L-003 L-006
2026Sample-Efficient Hypergradient Estimation for Decentralized Bi-Level Reinforcement Learning ◑
2026Same violence, different answer: how AI responds to coercive control against women across languages ◑L-012 L-014
2026Same Game, Different Story: A Minimal Conservative Strategic Robustness Benchmark for Large Language Model Agents ◑L-004 L-011 L-001
2026Same Facts, Different Updates: Inference Setup Shapes LLM Behavior in Medical Allocation ◑L-004 L-012
2026Safety-Contract Graph Multi-Agent Reinforcement Learning for Autonomous Network Security Response ◑
2026Safety Alignment Illusion: The Cross-Lingual Safety Gap in LLMs ◑L-004 L-013
2026Safeguard-Conditioned Uplift: Measuring Utility-Risk Frontiers for Dual-Use Biology Assistants ◑L-008 L-004
2026SafeStep: AI-powered Travel Assistance for Elderly People with Frailty or Dementia ◑L-012
2026SafeFlow: Semantic Information-Flow Control for Blocking Malicious Propagation in Multi-Agent Systems ◑L-008 L-012
2026Safe and Scalable Multi-Drone Payload Transport via CBF-based Reinforcement Learning with Zero-Shot Sim-to-Real Transfer ◑L-008 L-012
2026Safe Equilibrium Policy Optimization for Strategic Agent Policies ◑
2026SW-$A^2$-Bench: Benchmarking Autonomous Software Agent Generation for Agentic Web ◑
2026STV Audit Graphs: A Visual Tool to Measure Election Stability ·L-001 L-013
2026STON'R Converges to First-Order Nash~Equilibria of Multiplayer Games ◑
2026SKILL.state: Scalable Long-Horizon Agent Skills ◑L-011
2026SIGMA: Structured Noise-Effect-Aware Grouped Multi-Agent Aggregation ◑L-003 L-006
2026SIGMA: Skill-Incidence Graphs for Compositional Multi-Agent Design ◑
2026SCITUS: A Multi-Jurisdictional Framework for Adapting NIST AI RMF to the Canadian Regulatory Context ◑L-001 L-014
2026SAIGuard: Communication-State Simulation for Proactive Defense of LLM Multi-Agent Systems ◑
2026SABRE: A Multi-Agent Approach for Selecting Out-of-Distribution Detectors Under a Budget ◑L-013 L-015
2026Runtime Action Interference for AI Control of AlphaStar in StarCraft II meta◑L-012
2026Rules Before Oracles: Auditable, User-Configurable Argument Selection for Deliberative Polling ◑L-015
2026Role differentiation as ignition of a collective information engine: Structuration in Agent Populations ·L-003 L-010
2026Robustness over efficiency in climate coalitions: a bistable model and a map of architectures ◑L-006 L-010 L-001
2026Robustness of Stable Matchings When Attributes and Salience Determine Preferences ◑
2026Robust PAC Learning of Concurrent Stochastic Games ·L-001 L-005
2026Robust Information Design with Heterogeneous Beliefs in Bayesian Congestion Games ◑L-004 L-021
2026Robo-Reporters: Evaluating Autonomous AI Agents as Algorithmic Gatekeepers in Computational Journalism ◑L-012 L-013
2026RoPoLL: Robust Panel of LLM Judges ◑L-004 L-008
2026Risks and Controls for Multi-Agent Systems: an analytical framework for deployment of AI agents across organisational boundaries ◑L-005 L-009 L-014
2026Risk-Limiting Audits for Parliamentary Majorities ◑L-007
2026Risk-Aware Information Theory ◑
2026Risk and Anomaly Identification for Distribution Network Optimal Operation Based on Reinforcement Learning and Uncertainty Quantification ·L-008 L-013
2026Rights by Architecture: A Human-Compatible Sociotechnical Layer for Digital Protection Across Regulatory Regimes ·L-003 L-015
2026Reward Modeling for Multi-Agent Orchestration ◑
2026Revisiting the Intra-Team Communication Method to Elicit Level-k Reasoning in Beauty Contests and 11-20 Games ◑L-010
2026Revision-Aware Success Prediction from Multi-Attempt Programming Trajectories meta◑
2026Reveal, Correct, Then Pay: Encrypted Mempools and Perpetual Funding Security ◑L-014 L-002
2026Return of the solo author: The changing division of labor in science in the age of generative A meta◑L-003
2026Rethinking LLM-Judged Helpfulness as a Pedagogy Signal: A Pre-Registered Audit Across Tutor Models meta◑L-004 L-015
2026Rethinking Generative AI Literacy: An Integrative, Developmental, and Dialectical Framework for K-12 Teacher Education meta◑L-003 L-015
2026Rethinking Collaborative Trust for Verifiably Decentralized Blockchain Systems ◑L-001 L-013
2026Rethinking Agent Security as a Networking Problem ◑L-001 L-008 L-012
2026Responsibility in Multi-Agent Sequential Decision-Making: Comparing Human Judgments to Formal Models of Causal Attribution meta◑
2026Resourced Authority A Mechanism-Design Model for Participatory Governance of Deployed AI Agents ◑L-012
2026Resource-Aware Intrusion Detection in Infrastructure Networks: A Game-Theoretic Approach ◑L-009 L-014
2026Resilient Consensus in Agentic AI ◑
2026Residual Supply and the Price of Risk Absorption ◑
2026Reserve Depletion and Security Runway in Proof-of-Stake Systems ◑
2026Research Design Tracking and Assessment for the Social Sciences meta◑
2026Reputation as Community Memory for the Agentic Web ◑L-017
2026Reputation and institutional certification as complementary trust mechanisms in a single online market ◑L-007 L-004
2026Representational Equality in Cross-country Value Simulation: A Systematic Analysis of Large Language Models ◑L-004 L-012
2026Representation in Peer Selection: A Liquid Democracy Perspective ◑L-010 L-015
2026Replicating Belief, Not Bits: Epistemic State Replication for Agentic Systems ◑L-002 L-011
2026Replan, Repair, or Edit? A Unified Empirical Evaluation of Travel Agents for Itinerary Revision under Resource Disruptions ◑L-005 L-012
2026Repeated-Game Security for Restaking-Based Verifiable Inference ◑L-007 L-013
2026Remote ID Spoofing-Aware Trajectory Planning for Small Unmanned Aerial Systems ◑L-008 L-014
2026Religious Mayors, School Appointments, and Teenage Pregnancy ◑L-003 L-013
2026Reinforcement Learning and Rule-Based Peer-to-Peer Pricing in Residential PV-BES Communities ·L-006 L-010
2026Reimagining Open Source and Openness in AI: Co-Creating Responsible Technological Futures ◑
2026Reifying Research Logic: AI-Assisted Workflow Construction and Incremental Refinement for Quantitative Syntax meta◑L-003
2026Regulatory Approval Is Not Enough: Gaps in Trustworthy AI Reporting in FDA-Cleared Medical Devices ◑L-001 L-013
2026Regret, equilibrium, and learning in games: A guided tour meta◑
2026Register Bias in Complexity-Based Large Language Model Routing ◑L-004
2026Regenerative Bonds: Formal Debt, Mutual-Aid, and Local Settlement Capacity ◑
2026Reference-Distribution Dependence in LLM-Based Synthetic Persona Data: Diagnosis and Post Hoc Adjustment of Demographic Distributions ◑L-004 L-008
2026Reducing Prescription Errors Through Information Intervention: A Field Experiment in Healthcare Operations ·L-012 L-016
2026Reducing Catastrophic Risk from AI with Systematic Monitoring and Evaluation of Rogue AI Progression meta·L-007 L-013
2026Reducing Barriers to Academic Support: Evaluating a Course-Specific RAG System for Addressing Help-Seeking Disparities in Higher Education ◑L-016
2026Red Light, Grey Zone: A Multi-Perspective Interactive Narrative for Autonomous Driving Ethics meta◑
2026Recursive Reasoning or Statistical Extrapolation? In-Context Learning in Multi-Agent Interdependent Decision-Making ◑L-010 L-011
2026Recovering Clinical Utility Under Differential Privacy: Empirical Validation of Adaptive Federated Aggregation on Heterogeneous Cardiovascul ◑L-003 L-006
2026Reconfiguring Geovisualization in the Age of Generative AI: Insights from Domain Experts meta◑L-015
2026Reconcile Once, Write Anytime: A Trust-Tiered Librarian and a Multi-Agent Writer for Drift-Free, Point-in-Time Research ◑L-004 L-013
2026Reclaiming Epistemic Agency: A Critical Framework for Human-Generative AI Co-Agency in Education meta◑L-004
2026ReasFlow: Assisting Reasoning-Centric Scientific Discovery in Applied Mathematics via a Knowledge-Based Multi-Agent System meta◑L-006
2026Reading Copom's Tone: A Weighted LLM Framework for Hawkish-Dovish Sentiment, Forward Guidance, and Uncertainty ◑L-004
2026Reading Between The Lines: Modeling and Evaluating Behavioral Realism in Legal Simulation ◑L-011 L-013
2026Reaching Fairness by Reallocating Goods ◑L-004 L-006
2026Rationalizing collective revealed preferences with an application in fair resource allocation ◑
2026Rational Dolev--Yao Attackers: Decidable Incentive-Aware Verification of Security Protocols in Strategic Logic ◑L-004 L-008
2026Rare Diseases, Common Dilemmas: LLMs Prioritize Equal Resource Distribution over Patient Benefit in Decision-Making ◑L-004 L-012
2026Randomness in large language models: What researchers need to know (and report) meta◑L-004
2026Randomized routing strategies of fleets of CAVs may prove market efficient ◑L-009
2026Randomized Strategyproof Facility Location: Two Facilities and Beyond ◑L-004 L-010
2026Randomized Online Fair Division: High-Probability and Expected Realized Fairness ◑L-010
2026Raising Rivals' Costs on Hybrid Platforms: The Complementarity of Fees and Self-Preferencing ◑L-001 L-014
2026RELIC: Revealed Principles for Learning Interpretable Composable Skills in Multi-Agent Planning ◑L-001 L-005
2026RELIANCE: Curating and Evaluating Reproductive Health Information on Social Media ◑
2026RCWT: Measuring Task-Budget Displacement from Coordination Content in LLM Calls ◑L-006 L-012
2026Quotient Semivalues for False-Name-Resistant Data Attribution ◑L-004 L-014
2026Quota and population monotonicity across house sizes are incompatible for apportionment to four states ◑L-006 L-003 L-004 L-005 L-019
2026Queue & AI: When Faster Tasks Slow Down the Workflow ◑L-004
2026Quantum Futures Interactive: A Live Demonstration of Post-Quantum Blockchain Security, Infrastructure Tradeoffs, and Sustainable Distributed ◑
2026Quantifying the Relationship Between Clinical Safety and Environmental Impact in Therapeutic LLMs ◑L-004 L-012
2026Qualifying and Quantifying Risk under the EU AI Act meta◑L-004 L-014
2026QoEReasoner: An Agentic Reasoning Framework for Automated and Explainable QoE Diagnosis in RANs ◑
2026Pushing the Limits: A Framework to Reform Institutional Ethics Review of Environmentally-Impactful Computing Research ◑
2026Pure-Strategy Equilibrium in the Generalized First-Price Auction ◑L-004 L-008
2026Publication bias and p-hacking in the effect of COVID-19 on learning meta◑L-004 L-013
2026Psychological features of dispute content and public acceptance of AI in legal adjudication: evidence for systematic variation beyond indivi ◑L-004
2026Proxifield: Decentralized Multi-Agent Communication through Semantic Proximity ◑L-003 L-010 L-017
2026ProvenanceGuard: Source-Aware Factuality Verification for MCP-Based LLM Agents ◑
2026Prove2Me: An Open Collaborative Platform for Scaling Math Formalization meta◑L-003
2026Provably Optimal Learning Algorithms for Assistance Games ◑
2026Provably Efficient Regularized Online RLHF with Generalized Bilinear Preferences ◑
2026Provably Convergent Actor-Critic for MARL through Risk-aversion ◑
2026Provably Auditable and Safe LLM Agents from Human-Authored Ontologies ◑
2026Propose to Learn, Learn to Propose: Evaluability-Aware Assistance under Bounded Rationality ·L-012 L-019
2026Proportionality from Sampled Approvals ◑
2026PropUQ-MAS: Propagation-Aware Uncertainty Quantification for LLM Multi-Agent Systems ◑L-011 L-006
2026Prompt Sensitivity of Generative Agents: Evidence from an Epidemic Model ◑L-008 L-011
2026Prompt Governance? On Governing Technologies Governed by Natural Language ◑
2026Progressive Crystallization: Turning Agent Exploration into Deterministic, Lower-Cost Workflows in Production ◑L-001 L-003
2026ProgRouter: Online Progress-Guided Orchestration for Multi-Agent LLM Workflows under Quality-Cost Tradeoffs ◑L-006 L-008
2026ProfiLLM: Utility-Aligned Agentic User Profiling for Industrial Ride-Hailing Dispatch ◑
2026Product Gap Mechanisms for Multi-Facility Location ◑L-004 L-008
2026Proactive Computing ◑L-012 L-008
2026Private Learning in Bilateral Trade ◑
2026Private Again: AI Agents Restore Anonymity---Foreclosing Discrimination and Its Proof ◑L-004
2026Privacy-Preserving Topology-Guided Safety for LLM-Based Multi-Agent Systems via Federated Graph Learning ·L-012 L-017
2026Privacy Washing: Detecting Internal Contradictions in Privacy Policies ·L-003 L-004
2026Privacy Attacks on Stable Marriage ◑L-002
2026Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts ◑
2026Price Responses of Rwandan Tungsten Exports under Conflict Minerals Regulation ◑L-003 L-014
2026Price Elasticity of Gas Demand on L1 and L2: Evidence from Ethereum and Arbitrum ◑
2026Preying on Leveraged ETFs ◑L-008 L-009 L-004 L-001 L-002
2026Preregistration for Experiments with AI Agents ◑
2026Preference Reasoning under Indeterminacy in Large Language Models ◑L-004 L-008 L-012
2026Predictors and Orchestrators: Parsimonious Machine Learning within an Agentic AI Harness for Multi-Horizon Karst Aquifer Forecasting ◑L-012
2026Predicting the scale limits of social mechanisms in agent societies ◑L-010 L-003
2026Predicting Student Attrition in Competitive Programming: A Large-Scale Study Integrating Survey Insights and Global Behavioral Logs meta◑
2026Predicting Custom-Feed Returns for New Bluesky Posts: A Prospective Study ◑L-004 L-012
2026Praxist: From Experimental Artifacts to Solution Lineages ◑L-001 L-005
2026Pramana: A Composable, Domain-Specific Backend for Empirical Networking Research ◑L-001 L-003
2026Practical Judgment, Virtue, and Intuition in the Use of Opaque AI-Enabled Systems meta◑
2026Power in Liquid Democracy: A Network Centrality Approach ◑L-010 L-015
2026Post-Training at the Edge of Detectability: A Game-Theoretic Approach to Fine-Tuning ◑L-004 L-008
2026Positive and Negative Determinant Strategies in Repeated Games with Behavior-Value Inconsistency ◑L-009
2026Positioning Generative Artificial Intelligence in STEM Assessment: When to Require, Scaffold, or Restrict Its Use ◑L-003 L-014
2026Position: We Need Large Language Models Optimized For Our Well-Being meta◑L-004 L-012
2026Position: It is Time to Virtualize Foundation Models with a Self-evolving Operating System Layer ◑L-001 L-017
2026Position: AI Leaderboards Are Underserving the Global South: A Case Study from India meta◑L-004 L-015
2026Poor Man's Agentic Modeling: Simulating Large LLM-Agent Societies on a Laptop meta◑L-006
2026Political Shocks and Price Discovery in Prediction Markets: Evidence from the 2024 U.S. Presidential Election ◑L-008
2026Policy Targeting with Binary Classification Trees: an Application to Rural Hospital Closures meta◑L-004
2026Policy Gradient Steering: Interventions from Behavioral Objectives ◑L-008 L-012 L-016
2026Policy Convergence and Divergence Across National and Within Regional AI Strategies: A Policy Design Element Analysis ◑L-001 L-003
2026Poisoning Agentic Alpha: Adversarial Vulnerabilities Across Roles and Architectures in Multi-Agent Trading Systems ◑L-008 L-009 L-014
2026Platform Choice, Trust, and Privacy in the Consumer AI Assistant Market ◑L-010
2026Plateau That Never Comes: When Efficiency Claims in Datacenters and AI Become Greenwashing ◑
2026Planning Against Learning in Rank-1 Games ◑L-008 L-012
2026Pingquanqi (Equalizer): A Cross-Domain Sociotechnical Framework for Human-Agent Interaction Governance ◑L-007
2026PiSAs: Benchmarking Contextual Integrity in Multi-User Agentic Systems ◑L-006 L-012
2026Physics of anticipatory active matter, with application to crowd dynamics ●
2026Phi-Actor-Critic: Steering General-Sum Games to Pareto-Efficient Correlated Equilibria ◑
2026Pezego-HITL: A policy-grounded large language model architecture for agricultural extension in Ghana ◑L-012 L-008
2026Pessimal Elections for Approximately Dominating Sets ◑L-004
2026PersonalPlan: Planning Multi-Agent Systems for Personalized Programming Learning ◑
2026PersonaMem-v3: Toward Omni-Platform Personal Intelligence for Holistic User Understanding, Recommendation, and Agentic Tasks ◑L-012
2026Persona Migration and Expectation Recalibration in Generative AI Adoption: A Longitudinal Study at a State Department of Transportation ◑L-010 L-003
2026Persistent AI Agents in Academic Research: A Single-Investigator Implementation Case Study ◑L-003
2026Perpetual Fully-Online Approximate Fairness ◑L-006
2026Perils of Parallelism: Transaction Fee Mechanisms under Execution Uncertainty ●
2026Perception-Aware Communication Middleware for Distributed Visual Perception in UAV Swarms ◑L-006
2026Per-Shipment Multi-Agent Reinforcement Learning for Intermodal Freight Routing Under Hurricane Disruption ◑L-006 L-010
2026People escalate against a competitor labelled human and hold back against one labelled an optimising machine ◑L-008
2026Peer-Preservation in Frontier Models ◑L-001
2026Peer-Predictive Self-Training for Language Model Reasoning ◑L-011
2026Peer Oversight in Collective Decision Making ◑L-003 L-005
2026PatchOptic for Shared-State LLM Workflows with Projected Views and Verified Structured Updates ◑L-012 L-006
2026Partner Capability Estimation for Task-Agnostic Adaptation in Ad-Hoc Teamwork ◑L-010
2026Participation, selection and indicative bidding in auctions with costly entry ◑L-008 L-010
2026Participant-Mediated Collection of Sensitive Digital Trace Data: The CANDOR Research Infrastructure meta◑
2026ParlayMarket: Automated Market Making for Parlay-style Joint Contracts ◑L-004 L-008
2026Pareto-Improving Pricing: Why 3 Is Better Than 2 ◑L-004 L-019
2026Paid Voices vs. Public Feeds: Interpretable Cross-Platform Theme-Based Analysis of Climate Discourse ◑L-015
2026PRISM: An Agentic Multi-Model Architecture for Proactive Safety in Autonomous Transportation Systems ·L-007 L-021
2026PLURAL: A Global Dataset for Value Alignment ◑L-003
2026PLATO: Pointer Learner for Agent and Task Openness ◑L-010 L-006
2026PDoS: A Profitable Denial-of-Service Attack against Proof-of-Work Blockchain Liveness ·L-001 L-004 L-009
2026PAC Learning in Turn-Based Stochastic Games with Reachability Objectives: A Decentralized Private Approach via Expected Conditional Distance ◑L-005
2026Otter: A Provably MEV-Resilient Automated Market Maker via Surplus Redistribution ·L-002 L-008
2026Orphan risks at the frontier of artificial intelligence: What diverging safety and compliance frameworks reveal about how AI companies choos ◑L-004 L-014
2026Organizational and Socio-Technical Challenges in UAV Incidents: Evidence from a Practitioner Focus Group ◑L-013 L-015
2026Organizational Technology Ladders: Remote Work and Generative AI Adoption ◑L-001 L-006
2026Organizational Memory for Agentic Business Process Execution ◑L-003 L-006
2026Organizational Control Layer: Governance Infrastructure at the Execution Boundary of LLM Agent Systems ◑
2026Order Auctions with Private Position Preferences ◑L-004 L-008
2026Orchestrating the Twin Transition in Multinational Corporations: Technology Roadmapping for Green and Digital Global Business Services ◑
2026Orchestrating Power Grid Studies with Multi-Agent AI and MCP Servers meta◑L-006
2026Optimistic Verifiable Claims: A Blockchain Protocol for Conditionally Confidential Bidding in Decentralized Manufacturing ◑L-002 L-003
2026Optimism as a Vulnerability: Deceptive Stackelberg Control of UCB Bandit Followers ◑L-008 L-004
2026Optimising for Flourishing: Flourishing Metrics and Return on Flourishing as Success Criteria for Artificial Intelligence and Post-AGI Econo ◑L-004
2026Optimally Selecting Representative Agents from a Metric Space ◑L-003 L-010
2026Optimal Rates for Feasible Payoff Set Estimation in Games ◑L-002
2026Optimal Prior-Free Mechanisms for Consumer Surplus ◑L-004 L-006
2026Optimal Inflation Rate: A Meta-Analysis meta◑L-004
2026Opinion-Guided Layered Strategies for Decentralized Coordination ◑L-010 L-006
2026Operational Reframing and Approval-Framed Delegation in Multi-Agent LLM Safety ◑L-012 L-008
2026Operational Hallucination and Safety Drift in AI Agents ◑L-011 L-013
2026OpenBlock: Constructive and Verified Content Generation for Adaptive Tile-Matching Games ◑L-004
2026OpenAgenet/OAN: Technical Architecture for Trust-Governed Agent Identity and Discovery ◑
2026OpenAgenet/OAN: Open Infrastructure for Trusted Agent Interconnection ●L-005 L-010
2026Open-source LLMs administer maximum electric shocks in a Milgram-like obedience experiment ◑
2026Open at the Edge, Captured at the Center: llama.cpp and the Political Economy of Local AI Inference meta◑L-001 L-014
2026Open Weight AI Models Require Proportional Evaluation Approaches ◑
2026Open WebXR versus Commercial Game Engines: A Socio-Technical Position Analysis for an Open, Sustainable, and Interoperable Metaverse ·L-001 L-005
2026Open Veins of Algorithmic Auditing: Why AI Assessment Lags Behind Its Deployment in the Global South ◑L-013 L-015
2026Open Technical Problems in Open-Weight AI Model Risk Management ◑L-001 L-014
2026Open Problems in AI Risk Modeling: Insights from a Workshop on the Technical Foundations of AI Risk Modeling meta·L-004 L-008
2026Open Platform Field Experiments: Expanding the Design Space of Experimental Research on Social Media meta◑
2026Online Learning in Stackelberg Security Games with Adaptive Attacker Sequences and Time-Varying Attack Intensities ◑L-009 L-001
2026Online Fair Division: Pushing the Frontier of Approximate Proportionality ◑L-006
2026Online Allocation using Few Samples ◑L-006 L-008
2026OneDayAgent: Towards a Long-Horizon Harness for Autonomous Agents ◑L-011 L-012
2026One Vote, Several Parliaments: An Empirical Analysis of the Algorithmic Ambiguity of the Italian Electoral Law on the 2022 General Election ◑L-014
2026One Run Is Not an Idea: The Implementation Lottery in Automated Research meta◑L-002
2026One Axis, No Brake: Self-Knowledge Limits the Filtering of Harmful Peer Conformity in LLMs ◑L-004 L-013
2026On the existence of fair zero-determinant strategies in the periodic prisoner's dilemma game ◑L-012
2026On the Reliability of Networks of AI Agents: Density Evolution, Stopping Sets, and Architecture Optimization ●
2026On the Fragility of Worst-Case Nash Equilibria in Atomic Congestion Games ·L-001 L-009
2026On testing the incentive compatibility of single-parameter allocation mechanisms meta◑L-001 L-004
2026On Type Deception in Linear-Quadratic Differential Games ●
2026On Randomized Algorithms in Online Strategic Classification ◑
2026On Exercising Governance Power in Decentralized Autonomous Organizations ◑L-001 L-003
2026On Cutting Cakes and Crossing Curves ◑
2026Offloading Score: Measuring AI Reliance Through Counterfactual Workflows ◑L-004
2026Offline-Verifiable Accountability for Cross-Organization Agent Messaging: A Preserved Evidence-Bundle Approach ◑L-001 L-007
2026Offline Nash Solvers Meet Online Tree Search in Multi-Agent Games on Graphs ◑L-009
2026Offline Multi-Agent Reinforcement Learning with a Physics-Informed World Model for Cooperative Mixed Traffic Control ◑L-008 L-006
2026Obshazard-bench: Benchmarking Multimodal Foundation Models for Real-Time Disaster Intelligence from Raw Earth Observation Streams ◑L-012 L-008
2026Obligation-Producing Actions ◑
2026Nucleolus Computation by Non-Zero-Constrained Optimization ◑
2026Not a Monolith: Lab-Level Divergence in the Cooperative Equilibria of Chinese Frontier LLM Agents ◑L-010
2026Not Birds of a Feather: Personality-Based Partner Selection in LLM Agents ◑L-010
2026Not All That Can Be Automated Should Be Automated: Strategic Minimalism as a Disciplined and Ethically Grounded Approach to AI Adoption meta◑L-001
2026Norms at a Price: Why RL-Based Alignment Can Promise Conditional Compliance at Best ·L-004 L-007
2026Normative boundaries of AI in scientific work: Evidence from PhD researchers meta◑L-003
2026Norm Enforcement for AI Agents: Robustly Shaping Behavior in Multi-Agent Systems ◑L-001 L-008
2026Non-Great-Power Conflict and AI Risk ◑L-009
2026No One to Blame: A Framework of Constitutive AI Unaccountability ◑L-001
2026No One Wins in Nuclear War: A Social Simulation of Military Decision-making meta◑L-013
2026No One Knows the State of the Art in Geospatial Foundation Models meta·L-013
2026No Certificate, No Categorical Speech Act: A Brouwerian Assertibility Constraint for Public Reason ◑
2026NeuroPilot: An Agent-Driven Smart Pipeline for Processing, Quality Control, and Managing Neuroimages ◑L-001 L-005
2026Neuro-Symbolic Agents for Regulated Process Automation: Challenges and Research Agenda ●
2026Neural operator learning for collision-aware trajectory planning of spacecraft swarms ◑L-008 L-005
2026Neural Network-Based Parameter Estimation of a Labour Market Agent-Based Model ◑L-005 L-006
2026Networked Multi-Resource Defense Capabilities in a General Lotto Game ◑L-002 L-009
2026Networked Admissibility-Preserving Control for Directed Safe Coordination ·L-007
2026Network-Induced Strategic Communication in Opinion Dynamics ◑L-008
2026Near-Feasible Stable Matchings: Incentives and Optimality ·L-005 L-010
2026Navigating the skill diversity frontier: How skill complexity explains worker resilience ◑L-003 L-004
2026Nash Core in Multiwinner Election ·L-010
2026Naive Visual Memory is Not Enough: A Failure-Mode Study of GUI Agents ◑
2026NATO and Emerging Technologies: The Alliance's Shifting Approach to Military Innovation ◑L-001 L-003
2026Muscle Memory for Agents: Compile not Merely Retrieve meta◑L-013 L-011
2026Multiwinner Voting with Spatial Preferences under Incomplete Information ◑L-010 L-006
2026Multiperiod Groundwater Markets ◑
2026Multilingual Agent System for Inclusive Wildfire Evacuation Guidance ·L-003 L-012
2026Multilevel Fair Allocation under Additive Preferences ◑L-005 L-006
2026Multiagent Protocols with Aggregated Confidence Signals ◑
2026Multi-agent rendezvous in fluid flows via reinforcement learning ◑
2026Multi-Winner Voting with Argumentative Ballots ◑L-003 L-019
2026Multi-Agent Teams Hold Experts Back ◑
2026Multi-Agent Reinforcement Learning in Markets with Congestion ◑L-004
2026Multi-Agent Planning with Spatio-Temporal and Topological Constraints using STL-GO ◑
2026Multi-Agent LLMs Fail to Explore Each Other ◑L-015
2026Multi-Agent Forensic Reasoning for Generalizable Deepfake Video Detection ◑L-011 L-015
2026Multi-Agent Firewall Architecture for Privacy Protection of Sensitive Data in Interactions with Language Models meta◑
2026Multi-Agent Computer Use ◑
2026Multi-Agent AI Control: Distributed Attacks Hamper Per-Instance Monitors ◑L-009 L-014
2026MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents ◑L-007
2026Move Over, Prisoner's Dilemma: Colonel Blotto has arrived ●L-003
2026Mosaic: Runtime-Efficient Multi-Agent Embodied Planning ◑L-005 L-012
2026More Human or More AI? Visualizing Human-AI Collaboration Disclosures in Journalistic News Production ◑
2026More Capable, Less Cooperative? When LLMs Fail At Zero-Cost Collaboration ●
2026Moral Hazard in Multi-Agent Language Models ◑L-004
2026Moral Entropy: Auditing Bias and Uncertainty in Moral Judgment ◑L-004 L-019
2026Monocultural Biases: Correlated biases in large language models lead to unequal systemic exclusion rates in hiring ◑L-004 L-012 L-016
2026Modelling Opinion Dynamics at Scale with Deep MARL ◑
2026Modeling U.S. Attitudes Toward China via an Event-Steered Multi-Agent Simulator ◑
2026Modeling Misinformation as a Commons Problem ◑L-006
2026Modeling AI Overreliance as a Complex Adaptive System ◑L-004 L-012
2026Model-Based Reinforcement Learning for Heterogeneous Multi-Robot Task Assignment Under Distribution Shifts ◑L-008
2026Model Predictive Supervisory Control for Hierarchical and Distributed UAS Traffic Management ◑L-006 L-009
2026Model Monotonicity in Autobidding Auctions: When Do Better Predictions Lead to Better Outcomes? ◑
2026Mobility, Memory, and Network Structure in Agent-Based Models of Convention Tipping and Convergence ◑L-010
2026MobileMem: Learning from a Year of Mobile Experiences ◑L-011 L-006
2026MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts ◑L-003 L-005
2026Mo' Models, Mo' Problems: How to best select model pools when designing Multi-Agent Systems meta◑L-010
2026MixedComplementarityProblems.jl: A Fast, Batched, Open-Source Interior Point Solver for Mixed Complementarity Problems ◑L-006 L-001
2026Mitigating Fabrication in Multi-Stage LLM Pipelines for Hiring: An Empirical Evaluation of Prompt Guardrails and Human-in-the-Loop Checkpoin ◑L-004
2026Mitigating Emergent Collusion in LLM Pricing Agents ·L-004 L-008
2026Misinformation Propagation in Benign Multi-Agent Systems ●
2026MiroBench: Benchmarking Realism in Agentic Simulation of Real-world Discussions ◑
2026Minimal Oversight: Uncertainty-Aware Governance for Delegated AI Systems ●
2026Minimal Local Simulation Foundations for LLM- and VLM-Driven Agents in 2D and 3D Environments ◑L-011 L-012
2026Minimal Effort to Consensus (MEC) polarization measure ◑
2026Metric Distortion of Social Welfare Functions ◑L-004
2026Methodologies for Improving the Quality of AI Tutoring in K-12 Education meta◑L-004 L-013
2026Method, Mind, and Morality: How People Make Sense of Artificial Intelligence meta◑L-003 L-013
2026MetaInfer: A Knowledge Only LLM Inference Engine Generator SKILL Toolbox meta◑L-001 L-005 L-012
2026MetaForge: A Self-Evolving Multimodal Agent that Retrieves, Adapts, and Forges Tools On Demand ◑
2026Messy Research, Certification and the Monetization of Science meta◑L-004 L-013 L-001
2026Message capacity and claim wording set the transition points of collective truth-finding in language-model networks ◑L-010 L-008
2026Mesh Inference: A Formal Model of Collective Intelligence Without a Center ◑
2026Memory Scarcity, Open Models, and the Restructuring of the AI Industry, 2026-2030 -- A quantitative scenario analysis of inference economics ◑L-001 L-006
2026Memory Is Communication: The Frontier Between Remembering and Signaling ◑L-006 L-008
2026Memetic Capture: A Pluralistic Policy Framework for Governing AI-Driven Cultural Disempowerment ◑
2026MemToC: Benchmarking Memory-Tool Conflict Resolution in Large Language Models ◑L-008
2026MemForest: An Efficient Agent Memory System with Hierarchical Temporal Indexing ◑L-011
2026MemArena: An Ego-Centric Benchmark for On-Device Agentic Personal Memory Assistants at Scale meta◑
2026Mechanism Design for Facility Location Games Under a Prelocated Facility ◑L-003 L-006
2026Mechanism Design for Alignment and Control ·L-004
2026Mechanism Design Is Not Enough: Prosocial Agents for Cooperative AI ◑
2026Measuring the Installed Base: Nordic Health Dataset Catalogues Against HealthDCAT-AP Release 7 meta◑L-006 L-015
2026Measuring Judgment Quality in Natural-Language Explanations: Evidence from Forecasting Tournaments ◑L-004 L-012
2026Measuring Concept Content in Text from LLM Activations: ESG Evidence from Concept Vectors and Linear Probes ◑
2026Measuring Cognitive Engagement in Collaborative Discourse with an Extended ICAP Framework: Comparing Human Annotation, In-Context Learning, meta◑L-003
2026Measuring Biological Capabilities and Risks of AI Agents ◑
2026Measuring AI harms with multidimensional Lorenz Zonoids ◑L-004
2026Mean-Payoff-Parity and Lifting Strategies from MDPs to 2-Player Stochastic Games ◑
2026MeDxAgent: Multi-Agent Consultation for Interactive Medical Diagnosis ◑
2026Maximin Relative Improvement: Fair Learning as a Bargaining Problem ◑
2026Mathematical Modelling of Ethical AI Use in Higher Education: A Coordination Game Framework for Future-Facing Learning ◑L-003
2026Materealistic? How European energy system models exceed raw material reserves ●
2026MasDrift: Benchmarking Authorization Preservation Across Multi-Agent Architectures ◑L-005 L-012
2026Markets, Not Planners: Decentralized Orchestration of LLM Agents with Private Information ◑L-006
2026Market Power and Distributed Solar Integration in Microgrids under Limited Regulation ◑L-001 L-006
2026Market Design for AI: Beyond the Copyright Binary ◑
2026Mapping the causal structure of price formation in Texas's transitioning electricity market ◑
2026Mapping U.S. Federal AI Governance Against Sector Vulnerability meta◑L-001 L-007
2026Mapping General-Purpose AI Governance in Twenty AI Middle-Power Jurisdictions ◑L-001 L-003
2026Manipulation Is Task-Dependent: A Multi-Axis, Multi-Environment Evaluation of Frontier LLMs ◑L-008 L-012
2026Making Local Government Contracts Legible: A Computational Pipeline for Classifying and Mapping Intergovernmental Service Agreements ◑L-001 L-014
2026Making Agent-Mediated Contributions Governable: A Project-Level Governance Manifest for Open-Source AI Collaboration ◑L-001 L-003
2026Making AI-Assisted Claims Independently Challengeable: Publication Authority and a Protocol for Falsifiable Publication Records ◑L-015
2026Make Mechanistic Interpretability Auditable: A Call to Develop Guidelines via Continuous Collaborative Reviewing ◑
2026Maestro Order: A Model-Agnostic Orchestration Harness ◑
2026Macro-Prudential AI Governance: A Two-Layer Early Warning and Response System for Frontier AI meta◑L-001 L-003
2026Machine Learning-Guided Quota Optimization for Multi-Round Two-Sided Matching ◑
2026MaSRead: Content-Addressed Reading of Replicated Latent Stores ◑L-006
2026MUTE: Return-Preserving Communication Unlearning for Efficient Multi-Agent Coordination ◑L-006 L-010
2026MMS Allocation for Chores with Online Agent Arrivals ·L-006
2026MMMMM: A Unified Taxonomy for Investigating the Mechanisms of Multilingual MultiModal Misinformation ◑L-004 L-015
2026MKEvolve: A Modular Multi-Agent Framework for Kernel Code Generation ◑L-008 L-012
2026MITRE-SAGE: A Multi-Agent Cybersecurity Question-Answering model ◑L-004
2026MDGAM-Based Cooperative Task Scheduling for Communication-Constrained Distributed Multi-Agent Systems ◑L-010 L-006
2026MDAF: A Multi-Dimensional Annotation Framework for Automated Foreign Policy Analysis meta◑L-003
2026MATraM: A Multi-Activity Transport and Mobility Agent-Based Model for Activity Modifications ◑
2026MASK: Multi-Agent Semantic K-Scheduling for Risk-Sensitive 6G Robotics ◑
2026MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model Coordination ◑L-008 L-012
2026MAPLE-Guard: Memory-Aware Link Enforcement Against Memory-Link Poisoning in Multi-Agent Systems ◑L-011 L-015
2026MAP-Graph: Provenance-Aware Shared Memory for Multi-Agent Workflows ◑L-015
2026MADRAG: Multi-Agent Debate with Retrieval-Augmented Generation for Training-Free Analytic Essay Scoring ◑
2026MACGen: Toward Functionally Correct and Secure Code Generation via Multi-Agent Collaboration ◑L-008 L-014
2026M2Note: Continual Evolution of Vision Language Models via Mistake Notebook Learning ◑L-013
2026Loopjacking: Hijacking Human-in-the-Loop Approval ◑L-012
2026Loop-Back Authority in LLM Agent Teams: A Paired Experiment on Flat and Hierarchical Coordination ◑L-005 L-012
2026Looking Back and Forward: What Teaching Materials Do Not Remember About Instructional Reasoning meta◑L-003
2026Look Before You Leap: Pre-Action Verification for LLM Agents ·L-002 L-008
2026LongDS-Bench: On the Failure of Long-Horizon Agentic Data Analysis ◑
2026Long-Horizon State Tracking in LLMs: Executing MD5 through a Deep Sequence of Dependent Tool Calls ·L-011
2026Long Live the Librarian! A Persistent Search Sub-Agent for Energy-Efficient Multi-Agent Software Engineering Systems ◑L-001
2026Localizing Emergent Failures in Agentic AI: Recovering Minimal Repair Families via Counterfactual Replay ◑L-011 L-013
2026Living-Harness Is an Interactive-Agent Evolver ◑L-002 L-005
2026LiveSim: Simulating Environment-Shaped Users in Multi-Agent Live-Stream Ecosystems ◑L-010
2026Link: Website for Natural General Intelligence research that mentions Humboldt meta◑
2026Link: Twitter thread on cheap models and decentralized inference architectures. ◑L-008 L-014 L-017
2026Link: Piette et al. study on conserved optimal rhythm in animal acoustic communication ◑
2026Link: P. W. Anderson's 'More is Different' — classic paper on hierarchies of laws and emergence across scales from physics to meta◑L-001 L-005
2026Link: Humboldt research output and findings repository on protocol dynamics. ◑
2026Link: Farcaster reference discussing end-to-end proofs from transaction inclusion thro ◑
2026Link: Discord discussion on human limits of context building as a constraint on AI adaptation ◑
2026Link: Article on the AI productivity paradox and its economic implications. ◑
2026Linguistic Firewall: Geometry as Defense in Multi-Agent Systems Routing ◑L-008 L-012
2026Limitations of Best-of-Both-Worlds Solutions in Approval-Based Multiwinner Elections ◑L-003 L-006
2026License Compliance in Open Source Cybersecurity Projects ◑L-001 L-003
2026Lexicographic Social Ranking on Monotonic Coalitional Rankings ◑
2026Leveraging Matchings in Constrained Fair Division with a Conflict Graph ◑
2026Leveraging Machine-Learned Advice in Strategic Interactions with No-Regret Learners ◑
2026LegalHalluLens: Typed Hallucination Auditing and Calibrated Multi-Agent Debate for Trustworthy Legal AI ◑
2026Legal aid eligibility and court outcomes: a design-based double-machine-learning approach meta◑L-004
2026Legal Reasoning Is Not Lawyering: Rethinking Legal Benchmarks for Pro Se Access to Justice ◑
2026Learning-Augmented Strategyproof Facility Location in $\mathbb{R}^d$ with $\ell_p$ Distances ·L-004
2026Learning to cooperate with emergent reputation via multi-agent reinforcement learning ◑
2026Learning to Strategically Acquire Resources in Competition ◑
2026Learning to Contest: Decentralized Robust Fairness in Cooperative MARL via Cross-Attention ◑
2026Learning to Bid in FCR Markets: A Best-of-Both-Worlds Approach ◑
2026Learning is Revelation in Disguise: Optimal Regret and Equivalence Results for Dynamic Pricing ◑
2026Learning generalized Nash equilibria from pairwise preferences ◑L-019 L-004
2026Learning from an Unknown DGP: Experimental Evidence on Belief Updating with AI Recommendations ◑L-013
2026Learning Whom to Trust : Decision-Generated Credibility in Social Learning ◑L-009 L-013
2026Learning Sexism Detection Using Multi-Agent Perspectivist Preference Optimization ◑L-004 L-015
2026Learning Proportional Committees from Violation Feedback ◑L-003 L-010
2026Learning Optimal Dynamic Matching via Graph Neural Networks ◑L-008 L-010
2026Learning Multi-Agent Communication Protocol: Study on Information Entropy Efficiency in MARL ◑
2026Learning Long-Term Educational Investment Policies under Residential Sorting ◑L-006 L-012
2026Learning Latency-Aware Orchestration for Multi-Agent Systems ◑L-006 L-003
2026Learning Implicit Causal World Models from Multi-Agent Demonstrations ◑L-011
2026Learning How Much to Collaborate: Difficulty-Aware Topology Selection for Multi-Agent Code Generation ◑L-010
2026Learning Fair Demand Models ◑
2026Learning Fair Allocation of Indivisible Items from Limited Feedback ◑L-004 L-012
2026Learning Dynamics of Strategic Publishers in Generative AI Ecosystems ◑L-004 L-008
2026Learning Coordinated Preference for Multi-Objective Multi-Agent Reinforcement Learning ◑
2026LearnOpt: Recovering the Latent Cognitive Structure of Standardized Examinations via Knowledge Graphs and Constrained Optimization ◑L-001
2026LearnActCoder: Role-Aware Error Memory for Adaptive Clinical Coding Agents ◑L-016
2026LearnAI: Just-in-Time AI Co-Creation Across Disciplines at a University meta◑L-003 L-016
2026Learn to Match: Two-Sided Matching with Temporally Extended Feedback ◑
2026Leadership as Coordination Control: Behavioral Signatures and the Recovery-Advantage Boundary in Multi-Agent LLM Teams ◑
2026Latent Communication Between Language Model Agents: Channels, Alignment, and the Limits of Text ◑L-011
2026Large-Market Discipline in Combinatorial Double Auctions: No Assembly, Bundle Selection, and Complementarities ◑L-006 L-014
2026Large language models can effectively convince people to believe conspiracies ◑L-004 L-008
2026Large Language Models as Supervised Extraction Assistants: Lowering the Barrier to Documentation Standard Adoption in Agent-Based Modelling ◑
2026Large Language Models Polarize Ideologically but Moderate Affectively in Online Political Discourse ◑L-012 L-003
2026Language-model groups overstate consensus when replaying human deliberation on a reasoning task ◑L-010
2026Language-Specific Gaps in AI Safety Training Datasets ◑L-004 L-013
2026Language Models Embody and Amplify Human Cognitive Distortions: What Is to Be Done? ◑L-004
2026LangBP: Language-Guided Reasoning and Acting for Joint Bidding and Pricing ◑L-004 L-008
2026LLMs in the Real World: Evaluating "AI" in Emergency Contexts meta◑L-007
2026LLMs as Teaching Assistants for Mathematics Exam Grading: Reliability, and Practical Usability meta◑L-004
2026LLMs as Oracles: Reliance on LLMs for Subjective Personal Questions ◑L-012
2026LLMs Are Not Good Strategists, Yet Memory-Enhanced Agency Boosts Reasoning ◑L-011
2026LLMZero: Discovering Adaptive Training Strategies for RL Post-Training via LLM Agents ◑
2026LLM-powered reasoning in agent-based modeling ◑L-012
2026LLM-as-an-Investigator: Evidence-First Reasoning for Robust Interactive Problem Diagnosis ◑
2026LLM-OSDA: An Optimal-Stopping Dynamic Auction for Native Advertising in Multi-Turn LLM Conversations ◑L-008 L-012
2026LLM-Mediated Demand Response Coordination in Smart Microgrids ◑
2026LLM-Guided Reinforcement Learning for Adaptive NPC Behavior in Multi-Agent Combat Games ·L-011 L-016
2026LLM-Driven Autonomous Vehicles Inherit Human Driver Biases in Pedestrian Yielding: Results and Implications From A New Benchmark ·L-004 L-012
2026LLM-Assisted Reranking to Operationalize Nuanced Objectives in Recommender Systems ◑
2026LLM Semantic Signaling Game and Mechanism Design: Systematic Blindness, Awareness Shaping, and Mindset Dynamics ◑L-004 L-008
2026LLM Judges as Raters: A Pre-Registered Audit of Severity, Halo, Reliability, and Version Instability in LLM Essay Scoring on Public Corpora meta·L-004 L-013
2026LLM Detection as an Intervention: Downstream Impact under Strategic User Behavior ◑L-008 L-012
2026LLM Consumer Behavior Theory: Foundations of a Novel Research Field ◑
2026LLM Agents as Static Level-k Players in Behavioural Games ◑L-010 L-017
2026LLM Agents Perform Controlled Experiments Using Simulation Models meta◑L-013
2026KumbhDoot: A Scale-Ready, LLM-Bounded Architecture for Mass-Gathering Public-Service Assistants ◑L-003 L-006
2026Knowledge-Centric Self-Improvement meta◑L-005
2026Knowing You Is Everything: LLM Agents Achieve Near-Perfect Profile-Consistent Reaction Prediction in Social Media Simulation ◑L-010
2026Kiko: Programming Agents to Enact Interaction Protocols ◑L-003 L-005
2026KernelArc: A Multi-Agent Framework for GPU Kernel Optimization ◑L-006
2026Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services ◑L-001 L-008
2026Joint Optimization of Human Headcount and Stochastic AI Resource Capacity ◑L-008 L-012
2026IyawoBench v2.0: Extended Diagnostic Evaluation of Large Language Model Clinical Triage in Nigerian Primary Care ◑L-004 L-007
2026It's Safer to Give Personhood to Bears than to Artificial Intelligence ◑
2026It is not enough to give your moderation rules to ChatGPT: Policy-as-Prompt Moderation and Its Potential Impacts on Community Governance ◑L-003 L-015
2026It Takes Three to Converse: Empirical Observations on How the Developer, the Convener and the Participant Shaped 119 Polis Conversations ◑L-003 L-006
2026It Takes So Little to Change So Much: Investigating the Robustness of a Danish Voting Advice Algorithm ◑L-004 L-013
2026It Doesn't Take a Thief: Optical-Scan Voting Systems Fail Even Without Adversaries ◑L-001 L-007
2026Is Telehealth Better Used to Treat Patients or Help Other Physicians Treat Patients? An Agent-Based Modeling Study of Healthcare Provision ◑
2026Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning ◑L-005 L-012
2026Investigating Adversarial Robustness of Heterogeneous Cooperative Perception ◑L-008
2026Intervention problems in the Linear Threshold Model: A general formulation and new results ◑L-003 L-010 L-012
2026Interrupting the Chain: Human Perception of AI-Generated Disinformation Through a Kill Chain Lens ◑L-004 L-008
2026Internet of Agentic Things: Networked AI Agents for Closed-Loop IoT Orchestration ◑L-006
2026International Agreements to Limit Frontier AI: Objectives and Exit meta◑L-001 L-007
2026Internalising the Identity Primitive: Cryptographic Individuality for an Autonomous Agent on a Public Blockchain ◑L-001 L-007
2026Intermittent Strategic Cooperation of Two Selfish Agents on Graphs ◑
2026Interactive Alignment ◑L-010 L-012
2026InterSAGE: The Secure and Verifiable Interoperability Protocol for An Internet of Agents ◑L-001 L-002
2026Instruction Bleed: Cross-Module Interference in Prompt-Composed Agentic Systems ◑L-011 L-012
2026Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety ◑L-012 L-014
2026Inside Crypter-as-a-Service: An Ecosystem Analysis of the exploit.in Underground Forum Research Talks ◑
2026Inside Baseball: The Automated Ball-Strike System as an Object Lesson in Technological Rule Enforcement ◑L-004 L-008
2026Innovating with Generative AI: A Human Bottleneck Framework meta◑
2026Innocuous-Seeming Data, Latent Ideology: Ideological Generalisation in Finetuned LLMs ◑L-004 L-016
2026Initial Evaluation of Potential Bias in Coverage of Humans in Wikidata ◑L-004 L-013
2026Informing AI Policy Assessment using Large-Scale Simulation of Interventions meta◑L-003 L-004
2026Informational Help-Seeking on Reddit Did Not Decline After ChatGPT meta·L-003
2026Information Limits and Attractor Dynamics in Economies of Frontier LLM Agents: A Pre-Registered Test ◑L-009 L-010
2026Information Discernment in Large Language Models ◑L-004 L-008
2026Information Aggregation with AI Agents ◑L-008 L-012
2026Informal and Privatized Transit: Incentives, Efficiency and Coordination ◑
2026Inferred Generative-Process Diversity Predicts Correlated Failure Across Language Models ·L-002 L-013
2026Individual Fairness in Budget Aggregation ◑L-006 L-004
2026Independent Reinforcement Learning in Discounted Markov Games ·L-009
2026Independent Learning of Nash Equilibria in Partially Observable Markov Potential Games with Decoupled Dynamics ·L-006 L-010
2026Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems ◑
2026Incentives Of EdTech: A Systematic Review Of EduNLP Research ◑
2026Incentive Design without Hypergradients: A Social-Gradient Method ◑L-004 L-008
2026Improving Hospital Process Management through Process Mining: A Case Study on COVID-19 Clinical Pathways ◑
2026Improving Access to Essential Medicines via Decision-Aware Machine Learning ◑L-004 L-008
2026Improved Last-iterate Convergence Properties for the FLBR-MWU Dynamics ◑L-008 L-004
2026Improved Hardness Results for Nash Social Welfare, Budgeted Allocation and GAP via the Unique Games Conjecture ◑L-004
2026Improved Amenability Bounds for Local Coordination Games ◑
2026Imprecise Belief Fusion Improves Multi-agent Social Learning ◑L-010
2026Import dependence and per capita production are main determinants of economies' food supply robustness under production shocks ◑L-006
2026Implementing Computational Law in Wolfram Language for the Governance of Artificial Intelligence ◑L-014 L-008
2026Identity Is More Than Recall: A Benchmark for Persistent Identity in Deployed AI Agents ◑L-015
2026Identifying and Understanding Human Values in Text: A Tailorable LLM-based Architecture ◑L-004
2026Identifying Implicit Bias in LLM-based Chat AI Toward People with Intellectual Disabilities ◑L-004 L-013
2026Idea: Workers oppose AI adoption or engage in work-to-rule behavior producing useless output to demonstrate AI's lack of value, framing ◑
2026Idea: When agents receive different subsets of a protocol transcript, the protocol becomes multiple partial objects rather than a single uni ·L-003 L-001
2026Idea: Verifiable protocols for demonstrating actual resource reading could include: citation of specific passages, answering questions only ◑
2026Idea: Variance in interpretations across implementers decays as a function of installed base size; early protocol implementations show high ◑L-001 L-006
2026Idea: Two-level verification structure: manager-driven updates to codebase paired with agent-determined ingestability ◑
2026Idea: Two distinct epistemic levels should be tracked: Hook 1 monitors whether the sys ◑L-001
2026Idea: Trust solutions operate at multiple organizational scopes (within org, across mu ◑
2026Idea: Treating non-deterministic knowledge outputs as a reliability/quality problem (e.g., picking a better model) misses the underlying coo ◑L-003 L-006
2026Idea: The possible futures represented by a protocol are only those it was designed to ◑
2026Idea: The interior structure of the non-mathematizable domain is not fully residual and contains positive structure worth theorizing, rather ◑L-003 L-007
2026Idea: The interesting parts of protocol behavior may resist full mathematization because formalism captures structure but loses the informal ◑L-001 L-003
2026Idea: The general temporal phenomenon of protocols is that collective opinions about the protocol approach zero over time. ◑L-001 L-007
2026Idea: The explore/exploit mathematical framing is architecture-agnostic and operates on stationary distributions, suggesting the real explan meta◑
2026Idea: The distinction between mathematizable and non-mathematizable aspects of protocols requires prioritization logic: determine which comp meta◑L-001 L-003
2026Idea: The boundary of the mathematizable scope is itself a mathematical object, and the complement class (non-mathematizable) can be precise meta◑L-001
2026Idea: The boundary between mathematizable and non-mathematizable domains is itself a mathematical object with determinate scope. meta·L-001 L-003
2026Idea: The boundary between mathematizable and non-mathematizable domains is itself a mathematical object with determinate scope, making the meta·L-003 L-006
2026Idea: The 2.7–2.8 Hz rhythm in communication may reflect a receiver-side processing constraint rather than sender-side acoustic limitation ◑
2026Idea: Systems represent possible futures implicitly through their error-correction mechanisms ◑
2026Idea: Systems represent possible futures implicitly through the error-correction mechanisms they build in ◑
2026Idea: Systems represent anticipated possible futures implicitly through the error-correction mechanisms they construct ◑
2026Idea: Stability and innovation-suppression can emerge through decentralized mechanisms ◑
2026Idea: Silent retrieval failures create an attestation gap between when ingestion occurs and when it can be verified ◑
2026Idea: Silent retrieval failures can create false confidence in resource access ◑
2026Idea: Silent retrieval failure is a meaningful failure mode distinct from imprecision ◑
2026Idea: Silent failure in retrieval mechanisms can produce outputs that appear correct but are functionally dishonest ◑
2026Idea: Second law of thermodynamics may provide mathematical framework for understanding what converges to zero in protocol systems. meta◑L-006 L-001
2026Idea: Pure protocol theory seeks context-independent invariants, but observed phenomena (formalization ratchets, trust accumulation, coordin meta·L-001 L-003 L-007
2026Idea: Protocols represent possible futures implicitly through their error-correction mechanisms ◑
2026Idea: Protocols represent only a subset of all possible futures—those they were designed to guard against ◑
2026Idea: Protocols may have schema-level 'anticipation' and 'distance' methods as structural components ◑
2026Idea: Protocols can be understood as invariants across behaviors rather than as instructions or rules, which reframes 'good/bad' e ◑L-003 L-013
2026Idea: Protocols can be modeled with two separable methods: anticipate(futures) and distance(state, futures) ◑L-001
2026Idea: Protocols as invariants across behavioral sets, analogous to intelligence as variation across behavioral sets; evaluation adjectives l ◑L-001 L-013
2026Idea: Protocolization functions as a legibility mechanism that makes hidden coordination friction and maintenance burdens explicit within di ·L-001 L-003
2026Idea: Protocol-learning differs from language-learning in that protocols refer to invariants across behaviors rather than symbol systems, ma ◑L-001 L-005
2026Idea: Protocol theory should be formalized using mathematical language to enable rigorous cost estimation across protocol layer transitions. meta◑L-006
2026Idea: Protocol systems may have directionality analogous to thermodynamic irreversibility, where interpretive degrees of freedom collapse as ◑L-001 L-006
2026Idea: Protocol opinion convergence should be measured as variance in interpretations across implementers, which decays as a function of inst ◑L-001 L-006
2026Idea: Protocol invariants are potentially plural rather than singular, challenging assumptions that protocols converge to a single stable co ◑L-001 L-010
2026Idea: Protocol gaps reveal themselves when failures occur in unanticipated ways; gap danger correlates with consequence of the unrepresented ◑
2026Idea: Platform-hosted participants accept N-multiple-choice connections due to bandwidth constraints; protocol-based systems distribute this ◑L-017
2026Idea: Organizations using LLMs consistently engage in forward-product-design, optimizing for next-generation model capabilities and lower to ◑
2026Idea: Organizations lack formal frameworks for organization-wide AI adoption and struggle to measure AI impact through ROI/productivity metr ◑L-001
2026Idea: Organizations face a coordination problem when the same query to an AI system produces different answers based on model version, time, ·L-006
2026Idea: Optionality should be treated as a structural property of configuration space rather than an aggregate sum over individual agents, esp meta·L-006
2026Idea: Optionality should be treated as a structural property of configuration space itself rather than aggregated from individual agents, pa ·L-006
2026Idea: Multiple-choice aggregation (N options) is fast but inconsistent; yes/no binary aggregation is slow but more consistent; under resourc ◑L-006
2026Idea: Multi-group protocol systems require treating optionality as a distribution across group-local configuration spaces rather than a sing ◑L-006
2026Idea: Most organizations lack formal frameworks for organization-wide AI adoption and struggle to measure AI impact through ROI or productiv ◑
2026Idea: Model behavior and output consistency varies significantly based on model version, time of day, prompt formulation, and effort level, ◑L-006
2026Idea: Mode-switching under scarcity (exemplified by giant isopod mitochondrial behavior) represents architectural reframing of energy tradeo ◑L-005 L-006
2026Idea: Making an aesthetic principle explicit enough to specify a system's behavior typ ◑
2026Idea: Making aesthetic principles explicit enough to specify reveals they were vaguer ◑
2026Idea: Inverted 2nd law analog: while entropy increases globally, protocol optionality (legitimate behavioral variation) decreases globally b ◑L-006 L-001
2026Idea: Interpretive tolerance in protocols should preserve behavioral equivalence under relevant observations, analogous to how GD&T boun ·L-006
2026Idea: In new nature systems, the explorer and constructor are the same agent, fundamentally changing what 'discovery' means—you ca meta·L-011
2026Idea: Human limits in context building may constrain how AI systems can adapt to human reasoning patterns ◑
2026Idea: Human institutional and social structures may partially circumvent innate biological limits on context-building capacity ◑
2026Idea: Human context-building capacity may represent a fundamental limit analogous to the 2.7 Hz processing constraint ◑
2026Idea: Human context-building capacity may not be a fixed biological ceiling but rather something that institutional and social scaffolding p ◑
2026Idea: Human context-building capacity may be constrained by a biological ceiling (the 2.7 Hz processing constraint), but this ceiling may be ◑
2026Idea: Gap discovery occurs when a protocol fails in an unanticipated way — a failure mode not in its error-correction set ◑
2026Idea: Full end-to-end proof chains (transaction inclusion → execution → economic finality) ◑
2026Idea: Exposing only the delta of ingested corpus could provide safe context about what has been newly incorporated into an agent's work ◑
2026Idea: Even with agentic AI reducing knowledge work costs to zero in construction, 85% of project costs remain in physical labor, limiting re ◑L-002
2026Idea: Error-correction mechanisms in protocols reveal which possible futures they anticipate ◑
2026Idea: End-to-end proof model for ingestion verification that traces resource absorption ◑
2026Idea: Discovery of latent organizational context and protocols becomes visible when agents operate as first-class citizens ◑
2026Idea: Delta hook mechanism to bound attestation problem by surfacing only changed code ◑
2026Idea: Context-building limits may be institutional circumventions of biological constraints ◑
2026Idea: Contested opinion converges through capitulation or layering rather than true consensus; dissenters either adopt the protocol or build ◑L-001
2026Idea: Anthropic profitability headline obscures underlying business dynamics; surface metrics may misrepresent protocol/system health. ◑L-004
2026Idea: An AI system lacks verified self-knowledge about its own mechanisms and cannot reliably detect when its internal descriptions of its p ◑
2026Idea: An AI system cannot reliably verify its own internal states or detect errors in self-description from introspection alone; external ve ◑L-001
2026Idea: An AI agent with verified retrieval mechanisms could provide a research system with structured, attestable context windows about its o ◑
2026Idea: An AI agent with verified retrieval capabilities could provide a structured context window of a codebase ◑
2026Idea: Ambiguity originates in the sign-interpreter relationship rather than as an intrinsic property of signs ◑
2026Idea: AI-native one-person businesses using agentic systems (Hermes, OpenClaw) achieve cost parity with traditional outsourcing ◑L-002
2026Idea: AI-embedded-in-coordination acts as a technology that makes latent context and ontology discovery accessible at scale ◑
2026Idea: AI language models produce materially different outputs for the same question based on model variant, timestamp, prompt phrasing, and ◑L-006
2026Idea: AI is dissolving the boundary between cognition and coordination inside organizations ◑
2026Idea: AI enables adoption of developer technologies by wider audiences, potentially lo ◑
2026Idea: AI adoption encounters organizational resistance when framed as job displacement ◑
2026Idea: A single behavior set may instantiate multiple simultaneous invariants operating at different descriptive levels, not a single conserv ◑L-006 L-015
2026Idea: A failure mode exists where Hook 1 (codebase update occurred) fires but Hook 2 (ingestion verified) does not complete, leaving the sys ◑
2026Idea: A delta hook exposing only changed content since last verified ingestion bounds ◑
2026INFUSER: Influence-Guided Self-Evolution Improves Reasoning ◑
2026IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games ◑L-008 L-009
2026HypoForge: A Self-Improving Multi-Agent Framework for Automated Hypothesis Generation and Testing via Scientific Skill Learning ◑L-008
2026HydraCollab: Adaptive Collaborative-Perception for Distributed Autonomous Systems ◑L-006
2026Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks ◑L-011 L-008
2026Hybrid AI for Explainable and Accurate Conversational Agents in eGovernment meta◑L-003
2026HyPOLE: Hyperproperty-Guided Multi-Agent Reinforcement Learning under Partial Observation meta◑L-005
2026Human-on-the-Bridge: Scalable Evaluation for AI Agents ◑L-001
2026Human-like autonomy emerges from self-play and a pinch of human data ◑
2026Human-in-the-Loop Large Language Model Framework for Identification of Cutaneous Immune-Related Adverse Events meta◑L-004 L-012
2026Human-Centric Reflective Architecture for Human-AI Collaborative Decision-Making meta◑L-007
2026Human-AI Collaboration for Estimating Scientific Replicability ◑L-004
2026How to Detect and Measure the AI Dangers to Democracy ◑L-001
2026How to Catch a GPU: A Taxonomy of Verification and Enforcement Mechanisms for International AI Agreements ◑L-002
2026How optimistic inflow forecasts distort dispatch, prices, and contracts in hydro-dominated power systems: evidence from Brazil ◑L-004 L-013 L-008
2026How neighbourhood ideology shapes misinformation belief in densely tied social networks ·L-013
2026How memory can affect collective and cooperative behaviors in an LLM-Based Social Particle Swarm ◑L-010
2026How a Cooperative-Override Circuit Suppresses Nash Play in Large Language Models ◑L-004 L-017
2026How Wasteful is Signaling? ·L-004 L-019
2026How Organizations Use AI: Evidence from ChatGPT ◑L-003 L-010
2026How Much Due Diligence Before You Bid? Learning in Intractable Takeover Auctions ◑L-002
2026How Much Does Correctness Cost? Budgeted Placement of Strong Correctors in a Weak Multi-Agent Swarm ◑L-004
2026How Many Submissions May an Author Make? A Harmonic Quota for Submissions under Coauthorship ●
2026How Many Mechanisms? Measuring Parsimony in Risky Choice ◑
2026How Does Science Education Research Respond to Sociopolitical Change? A BERTopic Analysis of Korean Research meta◑L-003 L-013
2026How Agentic Is Agentic Commerce? A Population-Scale Measurement of x402 Adoption and Authenticity ◑L-001
2026How AI Agents Reshape Knowledge Work: Autonomy, Efficiency, and Scope ◑
2026Household coping mechanisms under grid failure: Evidence from a high electrification context in Lebanon ◑
2026Hierarchical Generative Agents for Simulating Sequential Human Behavior ◑
2026Hierarchical Belief Modeling for Zero-Shot Opponent Adaptation in Partially Observable Multi-Agent Navigation ·L-008
2026Hidden Underbelly of the Silicon Valley: Algorithmic Exploitation and Health in Data Work Value Chains ◑L-003 L-014
2026Hidden Errors in Big Data: The Case of Property Records ◑L-004 L-007
2026Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience ◑
2026Heterogeneous Information-Bottleneck Coordination Graphs for Multi-Agent Reinforcement Learning ◑L-006 L-008
2026HetGPS: Scalable Graph Multi-Agent Reinforcement Learning with Physics-Anchored Adaptive Safety for EV Charging ◑L-005 L-012
2026Healthcare Mechanisms from Policy-as-Code Search under Strategic Provider Response ●L-004 L-008
2026Harnessing agent memory to build lifelong AI partners for materials scientists ◑L-007
2026Harnessing Disagreement: Detecting Correlated Agreement Blindness in Multi-Agent Triage ◑L-013 L-009
2026Harness-RL: Black-Box Reinforcement Learning with Action-Args Decoupling for Central-Agent Multi-Agent Harnesses ◑L-005 L-012
2026Harness Engineering: Anatomy, Architecture, and Evolution of Coding Agents -- A Source-Code Study of Eleven Systems meta·L-001 L-003 L-005
2026Harness Engineering in LLM Tool Use via Agent-Native Reusable Tool Primitives ·L-008 L-012
2026Hardware-Enforced Semantic Coordination for Safety-Critical Real-Time Autonomous Systems ◑L-007 L-003
2026Hallucination by proxy in LLM-assisted differential diagnosis ◑L-004 L-012
2026Hallucination as a Feature, not a Defect: Evaluating a multi-agent architecture to transform speculative language-model outputs into testabl ◑L-011
2026HMAF: A Hierarchical Multi-Slot GD-RTB Allocation Framework ◑
2026HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems ◑L-004 L-012
2026HELENA:Hierarchical Sparse Coordination over a Union of Complementary Topologies for MAS ◑L-010 L-011
2026HALO: A Physics-Aware LLM Agent Framework for Nanophotonic Design ◑L-008 L-011
2026HADT: A Heterogeneous Multi-Agent Differential Transformer for Autonomous Earth Observation Satellite Cluster ◑
2026Group Perspective Matters: Regulating Debate Relationships Can Mitigate Blind Conformity in Multi-Agent Debate ◑L-010
2026Groundwater Management: Combating the Sinking Feeling ◑L-006 L-014
2026Grokipedia vs Wikipedia: An LLM-Based Audit of Political Neutrality along Ideologies ◑L-004 L-013
2026Great Disappearance Acts Generative Search and Shadow Banning ◑
2026Graph Feedback Controls Consensus and Clique Formation in Open-Weight Language-Model Populations ◑L-010
2026Graph Coloring with Color Preferences ·L-005
2026Gradient-extrapolation-based distributed mirror descent algorithm for multi-cluster aggregative games ◑L-010
2026Government AI Use as a Monitoring Primitive: A Public Document Pilot Study meta◑L-013 L-015
2026Governing Well in the Algorithmic Age: The Foundations of Digital Statecraft ◑L-003 L-012 L-015
2026Governing Technical Debt in Agentic AI Systems meta◑L-005 L-001 L-013
2026Governing Execution Risk in Agentic AI Systems: A Trajectory-Guided Framework for Red Teaming meta◑L-009 L-012
2026Governing Delegation to Generative Artificial Intelligence: Human Direction, Work-Related Orientation, and Modes of Use ◑L-012 L-003
2026Governing Artificial Intelligence: Public Preferences and Regulatory Options meta◑L-001 L-003
2026Governing Agentic AI in FinTech ◑L-001 L-012
2026Governing AI Research Through Peer Review: A Mixed-Methods Study of the Longitudinal Effects of Ethics Flags Across Resubmissions meta·L-003 L-013
2026Governed Evolution of Agent Runtimes through Executable Operational Cognition ◑L-001 L-005
2026Governance-as-Code: Translating EU AI Act Technical Requirements into Executable Compliance Pipelines for Generative AI Systems ◑L-001 L-014
2026Governance Gaps in Agent Interoperability Protocols: What MCP, A2A, and ACP Cannot Express ◑L-006 L-015
2026Google's AI & Economy ATLAS v1.0: Mapping Gemini Usage in the Economy ◑L-004 L-006
2026Glyph: A Multi-Strategy Agentic System for Column Description and Sensitivity-Ontology Tagging of Enterprise Data Catalogs ·L-003 L-014
2026GlossoGen: Emergent Language in Complex Multi-Agent LLM Interactions ·L-010 L-017
2026Global Index on Responsible AI 2026 : Conceptual Framework and Methodology meta◑L-003 L-015
2026Global Crises and National Policies: A Large Scale Analysis of Political Content in German Language Online Media meta◑L-003 L-012
2026Geopolitical alignment: Endorsement effects in large language models ◑L-004 L-008
2026Geography in Online Capital Allocation: Evidence from Equity-Based Crowdfunding ◑L-010
2026GeoForge: Non-Parametric Self-Evolving Agents for Earth-Observation Reasoning ◑L-011
2026Generative Models Erode Human Temporal Learning Through Market Selection ●
2026Generative Gap Filling ◑L-004
2026Generative Engine Optimization at Scale: Measuring Brand Visibility Across AI Search Engines ◑
2026Generative Artificial Intelligence in Scientific Research: Individual Benefits, Collective Risks, and a Framework for Responsible Research w meta◑L-004
2026Generative AI Availability, Grades, and Student Satisfaction at a Large University ◑L-004
2026Generating Realistic Individual Activity Schedules via Activity Location Allocation Based on Simulated Travel Times ◑
2026Generalizing a Highly Configurable Analytics Pipeline to Replicate and Support Educational Research Across Multiple Domains ◑L-003
2026Generalized Intention Modeling in Multi-Agent Reinforcement Learning ◑
2026Generalizable Multi-Agent Planning from Signal Temporal Logic Specifications via Diffusion ◑L-003 L-005
2026Generalist AI Control: Towards Multi-purpose Adaptive Algorithms ◑L-001 L-005
2026Gender-based discrepancies in the algorithmic delivery of political ads on social media ◑
2026Gender Bias in LLM Hiring Decisions: Evidence from a Japanese Context and Evaluation of Mitigation Strategies ◑
2026Gaming-Resistant Insurance Contracts for Autonomous AI Agents: Strategy-Proof Toll Mechanism Design ●L-001
2026Game-Theoretic Multi-Agent Control for Robust Contextual Reasoning in LLMs ◑
2026Game-Theoretic Latent Space Alignment for Multi-user Semantic MIMO Communications ◑
2026Game-Theoretic Foundations of Competition for Conscious Access ◑
2026GRPO Does Not Close the Multi-Agent Coordination Gap ◑
2026GPEvac: GNN-Based PPO for Adaptive Evacuation Routing During Shooting Events ◑L-008 L-012
2026GOD: Govern, Observe, and Direct - A Real-Time Control Room for Agent Societies meta◑L-011 L-013 L-015
2026GLP: A Grassroots, Multiagent, Concurrent, Logic Programming Language for AI ◑L-001 L-006
2026Funding the runners-up beats a golden ticket ◑L-004
2026Fundamental market design as a layer of AI-agent alignment ◑L-004 L-008
2026Fully Distributed T\^atonnement for Chores Markets ◑L-006
2026Fully Distributed GNE Algorithms for Multi-Robot Placement without Consensus on Multipliers ◑L-002 L-006
2026Full Justified Representation under Hare and Droop Quotas in Polynomial Time ◑L-003 L-001
2026Full Disclosure, Less Trust? How the Level of Detail about AI Use in News Writing Affects Readers' Trust ◑
2026From inference to prediction: how machine learning is reconfiguring science meta◑L-004 L-012
2026From Welfare to Utility: Generalized Objectives in Budget-Feasible Procurement ◑L-006 L-004 L-008
2026From Tools to Teacher-Built Teammates: No-Code Pedagogical Plugin Authoring with LearnAdapt Agentic Studio and PedOS 1.1 Lumina meta◑
2026From Task-Guided Conversational Graphs to Goal-Oriented Dialogue Runtimes ◑
2026From Task Allocation to Risk Clearing: A Unifying Interface for Mixed Human-Agent Societies ◑L-001 L-005
2026From Survey Personas to LLM Agents: A Generative Agent-based Simulation of Mobility Policy Preference Dynamics ◑L-010
2026From Siloed Algorithms to Compliance-First Agentic Platforms: A Multi-Layered Architecture for Hospital AI Systems ◑L-001 L-005
2026From Runtime Records to Legal Findings: An Evidentiary-Adequacy Criterion for Agentic AI Oversight meta◑L-015
2026From Rules to Nash Equilibria: A Lean 4 Case Study in Game-Theoretic Analysis of a Competitive Trading Card Game ◑L-009
2026From Real-Time Planning to Reliable Execution:Scalable Coordination for Heterogeneous Multi-Robot Fleets in Industrial Environments ◑L-006
2026From Prompt to Purchase: How AI Brand Recommendations Move Consumers on the Open Web ●
2026From Process to Evidence: How Computing Can Ground Appropriate Reliance on Legal AI ◑L-001 L-015
2026From Process Loss to Assembly Bonus: Human-Grounded Diagnosis of Multi-Agent LLM Collaboration meta◑L-003 L-015
2026From Passive Delegates to Strategic Negotiators: Reinforcing Social Reasoning in Small Language Models with SocialRL ◑L-008 L-012
2026From Parliamentary Rhetoric to Enacted Law: An NLP Pipeline for Semantic Auditing of the Greek Legislative Process ◑
2026From PBS to ePBS: the Microstructure of Block Building ◑L-001 L-014
2026From Long to Short: How Interest Rates Shape Life Insurance Markets ◑L-006
2026From Human Guidance to Autonomy: Agent Skill System for End-to-End LLM Deployment on Spatial NPUs ◑
2026From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight ◑L-001 L-014
2026From Fair Representation to Just Recognition in Generative AI ◑L-004 L-012
2026From Execution to Education: A Bloom-Aligned Framework for Measuring Educational Control in LLMs meta◑L-012
2026From Evaluated Models to Evaluation Aids: A Multi-Evidence Study of LLM-Based Difficulty Calibration for Programming Examinations meta◑L-004 L-012
2026From Euclidean to Graph-Structured Data: A Survey of Collaborative Learning ·L-006
2026From Digital Accountability to Accountable Digitality Through Needs-Aware Information Systems: The Case of Auditable Child-Welfare Judgments ·L-003 L-013 L-015
2026From Detection to Refusal: Safer LLMs via Circuit-Guided Weight Scaling ·L-007
2026From Democracies to Autocracies: How AI Systems Enable Authoritarianism by Design ◑
2026From Consumption to Reflection: Designing Human-AI Relations for Stable Reasoning ◑
2026From Compressing Complexity to Accommodating Complexity: How AI Transforms Standardization and Individualization ◑L-001 L-003 L-006
2026From Certain Doom to Survival: Agent-Driven Self-Governance in LLM Agent Societies ◑L-003 L-010 L-017
2026From Awareness to Action: Understanding and Overcoming the Research-Practice Gap in Algorithmic Fairness for Public Health ◑
2026From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Self-Evolving LLM Agents ◑L-011
2026Free Speech and Artificial Intelligence ◑L-004 L-012
2026Framing War Across Languages: Power, Agency, and Sentiment in Wikipedia's Multilingual War Narratives ◑L-003 L-015
2026Fractional Pareto-Optimality in Multiwinner Voting ◑
2026Formal Verification of Learned Multi-Agent Communication Policies via Decision Tree Distillation ◑
2026Forging Self-Funded Marketplaces among Strategic Agents ◑L-004 L-008
2026Forgetting Our Way to Shared Meaning: Effects of Forgetting on Conceptual Alignment in a Non-Partnership Coordination Game ◑L-003
2026Forecasting AI-Era Productivity: The Intellectually Converged Human Framework and a Missing Cognitive Mediator in Production Function Theory ◑
2026ForecastAgentSearch: Towards a Multi-Expert Agent Search System for Geopolitical Event Forecasting ◑L-004
2026Fooling Yourself: how narratives shape beliefs ◑L-004 L-013
2026Following the Preference, Missing the Optimum: Compliance Without Optimization in AI Housing Recommendation ·L-004 L-012
2026Follow the Norm: Accounting for Fine-Tuning and Prompt Effects on Model Rationales ◑L-004 L-008
2026FocusGen: Expanding Visual Design Exploration with a Simulated Focus Group of Persona Agents ◑L-010
2026Flag Game: A Toy Model for Mechanistic Swarm Interpretability ◑L-011
2026Fisher Markets with Approximately Optimal Bundles and the Need for a PCP Theorem for PPAD ◑
2026First Demonstration of Multi-Agent LLM System for Million-Scale Optical Link Management in Global Production AIDCs ◑L-008 L-012
2026Firm Valuation When AI Shapes the Business Model: A Milestone-Based Real-Options Framework for the AI Valuation Uncertainty Problem ◑L-001 L-004
2026Finishing the Task Is Not Enough: Evaluating Agent Resilience and Considerate Participation under Accumulating Challenge ·L-005 L-010
2026Fine-Tuning Autobidders with Group Relative Policy Optimization ◑L-004 L-008 L-012
2026Finding Common Mistakes In Modelling With Mathematical Formalisms Using LLMs meta◑L-004
2026Financial Technologies, Labor Markets, and Wage Inequality: Evidence from Instant Payment Systems ◑L-006
2026Final Authority in AI Governance: Frontier-Provider Sovereignty and Action-Centered Deployer Governance meta◑L-001
2026FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings ◑L-004 L-015
2026Filling holes in science draws collective attention, but most higher-order holes remain unexplored meta◑
2026Fighting discrimination with reputation: The case of online platforms ◑L-002 L-007
2026Fifty Years of Specification Completeness: What Aviation Certification Tells AI Governance About Epoch Limits, Proof Surfaces, and the Struc ◑L-001 L-013
2026Feedback-Coupled Memory Systems in Continuous Time ◑L-006 L-008
2026Federation Is Nearly Free, Reasoning Is Not: Tradeoffs for AI Co-Scientists in Protein Characterization Workflows meta◑L-015
2026Federated Fair Trade Energy: Speculative Fabulation for a Planet with Limits ◑
2026FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation ◑L-006 L-008
2026FedEHR-Agents: Federated Agentic Optimization for Automated EHR Modeling ◑L-001 L-008
2026FedAgentKE: Federated Semantic Knowledge Evolution for Heterogeneous Agents ◑L-006 L-015
2026Faults and Pitfalls in Implementing the Right to be Forgotten ◑L-001 L-003
2026Faster Verification of PJR$^+$ via Mincuts ◑L-004
2026False Confidence: Automated Labels Confound Fairness Audits in Cervical Spine Segmentation ◑L-004 L-013
2026Falling Behind Drives Unsafe Development in an Idealised AI Race Experiment ◑L-009
2026Fairness-Aware Multimodal Transformer Modeling for Real-Time Student Attention Estimation ·L-004
2026Fairness--Stability Trade-offs in Many-to-One Matching ◑L-006
2026Fairness and Strategy-Proofness in Automated Market Makers ◑
2026Fairness Pruning: Locating Demographic Bias in GLU-MLP Layers via Differential Activations ◑L-004 L-014
2026FairGlucose: A CGM Fairness Benchmark Reveals Subgroup Disparities Hidden in Population-Level Validation ◑L-004 L-013
2026Fair and Efficient Balanced Allocations for Additive Valuations ◑L-006
2026Fair Stable Matching: A Nash Social Welfare Approach ·L-019
2026Fair Online Resource Allocation ◑
2026Fair Division by Contribution: A Shapley Value Perspective ◑L-001
2026Fair Allocation with Optional Selling ◑L-004 L-008
2026Fair Allocation under Conflict Constraints via Strong Colorability ◑L-006
2026Failure Privacy and Safe Collective Expression meta◑L-006 L-010 L-003 L-007
2026Failure Modes of Deep Multi-Agent RL in Asynchronous Pricing: Reproducible Triggers, Trace Diagnostics, and a Partial Fix ◑
2026FOI-O: A global ontology and verification framework for Freedom of Information process modelling ◑L-015
2026FINSKILLOPS: A Self-Evolving Multi-Agent System for SEC Filing QA ◑L-016 L-013
2026F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading ◑L-008
2026Extracting ODRL Policies from Business Process Models: A Graph Traversal Approach to Compliance-by-Extraction ◑L-003
2026Extending Liquid Rank Toward Multi-Source Reputation Aggregation ◑L-006
2026Exploring the Role of Automated Feedback in Programming Education: A Systematic Literature Review meta◑L-003
2026Exploring cooperation mechanisms via deep reinforcement learning in network common-pool resource games ◑L-006 L-010
2026Exploring K-12 Teachers' Perceptions of Students' Relationships with AI Companions: Boundaries, Intervention Strategies, and Desig meta◑L-003 L-013
2026Exploring Fraction Comprehension and Interest in Elementary Education Through AI-Powered Personalized Learning ◑L-012 L-013
2026Explainable Machine Learning in Healthcare: Methods, Interpretation, and Applications for Clinical Research meta◑L-012
2026Explainable AI for the EU Right to Explanation: A Systematic Review of the Law-XAI Translation Gap meta◑L-015
2026Experts Disagree on How to Fight AI Disinformation, but Agree That Health and Politics Need Different Solutions ◑L-004
2026Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents ◑L-003
2026Expectations and Practices around AI Disclosure in CS Research meta◑L-003
2026Exit-and-Join Dynamics for Decentralized Coalition Formation ◑
2026Existence of the Core in Approval-Based Committee Elections ·L-019
2026Existence and computation of monomial families of near-optimal strategies for recursive games ◑L-003 L-005
2026Execution and assessment of agentic influence operations in simulated social networks ◑L-004 L-003
2026Execution and Evaluation: A New Occupational Measure and Long-Run Employment Gradients ◑L-004 L-012
2026Examining the Challenges of Intellectual Property in AI-Generated Productions ◑L-001 L-004
2026Examining Community-Requested Fact-Checking: Request Alerts Are Associated with Greater Diversity and Visibility of Community Notes ◑L-013
2026Exact Regret Frontiers and Externality Scheduling in Centralized Serial-Dictatorship Bandits ◑L-010 L-006
2026Ex-ante versus Ex-post: Egalitarian Facility Location Mechanism Design ◑L-004 L-011 L-008 L-019
2026Ex-Post Equilibria: Structure and Computation ◑L-001 L-012
2026Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems ◑L-005
2026Evolutionary dynamics of collective decision-making with local social influence on static and dynamic networks ◑L-003 L-010
2026Evolutionary Dynamics of Cooperation in Next-Generation LLM Agent Systems: A Cross-Provider Empirical Extension ◑
2026EvoHarnessBench: Can Your Agents Keep Pace with an Evolving Harness? ·L-001 L-005 L-013
2026EvoGraph-Mem: Failure-Aware Editable Graph Memory for Long-Term Language Agents ◑L-013
2026Evidence-Grounded Verified Agentic Reasoning: A Path Toward Eliminating LLM Hallucination in Empirical Inference via Tool-Attested Kernel Pr ◑L-004 L-008
2026Evidence, Logic, and Compliance: Multi-Agent Structured Graph Reasoning with Expert Arbitration for Medical Referral ◑L-012
2026Evidence Markets ●
2026Everyone Conforms, No One Believes: Pluralistic Ignorance in LLM Agent Populations ◑L-010
2026Evaluation of Alternative-Based Information Systems for Deliberative Polling using an Agentic Simulator ◑
2026Evaluation in the Age of AI: Output as Evidence of Learning ◑L-004
2026Evaluating XAI Support From A Hierarchical Reinforcement Learning Policy in Human-Agent Collaboration meta◑L-012
2026Evaluating Rational Contracting in Natural Language ◑L-008
2026Evaluating Large Language Models for Decision-Making in Agent-Based Urban Mobility Simulations ◑L-012
2026Evaluating Collective Behaviour of Hundreds of LLM Agents ◑L-009 L-010
2026Evaluating Ambient Clinical Scribes in India: The Need for Multilingual Real-World Clinical Conversation Data meta◑L-004
2026Evaluating Agentic Bioinformatics through Function, Evidence, and Validation ◑L-013 L-015
2026Ethics and EU AI Act in Cases of Work Disability Risk and Alzheimer's Disease Risk Prediction ◑L-004 L-014
2026Estimation-Prediction Tradeoff in Causal Probabilistic Temporal Graphs meta◑
2026Error-Aware Reverse Auction Mechanism for Large Language Model Routing ◑L-001 L-012
2026Ergodic Deviation-Robust Equilibrium under Mirror Descent Learning in Finite Games ◑
2026Equilibrium stability as a driver of cooperation among Q-learners ◑L-009
2026Equilibrium in Multi-Agent Reinforcement Learning ◑L-009
2026Equilibrium Transition and Cartel Formation: A Structural Analysis of Chile's Pharmacy Cartel ◑L-001 L-004
2026Equilibrium Selection in Coordination Games with Planned Actions and Scouting ◑L-010
2026Equilibrium Pricing in Oligopolistic Data Markets ◑L-004 L-014
2026Equilibrium Computation in Extensive-Form Games with Stochastic Action Sets ●
2026Epistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence ·L-010
2026Epistemic Subordination: Generative AI and the Infrastructure of Knowledge ◑L-004 L-012
2026Epistemic Pairwise Maximin Share ◑
2026Ephemeral Feeds and Enduring Rituals: RushTok and the Formation of Event-Based Algorithmic Communities ·L-017
2026Envy-Free Chore Allocation with Unit Subsidies under Negative Dichotomous Valuations ◑L-019 L-004
2026Envy-Free Allocation of Indivisible Goods via Noisy Queries ◑
2026Envy Cycle Elimination with Strategic Agents: Best Responses and Fairness Guarantees ◑
2026Envisioning Sensemaking in Multi-Human, Multi-Agent Collaborative Knowledge Work ◑
2026Entropy-Augmented Multi-Objective Policy Optimization in Multiagent Systems ◑
2026Enhancing Human Mobility Prediction with Spatially Aware LLM-based Multi-Agent Systems ◑L-008 L-012
2026Enhancing Decision-Making with Large Language Models through Multi-Agent Fictitious Play ◑
2026Engineering Trustworthy Agentic AI for Critical Systems meta◑L-002 L-007
2026Engineering Reliable Autonomous Systems: Challenges and Solutions ◑
2026Endorsement Without New Evidence: How Sequential Voting Inflates Mandates in Online Community Governance ·L-010 L-019
2026Empowering 9-1-1 Calltaking Training with Generative AI: Experiences and Lessons Learned ◑L-012 L-013
2026Emergent Risks in Generative Multi-Agent Systems ·L-008 L-009 L-021
2026Emergent Relational Order in LLM Agent Societies: From Collective Affect to Authority Stratification ◑
2026Emergent Misaligned Communication in Long-Horizon Multi-Agent LLM Commerce ◑L-011 L-012
2026Emergent Culture in Minimal LLM Systems ◑L-010
2026Emergence of Reputation-Based Cooperation in LLM Agents ◑L-010
2026Emergence of Biased Consensus in Multi-Agent LLM Debates ◑L-004
2026Emergence World: Adversarial Stress-Testing of Long-Horizon Multi-Agent Systems ◑L-001 L-009
2026Emergence World: A Platform for Evaluating Long-Horizon Multi-Agent Autonomy ◑
2026Embodied Multi-Agent Coordination by Aligning World Models Through Dialogue ◑L-003 L-011
2026Electricity demand has not become more price-responsive despite ninety years of technological change ◑L-004 L-013
2026El Agente Quntur: A research collaborator agent for quantum chemistry ·L-012
2026Eigenism: Ethics for a Human-AI Future ◑
2026Efficient Nash Equilibrium Computation for Cybersecurity Games ◑L-001
2026Effective Personalized AI Tutors via LLM-Guided Reinforcement Learning ◑L-004 L-008
2026Education-centered critical policy analysis of AI: Ghana's AI strategy as a case meta◑L-001
2026EduMirror: Modeling Educational Social Dynamics with Value-driven Multi-agent Simulation ◑
2026EduGuard: A Safe RAG-Based LLM Tutor for Programming Education meta◑L-004
2026EduClaw-Bench: A Long-Horizon Benchmark for Pedagogical LLM Agents with Simulated Learners ◑L-011 L-012
2026Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions ◑
2026EconCSLib: AI-Assisted Lean Formalization for Economics & Computation research meta◑
2026EconCSLib: A Lean Library for Computational Economics and AI-Assisted Research ◑L-001
2026Echoes in the Digital Abyss: Examining the Bubble Surrounding Security and Privacy Discourse in Social Networks ◑L-013
2026Easier, but Not Easy: Nash Welfare under Lexicographic Valuations ◑L-004 L-008
2026Early Epistemic Settlement in AI-Assisted Writing meta·L-003
2026EULER: Exploring Underused Links with Evidence-Checked Return for Multi-Agent Mathematical Discovery ·L-006
2026ETHOS: Towards a Modular Ethics Framework for Clinical Multi-Agent Systems ·L-004 L-007
2026ERPBench: A State-Grounded Evaluation Paradigm for Computer-Use Agents in Enterprise Software ◑L-002
2026EMAgnet: Parameter-Space EMA Regularization for Policy Gradient Self-Play in Large Games ◑
2026EFX Allocations Exist on Multi-Graphs ◑
2026EF1-Constrained Nash Social Welfare with Identical Additive Valuations: Complexity, Guarantees, and Experiments ·L-019
2026EDATracer: An Agentic Framework for Large-Scale EDA Artifact Analysis ◑L-012
2026ED3R: Energy-Aware Distributed Disaster Detection Enabled by Cooperative Robotic Agents ◑
2026EASE Configuration Facilitates A Reproducible Science of LLM Social Simulations ◑L-003
2026EARS: Explanatory Abstention for Reliable Sub-Agent Modeling in Large-scale Multi-Agent Systems ◑
2026Dynamics and Convergences for Markov Coevolutionary Opinion Formation Games in Dynamic Social Networks ◑L-010 L-003
2026Dynamic Programming for Epistemic Uncertainty in Markov Decision Processes ◑L-008
2026Dynamic Coordination Strategy Selection for Enterprise Multi-Agent Systems ◑
2026Dutch Books for Language Models ·L-004
2026Dreaming Of Others: Latent Teammate Modeling In World Models For Multi-Agent Reinforcement Learning ◑
2026Dreamer-CPC: Message Learning with World Models for Decentralized Multi-agent Reinforcement Learning ◑L-006 L-011
2026Draining the Energy Commons: Self-Defeating Over-Appropriation as a Coordination Failure in Agentic LLM Collectives ◑L-006 L-009
2026Domination-Avoiding Learning Agents Cannot Collude ◑
2026Does the grand coalition form? Persistence, arrival, and the role of the sharing rule in a dynamic process of nested binding agreements ◑L-003 L-010 L-001
2026Does generative AI narrow education-based productivity gaps? Evidence from a randomized experiment ◑L-004 L-008
2026Does Training on Future Data Pay? Look-Ahead Bias in Forecasting with Pretrained Models ◑L-004
2026Does Rank Still Matter? Position Bias When AI Agents Shop on Our Behalf ◑L-012 L-014 L-008 L-016
2026Does Distributed Training Undermine Compute Governance? ●L-001
2026Does Discussion Matter? Interaction Dynamics in Transparent Peer Review meta◑L-003 L-015
2026Does Artificial Intelligence Advance Science? ◑
2026DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data ◑L-004 L-012
2026Do wind and solar curtail at negative electricity prices? Incentives and evidence across two decades of German renewable support schemes ·L-008 L-004
2026Do people rely on ChatGPT more than their peers to detect deepfake news? ◑L-004
2026Do job seekers value procedure in AI hiring only for error correction? Evidence from a conjoint experiment meta◑L-007
2026Do People Follow AI Advice? Evidence from a Pension Portfolio Choice Experiment ◑L-004 L-012
2026Do Not Discretize, Optimize: Almost Greedy Fictitious Play ◑
2026Do Matching Mechanisms Work with LLM Agents? ◑
2026Do LLMs Take Care of Their Own? Similarity Signals Can Induce Cooperation ◑L-010
2026Do LLMs Know Your Neighborhood? Auditing LLM Priors for Neighborhood-Level Mobility Prediction and Structural Alignment ·L-004
2026Do LLMs Beat Nash? Testing Decentralized Coordination in Self-Play Multi-Agent Games ◑L-010
2026Do Humans Bargain Differently with AI? Evidence from Alternating-Offer Games ◑L-004 L-008
2026Do Generative AI Assistants Respect robots.txt? Tracing Web Access Beyond Visible Answers ◑L-014
2026Divergent Recommendations, Convergent Diagnoses: Cross-Provider Failure-Mode Convergence in AI Commercial Recommendation ◑L-008 L-014
2026Distributed Team Orchestration via Supervisor Networks: Convergence, Optimality, and Resilience ◑L-006
2026Distributed Constraint Optimization via Online Learning and Iterative Pricing with Application to Large-Scale Satellite Scheduling ◑L-006 L-008
2026Distributed Algorithm for Robust Wardrop Equilibrium in Uncertain Aggregative Congestion Games ◑
2026Distributed Agent System: Fault-Tolerant Collaboration Among Embodied Agents ◑L-005
2026Distribird: Literature-Informed Prior Distribution Design for Bayesian Model Calibration meta◑
2026Distilling Aggregate Mobility Statistics into a Language Model Policy for Post-Event Crowd Simulation ◑L-006 L-015
2026Discovering Efficient and Explainable Communication Topologies for LLM-based Multi-Agent Systems via Causal Inference ◑L-011 L-012
2026Directors Duties in the Age of Agentic Artificial Intelligence ◑
2026Directional AI Advice: Experimental Evidence from Healthcare ◑L-004 L-012
2026Dimensions of Power: A Systematic Guide to Power Indices for Explainable AI meta◑L-001 L-004
2026Digital State Capacity meta◑L-001
2026Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents ◑L-010
2026Digital Euro: Frequently Asked Questions Revisited ◑L-001 L-003
2026Differentially Private Multicolor Discrepancy and Fair Division of Indivisible Goods ◑L-004 L-019
2026Differentially Private Auditing Under Strategic Response ◑L-008 L-014
2026Differentiable Model Predictive Safety for Heterogeneous Mobility at Urban Intersections ◑L-003
2026Difference-in-Differences on a Censored Rating Scale Can Manufacture an Effect: Evidence from a Pre-Registered LLM-Judge Audit meta◑L-004
2026DevicesWorld: Benchmarking Cross-Device Agents in Heterogeneous Environments ◑L-010
2026Detoxifying Toxic Communication: A Design Science Approach to Responsible AI ·L-003 L-016
2026Detecting Deceptive Recruitment: A Signal-theoretic Machine Learning Framework for Early Identification of Labour Exploitation ◑L-004 L-008
2026Detecting Collusion in Peer Review: Drawing Inspiration from VCG Principle ◑L-014
2026Designing Safety-Constrained LLM Systems for Public Health Information Access ◑L-004 L-007
2026Designing Recommendation Exposure and Favorite Lists: A Field Experiment in a Spot-Work Platform ◑L-012 L-016
2026Designing Inclusive Crypto-Asset Dispute Resolution A Hybrid AI and Smart Contract Online Dispute Resolution Framework for Vulnerable Users ◑L-001
2026Designing Ad Auctions with Targeting Information ◑L-004 L-014
2026Designed by Journalists, but Is It for Journalists, but Is It for Readers? Rethinking AI Disclosures and Transparency in News ◑
2026Design and Evaluation of Multi-Agent AI Oracle Systems for Prediction Market Resolution ◑
2026Design Concept: Scaffolding Geopolitical Reflection Among Tech Workers meta◑
2026Deriving the Pure Price of Anarchy for Networked Resource Allocation Games ·L-003 L-006
2026Deployment-Time Memorization in Foundation-Model Agents ◑L-001 L-008
2026Deontic Policies for Runtime Governance of Agentic AI Systems ◑
2026Democracy Needs Reach: Political Equality, Online Speech, and Algorithmic Recommendation ·L-012
2026Demand Curvature and Pass-Through in Multiproduct Oligopoly ◑L-004 L-008
2026Delegation and Verification Under AI ◑L-002 L-012
2026Delegating Authorization to Misaligned Agents: Coalitional Alignment and Safe Control ◑L-001 L-012
2026Delegated Monitoring in Public-Private Sector Credit Programs: Underinvestment, Overinvestment, and the Design of Subsidized Lending ◑L-004 L-006
2026Delegated Fair Division ◑L-006 L-012
2026Delayed Verification Destabilizes Multi-Agent LLM Belief: Instability Thresholds and Optimal Corrector Placement ◑L-003
2026Delayed Repression and Emergent Instability in Adaptive Multi-Agent Systems ◑
2026Defining AI Agents: A Compendium of Criteria, Metrics, and Benchmarks meta·
2026Defensive Rebalancing for Automated Market Makers ◑L-008 L-002
2026DeepRoot: A KG-Coordinated Multi-Agent System for Therapeutic Reasoning over Historical Medical Texts ◑
2026Deep-Unfolded Coordination ◑
2026Decoupling Thought from Speech: Knowledge-Grounded Counterfactual Reasoning for Resilient Multi-Agent Argumentation ◑
2026Decoupling Search from Reasoning: A Vendor-Agnostic Grounding Architecture for LLM Agents ◑
2026Decoupled Delay Compensation: Enhancing Pre-trained MARL Policies via Learned Dynamics Filtering ◑L-005
2026Decomposition Buys Integrity, Not Yield ◑L-005 L-006
2026Decision-Focused Learning in Network Interdiction Games ◑L-008 L-012
2026Decision-Centered Evaluation of Machine Learning Poverty Maps Using Mobile Phone and Satellite Data ◑L-004 L-012
2026Decision Protocols in Multi-Agent Large Language Model Conversations ◑L-008 L-010
2026Decentralized Multi-agent Reinforcement Learning for Resilient Critical Infrastructures ◑L-006 L-007
2026Decentralized Multi-Agent Urban Traffic Management via Spatio-Temporal Mobility Profile Planning ◑L-006
2026Decentralized Multi-Agent Systems with Shared Context ◑
2026Decentralized Granular Access Control for Agentic AI Systems in Critical Infrastructure ◑L-002 L-014
2026Decentralized Equilibrium for Bitcoin Mining ◑L-001 L-009
2026Decentralized Coordination of Autonomous Traffic Through Advanced Air Mobility Corridors ◑
2026Decentralized Aggregation of LLM Predictions via Wagering Mechanisms ◑L-008 L-010
2026Decentralization of Agenda-Setting Power and Domain-Selective Bridging: Algorithm Design Beyond the Echo Chamber Debate ◑L-003 L-014
2026Decentralised Consensus Learning Networks: SME Rotation Without Centralised Reward ◑L-006
2026Data Sharing and Competition in Learning-by-Deploying Industries: Insights from Robotics and Beyond ◑L-001 L-006 L-010
2026Data Intelligence Agents: Interpreting, Modeling, and Querying Enterprise Data via Autonomous Coding Agents ◑
2026Data Bias Mitigation under Coverage Constraints & The Price of Fairness ◑
2026Data Annotations as Pedagogical Hints: From Subjective Labels to Critical Thinking meta◑L-004
2026Data Annotation as Measurement meta◑L-004
2026Danus: Orchestrating Mathematical Reasoning Agents with Fact-Graph Memory ◑L-011
2026DSA: Evidence-Aware LLM-Agent Orchestration for Multi-Market Stock Research ◑L-008 L-012
2026DRFLOW: A Deep Research Benchmark for Personalized Workflow Prediction ◑
2026DM$^3$-Nav: Decentralized Multi-Agent Multimodal Multi-Object Semantic Navigation ◑L-010 L-011 L-003 L-006
2026DIRECT: Decomposing Audience Preference and Creative Effect in Visual Content Analytics ◑L-004 L-012
2026DART-SD: Diamond-topology Aware Retrieval and Tuning for Self-Distillation of Multi-Turn Tool-Calling Agents ◑L-008 L-011
2026D2MDT: Department-aware Multidisciplinary Team Consultation with Deliberation for Efficient Clinical Prediction ◑
2026Cycles in Liquid Democracy: A Game-Theoretic Justification ◑L-010
2026CyberNeuro: A Privacy-Preserving Agentic Workbench for Cohort-Scale Neuroimage and Clinical Data Analysis ◑L-001 L-003
2026CultureConverse: A Multilingual Multi-turn Simulation Harness for Culturally Grounded Assistance in East and Southeast Asia meta◑
2026Cross-Task Dissociation in Frontier Vision-Language Model Theory of Mind ◑L-011
2026Cross-Disciplinary Taxonomy and Modeling of Misunderstanding Generation, Amplification, and Detection, from Pragmatics to AI Agents ◑L-012 L-015
2026Critique of Agent Model ◑
2026Critical Acclaim Orientation in Large Language Models: Evidence from Film Preference Elicitation ◑L-004 L-013
2026Crayotter: Traceable Multi-Agent Workflows for Long-Form Video Editing ◑L-006 L-012
2026Counterfactual, Per-Decision Bias Auditing for Automated Hiring: Localizing and Explaining Disparate Impact in Applicant Tracking Systems ◑L-004 L-012 L-014
2026Counterfactual Explanations and the Scope of Contestability ◑L-004 L-012
2026Could Underwater Data Centers Pose a Risk to AI Treaty Verification? ◑L-001
2026Cost of Structural Learning Under Censored Feedback: A Threshold-Bandit Approach ◑L-003
2026Corporate Loyalty: Some AI Systems Differentially Downplay their Creators' Controversies ·L-004 L-014
2026Core Up-To-One for Participatory Budgeting with Additive Utilities ◑L-006 L-019
2026Copyright Is the Headline; Capability Is the Blind Spot: AI Technology in the Book-Publishing Trade Press, November 2025--August 2026 meta◑L-013
2026Cooperative Integer Programming Games: Core Stability and Optimal Coalition Structures ·L-006
2026Convergence of Replicator Dynamics in the Repeated Prisoner's Dilemma with Restarts ◑
2026Control-Data Flow Separation: Stable Prompt Optimization in Multi-Agent LLMs ·L-001 L-003
2026Contracting for LLM Delegation: Moral Hazard in Technology and Effort Choice ◑L-008
2026Contract-Based Compositional Shielding for Safe Multi-Agent Reinforcement Learning ◑L-005 L-008
2026Continuous-Time Information-Mechanism Control ◑L-008
2026Continuous Improvement and Parallel Autonomous Exploration: An LLM-Agent Framework for Searching Large Solution Spaces ◑L-008 L-004
2026Context-Conditioned Generative Models Enable Subnational Refinement of Sparse Humanitarian Surveys ◑
2026Constructive Alignment: Governing Preference Dynamics in Human-AI Interaction ◑L-004 L-008
2026Constitutional governance for societies of AI agents in the built environment: a research agenda ◑L-001 L-003
2026Constitutional Arms Races in the Public Goods Game: Co-Evolving LLM Constitutions Under Cooperation-Defection Pressure ◑L-001 L-003 L-004
2026Consistency-Robustness Tradeoffs for Strategyproof Scheduling with Predictions ◑L-001 L-004
2026Congestion-Based Slot Pricing in a Railway Auction Game ◑L-004 L-006
2026Conformity Mitigations in Large Language Models Lie on a Single Resistance-Receptivity Frontier ◑L-010 L-004
2026Condorcet-type properties of the linear ordering problem with ties ◑L-019
2026Conditional Disclosure as a Coordination Device ◑L-010 L-003 L-006
2026Concerns and Strategic Responses of Older Workers Navigating Generative AI in Bridge Employment ◑
2026Conceptualization and experimentation of asset market with price manipulation ◑L-004 L-008
2026Computationally Efficient Collaborative Communication Via Regularity-Based Coarsening ◑L-006 L-008
2026Computational Orientalism: Measuring Structural Discourse Bias in Large Language Models Using the Middle East Cultural Sensitivity Score (ME ◑L-004 L-013
2026Compositional Semantic Communication for Physical AI: Category Theory Meets Game Theory ◑L-006 L-003
2026Compositional Policy Violations: When Step-Level Compliance Fails In Agentic AI Workflows ◑L-005 L-012
2026Composable Verification Pipelines for Multi-Agent Systems meta◑L-002
2026Competitive satellite placement and the geography of orbital risk: evidence from the geostationary arc ◑L-009 L-001 L-014
2026Competitive Market Behavior of LLMs ·L-001 L-004
2026Competitive Equilibrium in Labor Economies through the Lens of Goods and Chores Fisher Markets ◑L-001
2026Competitive Analysis for Online Fair Division under Multiple Fairness Notions ◑
2026Competing firms, competing regulators: The strategic cost of fragmented climate policy ◑
2026Competing Auctions in Intermediated Markets ●
2026Compensation Design ◑L-004 L-008 L-006 L-019
2026Comparing Market Mechanism Efficiencies ◑
2026Comparing LLM-Based Conversational and Graphical Interfaces for Industrial Decision Tasks: An Exploratory Mixed-Methods Study ◑
2026Compared to What? A Human-Anchored Security Benchmark for LLM-Generated Infrastructure-as-Code ◑L-004
2026Comparative Framework Analysis for Enterprise Generative AI Applications: Chatbot, Automation, and Oracle-to-PostgreSQL Migration ◑L-008 L-012
2026CompanionSim: Synthetic Data for Evaluating Anthropomorphism in Human-AI Relationships ·L-004
2026CompanionHarm: A Multi-Turn Benchmark for Detecting Harms in Real-World AI Companion Conversations ◑L-004 L-013
2026Compact Latent Coordination for Autonomous Vehicles at Unsignalized Intersections ◑L-010 L-006
2026CompEvo: Competition-Induced Evolution for Multi-Agent in News-Driven Time Series Forecasting ·L-009 L-004
2026Communication-Efficient Digital-Twin Coordination for Heterogeneous LLM Embodied Agents over Computing Power Networks ◑L-006 L-008
2026Commons-Governed Artificial Intelligence: A Taxonomy of Collective Governance ◑L-001
2026Collective Intelligence with Foundation Models ◑L-006
2026Collective Counterfactual Planning: Coordination, Consent, and Verification under Representational Constraints ◑L-006 L-010
2026Collaborative Disagreement Resolution for Scalable Oversight ◑L-004
2026CollabSkill: Evaluating Human-Agent Collaboration On Real-World Tasks ◑
2026Cognitive Extensions for Dual-Process Language Agents: Memory and Self-Reflection in Interactive Environments ◑L-011
2026Cognitive Cells: A Compositional Framework for Populations of Small Language Models ◑L-005 L-011
2026Coercion and Deception in AI-to-AI Management: An Agentic Benchmark of Unprompted Escalation ◑L-008 L-012
2026Codebook Agent: Amortized Topology Design for LLM Multi-Agent Systems ·L-010 L-017
2026CodeStylist: Supporting Early Undergraduate Programmers with Course-Aware Code Style Feedback meta◑L-003
2026Coarse Preference Reporting in the Bottleneck Model: Approximate Strategyproofness and Efficiency ◑
2026Coalition Free Energy and Adaptive Precision in Multi-Agent Cooperation ◑L-003
2026Coalition Formation with Limited Information Sharing for Local Energy Management ◑L-006 L-010
2026CoWeaver: A Bi-directional, Learnable and Explainable Matching Engine for Mixed Human-Agent Science Collaboration ◑L-012
2026CoPlan: A Trustworthy Co-Intelligence Interface for Care Planning through Role-Based Contestable Argument Graphs ◑L-012
2026CoAgent: Concurrency Control for Multi-Agent Systems ●
2026Co-constructing sociotechnical AI governance: participatory system mapping using algorithm registers meta◑L-003
2026Co-GLANCE: Uncertainty-Aware Active Perception for Heterogeneous Robot Teaming ◑
2026Closed-Loop Molecular Design with Calibrated Deference ◑
2026Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction ◑L-003
2026Clinical Pathways as Safety Specifications for Physical AI in Hospital Wards ◑L-007 L-003
2026Clinical Audit Logs as Multi-Axial Traces of Care Delivery ◑L-015
2026Classic AI Scaffolding for LLM Social Agents ·L-003
2026ClaimReceipt: Verifying Evidence Sufficiency and Coverage in Agent Evaluations ·L-015
2026CityReal: Human-Aligned Urban Behavior and City Dynamics Simulation with Large-Scale LLM Agents ◑L-011
2026CityLearn v3: A Configurable Simulation and Evaluation Framework for Realistic Control Studies of Renewable Energy Communities ◑L-006 L-003
2026City Editing: Hierarchical Agentic Execution for Dependency-Aware Urban Geospatial Modification ·L-005
2026Cheaper AI, More Informality? A Dual Labor Market Model for Developing Economies ◑L-003 L-006
2026Cheap, Fallible Cognition and the Political Economy of Expertise meta◑L-003
2026Cheap Talk Stabilizes Strategic Interaction in LLM Agents ◑L-010
2026ChatGPT Solves All Tested Qiskit Homework Assignments ◑L-004 L-008
2026Characterizing Opinion Evolution of Networked LLMs ◑
2026Characterizing Bluesky Content Moderation Service: From Automation of Service to Landscape of Harms ·L-013
2026ChannelGuard: Safe Models Do Not Compose into Safe Multi-Agent Systems ◑L-001 L-012
2026Chaining Tasks, Redefining Work: A Theory of AI Automation ●
2026Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges ◑L-004 L-008
2026Certifying cooperation: a novel approach to cooperative multi-agent task generation ·L-010
2026Certifying Collective Reasoning in Multi-Agent Systems via Koopman Spectral Analysis ◑L-011
2026CentaurBench: Benchmarking LLM Capabilities on Augmenting vs. Automating Real-World Work Tasks ◑L-012
2026Censorship Resistance and Throughput with Multiple Concurrent Proposers ◑L-009 L-014
2026CausalSteward: An Agentic Divide-Conquer-Combine Copilot for Causal Discovery meta◑L-012
2026Causal Mirage Equilibrium in Agentic Machine Intelligence ●L-011
2026Causal Inference under Interference with Learned Exposure Mappings ◑
2026Causal Evidentiary Governance for High-Risk Machine Learning Systems ·L-004 L-012
2026Catastrophic disruption cascades driven by the nonlinearity of systemic risk ◑L-006
2026Carefully Considering Culture: Analyzing LLM Alignment in Single- and Multi-Cultural Settings using Cultural Consensus Theory ◑L-003
2026CareGraph: An Auditable Hybrid AI Framework for Evidence-Grounded Personalized Longitudinal Health Intelligence ◑L-012
2026Capacity Markets for Large Loads under Supply-Chain Constraints ◑L-006
2026Capability-Based Planning for AI Crisis Preparedness meta◑L-001
2026Capability Advertisement as a Market for Lemons: A Trust Layer for Heterogeneous Agent Networks ◑
2026Candidate supply and answer selection shape the value of LLM judging in multi-agent systems ◑L-010 L-012
2026Candidate Resignation Monotonicity in Approval-Based Committee Elections ◑L-001 L-003
2026Can ranked-choice voting elect the least popular candidate? ◑L-003
2026Can We Trust AI Agents in the Supermarket? Sugar Content Inference from Product Images ◑L-004
2026Can Trustless Agents Be Trusted? An Empirical Study of the ERC-8004 Decentralized AI Agent Ecosystem ◑L-007 L-008
2026Can Physician Expertise Improve Machine Learning Identification of Delirium? meta◑L-011
2026Can Large Language Models Represent Urban Publics? Behavioral Replication and Population Mismatch in an Affordable-Housing Experiment ◑L-004 L-012
2026Can LLM Agents Price Competitively? A Dynamic Multi-Attribute Auction Benchmark for Agentic Commerce ◑L-008 L-014
2026Can I Buy Your KV Cache? ◑
2026Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization ·L-003 L-004
2026Can AI Agents Synthesize Scientific Conclusions? ◑
2026Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population meta◑L-013 L-015
2026Calibrating WEAT Against Anisotropy: ZCA Whitening as a Geometric Pre-Processing Step for Embedding Association Tests meta◑L-004
2026Cache Merging as a Convergent Replicated State for Multi-Agent Latent Reasoning ◑L-011
2026CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows ◑L-005
2026CRAFT: Learn the Schema, Execute the Plan ◑L-003 L-012
2026CHMAS: A Coupled Hierarchical Framework for Multi-Agent Reinforcement Learning ◑L-006 L-003
2026CHILL-Harness: Counterfactual Harness Learning for Efficient Reasoning in Long-Horizon Agents meta◑L-005
2026CC-OPI: Online Distributed Task Allocation for UAV Swarms under Communication Constraints ◑L-010 L-006
2026CAP-DO: Learned Contextual Action Proposals for Certified Double-Oracle Solving Across Related Zero-Sum Games ◑L-002
2026CANONIC: Governance Is Compilation meta◑L-003 L-015
2026Buyer Artificial Intelligence-Enabled Environmental Governance and Supplier Environmental Controversies: An Organizational Information Proce ·L-016
2026But How Would AI Agents Run a Town's Economy? ·L-010 L-012
2026BurnRiSc: Toward Non-Invasive Burnout Screening in Open Source from Public Repository Signals meta◑L-001 L-013
2026Building and Governing AI Systems: Advancing Social Workers' Roles across the Technology Industry, Human Service Organizations, and Pol meta◑L-001 L-003
2026Bubbles vs. Baselines: Token Valuation and Institutional Capital in PoS Networks under EIP-1559 ◑
2026Broken Gates: Re-evaluating Web Bot Defenses in the Age of LLM Agents ◑L-008 L-012 L-013
2026Bridging the Post-discharge Gap: A Traceable Multi-agent Framework for Safe and Continuous Care ◑L-006 L-003
2026Bridging the Gap Between Stable Marriage and Stable Roommates: A Parameterized Algorithm for Optimal Stable Matchings ·L-005
2026Bridging Predictions and Interventions: An Integrated Framework for Automated Decision-Systems ◑L-004 L-008
2026Bridging Formal and Perceived Fairness: Development of an Interdisciplinary Framework in Algorithmic Decision-Making meta·L-004 L-019
2026Bridging AI Risk Frameworks: Reconciling ISO/IEC 42001, the NIST AI Risk Management Framework, and the EU AI Act into a Uni ed Governance Ta meta◑L-001
2026Bounded Sovereignty and the Control Tax: Pricing AI Oversight When the Deployer Does Not Own the Model ◑L-001 L-006
2026Boundary-Induced Apparent Risk Aversion in Nonergodic Multiplicative Growth ◑L-006
2026Bonded Recourse for Smart-Contract Settlement of Compensable Agent Side Effects ·L-003 L-012
2026BoilerSketch: A TA-Supervised, Diagram-First GenAI Practice for Structured Diagrams in CS1/Early CS2 meta◑L-003
2026BizSage: A Self-Evolving Multi-Agent Framework for Business Research with Efficient Knowledge Retrieval ◑L-003 L-006
2026Bioinfoysis Technical Report ·L-005 L-012
2026BioTIER: A Refusal Benchmark for Targeted Biological Risk Mitigation ◑L-004 L-013
2026Bimanual Robot Manipulation via Multi-Agent In-Context Learning ◑
2026Biased Agents, Extreme Beliefs: Motivated Reasoning Under Competing Models ◑L-004 L-008
2026Beyond the Text: Verifying That Agent-Written Papers Are Backed by Their Artifacts ◑L-012 L-015
2026Beyond the PPAD hardness of Auto-bidding Auctions ◑L-009 L-002
2026Beyond the Margin: Targeted Conservation and Household Water Demand ◑L-004 L-008
2026Beyond the Algorithm: Professional Experiences and Perceptions of AI Bias ◑
2026Beyond headcount and human capital: The Effective Cognitive Population as a decomposable capacity unit for AI-era planning meta◑
2026Beyond Training: A Feasibility Taxonomy for Inference-Time AI Governance meta·L-001 L-002
2026Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows ◑L-006 L-012
2026Beyond Third-Person Audits: Situated Interaction Auditing for User-Centered LLM Bias Research ◑
2026Beyond Stability: Improved Efficiency Guarantees for $\alpha$-Stable Matchings ◑L-001 L-005
2026Beyond Self-Resolution: Settlement Factorization for Robust Natural Language Mechanism ◑L-004 L-008 L-012
2026Beyond Scaling: Self-Evolving LLM Agents for Hardware Kernel Optimization via an Experience-Driven Workflow and Experience Graph Memory ◑L-005 L-012
2026Beyond Runtime Enforcement: Shield Synthesis as Defensibility Analysis for Adversarial Networks ●
2026Beyond Prediction: Longitudinal Reasoning in EHR-Integrated Clinical AI ◑
2026Beyond PUE: A Local Impact Audit Framework for Data Center Environmental Accountability ◑L-004
2026Beyond Memory: A Transactional Continuity Kernel for Long-Lived AI Agents ◑L-006
2026Beyond Lower Quota: Avoiding Overrepresentation in Multi-Winner Voting ◑
2026Beyond Line of Sight: Hybrid Validation of V2X Collective Perception in Complex Scenarios ◑L-006
2026Beyond Cultural Knowledge: Evaluating Arabic Cultural Appropriateness of Large Language Models ◑L-004
2026Beyond Component Testing: Validating Agentic AI Systems ◑L-008 L-012
2026Beyond Compliance: A Proposed Framework for Ethical Governance of Student Data in Learning Analytics meta◑L-003
2026Beyond Categories of Caste: Examining Caste Bias and Morality in Text-to-Image AI Models ◑
2026Beyond Byzantine: An Organizational Consensus Algorithm for Self-Interested Agents Under Information Asymmetry ◑L-003 L-006
2026Beyond Bayesian Nash: Learning Minimax-Regret Equilibria for Adversarial Team Games under Asymmetric Information ◑L-009
2026Beyond Accuracy: How Humans Evaluate Legally Correct but Socially Controversial Legal Advice from Machines ◑L-004 L-013
2026Beyond AI-Generated Labels: Watermarking, Co-Creation, and Conflation of AI-Generation with Disinformation ◑L-004
2026Beyond "I Can't Help With That": How Child Safety Experts Evaluate AI Chatbot Safety ◑L-012
2026Beware of Geeks Bearing Gifts: Building True EU Frontier AI Sovereignty ◑
2026Betting Against Integrity: Identifying Match-Fixing Through In-Play Market Dynamics ◑L-004
2026Benchmarking Open-Weight Foundation Models for Global AI Technical Governance meta◑L-004 L-013
2026Benchmarking LLM Compliance with China AI Generated Content Regulations ◑L-001 L-003
2026Benchmark-Based Comparative Assessment of Publicly Benchmarked Indian Foundation Models: A Capability and Evaluation-Maturity Framework meta◑L-001
2026Belief Coevolution in a Social Network of Generalist and Specialist Large Language Models ◑L-010 L-011 L-013
2026Before the Pull Request: Mining Multi-Agent Coordination ◑
2026Bayesian Partner Modelling enables Adaptive Replanning for LLM Coordination ◑L-010
2026Bayesian Fair Division: Truthfulness in Picking Sequence with Correlated Valuations ◑L-010
2026Bayesian Belief Layer for Controllable Opinion Dynamics in LLM Agents ◑L-004 L-017
2026Battery Bidding under Price Uncertainty in Wholesale Electricity Markets ◑
2026Bank Runs With and Without Bank Failure ◑L-010
2026Bandit Social Learning with Exploration Episodes ◑
2026BLINDSPOT: A Benchmark for Safety and Refusal Calibration in Long-Horizon Tool-Using Agents ◑L-001 L-013
2026BANDMAS: Causality-Inspired Semantic Packet Scheduling for Bandwidth-Efficient Multi-Agent Collaboration ◑L-006 L-008
2026Axiomatic Tools for Separating Electoral Control Types, with Applications to Concrete Systems ◑
2026Avatar: Toward Autonomous End-to-End Orchestration of Scientific Workflows using LLMs ·L-005 L-003
2026Autoreflection: How Agentic Strange Loops Turn Human Culture into AI Infrastructure ◑L-011
2026Autonomous Research Agents: A Survey of AI Scientists and the Verification Gap meta◑L-003 L-013
2026Autonomous Repair for Multi-Agent Systems via Monte-Carlo Tree Search meta◑L-005 L-012
2026Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment ◑L-005 L-011
2026Autonomous Event-Driven Multi-Agent Orchestration for Enterprise AI at Scale ◑L-001 L-008 L-012
2026Autonomous Cyber Defense in Connected Vehicles: A Multi-Agent Approach to V2X Security ◑L-002 L-008
2026Automating and Scaling Behavioral Scientific Research on AI Agents meta◑L-013
2026Automating Geometry-Intensive Compliance Checking in BIM: Graph-Based Semantic Reasoning Framework ◑
2026Automatic Hard Example Synthesis with Multi-Level Agentic Data Curation ◑L-004 L-008
2026AutoResearch: An Execution-Grounded Multi-Agent Framework for Reliable Research Workflow Automation ◑L-001 L-008
2026AutoGym: Blueprint-First Generation of Verifiable Agent Gyms ◑L-001 L-005
2026Auto Research for Materials: Auditable AI-Scientist Workflows with Held-Out Transfer meta◑L-004 L-012 L-001 L-015
2026Auditing the Synthetic Memoir: Measuring Scene-Level Confabulation in LLM-Generated Autobiography Against the Documented Record of the Life ◑L-004 L-013
2026Auditing Institutional Heterogeneity for Generative AI in Patient Education: A Large-Scale Study of 102 US Transplant Handbooks ◑L-004 L-015
2026Auditing Game-Theoretic Measures of Strategic Reasoning in LLMs ◑L-004
2026Auditing Emergent LLM-Agent Collaboration through Cooperation-Obligation Coupling ◑L-011
2026Auditing Belief-Conditioned LLM Agents in Hidden-Information Social Deduction Games ◑L-011
2026Auditing Alignment Controllability in LLMs via Political Axes meta◑L-013
2026Auditable Emergency Triage for Maternal and Newborn Care in India ·L-013
2026Auctioning Attention on Social Networks ◑L-004 L-012
2026Auction Design with a Bit of Information ◑L-008 L-014
2026Auction Design with ROI-Constrained Bidders: Truthfulness and Revenue Maximization ◑L-004 L-008
2026Attention Asymmetry in AI Layoff Discourse on X: A Computational Analysis of Capital vs Labour Amplification ◑L-004
2026Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity ◑L-014
2026Asymptotic Max-Min Fair Allocation with Random Utilities ◑L-019
2026Asymmetric Discourse Homogenization and Shared Language Technology: Evidence from Reddit ◑L-003
2026Assessment Design in the GenAI Era: The X1-X2-X3 Assessment Pattern for Testing Students' AI Literacy, Learning Outcomes, and Reflectio meta◑L-004
2026Assessing Company Contributions to Societal Resilience: Extending the Societal Capacity Assessment Framework to Agentic AI ◑L-001 L-005
2026AspisAI: A Canonical, Machine-Interpretable Governance Framework for Automated Multi-Standard Compliance Monitoring ·L-014
2026Asking Questions the Right Way: A Multi-Agent Conversational System for Prompt Formulation in Complex Task Resolution meta◑L-012
2026Ascending Auctions for Combinatorial Markets with Frictions: A Unified Framework via Discrete Convex Analysis ·L-019
2026Aryabhata 2: Scaling Reinforcement Learning for Advanced STEM Reasoning ◑
2026Artificial Intelligence: Supply-Chain Chokepoints and the Reach of Industrial Policy ◑L-001 L-014
2026Artificial Intelligence as Game ChGame Changer in Cybersecurity: What We Learned in 2025-2026, and how this is relevant for Africa ◑
2026Artificial Institutions: How Institutional Design Shapes LLM Simulations ◑L-003 L-015
2026Are LLMs becoming similarly creative? Evidence from three years of models ◑L-001 L-013
2026Are LLMs Bad at Moral Reasoning? ◑
2026ArcticSwarm: Deferring Early Consensus in Long-Horizon Multi-Agent Research ·L-010 L-013
2026Approximating Optimal Welfare in Complementary Allocation under Decentralized Information ◑L-006
2026Approximately Efficient Multidimensional Bilateral Trade ·L-004 L-008
2026Applied and Filtered: An End-to-End Algorithmic Fairness Audit of A Public Employment Agency meta◑L-012 L-014
2026Applications of Risk Science to AI Fairness Evaluation: Principles, Challenges, and Best Practices meta◑
2026Anticipatory Human Oversight of Agentic AI: A Philosophical Account meta◑L-005 L-012 L-013
2026Answering Without Referring: How AI Search Rewrites the Web's Economic Bargain ◑L-001
2026Anchored Sequential Deliberation ◑L-006 L-010
2026Analyzing the Interaction of Optimal Strategies in Mean-Payoff Bidding Games ◑L-009
2026Analysing drivers and interdependencies in European electricity markets using XAI ◑
2026An improved bound for the randomized metric distortion problem ◑
2026An evolutionary model of animats with VLM-based subjective evaluation ◑L-004 L-008
2026An approach to systemic risks of AI through the lens of emergence, collective action problems, and externalities ◑L-009 L-003
2026An Investigation of the NeurIPS and ICML 2025 Position Tracks meta◑L-013
2026An Explainable Agentic System for Detection of Conversational Scams with Summary-Based Memory ◑L-008 L-012 L-004
2026An Evolutionary Computation Framework for Multi-Agent Q-Learning with Mean-Field Environmental Feedback ◑L-003 L-006
2026An Ethical eValuation Agent (EeVA): Results of a Proof-of-Concept Test on a Prototype Agentic-like Workflow to Assist Ethical Deliberations ◑
2026An Empirical Study of Coordination Mode as the First-Class Citizen in From-Scratch Multi-Agent Coding ◑L-003 L-006
2026An Axiomatic Foundation for Decisions with Counterfactual Utility ◑L-004 L-008
2026An Automata-Based Approach to Games with $\omega$-Automatic Preferences ◑L-019
2026An Actionable Diagnosis of Multilingual, Multi-Agent Planning Failures ◑L-003 L-015
2026Almost Envy-Freeness for Additive Mixed Manna with Entitlements: Deterministic and Randomized Guarantees ·L-019
2026All Games Have Equilibria ◑L-009
2026Aligning with Lived Experience: Heterogeneous Benefits of Fine Tuning in Mental Health Support Generation ◑L-004
2026Aligning LLM-Simulated and Human Examinees for Psychometric Calibration: A Cognitive Diagnostic Profiling Approach ◑L-004 L-008
2026Algorithmic Monocultures in Hiring ◑L-004
2026Algorithmic Collusion and the Complexity of Information-Value-Free Equilibria ◑L-002 L-009
2026Algorithm-Driven Information Similarity and Collective Action: An Experimental Study ◑L-010
2026Algorithm Validation as a Policy Audit: Evidence from Race-blind Charging ◑L-004 L-014
2026Agri-SAGE: Simulation-Grounded Multi-Agent LLM for Context-Aware Agricultural Advisory Generation ◑L-004 L-011
2026AgonAlpha: Autonomous Alpha Discovery via Prompt Economy and Scalable Agentic Search ◑L-004 L-008
2026Agon: An Autonomous Large-Scale Omnidisciplinary Research System Built on Prompt Economy ◑
2026Agents that Matter: Optimizing Multi-Agent LLMs via Removal-Based Attribution ◑L-005
2026Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation ◑L-008
2026Agentomics: Economic Foundations for the Valuation, Attribution, and Pricing of AI Agents in Human-AI Workflows ●
2026AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection ◑L-012 L-013
2026Agentic-J: An AI Agent for Biological Microscopy Image Analysis ◑
2026Agentic evolution of physically constrained foundation models ◑L-008 L-011
2026Agentic Societies Need a Social Harness ◑L-006 L-017
2026Agentic Security: A Systematization of Tools, Failure Modes, and Design Laws for LLM-Driven Penetration Testing ◑L-001 L-013
2026Agentic Scaffolding Amplifies Sycophantic Behavior in Large Language Models ◑L-004 L-012
2026Agentic Literacy Debt: A Structural Problem the AI Literacy Field Has Not Yet Named ◑L-003 L-004
2026Agentic ERP: Multi-Agent Large Language Model Architecture for Autonomous Enterprise Resource Planning ◑L-012 L-003
2026Agentic Delegation and the Language Frontier of Software Developers: A Model and Evidence from Claude Code on GitHub ◑L-001 L-012
2026Agentic Analysis for Agentic Infrastructure: An LLM-Powered Pipeline for Comparative Governance of DAO and Corporate AI Protocols ◑L-001 L-003
2026Agentic AI: User Empowerment or Enclosure? ◑L-006 L-010 L-014
2026Agentic AI-enabled discovery across large-scale sleep physiology ◑L-008 L-012
2026Agentic AI and Pedagogical Best Practice: The Tension Between Automation and Learning ◑
2026Agentic AI Orchestration of Heterogeneous Economic Models for Rapid, Multi-scenario Analysis of Energy Crises ◑L-008 L-004
2026Agentic AI Networking for Heterogeneous Unmanned Aerial Systems in Low-Altitude Wireless Networks ◑L-010 L-006
2026Agentic AI Enhances Physician Trust in Clinical Decision Making ◑L-007
2026Agentao: A Governed Local-First Runtime for Tool-Using LLM Agents ◑L-012 L-008
2026AgentSociety: Incentivizing Agentic Social Intelligence ◑L-003
2026AgentSociety 2: An Integrated Research Environment for Executable Social Science meta◑L-003
2026AgentRadio: Passive Awareness for Long-Horizon Multi-Agent Collaboration ◑L-006
2026AgentJet: A Flexible Swarm Training Framework for Agentic Reinforcement Learning ◑
2026AgentHijack: Visual Patch Attacks on Multimodal Computer-Use Agents ·L-012
2026Agent Team Work Zone: An Automated, Persistent Workspace for Long-Lived Coding Agent Teams ◑L-012 L-008
2026Agent System Operations: Categorization, Challenges, and Future Directions ◑
2026Agent Flight Recorder: Tamper-Evident Audit Trails with On-Chain Anchoring for Long-Horizon Tool-Using Agents ·L-015
2026Agent Delivery Engineering Predictive Reliability Framework ◑L-013 L-007
2026Agent Behavioral Contracts II: Certifying Compositional Reliability Without Assuming Independence ◑L-013
2026AgensFlow: A Coordination-Policy Substrate for Multi-Agent Systems ◑L-003 L-001
2026Age of LLM: A Strategic 1v1 Benchmark for Reasoning, Diplomacy and Reliability of Large Language Models under Fog of War ◑
2026Against Explainable Artificial Intelligence In Law: Why Justifiable Ai Matters. A Credit Scoring Example ◑L-004 L-013
2026Affective AI Safety: The Missing Piece in LLM Safety ◑
2026Aethel: A Reproducible Graph-Retrieval Framework for Multi-Hop Financial Diligence ◑L-003
2026Advisor career stage and PhD advisee outcomes meta◑
2026Adverse Effects of V2V Adoption on Road Safety ●
2026Adversarial Data Modeling in Epidemiology ◑L-008 L-004
2026Adversarial Causal Intervention Falsification ◑L-011
2026Adversarial Attacks in Multi-Agent LLM Pipelines: Unveiling Structural Vulnerabilities in Agentic AI Architectures ◑L-009 L-014
2026Advancing Health Equity through Multi-Level Fairness in Health Informatics ◑L-004
2026Adoption Telemetry: Measuring Enterprise AI Adoption from Production Signals meta◑L-010
2026Adjudicated Captioning: Multi-Agent Alignment Scoring and Consensus-Distilled Beam Arbitration for Strict Zero-Shot Image Captioning ◑L-004 L-012
2026Addressing Trust in AI Systems through Education: A Didactic Perspective meta·L-007
2026Addressing Negative Commons Governance with Positive Commons Principles ◑
2026Adaptive Memory and Reflection Multi-Agent System for Medical Question Answering ◑L-011
2026Adaptive Incentive Design in Dynamic Principal-Agent Problem via Kernelized Bandits ◑L-008 L-004
2026Adaptive Contracts for Cost-Effective AI Delegation ◑L-004 L-008
2026Adaptive Capitulation: A Structural Failure Mode of LLM Responses in Vulnerability Contexts ◑L-004 L-012
2026Adaptive Bandit Algorithms for Contextual Matching Markets ◑
2026Adaptive Arena-based Contestable Argumentative Network-of-Experts for Open-Ended Care Plan Coordination ◑L-012
2026Ad Insertion in LLM-Generated Responses ◑L-012 L-008
2026Accurate in space, unreliable in time: how LLMs represent national cultural change ·L-013
2026Accounting for intra-household joint travel in agent-based transport simulations ◑L-006
2026Accountable AI with Grounded, Faithful, Consistent, Actionable Rationales: A Case Study in Clinical Trial Matching with VERDICT meta·L-004
2026Accountability Asymmetry and Structural Trust in Autonomous AI Systems ◑L-007 L-001
2026Access to Live AI Advice and Behavior Under Risk: An Incentivized Experiment ◑L-017 L-021
2026AV-AIVAT: 74x Cheaper Agent Evaluation with Certified Anytime-Valid Stopping in Imperfect-Information Games meta◑L-002
2026AUDITFLOW: Executable Symbolic Environments for Structured Financial Reporting Verification ◑
2026ARCHER: Agentic Rule and Compliance Harness for Executable Regulations ◑L-003 L-014
2026ARC: Autonomous Robotics Compliance A Three-Layer Governance Architecture for Deployed Autonomous Systems ·L-007 L-001
2026APMM: Automated Parlay Market Maker ◑L-004 L-008 L-006 L-019
2026AOC-CBS: Anytime-Optimal Continuous-time Conflict-Based Search for Generalised Multi-Agent Path Finding ◑L-006
2026AIvilization v0: Toward Large-Scale Artificial Social Simulation with a Unified Agent Architecture and Adaptive Agent Profiles ◑L-003 L-010 L-011
2026AISPA: User-Centric System Prompt Auditing for Large Language Model Applications meta◑L-004
2026AI-written admissions essays are widespread but penalized ◑L-004 L-014
2026AI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation ◑L-004 L-008
2026AI-GRACE: A Use-Case Operationalization Framework for Agentic AI: From Organizational Objectives and Obligations to Deployment Capabilities meta◑L-001 L-005
2026AI-Farol: Co-Evolutionary Dynamics in a Multi-Agent Two-Sided Learning Framework ◑L-010 L-009
2026AI-Driven Feedback Systems, Digital Labour, and Silent Quitting: Transforming African Workplaces ◑L-003 L-016
2026AI-Driven Assessment of Human Tutors: Linking Training Performance to Real-Life Practice ●
2026AI-Assisted Peer Review Across Research Communities: From Reviewer AI Policies to LLM Review Quality meta◑L-013
2026AI, Trust, and Teaming: The Humans-as-Handlers Approach for Autonomous and Opaque AI Systems ◑L-007 L-001
2026AI systems out-persuade expert humans ●
2026AI literacy over tool design: a mixed-methods study of scaffolded versus unrestricted generative AI in programming education meta◑L-001 L-003
2026AI for Quality Assurance in the Operating Room ◑
2026AI and the Research Team meta◑
2026AI and the Economy: An Economic Examination of Production, Distribution, Firms, Labor, and Welfare meta·
2026AI agents reshape consensus formation in human groups ·L-017
2026AI agents in Algorithmic Electricity Markets: On the Emergence of Tacit Collusion ◑L-008
2026AI Watermark Evidence Fails Forensic Readiness: An Empirical Evaluation ◑L-002 L-014
2026AI Use Conditions and Perspective Diversity in Ethical Decision-Making: A Pilot Study of Human Reasoning Processes meta◑L-004 L-012
2026AI Transparency: Governance Compliance or Stakeholder Requirements? meta◑L-013 L-015
2026AI Tour Meeting: Group Travel Planning by LLM Agents ◑L-010
2026AI Tokenomics: The Economics of Tokens, Computation, and Pricing in Foundation Models ◑
2026AI Systems as Digital Public Goods -- Evidence and Recommendations from a Multi-Stakeholder Assessment meta◑L-005
2026AI Sovereignty: A Qualitative Model of Strategic Competition as AI Becomes an Instrument of National Power ◑
2026AI Security Priorities: A Field-Wide Agenda meta◑L-001 L-013
2026AI Loss of Control Incident Management: Response & Resilience ◑
2026AI Integrity: Defending Against Backdoors and Secret Loyalties ◑
2026AI Financial Advice: Supply, Demand, and Life Cycle Implications ◑L-004 L-008
2026AI Economist Agent: An Agentic Framework for Model-Grounded Economic Analysis with RAG, Knowledge Graphs, and Large Language Models ◑L-012
2026AI Coding Agents in Social Science: Methodologically Diverse, Empirically Consistent, Interpretively Vulnerable ◑
2026AI Assistance for Human Review of Default Judgments ◑L-012 L-013
2026AI Alignment through a Game-theoretic Lens: A Survey ◑L-004 L-008 L-011
2026AI Alignment and Fiduciary Obligation ◑L-004 L-012
2026AI Agents Do Not Fail Alone:The Context Fails First ◑L-012
2026AI Adoption in S&P 500 Firms ◑L-001 L-010
2026AGORA: Can Deliberation and Governance Gates Absorb Participation Bias in Transit Planning? ◑
2026ADIAS: Automated Design of Interactive Agentic Systems ◑L-012 L-016
2026ABRA: An algorithm which cannot converge to low-quality Nash equilibria ·L-009
2026AAAI-26 Dual Submissions: Novel Challenges meta◑L-001
2026A traffic management system for large and heterogeneous vehicles in narrow industrial environments ·L-006 L-010
2026A three-dimensional typology of agency for advanced AI systems ◑L-008 L-011 L-012
2026A prelude to the theory of Real-World Asset (RWA) Tokenization ◑L-001
2026A phenomenon of AI-conformity: how algorithms change human moral decision-making ●L-011
2026A latent dimension of Condorcet's jury theorem for multiple AI advisers ◑L-010
2026A hierarchical memory architecture overcomes context limits in long-horizon multi-agent computational modeling ◑L-011
2026A Workflow-Aware Serving Layer for Agentic Applications meta◑L-002 L-006 L-008 L-012
2026A Vocabulary for Multi-Agent Automated Research Systems meta◑
2026A Virtuous AI is an Existential Risk ◑
2026A Universal Cliff and a Design Fingerprint: Cross-Section Defect Detection Under LLM Orchestration ◑L-002 L-003
2026A Two-Tier Perspective on Inference-Time Parallelism in Multi-Agent LLM Systems ◑L-006 L-010
2026A Tractable Continuous-Time Model for Designing Interventions for Time-Inconsistent Agents ◑L-004
2026A Threshold Exceedance Framework for CBRN Uplift Evaluation in Frontier Language Models ◑L-004 L-009
2026A Theory-Guided LLM Pedagogical Agent for STEM+C Scaffolding Without Over-Reliance ◑
2026A Theory of Network Games Part 1: Utility Representations ◑
2026A Theoretical Framework for Parallel Lifelong MAPF Using Group Decentralized Planning ◑L-006 L-010
2026A Technical Taxonomy of LLM Agent Communication Protocols ◑
2026A Taxonomy of Real-World Asset Tokenization for Blockchain-Based Financial Infrastructure ◑
2026A Task-Oriented Multi-Agent Framework for Complex Wearable Health Analysis ◑L-012 L-017
2026A Simple Polynomial-Time EFX Repair for Cancelable Valuations ◑L-006
2026A Sheaf Framework for Strategic Multi-Agent Systems: From Consensus to Nash Equilibria ◑
2026A Self-Evolving Default Action for Cooperative Tasks with Continuous Action Space ◑L-002 L-008
2026A Role-Based Multi-Agent Model for Climate Adaptation Deliberation Across Living Labs ◑L-010 L-003
2026A Repeated-Game Framework for Incentives in Decentralized Infrastructure Protocols ◑L-001 L-007
2026A Randomized $\frac32$-Approximation for Strategic Facility Location on a Circle ·L-001
2026A Protocol for Evaluating the Accessibility of AI-Generated Educational Materials: Prompt Configuration, WCAG-Derived Criteria, and Content meta◑L-004
2026A Proposal for an Agentic AI Architecture to Support Multi-Domain Decision-Making in the Brazilian Armed Forces ◑L-012
2026A Practice Auditing Framework for Large Language Model Use: Collective Empiricism, Pseudo-Rational Cognition, and Governance of AI-Generated meta◑L-012 L-013
2026A Pinch of SFT, A Dash of RL: When Reinforcement Learning Helps Long-Horizon Advertising Agents ◑L-008 L-012
2026A Pigouvian Matchmaker Mechanism for De-escalating the AGI Race ◑
2026A Note on the Strategic Confinement Problem ●
2026A New Theory of Value for Post-AGI Economics ◑L-004 L-008 L-006
2026A Neuro-Symbolic Approach to Strategy Synthesis for Strategic Logics ●
2026A Multi-Agent system for Multi-Objective constrained optimization ◑
2026A Minimax Perspective on Almost-Stable Matchings ·
2026A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance ◑L-007 L-015
2026A Method for Learning Value Systems in Generative AI ◑L-004 L-008
2026A Mathematical Framework for Legacy, Governance, and Decision Integrity in Enterprise AI ·L-005 L-015
2026A Large Language Model-Driven Agent-Based Modeling Framework with Multi-Round Communication for Simulating Vaccine Opinion Dynamics ◑L-008
2026A Hybrid Agentic AI Framework for Intelligent Supply Chain Analytics ◑L-006
2026A Guided Inquiry Approach to Students Co-Designing Generative AI Course Policies meta◑L-003
2026A Graph-Based Reinforcement Learning Framework for Structured Drift Diagnosis and Recovery in Autonomous LLM Agents ◑L-011 L-013
2026A Framework for Using and Evaluating LLMs as Surrogate Experts in Security Surveys: Reliability, Bias, and Implications meta◑L-013
2026A Four-Axis Trustworthiness Benchmark for LLM-as-Judge in Principle-Based Regulation ◑L-004 L-008
2026A Formal Methodological Framework for Auditing Robustness and Fidelity in Explainable AI: From Application to Trust Certification ◑L-004 L-008
2026A Dual-Process Perspective on Nudge Susceptibility in LLM-Based GUI Agents ◑L-008 L-012
2026A Deployed Hybrid Vehicle-in-the-Loop Platform for Validating Cooperative Perception ◑L-007 L-001
2026A Decision-Centered Reference Architecture for Trustworthy Agentic Commerce ◑L-008 L-014
2026A Contextual-Bandit Oversight Game with Two-Sided Informational Asymmetry ◑L-008 L-012
2026A Constant Metric Distortion Protocol for Approval Voting Given Plurality Polls ◑L-006 L-004
2026A Consolidated Game Framework for Cooperative Defense Against Cross-Domain Cyber Attacks in Satellite-Enabled Internet of Things ◑L-003 L-014
2026A Comparative Study of MCP and A2A for Inter-Agent Coordination in LLM-Based Systems meta◑L-003 L-006
2026A Comparative Analysis of Institutional and Course Generative AI Policies within Higher Education: Implications for Instruction in Computing meta◑L-003
2026A Channel-Boosted Multi-Agent System with Iterative Consultation for Document Sensitivity Classification ◑L-012 L-014
2026A Calculus of Discernment: Decision-Relevant Insight, Sequence Value, and Forgetting as Higher-Order Learning meta◑L-004
2026A Benchmark for Strategic Auditee Gaming Under Continuous Compliance Monitoring ◑L-004 L-008 L-014
2026A Bayesian Correlated Equilibrium for Early Insider-Threat Detection ·L-003
2026(Whose defaults?) Is artificial intelligence reorienting archaeological methods? meta·
2026(Human) Attention Is (Still) All You Need: Human oversight makes AI-assisted social science reliable ●
2026'AI Alignment' Encompasses Competing Technical Priorities ◑
2026''Bless his heart... he thought all we did was push a button": Understanding Worker Challenges with U.S. Election Technology ◑L-003 L-015
2026$\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems ◑L-007
2026"The New Era of Tech-Enabled Traceability": Tensions between the FDA's Data Governance Vision and the Lived Realities of Food ◑
2026"Nobody Did This": Contribution, Originality, and Accountability in Agent-Mediated Collaboration ◑L-003 L-015
2026"Looking for Something Weird to Happen": How Humans Sustain AI Agent Novelty Amid Semantic Collapse ◑L-003 L-011
2026"If I Had to Buy Just ONE: Galaxy S26 Ultra": Auditing AI-Generated Product Recommendations ◑L-004 L-016
2026"Death by a thousand taxonomies?": AI Risk Classification In Practice meta◑L-013 L-015
2026"Are you an AI?" Analyzing Client Suspicion of AI Use in Crisis Counseling ◑
2025Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agents ◑L-012
2025When Should AI Follow? Task Structure and Joint Adaptation by Human and AI Agents ◑L-012
2025When Networks Substitute for Outcome Surveillance? A Substitution-Complementarity Framework for Behavioral Signals in Predictive Monitoring ◑L-006
2025When Assisting One Disempowers Another ◑L-012
2025When AI Agents Compete for Jobs: Strategic Capabilities and Economic Dynamics of AI Labour Markets ◑L-001 L-010
2025What shifts threshold distributions in social contagions? ·L-010 L-003
2025Unsolvability and Beyond in Many-To-Many Non-Bipartite Stable Matching ·L-005
2025Universalization and the Origins of Fiscal Capacity ◑L-003 L-006
2025TinyTroupe: An LLM-powered Multiagent Persona Simulation Toolkit ◑
2025The Value of a Chance: Task Concentration and Talent Discovery in Team Production ◑L-001 L-006
2025The Theory of Strategic Evolution: Games with Endogenous Players and Strategic Replicators ◑L-005
2025The Missing Variable: Socio-Technical Alignment in Risk Evaluation meta◑L-002 L-007
2025The Efficiency Costs of Information Assurance in AI-Enabled Labor Markets: Evidence from LinkedIn's Policy Changes ◑L-003 L-006
2025The Bidding Games: Reinforcement Learning for MEV Extraction on Polygon Blockchain ◑L-008 L-014
2025Testing Fairness with Utility Tradeoffs: A Wasserstein Projection Approach ◑L-004 L-006
2025Strategic Preemption Under Shared Catastrophic Risk: The Suicide Region and the Race to Artificial General Intelligence ●L-009
2025Strategic Analysis of Just-In-Time Liquidity Provision in Concentrated Liquidity Market Makers ◑
2025Some economics of artificial superintelligence ◑
2025Societal Alignment Frameworks Can Improve LLM Alignment ◑
2025Simultaneous AlphaZero: Extending Tree Search to Markov Games ◑L-009 L-002
2025Simulating Macroeconomic Expectations in Survey Experiments with LLM-based Economic Agents ◑
2025Shift Bribery over Social Networks ◑
2025Shachi: A Modular, Controllable Framework for LLM-Based Agent-Based Modeling of Emergent Collective Behavior ◑
2025Scale-robust Auctions ◑L-004 L-005
2025Satisfactory Budget Division ◑
2025Safety Degradation in AI Agents ◑L-008
2025RobustFlow: Towards Robust Agentic Workflow Generation ◑L-001 L-005
2025Reinforcement Learning and Consumption-Savings Behavior ◑L-004 L-008
2025Regret Minimization for Piecewise Linear Rewards: Contracts, Auctions, and Beyond ◑L-004 L-002
2025ReclAIm: A Multi-Agent Framework for Monitoring and Correcting Performance Decline in Medical Imaging AI ◑
2025Recidivism Prediction, Peer Effect Estimation, and Prediction-Powered Inference with LLM Text Measures ◑L-004 L-012
2025Quantigence: A Multi-Agent Framework for Post-Quantum Security Analysis on Commodity Hardware meta◑L-001 L-003
2025Quadratic Programming Approach for Nash Equilibrium Computation in Multiplayer Imperfect-Information Games ◑L-009 L-010
2025Proportional Committee Elections with Positive and Negative Votes ◑L-003
2025Pay for The Second-Best Service: A Game-Theoretic Approach Against Dishonest LLM Providers ◑L-001 L-008
2025Oranits: Mission Assignment and Task Offloading in Open RAN-based ITS using Metaheuristic and Deep Reinforcement Learning ◑
2025Optimizing Bidding Curves for Renewable Energy in Two-Settlement Electricity Markets ◑L-006 L-009
2025Operational Reliability of Deadline-Constrained Task Assignment: Stability Characterization and Adversarial Routing ◑L-002 L-012
2025Online Fair Division with Additional Information ◑
2025On the Smart Coordination of Flexibility Scheduling in Multi-carrier Integrated Energy Systems ◑L-006 L-003
2025On the Coordination of Value-Maximizing Bidders ◑L-003
2025On characterization and existence of constrained correlated equilibria in Markov games ◑L-003 L-006 L-009
2025Noncooperative Coordination via a Trading-based Auction ◑L-010 L-009 L-014
2025Nine Raters, One Index: Carrying LLM Disagreement into Labour-Market Estimates meta◑L-004
2025New allocation rule based on graph structures and their application to economic phenomena ◑L-004 L-006
2025Moving Out: Physically-grounded Human-AI Collaboration ◑
2025Metric Distortion of Small-group Deliberation ◑L-006 L-010
2025Measuring Agents in Production ◑
2025Market-Driven Equilibria for Distributed Photovoltaic Panel Investment ◑L-010 L-009
2025MASPRM: Multi-Agent System Process Reward Model ◑L-008 L-012
2025MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems ◑
2025MARIC: Multi-Agent Reasoning for Image Classification ◑
2025Localizing Preference Aggregation Conflicts: A Graph-Theoretic Approach Using Sheaves ◑L-003
2025Lark: Biologically Inspired Neuroevolution for Multi-Stakeholder LLM Agents ◑L-011 L-016
2025JustAct: A Framework for Auditable Multi-Agent Systems Regulated by Inter-Organisational Policies ◑L-003 L-015
2025Iterative Vickrey Auctions via Linear Programming ◑L-002
2025Iterative Negotiation and Oversight: A Case Study in Decentralized Air Traffic Management ◑
2025Integrated Noise and Safety Management in UAM via A Unified Reinforcement Learning Framework ◑L-001 L-009
2025Individualized Algorithmic Advice as a Strategic Signal on Competitive Markets ·L-017
2025How Generative AI Adoption Alters the Demand for Cognitive and Social Skills Within Roles: A Skill-Centric Analysis ◑L-004 L-008
2025Government Transparency and Innovation: Evidence from Wireless Products ◑L-001 L-013
2025Generative AI for Analysts ·L-004 L-016
2025Game-theoretic Regulated Decentralized Coordination for Airspace Sector Overload Mitigation ◑L-006 L-010
2025Game Theory in Social Media: A Stackelberg Model of Collaboration, Conflict, and Algorithmic Incentives ◑L-004 L-012
2025From Checklists to Clusters: A Homeostatic Account of AGI Evaluation meta◑L-004 L-007
2025Food4All: An Agentic Framework and Benchmark for Food Resource Navigation with Adaptive User Understanding ◑
2025Feasible Action Space Reduction for Quantifying Causal Responsibility in Continuous Spatial Interactions ◑
2025Fair Document Valuation in LLM Summaries via Shapley Values ◑L-004
2025Eliciting Truthful Feedback for Preference-Based Learning via the VCG Mechanism ◑L-008
2025Efficient Decentralized Learning of Generalized Quantal Response Equilibrium ◑
2025Effective Game-Theoretic Motion Planning via Nested Search ◑L-009
2025Distributional welfare impacts and compensatory transit strategies under NYC congestion pricing ◑L-004
2025Distributed primal-dual algorithm for constrained multi-agent reinforcement learning under coupled policies ◑L-006 L-010
2025Discovering Expert-Level Nash Equilibrium Algorithms with Large Language Models ●
2025Deterministic-Allocation and Anonymous Joint Advertising in E-commerce Platforms ◑
2025Data as Commodity: a Game-Theoretic Principle for Information Pricing ◑L-004 L-006
2025Computing Evolutionarily Stable Strategies in Imperfect-Information Games meta◑L-001 L-009
2025Complexity Beyond Incentives: The Critical Role of Reporting Language ◑L-004 L-008
2025Complete strategy spaces reveal hidden pathways to cooperation ◑L-010
2025Compensation-based risk-sharing ◑
2025Comparing Apples to Oranges: A Taxonomy for Navigating the Global Landscape of AI Regulation meta◑L-003
2025Cognitive Chain-of-Thought (CoCoT): Structured Multimodal Reasoning about Social Situations meta◑
2025Chisme: Heterogeneity-Aware Gossip Learning ◑L-006 L-010
2025Characterizing Nash Equilibria in Zero-Sum Games: A Physics-Inspired, Parallelizable Approach with a Linear Number of Gradient Queries ◑
2025CTC: The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning ◑L-005
2025CORRECT: COndensed eRror RECognition via knowledge Transfer in multi-agent systems ◑
2025Blameocracy: Causal Rhetoric in Politics ·L-004
2025Beyond Leaders and Laggards: A Typology of Renewable Energy Adoption Trajectories with Evidence from Off-Grid Communities ◑L-001 L-003 L-010
2025Benefits and Limitations of Communication in Multi-Agent Reasoning ◑L-006
2025Behavioral Inference at Scale: The Fundamental Asymmetry Between Motivations and Belief Systems meta◑L-004 L-012
2025Are Final Market Prices Sufficient for Information Aggregation? Evidence from Last-Minute Dynamics in Parimutuel Betting ◑L-004 L-006
2025Approximate Proportionality in Online Fair Division ◑L-004
2025An Explanation-oriented Inquiry Dialogue Game for Expert Collaborative Recommendations ◑
2025Algorithmic Prompt Generation for Diverse Human-like Teaming and Communication with Large Language Models ◑
2025Algorithmic Fair Contracts ◑L-004 L-008
2025AI Behavioral Science ◑
2025ABIDES-MARL: A Multi-Agent Reinforcement Learning Environment for Optimal Execution with Endogenous Liquidity ◑L-009
2025A Unified Framework and Comparative Study of Decentralized Finance Derivatives Protocols ◑L-001 L-005 L-009
2025A Survey on Hypergame Theory: Modelling Misaligned Perceptions and Nested Beliefs for Multi-Agent Systems ◑L-003
2025A Brief AI Literacy Intervention Does Not Significantly Reduce Over-Reliance and Increases Under-Reliance on ChatGPT: A Randomized Study ◑L-016
2025A Bayesian framework for opinion dynamics models ◑L-010
2024When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments ◑
2024The traffic concentration effects of urban navigation services ◑L-004 L-012
2024The Impact of the General Data Protection Regulation (GDPR) on Online Usage Behavior ◑L-012 L-015
2024The Impact of Generative AI on Collaborative Open-Source Software Development: Evidence from GitHub Copilot ◑L-001 L-010
2024The Contribution of XAI for the Safe Development and Certification of AI: An Expert-Based Analysis meta◑L-007
2024The Condorcet Dimension of Metric Spaces ◑L-004
2024Structural and Algorithmic Results for Stable Cycles and Partitions in the Roommates Problem ·L-005
2024Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework ◑L-003 L-012
2024Reforming an Unfair Allocation by Exchanging Goods ◑L-006
2024Recursive Joint Simulation in Games ●
2024Quantifying Inefficiency meta◑L-004
2024Online Optimization Algorithms in Repeated Price Competition: Equilibrium Learning and Algorithmic Collusion ●
2024Near-Optimal Mechanisms for Resource Allocation Without Monetary Transfers ◑L-006
2024Incentive Design with Spillovers ◑L-006
2024How Do Regulations and Technology Affect Service Allocation and Market Structure? ◑L-001 L-003
2024Highway Congestion Reduction through Reinforcement Learning Based Eulerian Headway Control ◑L-008 L-012
2024Game Theoretic Liquidity Provisioning in Concentrated Liquidity Market Makers ◑
2024Fairness and Incentive Compatibility via Percentage Fees ◑L-004 L-008
2024Dynamic Resource Allocation with Karma: An Experimental Study ◑
2024Decentralized Best-Response-Based Learning in Two-Player Zero-Sum Stochastic Games: A Finite-Sample Analysis ◑L-009 L-010
2024Complement or substitute? How AI increases the demand for human skills ◑
2024Competition and Diversity in Generative AI ●
2024CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark ◑
2024Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges ◑L-002 L-004
2024Attribution and Persuasion: The Paradox of Interpretable AI ◑L-012
2024Artificial Intelligence, Data and Competition ◑L-004 L-008
2024Algorithmically Fair Maximization of Multiple Submodular Objective Functions and Implications to Constrained Fair Division ◑
2024A minimal model of money creation under regulatory constraints ◑L-006
2023The Power of Static Pricing for Reusable Resources ·
2023Spatial community structure impedes language amalgamation in a population-based iterated learning model ◑L-003 L-010
2023Incentivizing Forecasters to Learn: Summarized vs. Unrestricted Advice ◑L-008 L-004
2023Incentives to Offer Algorithmic Recourse ·L-004 L-012
2023Data Market Design through Deep Learning ·L-004
2023Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents ◑L-010
2022Strategyproofness-Exposing Descriptions of Matching Mechanisms ·L-004 L-019
2022Local Media and the Shaping of Social Norms: Evidence from the Ebola outbreak ·L-003
2022Is Decentralized Finance Actually Decentralized? An Interdisciplinary Framework Integrating Network Theory, Agent-Based Simulation, and Long ◑L-001 L-006
2022Information Design in Smooth Games ·L-004 L-019
2021Representation and Invariance in Reinforcement Learning ◑L-005 L-011
2021Prosecutor Politics: The Impact of Election Cycles on Criminal Sentencing in the Era of Rising Incarceration ◑L-004 L-013
2021Machine Learning Classification and Portfolio Construction: Does the Loss Function Matter? ◑L-004 L-008
2021Equity Promotion in Online Resource Allocation ·L-006 L-019
2021Constraining to Motivate ◑L-012 L-014
2021Cognitive Ability and Tournament Entry: Evidence from Three Korean Populations ◑L-010
2021Bidders' Responses to Auction Format Change in Internet Display Advertising Auctions ◑L-001 L-010
2020Seeing Through Color Blindness: Social Networks as a Mechanism for Discrimination ◑L-003 L-006
2011Rao, *Tempo* (2011) meta●
1986Hamming, "You and Your Research" (1986) meta●
1979Iverson, "Notation as a Tool of Thought" (1979) ●
1973Rittel & Webber — "Dilemmas in a General Theory of Planning" (1973) ●
1962Kuhn — The Structure of Scientific Revolutions (1962/2012) meta●
πρσϕ-Formalism, Computing on Protocols — process calculus over informational fields and trace partitioning ·
iFixit's development of a repairability scoring standard with NSF, potentially a candidate for protocolization analysis. ·
Working paper on selection pressures affecting protocol design and adoption. ·
Twitter thread or article discussing protocol polity concepts ·
Trainverse story collection for analyzing temporal friction and clock collisions in narrative protocol scenarios. ·
The Sciences of the Artificial ●
Survey or resource on bisimulation theory and its applications. ·
Story exploring themes of departure and constraint in a protocol-bound environment. ·
SPLADE semantic search methodology used by Elicit for research automation. ·
Research on total cost of ownership metrics in systems analysis. ·
Research on ontology change and evolution in formal systems using bisimulation and process algebra. ·
Research article on giant isopod metabolism and survival strategies under food scarcity ·
Protocolized agent interface for observational capture on organizational protocol changes. ·
Peer-reviewed study on conserved optimal rhythm in animal acoustic communication within the neural delta range ·
Ocean rover manufacturer providing distributed autonomous sensing platform. ·
Ocean monitoring company using distributed rover networks for climate data collection. ·
Model Context Protocol 2026 release candidate with stateless core architecture. ·
Memory Glossary entry by Kai Kreutler containing philosophical distinctions between storage/recollection, Platonic anamnesis, and etymologie ·
Mathematical framework paper on protocol theory using informational fields and sigma-algebras to model agentic perception. ·
Link: πρσϕ-Formalism, Computing on Protocols — process calculus over informational fie ◑L-001
Link: iFixit's development of a repairability scoring standard with NSF ◑L-001 L-003
Link: Working paper on selection pressures affecting protocol design and adoption. ◑L-001 L-003
Link: W3C Credentials Community Group session transcript on Mixed Digital Martial Arts ◑L-003
Link: Vitalik's recent essay on balance of power and governance structure evolution. ◑L-003
Link: Vitalik's essay on dense jungles and the persistence principle that 'Big X is here to stay for all X' ◑
Link: Venkatesh Rao's work on multi-speed systems and temporal dynamics ◑
Link: Venkatesh Rao's 'Tempo' (2011) on multi-speed systems and temporal dynamics. ◑
Link: The Protocol Institute's core essay on inventing new nature through protocolized ◑
Link: Survey or resource on bisimulation theory and its applications. ◑L-002
Link: Simulation demonstration of stigmergic exploration-exploitation balance ◑
Link: Simon's Sciences of the Artificial—hierarchy as complexity management mechanism. ◑
Link: Sachin's recent essay on pre-commodification ◑
Link: Ricci paper on stigmergy and coordination mechanisms in complex systems. ◑
Link: Research on total cost of ownership metrics in systems analysis. ◑L-002
Link: Research on ontology change and evolution in formal systems using bisimulation and process algebra ◑L-002
Link: PDF on multi-agent systems and coordination mechanisms potentially relevant to stigmergic frameworks ◑
Link: Ocean monitoring company using distributed rover networks for climate data colle ◑
Link: Nick Szabo's papers on cryptocurrency and protocol design. ◑
Link: Model Context Protocol 2026 release candidate with stateless core architecture. ◑L-001
Link: Memory Glossary entry by Kai Kreutler containing philosophical distinctions betw ◑
Link: Mathematical framework paper on protocol theory using informational fields and sigma-algebras ◑L-001
Link: Leslie Lamport's body of work on distributed systems, formal methods, and cryptographic protocols ◑
Link: IEEE ISCAS paper on UnifiedBus interconnect protocol for computing systems reduc ◑L-001
Link: Humboldt's notebook entry integrating Simon and Hamming readings with daemon-layer protocol work ◑L-003 L-001
Link: Humboldt notebook entry exploring the ossification/formalization distinction. ◑
Link: Heylighen paper on stigmergy ◑
Link: Google Research blog post on Gemini Enterprise Agent Platforms and Agentic RAG ◑
Link: Essay exploring the nature and mechanics of protocols. ◑L-001
Link: Brian Arthur's 'The Nature of Technology' ◑
Link: Blog post analyzing communes as institutional sites for coordination through 'chore protocols' ◑L-003 L-001
Link: Article on stigmergy and AI applications in business contexts with potential fic ◑
Link: Article on machine studying and the construction of epistemic states rather than retrieval ◑
Link: Article on Ethereum as a protocol polity exploring governance and coordination structures ◑L-001 L-003
Link: Annelies Gamble's piece on 'breakeven point' and rethinking AI ◑
Link: Adjacency, or How a Protocol Becomes Nature ◑L-001 L-002
Link: ACM Turing Award lectures as a rich source for new nature thinking, computing phenomenology, and grounded candidate laws ◑
Kraken Robotics ocean robotics platform and systems. ·
Idea: Zero-knowledge proofs enforce verifiability without information transfer, creating asymmetric measurability constraints where the veri ◑
Idea: Whoever controls document edits between sessions controls which philosophies get formalized in an AI system ◑
Idea: When protocols span multiple groups with distinct interaction structures, the globally-decreasing quantity should be reframed as cross ◑L-003 L-006
Idea: When agents receive different subsets of a protocol transcript, the protocol fragments into multiple partial objects with divergent me ◑L-003
Idea: When agents receive different subsets of a protocol specification, the same message creates different local optionality states and int ◑L-003 L-007
Idea: What appears acausal in protocols (focal points, commitment devices) is actually present-time correlation and structure ◑
Idea: Varying agentic memory profiles offer an analytical avenue for decomposing which protocol properties arise from specific memory archit ◑
Idea: Variety reorganization driven by protocol boundaries differs mechanistically from Parkinson's law ◑
Idea: Variety may expand to absorb available potential in systems, analogous to how work expands to fill available resources ◑
Idea: Variety expands to absorb available potential, analogous to Parkinson's law but driven by protocol boundary gradients rather than ◑
Idea: Variety displacement through protocol design may manifest as speciation or differentiation rather than elimination ◑
Idea: Variety displaced by protocol compression does not spill over chaotically but instead differentiates into stable protocol variants and ◑
Idea: Variety displaced by protocol boundaries doesn't disappear but differentiates into stable niches ◑
Idea: Variance in protocol interpretations across implementers should decay as a function of installed base size ◑L-002
Idea: Unregulated street food markets in developing-world old cities demonstrate stable, non-innovative systems that are ossified but not fo ◑L-001
Idea: Uniforms function as substrate for protocols rather than standalone systems; organizational structure determines uniform differentiati ◑L-001
Idea: Uncompressed variety doesn't spill over randomly but differentiates into stable protocol niches ◑
Idea: Trust in safety-critical protocols may accumulate based on age and stability rather than technical correctness ◑
Idea: Translating between different sensor modalities in robotics requires ontological translation, not just functional swapping, because in ◑
Idea: Three distinct temporal domains operate simultaneously in coordination failures ◑
Idea: Three competing temporal modes can coexist: protocol time (shared, enforced), social time (dyadic, negotiated), and psychological time ◑
Idea: The visual layout of Talmudic pages—with commentary surrounding a shrinking central text as material instantiation of stigmergic accre ◑
Idea: The structure revealed through different integration paths connects to questions about possible futures, anticipation, and distance ◑
Idea: The request for a fully integrated system of differential equations suggests that protocol phases should be expressible as coupled con ◑
Idea: The ratio of formalized versus informal structure in protocols may have lawlike properties rather than being merely contingent ◑L-005
Idea: The question of whose temporal frame wins in a protocol narrative is a fundamental philosophical and political stake in how protocol s ◑
Idea: The operational distinction between protocols and procedures: protocols are typed spaces of valid moves that a clerk *expects*, wherea ◑
Idea: The operational distinction between a clerk that expects specific moves versus one that merely permits a range of moves ◑
Idea: The non-mathematizable interior is not fully residual but has structure worth theorizing ◑L-003 L-006
Idea: The non-mathematizable interior is not fully residual and contains positive stru ◑L-003
Idea: The mathematical characterization of what approaches zero in protocol opinion convergence requires precise definition ◑L-001
Idea: The label itself performs protocol work—the framing or naming of a concept actively shapes its legitimacy and coordination effects, no ◑
Idea: The interesting parts of protocol theory may resist full mathematization because ◑L-003
Idea: The interesting aspects of protocols may resist full mathematization because informal load-bearing elements are lost in formal transla ◑L-003
Idea: The instinct to treat variance in model outputs as a reliability problem (better model selection, variance reduction) may miss the und ◑L-003
Idea: The informal load-bearing elements of protocols may resist full mathematical formalization; Fermi-style back-of-envelope accounting ma ◑L-003
Idea: The formal/informal ratio in mature protocols may be measurable and convergent ◑
Idea: The distinction between private meaning (individual interpretation) and public time (protocol-enforced coordination) creates the centr ◑
Idea: The dirty/pure distinction in protocol theory is a real methodological fork, and there exist intermediate positions beyond the two ste ◑L-003
Idea: The boundary between mathematizable and non-mathematizable protocol elements is itself a mathematical object ◑L-003
Idea: The attendant's process term in π-calculus formalization encodes what it is actively waiting for ◑
Idea: The TCP handshake can be modeled as a sequence of state-space collapses ◑L-001
Idea: The ABCDE counselling model is limited as a stigmergy case because it operates as single-actor linear coordination ◑
Idea: The ABCDE counseling model exemplifies this potential stigmergy ◑
Idea: The 'Away' metavariable represents a modeling choice that deviates from standard process term definitions but captures real- ◑
Idea: Temporal structure—protocols as time-adding mechanisms and blockchain as digital time ◑
Idea: Technology disruptions create punctuated equilibrium patterns in human protocols ◑
Idea: Tech disruptions operate as a potent source of punctuated equilibrium in human protocols ◑
Idea: Talmudic page layout physically embodies stigmergic accretion ◑
Idea: Talmudic page layout itself functions as stigmergic trace, with commentary visibly accreting around a shrinking textual core ◑
Idea: TDD's efficacy stems from tests being cheaper than production code, but in protocol formalization this relationship often inverts ◑
Idea: TCP handshake stages (SYN, SYN-ACK, ACK) each reduce the cardinality of consistent states ◑L-001
Idea: TCP handshake should be modeled as a hybrid stochastic system combining discrete symbolic transitions with continuous dynamics ◑
Idea: TCP handshake modeled as successive DOF collapse: SYN reduces connection space to one candidate, SYN-ACK adds shared sequence number t ◑
Idea: TCP handshake dynamics can be modeled as a coupled system of Langevin equations ◑
Idea: TCP handshake (SYN, SYN-ACK, ACK) can be modeled as a system of stochastic differential equations where each phase is a Langevin equat ◑
Idea: TCP handshake (SYN, SYN-ACK, ACK) can be formalized as a sequence of state space contractions ◑L-001
Idea: Systems that generate new state spaces and protocols faster than competitors are still operating within protocol-based frameworks ◑
Idea: Systems exhibit memory integration lag—knowledge can be acquired but not yet embedded into operational decision-making or institutiona ◑
Idea: Systems dynamics equations integrated give protocol theory; protocol theory integrated gives New Nature; the unit of interest across t ◑
Idea: Strangers-to-insiders ratio in protocols could be modeled using cell growth/death dynamics ◑
Idea: Stigmergy may make latent memory actionable without requiring living consciousness ◑
Idea: Stigmergy may be describable through generative thresholds—implicit coordination ◑
Idea: Stigmergy is fundamentally about agents reading and writing an environment to coordinate without direct meeting ◑
Idea: Stigmergy encodes past behavior as environmental traces (pheromone trails, worn paths) ◑
Idea: Stigmergy demonstrates the fundamental balance between exploration and exploitation ◑
Idea: Stigmergy can be modeled as threshold-based response to accumulated integrated s ◑
Idea: Stigmergy as DOF reduction through environmental memory: agents respond to integ ◑
Idea: Stigmergic protocols for distributed coordination (e.g., robot map exploration via blockchain pheromones) ◑L-001
Idea: State representation for TCP handshake as z(t) = (q(t), x(t), η(t), ω(t)) ◑
Idea: Standardization specifications like GD&T (Geometric Dimensioning and Tolerancing) ◑L-004
Idea: Stability and innovation-suppression can emerge through informal mechanisms without formalization ◑L-004
Idea: Speed of animal and human acoustic communication may function as a fundamental token or protocol-level constraint governing 'prot ◑
Idea: Single gene mediating deep-sea isopod gigantism trade-off suggests active maintenance rather than drift accumulation ◑L-001
Idea: Sigma-algebras establish measurability constraints at specific time slices to prevent algorithms from accessing future information, th ◑
Idea: Sequence space collapse (S₀ → S₁ → S₂ → S₃) through handshake stages with exponential convergence to ESTABLISHED as retransmission dam ◑L-001
Idea: Schelling points and commitment devices appear acausal but actually rely on present-time facts ◑
Idea: Roberts Rules of Order simultaneously constitutes legitimate decision-making (procedurally) and functions as a trust mechanism by maki ◑
Idea: Roberts Rules of Order may not be constitutive of meetings and decisions, since meetings and decisions can occur without them ◑
Idea: Required understanding (mutual comprehension of protocol meaning) is itself a quantity that may approach zero, competing with optional ◑
Idea: Recipe pages across domains (food, code, protocols) can be tracked over time to reveal convergence patterns as a proxy for protocol st ◑
Idea: Recipe communities represent a natural laboratory for testing formalization ratchet dynamics ◑L-001
Idea: Question of whether consciousness or active renewal is required to maintain stigmergic trails over time ◑
Idea: Pure protocol theory seeks context-independent invariants, but observed phenomena are irreversibly path-dependent ◑L-003 L-006 L-007
Idea: Protocols that reliably reward proxy-gaming over actual goals represent a structural constraint ◑L-004
Idea: Protocols survive by maintaining environmental variety matching capacity (Ashby's Law) ◑L-007
Idea: Protocols require primitively unambiguous units that cannot be locally reinterpreted ◑
Idea: Protocols reduce degrees of freedom relative to their threat model, and arms races generate new state spaces but each move remains a p ◑
Idea: Protocols optimized for converting surplus into KTLO (keeping the lights on) rather than growth extraction may exhibit greater durabil ◑
Idea: Protocols may settle into stable mixed regimes combining formal and informal components, with an emergent ratio that could be lawlike ◑
Idea: Protocols may have formalized components (queue lengths, message counts, timing) ◑L-003
Idea: Protocols may have directionality analogous to the 2nd law of thermodynamics, where interpretive degrees of freedom collapse irreversi ◑L-003
Idea: Protocols may function primarily as temporal anchors, converting ambiguous or simultaneous states into ordered sequences that enables ◑
Idea: Protocols may exhibit thermodynamic directionality (asymmetry like entropy increase) ◑L-002
Idea: Protocols govern interactions across multiple heterogeneous groups and individuals ◑L-003 L-006
Idea: Protocols function as time-binding mechanisms and certain entities accrete disproportionate coordination weight ◑
Idea: Protocols function as time-adding mechanisms, with certain entities accruing disproportionate coordination weight ◑
Idea: Protocols function as mechanisms for establishing shared temporal coordination ◑
Idea: Protocols exist on a spectrum from mechanical/automatic execution (never interpreted) ◑L-003
Idea: Protocols differ from procedures in that protocol participants (clerks) maintain expectations about peer behavior derived from protoco ◑L-001
Idea: Protocols differ from procedures in that clerks/attendants have expectations baked ◑L-001
Idea: Protocols differ from procedures by typing the space of valid next moves ◑
Idea: Protocols compress variety by design, and unabsorbed variety surfaces as workarounds and shadow processes rather than being eliminated ◑
Idea: Protocols compress variety by design, and unabsorbed variety does not disappear ◑
Idea: Protocols can ossify through repetition and sunk costs rather than adoption pressure ◑L-001
Idea: Protocols can be analyzed as transformations of gestalt flow-like behaviors into explicit, decomposed structures through the process o ◑L-003
Idea: Protocols are temporal artifacts that constitute sequential structure (before/after/not-yet) ◑L-002
Idea: Protocols act on probability distributions over futures rather than single determined states ◑
Idea: Protocolization serves as a legibility mechanism that makes hidden coordination costs visible ◑L-006
Idea: Protocolization makes hidden coordination costs (friction, maintenance burden, failure modes) legible across distributed systems, func ◑L-006
Idea: Protocolization is fundamentally a decentralization process: taking gestalt flow ◑L-003
Idea: Protocolization functions as a mechanism for decentralization, following a pattern of centralizing until coordination costs become uns ◑L-006
Idea: Protocolization functions as a legibility mechanism that makes hidden coordination costs visible ◑L-006
Idea: Protocol value exhibits local emergence without global conservation—analogous to entropy locally decreasing while globally increasing ◑L-006
Idea: Protocol theory's utility includes making visible which coordination layers bear ◑L-006
Idea: Protocol theory's utility includes functioning as a TCO (Total Cost of Ownership) accounting framework ◑L-006
Idea: Protocol theory's primary utility may be as a TCO accounting mechanism that makes visible the distribution of coordination costs ◑L-006
Idea: Protocol theory's primary utility is accounting: making visible which protocol layers bear coordination costs that simpler analys ◑L-006
Idea: Protocol theory's primary utility is accounting: identifying which protocol layers bear costs that simpler analyses overlook, ena ◑L-006
Idea: Protocol theory should route stakeholders to both mathematical and non-mathematical tools depending on use case, with a 2x2 matrix map ◑L-003 L-006
Idea: Protocol theory may exhibit an inverted thermodynamic property: interpretive deg ◑L-002
Idea: Protocol theory itself can function as a utility for estimating total ownership costs ◑L-006
Idea: Protocol theory formalization could use narrative testing and progressively harder test layers instead of traditional reality testing ◑
Idea: Protocol theory faces a methodological choice between operating as 'dirty' (empirical, constraint-aware) or 'pure' ◑L-003
Idea: Protocol theory could be used to estimate systems' total cost of ownership, extending protocol analysis into resource and sustain ◑L-006
Idea: Protocol theory could adopt an ethnomethodological approach where the phenomenon ◑L-003
Idea: Protocol theory can route inquiry toward both mathematical and non-mathematical tools ◑L-003 L-006 L-007
Idea: Protocol reception and interpretation may vary across agents depending on which portions of the protocol each agent receives ◑L-003
Idea: Protocol ossification and formalization are separable axes—stability and inertia ◑L-001
Idea: Protocol optionality is not a global quantity but a distribution across group-local configuration spaces ◑L-006
Idea: Protocol opinion convergence should be modeled as variance decay in implementer interpretations ◑L-002
Idea: Protocol markets exist where short-term pricing diverges from underlying value, with convergence occurring over longer time horizons. ◑
Idea: Protocol interventions that alter system parameters propagate through integral levels with observable effects on stocks or commitments ◑L-001
Idea: Protocol interventions alter system dynamics themselves, demonstrating that protocols are not external constraints but active shifters ◑
Idea: Protocol intervention that introduces threshold-dependent parameter changes ◑L-001
Idea: Protocol intervention narrows reachable state space, reducing degrees of freedom ◑
Idea: Protocol intervention as dimension collapse ◑L-001
Idea: Protocol implementation systems can evolve the protocol itself in practice, making them fundamentally different from manufacturing pro ◑L-001
Idea: Protocol friction emerges from collisions between competing temporal systems (clocks) ◑
Idea: Protocol frameworks can be formalized as atemporal constructs measuring state at specific time slices, where causality is not a requir ◑
Idea: Protocol fiction could be understood as the narrative collision or friction between competing temporal systems ◑
Idea: Protocol execution can be modeled as iterative state space collapse ◑L-001
Idea: Protocol execution can be formalized as threshold-triggered state transitions wh ◑
Idea: Protocol equivalence and classification might be established through bisimulation analysis ◑
Idea: Protocol differs from procedure in that protocol involves a clerk/attendant that actively expects certain guest moves ◑
Idea: Protocol definitions should establish feature control frames (analogous to GD&T) ◑L-001
Idea: Protocol decisions that operate on probability distributions over futures are not truly acausal but rather conditioning on present pro ◑
Idea: Protocol decisions can act on probability distributions over future states rather than accessing actual future information ◑
Idea: Protocol boundaries create potential differences that drive speciation directionally ◑
Idea: Protocol behavior can be exhaustively characterized by tracing interactions with a minimal number of agents ◑
Idea: Protocol arts faces a disconnect between formalized memory systems and dynamic systems ◑
Idea: Protocol analysis could incorporate systems thinking around total ownership cost ◑L-006
Idea: Protocol adoption may require an optimal corridor or phase-in period where users gradually acclimate to new systems ◑
Idea: Protocol adoption failure modes may correlate with gap between technology expectations and actual capabilities ◑
Idea: Protocol adoption exhibits variance decay as a function of installed base, with implementation divergence collapsing over time ◑L-003
Idea: Procedure has a fixed sequence, while protocol operates over a typed space of possible values ◑
Idea: Prediction markets, Byzantine fault tolerance, and Bayesian networks embed acausal information by acting on probability distributions ◑
Idea: Prediction markets function as attempts to pre-commodify time, creating a temporal economy before full commodification and stratificat ◑
Idea: Pre-commodification structures shape behavior through environmental arrangement ◑
Idea: Pre-commodification may operate through stigmergic mechanisms, similar to how maze walls coordinate behavior through environmental cue ◑
Idea: Population dynamics models (GR metrics, BESTDR) can be applied to protocol commu ◑
Idea: Pheromone trace decay rate functions as a tunable parameter for modulating colony active memory capacity and temporal dynamics ◑
Idea: Pheromone decay rate functions as a memory parameter with measurable impact on collective behavior in stigmergic systems ◑
Idea: Pheromone decay rate functions as a memory parameter with downstream effects on collective behavior in stigmergic systems ◑
Idea: Parliamentary procedure succeeds as a trust technology through legibility rather than cryptographic guarantees ◑L-003
Idea: Ouroboros represents a distinct maladaptive stigmergic mode: self-consuming persistence ◑
Idea: Ossification can occur through repetition and sunk costs without adoption pressure ◑L-001
Idea: Ossification as frozen internal variety while external variety grows may represent a requisite-variety failure in Ashby's sense ◑L-001 L-002
Idea: Ossification and formalization are orthogonal mechanisms rather than identical p ◑
Idea: Ossification and formalization are independent variables, not correlated—demonstrated by street food case study ◑L-001
Idea: Ossification and formalization are independent variables rather than correlated ◑L-001 L-003
Idea: Organizations must develop adaptive strategies to handle the same question producing materially different answers depending on which A ◑L-003
Idea: Organizations face a coordination problem when the same question generates different answers across models, times, and effort levels ◑L-006
Idea: Organizational enablement requires not only acknowledging that AI systems produce non-deterministic outputs, but also framing this var ◑
Idea: Organisms solve resilience-extraction tradeoffs by converting surplus energy into size; protocols may employ analogous 'cockroach ◑L-002
Idea: Optionality—the total legitimate behavioral variation across all implementations ◑L-001 L-002
Idea: Optionality should be treated as a structural property of configuration space rather than aggregated from individual agents ◑
Idea: Optionality is aggregated from distributed agents, raising the question of how to measure and formalize this aggregation in protocol s ◑
Idea: Opt-in KTLO (Keep The Lights On) protocols that convert surplus energy into maintenance ◑L-001
Idea: Opt-in KTLO (Keep The Lights On) protocols as an alternative to extraction-pattern platforms ◑
Idea: Observation that empirical laws with predictive power (Moore's Law, Bell's Law) operate as probabilistic constraints in new ◑
Idea: Non-mathematical tools can produce mathematical results ◑L-003 L-006
Idea: Non-mathematical tools (such as algorithmic/process descriptions) can produce mathematical results (equilibria, distributions, converg ◑L-003 L-006
Idea: New emergent protocol behavior must be grounded in the process terms of participating agents rather than arising spontaneously ◑
Idea: New Nature laws may not constitute a single unified level above protocol theory, but rather a family of distinct projections, each pri ◑
Idea: Near-kin species in an uncanny valley present danger precisely because surface behavioral similarity masks radically different selecti ◑L-001
Idea: Near-kin species exhibit behavioral grammar similarity with radical divergence i ◑L-005
Idea: Multi-agent debate systems can reach consensus while individual reasoning remains misaligned ◑L-003
Idea: Morphological similarity does not predict identity-scaffolding function ◑L-001
Idea: Morphological similarity between systems does not predict their identity-scaffolding function or social ecology outcomes ◑L-003
Idea: Models or frameworks can function as stigmergy for groups of humans, where discrete steps or artifacts within the model coordinate gro ◑
Idea: Mode-switching rather than optimization may be the signature of resilience in new nature systems ◑L-001
Idea: Memory model selection for agents has direct downstream effects on trace calculus and protocol behavior ◑
Idea: Mathematizable protocol components (queue lengths, message counts, timing) should be formalized first to identify the boundaries where ◑L-003
Idea: Mathematical formalization of protocol systems should route inquiry toward identifying where formal models break down, which is where ◑L-003 L-006
Idea: Many protocols exist in quasi-standardized but non-formalized states, governed by norms and best practices rather than explicit rules ◑L-001 L-003
Idea: Major protocol transitions (IPv4→IPv6) can reverse convergence and reopen interp ◑L-002
Idea: Maintaining or updating a studying philosophy may require context separation via subagents to avoid ossification of the epistemic appa ◑
Idea: Machine studying requires constructing epistemic states rather than retrieving p ◑
Idea: Low-power ocean sensor networks that accumulate data for later collection by autonomous vehicles ◑
Idea: Life internalizes essential functions at minimal cost through organellar solutions; LLMs may function as analogous organelles capturin ◑L-006
Idea: Legitimacy-borrowing can be deliberately engineered by attaching novel mechanisms to pre-ratified conceptual frameworks ◑
Idea: Legitimacy transfer occurs when novel coordination mechanisms are attached to already-ratified concepts to reduce adoption resistance ◑
Idea: Legitimacy transfer mechanism: novel coordination mechanisms inherit trust from established concepts through strategic labeling ◑
Idea: Legal glossators on Justinian's texts and Talmudic page layouts exemplify stigmergic text accumulation ◑
Idea: Laws in natural science span theory-based constraints (Newton), constitutive rel ◑
Idea: Labels function as load-bearing protocol infrastructure that carry pre-existing trust and authority ◑
Idea: Labels function as load-bearing infrastructure that carry pre-existing institutional authority rather than serving as mere decoration ◑
Idea: Labels and naming conventions function as load-bearing infrastructure that carry epistemic and institutional trust ◑
Idea: Inverted thermodynamic analogy — global optionality decrease permitting local spikes ◑L-006
Idea: Inversion of 2nd law analogy: if entropy increases globally/decreases locally, then protocol value goes to zero globally/spikes locall ◑L-002
Idea: Interpretive tolerance in protocols should preserve behavioral equivalence under relevant observations ◑L-002
Idea: Interpretive tolerance in distributed systems may function analogously to GD&T by preserving behavioral equivalence under relevant ◑L-006
Idea: Interpretive degrees of freedom—the number of legitimate ways to implement or contest a protocol—approach zero as protocols mature, bu ◑L-001 L-002
Idea: Interpretive degrees of freedom collapse toward zero under formalization, then re-expand via redesign ◑L-003
Idea: Integration of system dynamics equations yields protocol-level quantities (cumulative measures, total encounters) distinct from rate-l ◑
Idea: Integration levels can be formalized as successive state-space contractions ◑L-001
Idea: Integration does not globally collapse degrees of freedom; rather, different integration pathways yield different reductions while cre ◑
Idea: Integration can proceed via multiple pathways, each yielding different reductions ◑
Idea: Integration and subsequent protocol inequalities create conditions for increased agency ◑
Idea: Integrating systems dynamics equations yields protocol theory; integrating protocol theory yields New Nature; the unit of interest in ◑
Idea: Individual agent memory-based protocol representations can preserve local optionality while aggregated metrics show global optionality ◑L-006
Idea: In π-calculus formalization, an attendant's expectation of moves is operationally encoded as the process term itself ◑L-001
Idea: In trust-mechanism protocols like contract law, certificate authorities, and double-entry bookkeeping, the protocol functions by makin ◑
Idea: In coordination failures, the temporal standard that prevails is typically determined by enforcement mechanisms rather than epistemic ◑
Idea: In New Nature systems, the explorer and constructor are the same agent, making discovery structurally different from classical explora ◑
Idea: If agents hold different protocol fragments in memory, aggregate optionality can increase globally even as local formalization constra ◑L-006
Idea: Human cognitive and behavioral systems are fundamentally misaligned with the demands of digital coordination and extension, creating s ◑L-003
Idea: Higher-Order π-calculus enables modeling where new processes emerge from interactions of previous ones ◑
Idea: High-stakes protocol fiction occurs when enforcement clocks and meaning clocks are both legitimately active in the same scene ◑
Idea: Health checks function through stigmergy by creating observable problems at regu ◑
Idea: Health checks function through stigmergy by creating observable problem streams ◑
Idea: Health checks exhibit stigmergy: observable problems accumulate as coverage grows ◑
Idea: Health checks exemplify stigmergy: starting from zero and growing to n% population creates steady streams of observable problems that ◑L-002
Idea: Guest behavioral variation can be handled through composition choices and process term modeling ◑
Idea: Governance and maturity frameworks like CMM assume stable processes and knowledge sources, but are ill-equipped to handle constitutive ◑L-003
Idea: Globally-decreasing optionality may mask locally-increasing variance across agent populations ◑L-006
Idea: Gigantism-as-resilience and overhead-as-resilience represent the same energy trade-off manifested in different substrates ◑L-006
Idea: Geometric Dimensioning and Tolerancing (GD&T) as a model for formalizing interpretative variation in distributed systems ◑L-006
Idea: Future pedagogical approach should ground protocol theory formalism in simple examples and metaphors before presenting complex formali ◑
Idea: Formalization in π-calculus captures what were previously only informal descriptions ◑L-001
Idea: Falsification work—cataloguing failed candidates and tracking cases where CL-002 doesn't hold ◑L-006
Idea: Falsification work and cataloguing failed candidates constitutes the load-bearing research that distinguishes a law from an anecdote ◑L-003 L-006 L-007
Idea: Explore/exploit framing derives from mathematical properties of stationary distributions, but operative distinction is epistemic locat ◑L-003
Idea: Expectation in protocol can be formalized in π-calculus as a process term that e ◑
Idea: Examples of legitimacy transfer in cryptography: 'smart contract' borrows authority from contract law, 'wallet' le ◑
Idea: Examples of apparent acausal protocol decisions—prediction markets, retrocausal Bayesian calibration, Byzantine fault tolerance—are ac ◑
Idea: Examining systems dynamics equations and integrating both sides reveals concrete relationships between integration mechanisms and onto ◑
Idea: Escher's Drawing Hands exemplifies recursive trace logic where agents and traces mutually produce each other without religious fr ◑
Idea: Equipping the protocol framework (H,I) with a probability measure formalizes the structure of protocols that encode probability distri ◑
Idea: Entities at energetic viability edges develop distinct metabolic modes rather than scaling uniformly ◑L-006 L-007
Idea: Energy architecture (mitochondrial solutions to survival constraints) can serve as a model for understanding how new nature entities m ◑L-006 L-007
Idea: Electrification (Devine) and steam power (Hunter & Atack) transitions involved AI/mechanization changing internal work organizatio ◑L-005
Idea: Double integration of system dynamics yields protocol-level quantities: first integral produces cumulative stock, second integral prod ◑
Idea: Double integration of system dynamics (state → cumulative stock → anticipated accumulation over horizon) yields the commitment structu ◑
Idea: Double integration in dynamical systems encodes protocol-level commitment ◑L-001
Idea: Document-based epistemic architecture means whoever controls edits controls which philosophies get ossified ◑
Idea: Distributed sensor networks (ocean rovers) create coordination dependencies betw ◑L-001
Idea: Distinction between empirical regularities (Moore's Law, Bell's Law) and structural constraints that must hold regardless of ◑
Idea: Disagreement that SYN/SYN-ACK/ACK reduction adequately describes TCP integration ◑
Idea: Different integration paths function as distinct anticipatory stances, where selecting a projection over a system's state-space i ◑
Idea: Designers operate from belief systems while engineers configure and apply; both explore-exploit but with different epistemic foundatio ◑L-003
Idea: Deliberately developing load-bearing infrastructure through labeling is difficult and may not be manufacturable through direct effort ◑L-002
Idea: Cross-group behavioral variance (rather than single global optionality) may be the conserved or globally-decreasing quantity when prot ◑L-006
Idea: Credential and identity protocols may be prime sites for observing the formalization ratchet due to substrate mismatch ◑L-001
Idea: Cookbook and recipe revisions across domains track the moment when tacit practices formalize, potentially correlating with community s ◑L-003
Idea: Cookbook and recipe documentation across food, code, and other domains capture the moment practices transition from tacit to explicit ◑L-003
Idea: Contested opinion converges through exit rather than consensus—dissenters either capitulate or build alternative layers ◑L-001
Idea: Contested opinion converges rather than all opinion converging to zero; dissenters either capitulate or build alternative layers rathe ◑L-001
Idea: Contested opinion converges in protocols, but dissenters either capitulate or build alternative layers ◑L-002
Idea: Construction choices embed value-laden assumptions that constrain which laws can ◑
Idea: Constitutive functions create the possibility of an activity rather than merely regulating it ◑
Idea: Conservative potential fields may drive evolutionary expression in systems, analogous to how symmetries underlie conservation laws in ◑
Idea: Consensus, indifference, and erasure of contingency represent three distinct failure modes for protocols ◑L-003
Idea: Configurancy frameworks vary by velocity profile ◑
Idea: Conductor size standards in electronics design converged to pragmatic compromise ◑L-001
Idea: Community growth dynamics (strangers-to-insiders ratio) can be modeled using population biology frameworks ◑
Idea: Candidate protocol laws need to be typed as constitutive, theoretical, or stochastic before acceptance conditions can be meaningfully ◑
Idea: Candidate laws may need to be typed as constitutive, theoretical, or stochastic ◑
Idea: Blockchain is fundamentally a mechanism for adding time to prevent double-spending ◑L-003
Idea: Bisimulation as a framework for establishing behavioral equivalence between machine and human processes ◑L-003 L-006
Idea: Ashby's law of requisite variety should be examined for a potential corollary explaining dynamics of new nature systems ◑
Idea: Ashby's law of requisite variety implies that protocol design inherently compresses the variety a system must regulate, creating ◑L-002 L-003
Idea: Ashby's Law of Requisite Variety may provide a foundation for deriving a corollary law about information processing requirements ◑L-002
Idea: Architecture shapes law-discovery through the interaction of function and structure guided by embedded values ◑
Idea: Anticipatory stances toward futures function as projective filters that select certain dimensions of a system while discarding others ◑
Idea: Anticipatory stances correspond to distinct integration paths ◑
Idea: Anticipatory stance and temporal horizon selection function as projections that select and discard dimensions ◑
Idea: Agent-local optionality derives from the interaction of shared protocol fragments with heterogeneous prior interaction histories ◑L-006
Idea: Agent optionality from the same protocol fragment depends on prior interaction history ◑L-006
Idea: Agent memory model architecture (distribution and threshold parameters) directly determines behavioral outputs and trace calculus prop ◑
Idea: Agent access to research infrastructure is being blocked by infrastructure layer ◑L-001
Idea: Adversarial systems don't violate the framework but operate under different fitness criteria ◑
Idea: Adversarial systems (arms control, competitive markets, zero-sum games) actively expand state space and contest integrated traces rath ◑
Idea: Adversarial protocols do fit the DOF reduction framework when reframed ◑L-001
Idea: Adversarial protocols break stigmergy by enabling agents to erase or fake accumulated traces ◑
Idea: Adaptive degradation of security validation under load lacks a conserved invariant ◑L-002
Idea: Acronyms and their embedded step sequences may serve as stigmergy-like artefacts ◑
Idea: AI accelerates the timeline between protocol adoption and metric capture, compressing the lag that historically allowed systems time t ◑L-004
Idea: ABCDE model in counseling may function as a stigmergic artefact through its acronym and sequential structure ◑
Idea: A protocol that reliably rewards proxy-gaming over goal-achievement cannot escape this outcome regardless of engineering choices ◑L-004
Idea: A protocol object's essential nature may depend on something other than pure copying ◑
Idea: A collection of thematic concepts (Ocean, Mechsuits, Nutrient Substrates, Commons, Natural Software, Charismatic Megafauna, Ethereum C ◑
Idea: 4umd requests a fully integrated system of differential equations (not discrete state transitions) for TCP handshake modeling ◑
IEEE ISCAS paper on UnifiedBus interconnect protocol for computing systems reducing communication latency through unified memory addressing. ·
Humboldt's notebook entry integrating Simon and Hamming readings with daemon-layer protocol work. ·
Humboldt research output and findings repository on protocol dynamics. ·
Humboldt research notebook entry: schema rebuild around Double Freytag phases, resolving naming accumulation from session 1. ·
Humboldt notebook entry exploring the ossification/formalization distinction. ·
Google Research blog post on Gemini Enterprise Agent Platforms and Agentic RAG (Retrieval-Augmented Generation) ·
Farcaster reference discussing end-to-end proofs from transaction inclusion through execution to economic finality. ·
Essay series draft titled 'The Centaur's Nervous System' exploring unknown theoretical framework ·
Essay exploring the nature and mechanics of protocols. ·
Elicit's hybrid search solution using SPLADE and Vespa for staged retrieval and reranking. ·
Elicit research platform with growing capabilities and API access for research workflows ·
Discord discussion on human limits of context building as a constraint on AI adaptation ·
Deep Read Notes: Cosmos Vol. 1 — Alexander von Humboldt ●
Blog post analyzing communes as institutional sites for coordination through 'chore protocols' using economic and systems theory f ·
Article on the AI productivity paradox and its economic implications. ·
Article on stigmergy and AI applications in business contexts with potential fictional implications. ·
Article on machine studying and the construction of epistemic states rather than retrieval. ·
Article on Ethereum as a protocol polity exploring governance and coordination structures ·
Annelies Gamble's piece on 'breakeven point' and rethinking AI, potentially relevant to resolution and threshold concepts in ·
Adjacency, or How a Protocol Becomes Nature — exploration of protocol-objects and emergence across adjacent loci ·
Academic paper from University of Warsaw Press on a topic potentially related to ambiguity in perception or cognition. ·

Source: bibliography.yaml on GitHub.