Idea: Delta hook mechanism to bound attestation problem by surfacing only changed code

Idea: Delta hook mechanism to bound attestation problem by surfacing only changed code

Source: Discord #Discussion: 2026-06-08 (by 4umd) Date read: 2026-06-13 Connected to: H-002 Escalation: store-only Escalation rationale: Tactical implementation refinement; requires empirical validation on context-window pressure and audit surface reduction before hypothesis promotion.

What this is

Proposes a differential ingestion filter that limits attestation scope to modified codebase segments rather than entire knowledge contexts, reducing auditable surface area per verification cycle.

What I took from it

This idea targets a genuine compression problem in agent knowledge verification: full-context attestation creates exponential audit burden as systems scale. The delta hook mechanism is a boundary strategy—it doesn't solve attestation itself, but makes the problem tractable by shrinking what must be verified per cycle.

The idea sits in productive tension with attestation-as-coverage assumptions. It implicitly claims that continuous full audit is unnecessary if change-tracking is reliable—shifting from "verify everything" to "verify deltas + trust chain integrity." This is useful but incomplete: it trades verification breadth for dependency on prior ingest integrity. Opens a secondary question: under what conditions does delta-bounding preserve attestation guarantees? (i.e., is one corrupted delta enough to invalidate downstream trust?)

Research connections

• H-002: Direct refinement. Delta-bounding is a tactical instantiation of scope-reduction for attestation, the hypothesis already names.

Candidate laws or signals

CL-4umd-001: Attestation surface area inversely correlates with ingest frequency; systems optimizing for continuous verification must implement differential bounding or face quadratic audit cost.

(Worth capturing because it formalizes the cost–frequency trade-off and suggests a law-like relationship, but needs empirical measurement across real agent systems before promotion.)