research-document MS-AIRES-2026-0010
Knowledge-graph value experiment
Mission
Objective
Test whether a maintained research graph improves retrieval, handoff accuracy, duplicate detection, and research selection enough to justify maintenance.
Why this matters
A graph may compound repository learning or create expensive ontology debt.
Scope
Included: representative navigation/synthesis tasks, file/search baseline, minimal graph workflow, correctness, time, missed provenance, duplicates, and maintenance effort. Excluded: production graph infrastructure before value is demonstrated.
Existing context
research/frontier/records/RFR-010.md and knowledge-platform architecture.
Initial hypotheses
Graph assistance will produce replicated material gains on relationship-heavy tasks exceeding maintenance cost. Search parity falsifies adoption.
Required evidence
Benchmark tasks, relevance/answer judgments, baseline results, graph results, maintenance logs, and replication.
Constraints
Use stable corpus and identifiers; keep the prototype minimal and reversible.
Execution instructions
Predefine tasks and go/no-go threshold before building the graph slice.
Deliverables
Minimal prototype, benchmark results, cost-benefit analysis, and go/no-go decision.
Success criteria
Replicated material gains that exceed ongoing maintenance cost.
Stop conditions
Stop when search matches graph performance or ontology instability dominates.
Handoff requirements
Record adopt/reject scope and delete-or-preserve disposition for the prototype.