research-document RFR-7F5AD9B0

Create a shared benchmark and decision threshold: Semantic Durability Across Interface Contexts

RFR-7F5AD9B0 — Create a shared benchmark and decision threshold: Semantic Durability Across Interface Contexts

Research opportunity

Create a shared benchmark and decision threshold for the claims or recommendations in “Semantic Durability Across Interface Contexts.”

Background

The originating artifact is accepted by the repository publishing inventory with status “active-research-package.” Its HY-CLF-002: Core-Plus-Context Model section provides the immediate evidence boundary.

Evidence trace

  • Origin document: content/projects/design-library/research-note/2026-07-21-semantic-durability-research-execution-package.md
  • Section: HY-CLF-002: Core-Plus-Context Model
  • Specific assumption challenged: The source's treatment in “HY-CLF-002: Core-Plus-Context Model” is sufficiently supported for its intended scope.
  • Supporting evidence excerpt: “Statement: A small invariant semantic core can remain stable while supplementary regions and interaction wrappers vary by context. Rationale: Domain meaning may be stable even when task-specific details and controls differ. Supporting evidence: Mature systems separate foundations from patterns; accessibility is shared…”
  • Reason this opportunity exists: How competing methods or implementations compare on a common corpus with explicit utility, safety, and cost thresholds.

Unknowns

  • How competing methods or implementations compare on a common corpus with explicit utility, safety, and cost thresholds.

Dependencies

Suggested REP and methodology

  • Suggested REP: REP-SEMANTIC-DURABILITY-ACROSS-INTER-BENCHMARK
  • Methodology: Curate representative cases, blind ground truth where possible, define baselines and uncertainty-aware metrics, and run reproducible benchmark evaluations.
  • Expected outputs: Versioned benchmark, baseline implementations, scoring harness, datasheet, and adoption decision rule.
  • Success criteria: Independent teams can reproduce scores and the benchmark discriminates meaningful quality differences without rewarding proxy gaming.
  • Recommended agent: research-engineering-agent
  • Estimated effort: Medium
  • Expected knowledge gained: How competing methods or implementations compare on a common corpus with explicit utility, safety, and cost thresholds.

Evaluation

Dimension Score (1–5)
Knowledge gain 4
Potential impact 4
Cross-project reuse 5
Scientific importance 5
Dependency cost 5
Implementation difficulty 3
Frontier score 392

Confidence in this opportunity: moderate. Status: Open.