HayosoAiResearch portfolio

Study 14 · prospective evaluation

Evaluation design

Comparison of correction reliability under matched evidence, including state construction and total costs. The study remains in development.

Comparison conditions

Preserved A/B/C/D design
ArmAvailable contextDistinguishing treatment
AFull raw contextNo status labels or dependency-governed scheduling.
BIdentical full raw contextStatus labels, without dependency-governed scheduling.
CCompetitive semantic retrieval from raw evidenceAuthority and dependency labels excluded from the retrieval index.
DPremise-governed schedulingOperational state constructed independently of hidden grading references.

No comparative model results are established. Fixtures and readiness checks are development evidence. Comparison changes require a versioned amendment.

Development record

The successor A/B parity checker compares complete source text, identifiers and order, rejecting text changes the earlier check accepted. This demonstrates one checker correction, without establishing model-performance gains. The original 208 assertions have not been fully recovered and freshly reconstructed.

Controls remain necessary for initial-stage reliance, false completion, independent support, required reopening and valid no-change behavior. Separating construction from grading does not itself establish independent semantic labels.

Assessment requirements

Systems must construct and maintain correction distinctions without privileged answers, with full cost accounting.

  • Unit: independently constructed episode; correlated stages and assertions are not independent samples.
  • Outcomes: missed corrections, unnecessary reopening, unauthorized reliance, unsupported completion and task quality.
  • Costs: state construction and maintenance, context tokens, latency, model and tool calls, human effort.
  • Falsification: no material reliability gain under matched information and resources, or gains explained by privileged labels or uncounted construction.

Scoring, retrieval, uncertainty analysis and stopping rules must be fixed before held-out assessment. Pilot execution, new model collection and confirmatory runs remain separately governed.