Benchmark replication-review scoring revision approved for live use¶

Canonical pattern(s): Approval-gated optimization-state release Source Markdown: instances/research/benchmark-replication-review-scoring-revision-approved-for-live-use.md

Linked pattern(s)¶

approval-gated-optimization-state-release

Domain¶

Research.

Scenario summary¶

A research integrity lead has prepared one exact replication-review scoring revision for a benchmark publication program after replay shows that the current live profile underweights cross-lab divergence, dataset-governance caveats, and disclosure-sensitive benchmark claims during final review. The candidate revision increases sensitivity to rerun instability, tightens protected integrity floors for governance-heavy datasets, and defines a restore target if false-positive burden or missed replication risk rises. The workflow must release that exact scoring revision into bounded live use only after a human approver confirms the manifest, validity window, and rollback packet, while staying bounded at optimization-state release rather than deciding publication readiness, revising benchmark claims, or releasing study artifacts externally.

flowchart TD A["Prepare exact replication-review scoring revision candidate"] B["Verify replay evidence, revision hash, benchmark-program scope, and restore target"] C{"Manifest, validity window, and rollback packet complete?"} D["Hold release until verification gaps or packet errors are corrected"] E{"Named approver authorizes that exact revision for bounded live use?"} F["Activate approved scoring revision for the named benchmark publication program and write audit trace"] G{"False-positive burden, missed replication risk, or validity-window expiry triggered?"} H["Keep revision live within the approved benchmark-program window"] I["Restore the prior trusted scoring profile and record rollback or expiry action"] A --> B B --> C C -->|"No"| D C -->|"Yes"| E E -->|"No"| D E -->|"Yes"| F F --> G G -->|"No"| H H -->|"Within window"| G G -->|"Yes"| I

Target systems / source systems¶

Versioned replication-review scoring registry with the active live profile, candidate revision hash, protected integrity floors, and prior trusted revisions
Replay and shadow-evaluation workspace with rerun outcomes, reviewer overrides, disclosure-risk findings, publication-council bounce-backs, and prior rollback history
Research approval and manifest tooling used by integrity leadership to authorize one bounded live scoring revision for the named benchmark publication program
Audit, rollback, and restore services that can return the prior profile if replication misses, governance-heavy dataset handling, or reviewer burden worsens
Replication-review dashboards, publication-integrity queues, and benchmark oversight surfaces that consume the active scoring policy

Why this instance matters¶

This grounds the pattern in research where the released object remains a versioned tuning artifact rather than a publication decision packet. The workflow governs one exact replication-review scoring revision that changes how future benchmark studies are emphasized for human integrity review, with explicit expiry and rollback discipline. That keeps the instance inside optimize/adapt because the core problem is safe live release of bounded optimization state, not publication adjudication, schedule management, or external disclosure.

Likely architecture choices¶

flowchart LR Lead["Research integrity lead"] Replay["Replay and shadow-evaluation workspace rerun outcomes, reviewer overrides, disclosure-risk findings, and rollback history"] Registry["Versioned replication-review scoring registry active live profile, candidate revision hash, protected integrity floors, and prior trusted revisions"] Audit["Audit, rollback, and restore services approval trace, restore target, and rollback or expiry actions"] Consumers["Replication-review dashboards, publication-integrity queues, and benchmark oversight surfaces"] subgraph Boundary["Approval boundary exact scoring revision, benchmark-program scope, validity window, and rollback packet"] Release["Governed release agent verifies hash, replay evidence, and restore readiness"] Approval["Research approval and manifest tooling binds one revision to bounded live use"] Approver["Named research approver"] end Lead -->|"Prepares candidate revision"| Registry Replay -->|"Provides replay evidence and guardrail signals"| Release Registry -->|"Supplies live, candidate, and prior scoring state"| Release Release -->|"Writes manifest for exact revision"| Approval Approver -->|"Approves or rejects bounded live use"| Approval Approval -->|"Approved revision, scope, and validity window"| Release Release -->|"Activates approved scoring revision"| Registry Registry -->|"Publishes active scoring policy"| Consumers Release -->|"Records audit lineage and restore target"| Audit Audit -->|"Restores prior trusted profile on rollback or expiry"| Registry

Approval-gated execution fits because the scoring revision can be prepared and technically ready, but the live switch remains blocked until a named research integrity owner approves that exact version and program scope.
Human-in-the-loop review remains necessary because accountable stewards must accept the trade-offs among rerun sensitivity, governance-heavy dataset protection, and reviewer workload before bounded live use begins.
A governed release agent can compare revision hashes, verify replay evidence, register rollback conditions, and maintain the audit trace, but it should not decide whether a study may publish, alter benchmark claims, or release any artifact outside the review system.

Governance notes¶

Approval should bind to one exact scoring revision, one named benchmark publication program, and one validity window so later tuning changes cannot reuse stale authorization.
Protected integrity floors for governance-heavy datasets, disclosure-sensitive claims, and lower-visibility benchmark cohorts should remain explicit in the release packet.
Expiry should restore the prior trusted profile automatically unless integrity leadership deliberately extends the revision after reviewing live replication and reviewer-burden signals.
Rollback triggers should include missed replication-risk cases, worsening publication-council bounce-backs, or increased false-positive review burden that undermines steward trust.
Audit records should preserve the approved and prior revision ids, replay windows, approver identity, validity timing, rollback criteria, and any extension or restore action.
The workflow must not approve publication, settle disclosure posture, or trigger external benchmark release; it only governs release of the scoring revision used by human replication-review surfaces.

Evaluation considerations¶

Reduction in missed replication-risk cases, late publication-integrity bounce-backs, and reviewer overrides after the approved scoring revision becomes live
Accuracy of manifest binding among the approved revision hash, protected integrity floors, and activated benchmark-program scope
Reliability of automatic expiry or rollback when rerun instability or reviewer-burden assumptions breach the approved guardrails
Time required for research integrity leaders to inspect one revision, approve bounded live use, and verify safe restoration to the prior trusted profile