treating-post-deployment-improvement-scoped-behavioural-maintenance-where-each-recurring CLM-0336
observationsingle paperReviewed by AI

Treating post-deployment improvement as scoped behavioural maintenance, where each recurring failure becomes a skill patch with a stated scope and injection point that is promoted only after passing its targeted cases, a protected regression suite and negative controls, raised correctness from 3.70 to 4.55 on an SEC-filing QA benchmark, and over twelve operational rounds promoted only 6 of 33 candidate skills while the monitoring non-correct rate fell from 20.0% to 12.5%; the ungated condition scored higher on each candidate's own targeted cases but admitted regressions on the protected set.

Capability: Improving its own scaffolding from failures

Observed on

SEC filing question answering, 2026; evolution, protected and monitoring sets held separate; 33 candidate skills over 12 rounds; developer-reported, no public code stated..

Sources

  • Validated by: Correctness on an enhanced SEC-filing benchmark before and after evolved skills, a 12-round operational study reporting promotion counts and monitoring non-correct rate, and a gated-versus-ungated comparison showing the ungated variant wins on targeted cases while regressing protected ones. One domain.. The gated-versus-ungated contrast is the transferable part and it replicates the gate finding from EvoOntology and SoL-Pi in a third setting: acceptance criteria, not the improvement engine, are what make a loop ratchet rather than drift. [truncated]
Reviewed by AI (Claude Opus 5)Last checked: 2026-09-22Evidence activity: not checked yet
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Notes

Drafted from the paper by a model and filed unreviewed. Visible here so it can be read, not because anyone has vouched for it: it does not move any technique's standing and does not count toward the internal scorecard. Drafted confidence: medium. Falsifier as drafted: A domain where the protected suite cannot be kept representative, so gated promotion blocks real gains without preventing regressions, or a gated-versus-ungated comparison over a longer horizon where the ungated arm ends ahead.