record replay provenance per answer in arms artifacts so headroom can exclude cached repeats

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Assessment

Difficulty
3/5
Estimated time
1-2 days
Newbie friendliness
45/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Active
Tech stack
python
Domain
data, devtools

Research direction

Start with the in-process usage record where the replayed flag is set when DOKIMI_RESPONSE_CACHE serves an answer, then find where arms.v1 artifacts are written per answer. Add a replayed provenance field to that schema and make eval headroom skip or flag replayed repeats. Done when a cached rerun produces artifacts marked replayed and headroom excludes them in its counts.

Written by the indexing model from the issue text.

Description

Headroom counts repeats of a run as independent samples. With DOKIMI_RESPONSE_CACHE on, repeated arms runs replay the same answers and judgments, so cached repeats look like fresh runs and can make an item non-provisional.

Ask: record replay provenance per answer in arms.v1 artifacts (for example a replayed flag stored with each answer), so eval headroom can exclude cached repeats or warn about them.

Today the replayed flag lives only in the in-process usage record. Storing it is an arms.v1 schema change. Context: PR #279 (documents the limitation until this lands).

Dominant language
Python
Stars
9
Forks
9
Avg merge
1d 8h
Merged PRs (30d)
282

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