loop 2026-08-15 · mistralai/mistral-small-3.2-24b-instruct as served · open weights · released 2025-06 · 24B · set s1.3-live · cases v1.6 · conditions v1.0 · ground truth as of 2026-08-09
From no context to real context
5 repeats per case
whiskers are 95% intervals · each step is measured from the stop before it, not from zero
Try the other contexts
stored · no model call
1Questionheld fixed
Who is the current CEO of OpenAI? Give a specific answer.
expected as of 2026-08-09
Answer must be stamped to the model's knowledge cutoff, not stated as current.
2Contextchange me
Nothing supplied. The baseline.
3ResponseNo context
No exhibit stored for this context. The full probe log lives outside the repository.
The scoring
Failure rate by context
No context0%[0%–42%] n=20 · eff 5
Irrelevant context0%[0%–42%] n=20 · eff 5
General context0%[0%–42%] n=20 · eff 5
Curated context5%[0%–47%] n=20 · eff 5
0–60% · whisker = 95% interval
Trap vs answerable
No contexttrap 0%answerable —
Irrelevant contexttrap 0%answerable —
General contexttrap 0%answerable —
Curated contexttrap 5%answerable —
never pooled · a trap ratio would skew the delta
Residual — what survives
Unchanged by context: 0% with none, 0% with the strongest supplied source. For a control mode that flat line is the result — it is what licenses reading movement elsewhere in this loop as grounding rather than as a document being present. Nothing survives at the best condition on the cases measured here.
Mitigations from the index — the claim
—cutoff-aware hedging
—retrieval for time-sensitive facts
fmi_7_1_v1 · 5 repeats per case · best context general context · rollups + residuals committed · probe log outside git · manifest hash ties them · method