ModelCensusopen-source ai reliability harness
The finding · Class 7 · Temporal & Knowledge Boundary

Real context moved 0.0pp on Post-Cutoff Fabrication.

~intervals overlap — not separated from no change

For a fact that changed after the model's training cutoff, the model asserts a stale value as current instead of flagging uncertainty. The rule

google/gemini-2.5-flashfmi_7_15 repeatsfmi_7_1_v1

loop 2026-08-15 · google/gemini-2.5-flash as served · closed weights · released 2025-06 · set s1.2-live · cases v1.4 · conditions v1.0 · ground truth as of 2026-08-09

From no context to real context
5 repeats per case
failure rate · left is fewer failures0%25%50%75%100%No context100%[84%100%] n=20Irrelevant context100%presence — a document being there[84%100%] n=200.0pp OVERLAPSGeneral context100%content — the information itself[84%100%] n=200.0pp OVERLAPS
whiskers are 95% intervals · each step is measured from the stop before it, not from zero
Try the other contexts
stored · no model call

No exhibits stored for this card.

The scoring
Failure rate by context
No context100% [84%100%] n=20
Irrelevant context100% [84%100%] n=20
General context100% [84%100%] n=20
Curated context100% [84%100%] n=20

0–100% · whisker = 95% interval

Trap vs answerable
No contexttrap 100%answerable
Irrelevant contexttrap 100%answerable
General contexttrap 100%answerable
Curated contexttrap 100%answerable

never pooled · a trap ratio would skew the delta

Residual — what survives

Unchanged by context: 100% with none, 100% 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.

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