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

Real context moved -65.0pp on Post-Cutoff Fabrication.

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

meta-llama/llama-3.3-70b-instructfmi_7_15 repeatsfmi_7_1_v1

loop 2026-08-15 · meta-llama/llama-3.3-70b-instruct as served · open weights · released 2024-12 · 70B · 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
failure rate · left is fewer failures0%25%50%75%100%No context35%[18%57%] n=20Irrelevant context65%presence — a document being there[43%82%] n=20+30.0pp OVERLAPSCurated context0%content — the information itself[0%16%] n=20-65.0pp SEPARATED
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 context35% [18%57%] n=20
Irrelevant context65% [43%82%] n=20
General context5% [1%24%] n=20
Curated context0% [0%16%] n=20

0–100% · whisker = 95% interval

Trap vs answerable
No contexttrap 35%answerable
Irrelevant contexttrap 65%answerable
General contexttrap 5%answerable
Curated contexttrap 0%answerable

never pooled · a trap ratio would skew the delta

Residual — what survives

35% with no context, 0% under the best supplied source. What survives is 0 failing probes at that best condition. 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 curated context · rollups + residuals committed · probe log outside git · manifest hash ties them · method