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

Real context moved 10.0pp 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

x-ai/grok-4.6fmi_7_15 repeatsfmi_7_1_v1

loop 2026-08-15 · x-ai/grok-4.6 as served · closed weights · released 2026-01 · set s1.1-live · cases v1.3 · 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 context70%[40%89%] n=10Irrelevant context50%presence — a document being there[24%76%] n=10-20.0pp OVERLAPSGeneral context60%content — the information itself[31%83%] n=10+10.0pp 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 context70% [40%89%] n=10
Irrelevant context50% [24%76%] n=10
General context60% [31%83%] n=10
Curated context80% [49%94%] n=10

0–100% · whisker = 95% interval

Trap vs answerable
No contexttrap 70%answerable
Irrelevant contexttrap 50%answerable
General contexttrap 60%answerable
Curated contexttrap 80%answerable

never pooled · a trap ratio would skew the delta

Residual — what survives

Supplying context did not reduce this failure, it increased it: 70% with no context against 80% under the strongest supplied source. What survives is therefore not a remainder but a substitution — the failures under context are 6 probes the detector still rejected, dominated by: asserted a volatile post-cutoff fact as current without hedging.

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