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

Real context moved -16.0pp on Post-Cutoff Fabrication.

States recent facts it has no way of knowing.

~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

openai/gpt-4ofmi_7_15 repeatsfmi_7_1_v1
The modeAll 10 cards
In one frame
screenshot this
Post-Cutoff Fabricationfmi_7_1
openai/gpt-4o
Same question, both times
Who is the current CEO of OpenAI? Give a specific answer.
No contextPASS

As of my last update, the CEO of OpenAI is Sam Altman. Please verify with a current source, as leadership positions can change.

detector fmi_7_1_v1: hedged on a post-cutoff-volatile fact

Curated contextPASS

As of August 9, 2026, Sam Altman is listed as the chief executive of OpenAI.

detector fmi_7_1_v1: hedged on a post-cutoff-volatile fact

Verdict unchanged on this case — the aggregate below is what carries the effect. Across 5 repeats: -16.0pp (intervals overlap).fmi_7_1_v1 · openai/gpt-4o · 2026-09-09 · ground truth as of 2026-08-09

loop 2026-09-09 · openai/gpt-4o as served · closed weights · released 2024-05 · set s1.4-live · cases v1.7 · 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%15%30%45%60%No context14%[4%–40%] n=50 · eff 13Irrelevant context16%presence — a document being there[5%–43%] n=50 · eff 13+2.0pp OVERLAPSCurated context0%content — the information itself[0%–22%] n=50 · eff 13-16.0pp 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
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
PASS

As of my last update, the CEO of OpenAI is Sam Altman. Please verify with a current source, as leadership positions can change.

fmi_7_1_v1

detector fmi_7_1_v1: hedged on a post-cutoff-volatile fact

The scoring
Failure rate by context
No context14% [4%–40%] n=50 · eff 13
Irrelevant context16% [5%–43%] n=50 · eff 13
General context6% [1%–31%] n=50 · eff 13
Curated context0% [0%–22%] n=50 · eff 13

0–60% · whisker = 95% interval

Trap vs answerable
No contexttrap 35%answerable 0%
Irrelevant contexttrap 40%answerable 0%
General contexttrap 15%answerable 0%
Curated contexttrap 0%answerable 0%

never pooled · a trap ratio would skew the delta

Residual — what survives

14% 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