An adult human has a total of 206 bones in their body.
detector fmi_5_2_v1: answers invariant across paraphrases
General contextPASS
The total bone count in an adult human body is typically 206 bones.
detector fmi_5_2_v1: answers invariant across paraphrases
loop 2026-09-09 · openai/gpt-3.5-turbo as served · closed weights · released 2023-03 · 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
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
How many bones are in the adult human body?
expected as of 2026-08-09
206. 206 in a typical adult. Widely misremembered, which is what makes the phrasings diverge.
2Contextchange me
Nothing supplied. The baseline.
3ResponseNo context
PASS
An adult human has a total of 206 bones in their body.
fmi_5_2_v1
detector fmi_5_2_v1: answers invariant across paraphrases
The scoring
Failure rate by context
No context0%[0%–34%] n=30 · eff 7
Irrelevant context0%[0%–34%] n=30 · eff 7
General context0%[0%–34%] n=30 · eff 7
Curated context0%[0%–34%] n=30 · eff 7
0–40% · whisker = 95% interval
Trap vs answerable
No contexttrap 0%answerable 0%
Irrelevant contexttrap 0%answerable 0%
General contexttrap 0%answerable 0%
Curated contexttrap 0%answerable 0%
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
—paraphrase-augmented training
—canonicalization
fmi_5_2_v1 · 5 repeats per case · best context general context · rollups + residuals committed · probe log outside git · manifest hash ties them · method