CRLGJun 30

Probe Choice Changes Canary-Memorization Verdicts: Three Post-Hoc Disagreement Case Studies in a Text-Dominant LoRA-Tuned Autoregressive Testbed

arXiv:2606.3116814.3
Predicted impact top 18% in CR · last 90 daysOriginality Synthesis-oriented
AI Analysis

For researchers using memorization probes, this work highlights specific failure modes in a controlled setting, but the findings are incremental and testbed-specific.

The paper audits a memorization probe on a Qwen2.5-VL-7B testbed and finds three cases where the probe disagrees with full-span NLL or exact recall, revealing false negatives/positives due to window truncation and non-secret drift. They recommend reporting multiple metrics to avoid misinterpreting probe signals.

We audit a fixed prefix-window mean-NLL memorization probe (K=20) on a Qwen2.5-VL-7B canary testbed and report three post-hoc cases where it disagrees with full-span secret NLL or greedy exact-recall. C3 (false negative, window truncation): damage lands on hex tokens outside K=20; the probe stays flat while hit@1 drops. C4 (false positive, non-secret drift): the probe moves, but approximately 99% sits on non-secret preamble; the secret span and hit@1 are unchanged. C5 (ambiguous in-window drop): the probe falls on an undertrained baseline while full-span hex is positive and hit@1=0. Recommendation: report (i) full-span secret NLL, (ii) a span-localised decomposition, (iii) behavioural exact-recall at k>=4, and (iv) decoy probes before asserting secret-specificity. Evidence is on controlled canaries in one backbone; magnitudes are testbed-specific.

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