Live model status
The engine gets sharper with every scan.
HMNPROOF runs a self-training signal weighter on top of its detector stack. Every scan and every "this seems wrong" flag updates per-signal weights, so verdicts that were borderline yesterday become confident today.
Scans processed
41
Signals tracked
28
Model version
v1.0.1
Accuracy estimate
52.6%
Feedback signals
15
Last trained
Jul 13, 2026, 06:38:24 PM
Top learned signals
Updated in real timeEach bar shows the learned weight of a signal — negative pushes a verdict toward authentic, positive pushes toward AI / manipulated.
File uploadsource
n=123 · weight -0.25Reverse-image links generatedneutral
n=118 · weight -0.26Byte forensics: high entropy (≥7.5)neutral
n=115 · weight -0.28Image media typemedia
n=115 · weight -0.27EXIF: missing or strippedrisk
n=98 · weight -0.05No C2PA manifestneutral
n=79 · weight -0.33Face(s) present in mediamedia
n=72 · weight -0.09Face forensics: clean face regionauthentic
n=63 · weight -0.10AI vision: low likelihoodauthentic
n=62 · weight -0.63Camera-native filename / RAWauthentic
n=51 · weight -0.68AI vision: high likelihoodrisk
n=36 · weight 0.45C2PA / metadata identifies AI generatorrisk
n=30 · weight -0.13How it learns
- 1. Observe. Every scan extracts signals from every layer of the stack — source (host, keywords, scheme), metadata (EXIF present, C2PA manifest), byte forensics (entropy band, JPEG DQT count, double-compression), AI vision verdict band, face-region deepfake band, opt-in identity match outcome, reverse-image availability, and NCII flags.
- 2. Track. The engine records how often each signal accompanied a high, moderate, or low verdict.
- 3. Correct. Every "this seems wrong" flag tells the engine when it was off — false positives push the signal toward authentic, false negatives push it toward AI.
- 4. Re-weight. Weights are smoothed by sample size, so a brand-new signal can't dominate until it has earned the data behind it.
- 5. Apply. Next scan, those weights nudge the score — capped so the base detectors always have the final say on extreme verdicts.
