Common-Witness Certificates and Sharp Feature Bounds for Counterfactual Image Auditing
An image editor may satisfy every regional plausibility constraint separately even when no single latent explanation fits the complete output.
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| Factor | Weight | Score | Contribution | Where it came from |
|---|---|---|---|---|
| Corroboration | 0.35 | 0.39 | +0.135 34% | 1 independent org on the story. Tier-3 aggregators never corroborate — they can show something is circulating, never that it is true. |
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Computer Entertainer (Marylou Badeaux and Celeste Dolan) · CC BY 4.0 · Wikimedia Commons · illustrativeWhat happened
An image editor may satisfy every regional plausibility constraint separately even when no single latent explanation fits the complete output. We formalize this local-to-global failure using a common witness grade and witness nerve. The framework separates auditing from causal identification: shared exogeneity alone allows every coupling of the regime marginals, whereas an externally justified witness relation yields sharp partial-identification bounds for prespecified image features. Helly-type arguments provide short incompatibility certificates for quasiconvex losses, heterogeneous action strata, and finite witness atlases; a blocker-hypergraph formula gives exact repair counts.
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- 01 Arxivfirst-party first seen Common-Witness Certificates and Sharp Feature Bounds for Counterfactual Image Auditing
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