{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ASA3NUOR24TSDT2KQBAFWH2QYO","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"4a3a9449e33dc39ff018d0ec965a8eff8aeeefe46fce027eff4c730db1675570","cross_cats_sorted":["cs.AI","cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-21T12:49:30Z","title_canon_sha256":"0bdd62cf6b4a94ed604f6fac62539685698822fa068dda269b60372db07c6311"},"schema_version":"1.0","source":{"id":"2501.12102","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.12102","created_at":"2026-07-05T10:03:31Z"},{"alias_kind":"arxiv_version","alias_value":"2501.12102v1","created_at":"2026-07-05T10:03:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.12102","created_at":"2026-07-05T10:03:31Z"},{"alias_kind":"pith_short_12","alias_value":"ASA3NUOR24TS","created_at":"2026-07-05T10:03:31Z"},{"alias_kind":"pith_short_16","alias_value":"ASA3NUOR24TSDT2K","created_at":"2026-07-05T10:03:31Z"},{"alias_kind":"pith_short_8","alias_value":"ASA3NUOR","created_at":"2026-07-05T10:03:31Z"}],"graph_snapshots":[{"event_id":"sha256:9e32048386bdea13636cf89d3dd1ed49735c7d54b9de25150eb8bc361eccf461","target":"graph","created_at":"2026-07-05T10:03:31Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2501.12102/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Real-world image restoration deals with the recovery of images suffering from an unknown degradation. This task is typically addressed while being given only degraded images, without their corresponding ground-truth versions. In this hard setting, designing and evaluating restoration algorithms becomes highly challenging. This paper offers a suite of tools that can serve both the design and assessment of real-world image restoration algorithms. Our work starts by proposing a trained model that predicts the chain of degradations a given real-world measured input has gone through. We show how th","authors_text":"Guy Ohayon, Michael Elad, Ron Raphaeli, Sean Man","cross_cats":["cs.AI","cs.LG","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-21T12:49:30Z","title":"Proxies for Distortion and Consistency with Applications for Real-World Image Restoration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.12102","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:15f8afcc1373d3731c72128dabc49201bdc20b14c8d6f5609d0517b844e2c7f6","target":"record","created_at":"2026-07-05T10:03:31Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"4a3a9449e33dc39ff018d0ec965a8eff8aeeefe46fce027eff4c730db1675570","cross_cats_sorted":["cs.AI","cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-21T12:49:30Z","title_canon_sha256":"0bdd62cf6b4a94ed604f6fac62539685698822fa068dda269b60372db07c6311"},"schema_version":"1.0","source":{"id":"2501.12102","kind":"arxiv","version":1}},"canonical_sha256":"0481b6d1d1d72721cf4a80405b1f50c39c6dbd9f2474a8e71767d936dbb58e18","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0481b6d1d1d72721cf4a80405b1f50c39c6dbd9f2474a8e71767d936dbb58e18","first_computed_at":"2026-07-05T10:03:31.543816Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:03:31.543816Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vJ7dbFqOxYe4xBV9qXrls+vM47Hif8gkToD+bMWHv5EPuuyXaxKa44e7MEQDxDDLoEW35HHjD7OXR+ITF0TdDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:03:31.544153Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.12102","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:15f8afcc1373d3731c72128dabc49201bdc20b14c8d6f5609d0517b844e2c7f6","sha256:9e32048386bdea13636cf89d3dd1ed49735c7d54b9de25150eb8bc361eccf461"],"state_sha256":"bb6aea0e4549c2b632b5947950ff4b9fad8edaadc30ce4118aad6b3e48018a9f"}