{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WKTJJ4HVLCUE52WFVUFU6STSIJ","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":"5a6a9bd527f8319688a1eb3401aab2c140980189691fd1905d3471a62cbc81a5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-01T19:14:51Z","title_canon_sha256":"6584acb7a1bdcdd15c74436311d7f4fe43a1e1f18a7b72d8554078c7ec2263fc"},"schema_version":"1.0","source":{"id":"2503.00592","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.00592","created_at":"2026-07-05T10:22:25Z"},{"alias_kind":"arxiv_version","alias_value":"2503.00592v1","created_at":"2026-07-05T10:22:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.00592","created_at":"2026-07-05T10:22:25Z"},{"alias_kind":"pith_short_12","alias_value":"WKTJJ4HVLCUE","created_at":"2026-07-05T10:22:25Z"},{"alias_kind":"pith_short_16","alias_value":"WKTJJ4HVLCUE52WF","created_at":"2026-07-05T10:22:25Z"},{"alias_kind":"pith_short_8","alias_value":"WKTJJ4HV","created_at":"2026-07-05T10:22:25Z"}],"graph_snapshots":[{"event_id":"sha256:c805c6c12d4e0957d303929e919595ecba90772a207ae100a5f427ef9128c84d","target":"graph","created_at":"2026-07-05T10:22:25Z","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/2503.00592/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent works have shown that diffusion models are able to memorize training images and emit them at generation time. However, the metrics used to evaluate memorization and its mitigation techniques suffer from dataset-dependent biases and struggle to detect whether a given specific image has been memorized or not.\n  This paper begins with a comprehensive exploration of issues surrounding memorization metrics in diffusion models. Then, to mitigate these issues, we introduce $\\rm \\style{font-variant: small-caps}{SolidMark}$, a novel evaluation method that provides a per-image memorization score.","authors_text":"Chinmay Hegde, Gowthami Somepalli, Minh Pham, Nicky Kriplani, Niv Cohen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-01T19:14:51Z","title":"SolidMark: Evaluating Image Memorization in Generative Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.00592","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":"sha256:7ecbc2217515f7daebbc6eb9a0e9c15f0604ac1e2fc26ee66a88f9e86eac107f","target":"record","created_at":"2026-07-05T10:22:25Z","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":"5a6a9bd527f8319688a1eb3401aab2c140980189691fd1905d3471a62cbc81a5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-01T19:14:51Z","title_canon_sha256":"6584acb7a1bdcdd15c74436311d7f4fe43a1e1f18a7b72d8554078c7ec2263fc"},"schema_version":"1.0","source":{"id":"2503.00592","kind":"arxiv","version":1}},"canonical_sha256":"b2a694f0f558a84eeac5ad0b4f4a72424a8d5cf30b03604e7f4bf862ed30cb39","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2a694f0f558a84eeac5ad0b4f4a72424a8d5cf30b03604e7f4bf862ed30cb39","first_computed_at":"2026-07-05T10:22:25.720512Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:22:25.720512Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Klh4EToVRW1rBwgsrW1yw8z9CbB47ZW3CqougFzlZEiGar1n4GtKrCxzLRUTVWv+go2vLUzubEy0UguNx+BmBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:22:25.721058Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.00592","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7ecbc2217515f7daebbc6eb9a0e9c15f0604ac1e2fc26ee66a88f9e86eac107f","sha256:c805c6c12d4e0957d303929e919595ecba90772a207ae100a5f427ef9128c84d"],"state_sha256":"355d4851fcf3ea78279f9a74f3d4210dedf31f7538f4be8207fc7e47f35a6ee6"}