{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:J7PSSN7OQG6GXOKQ4NOIOX5CXU","short_pith_number":"pith:J7PSSN7O","canonical_record":{"source":{"id":"2506.02761","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T11:25:14Z","cross_cats_sorted":["cs.CL","cs.CR","cs.CV"],"title_canon_sha256":"fa55065c680b25c79d03d7cae1606c34ddf92ee7fd03acc475514ea6b3f61ee5","abstract_canon_sha256":"550f84bbcdbc9649fec18907ac730a29a8e16d68f5ee785682a6499e42b71e37"},"schema_version":"1.0"},"canonical_sha256":"4fdf2937ee81bc6bb950e35c875fa2bd13754d8321df670e10d664d951b1d279","source":{"kind":"arxiv","id":"2506.02761","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02761","created_at":"2026-07-05T11:17:00Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02761v2","created_at":"2026-07-05T11:17:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02761","created_at":"2026-07-05T11:17:00Z"},{"alias_kind":"pith_short_12","alias_value":"J7PSSN7OQG6G","created_at":"2026-07-05T11:17:00Z"},{"alias_kind":"pith_short_16","alias_value":"J7PSSN7OQG6GXOKQ","created_at":"2026-07-05T11:17:00Z"},{"alias_kind":"pith_short_8","alias_value":"J7PSSN7O","created_at":"2026-07-05T11:17:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:J7PSSN7OQG6GXOKQ4NOIOX5CXU","target":"record","payload":{"canonical_record":{"source":{"id":"2506.02761","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T11:25:14Z","cross_cats_sorted":["cs.CL","cs.CR","cs.CV"],"title_canon_sha256":"fa55065c680b25c79d03d7cae1606c34ddf92ee7fd03acc475514ea6b3f61ee5","abstract_canon_sha256":"550f84bbcdbc9649fec18907ac730a29a8e16d68f5ee785682a6499e42b71e37"},"schema_version":"1.0"},"canonical_sha256":"4fdf2937ee81bc6bb950e35c875fa2bd13754d8321df670e10d664d951b1d279","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:17:00.117487Z","signature_b64":"go1li6ajWBDqv4dxQRSrdYB2Cy9YVJY8luhZnddOFitpTwSqMIjaPJCmsXn8dAmcsivOADEA4gqxXjHCbezzDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4fdf2937ee81bc6bb950e35c875fa2bd13754d8321df670e10d664d951b1d279","last_reissued_at":"2026-07-05T11:17:00.116958Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:17:00.116958Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.02761","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:17:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZkRYOUEPgzr/FMIU0Fh8ohvxkUIjdh1owu+CayxS0sx1kAn47j+9TLNFK7GYVatqbZRM+17KkbL9vd/vt2PPCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T15:26:54.957796Z"},"content_sha256":"65a7debb5910b2f0ba2096de4fdeff195ed8c3567abf8c75e091ee9942ac8acd","schema_version":"1.0","event_id":"sha256:65a7debb5910b2f0ba2096de4fdeff195ed8c3567abf8c75e091ee9942ac8acd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:J7PSSN7OQG6GXOKQ4NOIOX5CXU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rethinking Machine Unlearning in Image Generation Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.CR","cs.CV"],"primary_cat":"cs.AI","authors_text":"Renyang Liu, See-kiong Ng, Tianwei Zhang, Wei Zhou, Wenjie Feng, Xueqi Cheng","submitted_at":"2025-06-03T11:25:14Z","abstract_excerpt":"With the surge and widespread application of image generation models, data privacy and content safety have become major concerns and attracted great attention from users, service providers, and policymakers. Machine unlearning (MU) is recognized as a cost-effective and promising means to address these challenges. Despite some advancements, image generation model unlearning (IGMU) still faces remarkable gaps in practice, e.g., unclear task discrimination and unlearning guidelines, lack of an effective evaluation framework, and unreliable evaluation metrics. These can hinder the understanding of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02761","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2506.02761/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:17:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/lzwKWqTpRJD9dRGioOZ8HFIzt2i1u8Y/R/4i9CDmkizNqp6cz+AuNkVWWvWWI5MzOvLNCHkdEORlYt81S5tDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T15:26:54.958298Z"},"content_sha256":"41f5db7c609b70418a5627fa64b6c5c0ce74fb5743196cda02452f8fc839e2c8","schema_version":"1.0","event_id":"sha256:41f5db7c609b70418a5627fa64b6c5c0ce74fb5743196cda02452f8fc839e2c8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J7PSSN7OQG6GXOKQ4NOIOX5CXU/bundle.json","state_url":"https://pith.science/pith/J7PSSN7OQG6GXOKQ4NOIOX5CXU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J7PSSN7OQG6GXOKQ4NOIOX5CXU/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T15:26:54Z","links":{"resolver":"https://pith.science/pith/J7PSSN7OQG6GXOKQ4NOIOX5CXU","bundle":"https://pith.science/pith/J7PSSN7OQG6GXOKQ4NOIOX5CXU/bundle.json","state":"https://pith.science/pith/J7PSSN7OQG6GXOKQ4NOIOX5CXU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J7PSSN7OQG6GXOKQ4NOIOX5CXU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:J7PSSN7OQG6GXOKQ4NOIOX5CXU","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":"550f84bbcdbc9649fec18907ac730a29a8e16d68f5ee785682a6499e42b71e37","cross_cats_sorted":["cs.CL","cs.CR","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T11:25:14Z","title_canon_sha256":"fa55065c680b25c79d03d7cae1606c34ddf92ee7fd03acc475514ea6b3f61ee5"},"schema_version":"1.0","source":{"id":"2506.02761","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02761","created_at":"2026-07-05T11:17:00Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02761v2","created_at":"2026-07-05T11:17:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02761","created_at":"2026-07-05T11:17:00Z"},{"alias_kind":"pith_short_12","alias_value":"J7PSSN7OQG6G","created_at":"2026-07-05T11:17:00Z"},{"alias_kind":"pith_short_16","alias_value":"J7PSSN7OQG6GXOKQ","created_at":"2026-07-05T11:17:00Z"},{"alias_kind":"pith_short_8","alias_value":"J7PSSN7O","created_at":"2026-07-05T11:17:00Z"}],"graph_snapshots":[{"event_id":"sha256:41f5db7c609b70418a5627fa64b6c5c0ce74fb5743196cda02452f8fc839e2c8","target":"graph","created_at":"2026-07-05T11:17:00Z","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/2506.02761/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the surge and widespread application of image generation models, data privacy and content safety have become major concerns and attracted great attention from users, service providers, and policymakers. Machine unlearning (MU) is recognized as a cost-effective and promising means to address these challenges. Despite some advancements, image generation model unlearning (IGMU) still faces remarkable gaps in practice, e.g., unclear task discrimination and unlearning guidelines, lack of an effective evaluation framework, and unreliable evaluation metrics. These can hinder the understanding of","authors_text":"Renyang Liu, See-kiong Ng, Tianwei Zhang, Wei Zhou, Wenjie Feng, Xueqi Cheng","cross_cats":["cs.CL","cs.CR","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T11:25:14Z","title":"Rethinking Machine Unlearning in Image Generation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02761","kind":"arxiv","version":2},"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":"sha256:65a7debb5910b2f0ba2096de4fdeff195ed8c3567abf8c75e091ee9942ac8acd","target":"record","created_at":"2026-07-05T11:17:00Z","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":"550f84bbcdbc9649fec18907ac730a29a8e16d68f5ee785682a6499e42b71e37","cross_cats_sorted":["cs.CL","cs.CR","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T11:25:14Z","title_canon_sha256":"fa55065c680b25c79d03d7cae1606c34ddf92ee7fd03acc475514ea6b3f61ee5"},"schema_version":"1.0","source":{"id":"2506.02761","kind":"arxiv","version":2}},"canonical_sha256":"4fdf2937ee81bc6bb950e35c875fa2bd13754d8321df670e10d664d951b1d279","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4fdf2937ee81bc6bb950e35c875fa2bd13754d8321df670e10d664d951b1d279","first_computed_at":"2026-07-05T11:17:00.116958Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:17:00.116958Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"go1li6ajWBDqv4dxQRSrdYB2Cy9YVJY8luhZnddOFitpTwSqMIjaPJCmsXn8dAmcsivOADEA4gqxXjHCbezzDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:17:00.117487Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.02761","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:65a7debb5910b2f0ba2096de4fdeff195ed8c3567abf8c75e091ee9942ac8acd","sha256:41f5db7c609b70418a5627fa64b6c5c0ce74fb5743196cda02452f8fc839e2c8"],"state_sha256":"16bc8379137e89183bc96fe144b7eef3c5fe140882770b382c2881fe39d6ca4a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bBp9Z3fPTWrbfaZJUMjGijKML+Sh9NxwLQ05tL4Za9n31nOt+IOmCoX797+derOkvLPODltwMDmnkG0FD64eCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T15:26:54.963922Z","bundle_sha256":"bb407d6f1edf8101f141e3d2131f549a1039170149c6848caa9be3fadf031a05"}}