{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:JC7AGS6JNUXD5OB2LI45TWDV4G","short_pith_number":"pith:JC7AGS6J","canonical_record":{"source":{"id":"2606.01658","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-06-01T04:09:45Z","cross_cats_sorted":[],"title_canon_sha256":"762534c01996566d3dbc67be0d48032103078034767dbadf92a574fdf43c5fd9","abstract_canon_sha256":"84e091390a397caa56f2f78c55674426c3ca3c4831e9de369ce1557a8fdaf9d6"},"schema_version":"1.0"},"canonical_sha256":"48be034bc96d2e3eb83a5a39d9d875e1892c54cf6e47910dd938a72e8fadd92b","source":{"kind":"arxiv","id":"2606.01658","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01658","created_at":"2026-06-02T02:04:39Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01658v1","created_at":"2026-06-02T02:04:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01658","created_at":"2026-06-02T02:04:39Z"},{"alias_kind":"pith_short_12","alias_value":"JC7AGS6JNUXD","created_at":"2026-06-02T02:04:39Z"},{"alias_kind":"pith_short_16","alias_value":"JC7AGS6JNUXD5OB2","created_at":"2026-06-02T02:04:39Z"},{"alias_kind":"pith_short_8","alias_value":"JC7AGS6J","created_at":"2026-06-02T02:04:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:JC7AGS6JNUXD5OB2LI45TWDV4G","target":"record","payload":{"canonical_record":{"source":{"id":"2606.01658","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-06-01T04:09:45Z","cross_cats_sorted":[],"title_canon_sha256":"762534c01996566d3dbc67be0d48032103078034767dbadf92a574fdf43c5fd9","abstract_canon_sha256":"84e091390a397caa56f2f78c55674426c3ca3c4831e9de369ce1557a8fdaf9d6"},"schema_version":"1.0"},"canonical_sha256":"48be034bc96d2e3eb83a5a39d9d875e1892c54cf6e47910dd938a72e8fadd92b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T02:04:39.414243Z","signature_b64":"n89rDRJImcGpkQeeo6Nvf9lhLK/FASW5iM8hkHaTULw26CS4ZmCAbKk/s/lo9RneQmMmaF6lA0wE63XHFtYnDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"48be034bc96d2e3eb83a5a39d9d875e1892c54cf6e47910dd938a72e8fadd92b","last_reissued_at":"2026-06-02T02:04:39.413829Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T02:04:39.413829Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.01658","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-02T02:04:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UCfjc/uQ4AH5u7YXF6JgUBF+7+/00F5thHlxpu4FrETO+zerYalDBKOkydAbD0arsZUFqSU1sSYs0AyYihsWDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T16:33:16.642768Z"},"content_sha256":"5a9d4b52a7e906fd98e9abb21df1e8667a076211d81b5379c1105ef2ca09ca8d","schema_version":"1.0","event_id":"sha256:5a9d4b52a7e906fd98e9abb21df1e8667a076211d81b5379c1105ef2ca09ca8d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:JC7AGS6JNUXD5OB2LI45TWDV4G","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CoreUnlearn: Rethinking Concept Unlearning through Disentangled Component-Level Erasure in Text-guided Diffusion Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Baocai Yin, Lihe Zhang, Mengnan Zhao","submitted_at":"2026-06-01T04:09:45Z","abstract_excerpt":"Text guided diffusion models have revolutionized image synthesis but also raise ethical concerns, such as privacy violation and harmful content generation. To mitigate these issues, prevailing methods typically leverage an alignment mechanism, with predefined erasure references, to fine-tune pretrained model weights. However, these techniques are intrinsically limited by the representational capacity of textual space and display high sensitivity to the choice of predefined erasure references, e.g., suboptimal references may significantly affect the model utility preservation during erasure. To"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01658","kind":"arxiv","version":1},"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/2606.01658/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":"2026-06-02T02:04:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dh6/sfVZsg1bTpflMkdGyaVWAFs8Rm1jqaJtO66GmARVSM8jcGn2P86RGzO/ibM9UYd1yDR2SPogvOuvbUFLAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T16:33:16.643143Z"},"content_sha256":"01523e75a23d3b2948a269e2d5c16a71654e949661703270963da78e79cfeba6","schema_version":"1.0","event_id":"sha256:01523e75a23d3b2948a269e2d5c16a71654e949661703270963da78e79cfeba6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JC7AGS6JNUXD5OB2LI45TWDV4G/bundle.json","state_url":"https://pith.science/pith/JC7AGS6JNUXD5OB2LI45TWDV4G/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JC7AGS6JNUXD5OB2LI45TWDV4G/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":"2026-07-01T16:33:16Z","links":{"resolver":"https://pith.science/pith/JC7AGS6JNUXD5OB2LI45TWDV4G","bundle":"https://pith.science/pith/JC7AGS6JNUXD5OB2LI45TWDV4G/bundle.json","state":"https://pith.science/pith/JC7AGS6JNUXD5OB2LI45TWDV4G/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JC7AGS6JNUXD5OB2LI45TWDV4G/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JC7AGS6JNUXD5OB2LI45TWDV4G","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":"84e091390a397caa56f2f78c55674426c3ca3c4831e9de369ce1557a8fdaf9d6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-06-01T04:09:45Z","title_canon_sha256":"762534c01996566d3dbc67be0d48032103078034767dbadf92a574fdf43c5fd9"},"schema_version":"1.0","source":{"id":"2606.01658","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01658","created_at":"2026-06-02T02:04:39Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01658v1","created_at":"2026-06-02T02:04:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01658","created_at":"2026-06-02T02:04:39Z"},{"alias_kind":"pith_short_12","alias_value":"JC7AGS6JNUXD","created_at":"2026-06-02T02:04:39Z"},{"alias_kind":"pith_short_16","alias_value":"JC7AGS6JNUXD5OB2","created_at":"2026-06-02T02:04:39Z"},{"alias_kind":"pith_short_8","alias_value":"JC7AGS6J","created_at":"2026-06-02T02:04:39Z"}],"graph_snapshots":[{"event_id":"sha256:01523e75a23d3b2948a269e2d5c16a71654e949661703270963da78e79cfeba6","target":"graph","created_at":"2026-06-02T02:04:39Z","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/2606.01658/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text guided diffusion models have revolutionized image synthesis but also raise ethical concerns, such as privacy violation and harmful content generation. To mitigate these issues, prevailing methods typically leverage an alignment mechanism, with predefined erasure references, to fine-tune pretrained model weights. However, these techniques are intrinsically limited by the representational capacity of textual space and display high sensitivity to the choice of predefined erasure references, e.g., suboptimal references may significantly affect the model utility preservation during erasure. To","authors_text":"Baocai Yin, Lihe Zhang, Mengnan Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-06-01T04:09:45Z","title":"CoreUnlearn: Rethinking Concept Unlearning through Disentangled Component-Level Erasure in Text-guided Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01658","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":"sha256:5a9d4b52a7e906fd98e9abb21df1e8667a076211d81b5379c1105ef2ca09ca8d","target":"record","created_at":"2026-06-02T02:04:39Z","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":"84e091390a397caa56f2f78c55674426c3ca3c4831e9de369ce1557a8fdaf9d6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-06-01T04:09:45Z","title_canon_sha256":"762534c01996566d3dbc67be0d48032103078034767dbadf92a574fdf43c5fd9"},"schema_version":"1.0","source":{"id":"2606.01658","kind":"arxiv","version":1}},"canonical_sha256":"48be034bc96d2e3eb83a5a39d9d875e1892c54cf6e47910dd938a72e8fadd92b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"48be034bc96d2e3eb83a5a39d9d875e1892c54cf6e47910dd938a72e8fadd92b","first_computed_at":"2026-06-02T02:04:39.413829Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T02:04:39.413829Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"n89rDRJImcGpkQeeo6Nvf9lhLK/FASW5iM8hkHaTULw26CS4ZmCAbKk/s/lo9RneQmMmaF6lA0wE63XHFtYnDw==","signature_status":"signed_v1","signed_at":"2026-06-02T02:04:39.414243Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.01658","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a9d4b52a7e906fd98e9abb21df1e8667a076211d81b5379c1105ef2ca09ca8d","sha256:01523e75a23d3b2948a269e2d5c16a71654e949661703270963da78e79cfeba6"],"state_sha256":"0ed2260fcc947494701d10d6bbc56ea3c0ab62356480fa9cc65eaa1c805f4b65"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hSqxGBJ8wtGHzjh6rFofzUPDWOAJU2cdsZkEkFP8eYF86lBGwU+/Bph2etnURmselqFUa1R4s9MqMfoRDH6TBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-01T16:33:16.645211Z","bundle_sha256":"a1968d80a637b9453d2814e893cfc5967aee71009327f55abc587b1b9e6a6f93"}}