{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:UGUZ2BH4XF27645TNLXRZAQJAK","short_pith_number":"pith:UGUZ2BH4","canonical_record":{"source":{"id":"2307.15960","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-07-29T11:36:38Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f2c10d38f4b16c65f85069426591bfb26e80b76186cd3285ed880383235b48b8","abstract_canon_sha256":"a6cb961061df0dddf41e0413a8f42df240ca71ae5a34b452b58c97e0a35f0d4f"},"schema_version":"1.0"},"canonical_sha256":"a1a99d04fcb975ff73b36aef1c820902842cf38cfad40d96c646c1bcd931798c","source":{"kind":"arxiv","id":"2307.15960","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.15960","created_at":"2026-07-05T06:35:57Z"},{"alias_kind":"arxiv_version","alias_value":"2307.15960v1","created_at":"2026-07-05T06:35:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.15960","created_at":"2026-07-05T06:35:57Z"},{"alias_kind":"pith_short_12","alias_value":"UGUZ2BH4XF27","created_at":"2026-07-05T06:35:57Z"},{"alias_kind":"pith_short_16","alias_value":"UGUZ2BH4XF27645T","created_at":"2026-07-05T06:35:57Z"},{"alias_kind":"pith_short_8","alias_value":"UGUZ2BH4","created_at":"2026-07-05T06:35:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:UGUZ2BH4XF27645TNLXRZAQJAK","target":"record","payload":{"canonical_record":{"source":{"id":"2307.15960","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-07-29T11:36:38Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f2c10d38f4b16c65f85069426591bfb26e80b76186cd3285ed880383235b48b8","abstract_canon_sha256":"a6cb961061df0dddf41e0413a8f42df240ca71ae5a34b452b58c97e0a35f0d4f"},"schema_version":"1.0"},"canonical_sha256":"a1a99d04fcb975ff73b36aef1c820902842cf38cfad40d96c646c1bcd931798c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:35:57.140738Z","signature_b64":"Vp7PaFhlI/OYKUVqMA4l/BfWN7Y/lFTPIgnC6EVj0YV39pFTCQRGh7tZxzAv4OHsMK4cMC9y7J3ZbfxOGSKKBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a1a99d04fcb975ff73b36aef1c820902842cf38cfad40d96c646c1bcd931798c","last_reissued_at":"2026-07-05T06:35:57.140268Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:35:57.140268Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.15960","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":"2026-07-05T06:35:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a6xhApZBblL0mkNKANKNy9YFVDEacbWXerDNPG+tyEuKGvC3iDrbY/TbLxFX4pYZK632sFWWlS5oxuhjpJOFAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:55:05.780492Z"},"content_sha256":"2b0fe5a15f5aba2bb07e701ae16bd95eb44c18b708c1ad8dee48f6df25796709","schema_version":"1.0","event_id":"sha256:2b0fe5a15f5aba2bb07e701ae16bd95eb44c18b708c1ad8dee48f6df25796709"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:UGUZ2BH4XF27645TNLXRZAQJAK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Recommendation Unlearning via Matrix Correction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Dongsheng Li, Hansu Gu, Jiahao Liu, Jiongran Wu, Li Shang, Ning Gu, Peng Zhang, Tun Lu","submitted_at":"2023-07-29T11:36:38Z","abstract_excerpt":"Recommender systems are important for providing personalized services to users, but the vast amount of collected user data has raised concerns about privacy (e.g., sensitive data), security (e.g., malicious data) and utility (e.g., toxic data). To address these challenges, recommendation unlearning has emerged as a promising approach, which allows specific data and models to be forgotten, mitigating the risks of sensitive/malicious/toxic user data. However, existing methods often struggle to balance completeness, utility, and efficiency, i.e., compromising one for the other, leading to subopti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.15960","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/2307.15960/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":"2026-07-05T06:35:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yL54A7/kfotnlSRqxM2qBfZxQlRcQUs7lxMnTZGyRzIVCI6fZZ3QpA10p+wrV+aTTub1O1wgqY1+xh9zbEa7Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:55:05.780988Z"},"content_sha256":"8ecdb1f419f47e72bcee847be8f55b39622961e7584feca695e14ad96065c5a8","schema_version":"1.0","event_id":"sha256:8ecdb1f419f47e72bcee847be8f55b39622961e7584feca695e14ad96065c5a8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UGUZ2BH4XF27645TNLXRZAQJAK/bundle.json","state_url":"https://pith.science/pith/UGUZ2BH4XF27645TNLXRZAQJAK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UGUZ2BH4XF27645TNLXRZAQJAK/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":"2026-08-04T17:55:05Z","links":{"resolver":"https://pith.science/pith/UGUZ2BH4XF27645TNLXRZAQJAK","bundle":"https://pith.science/pith/UGUZ2BH4XF27645TNLXRZAQJAK/bundle.json","state":"https://pith.science/pith/UGUZ2BH4XF27645TNLXRZAQJAK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UGUZ2BH4XF27645TNLXRZAQJAK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:UGUZ2BH4XF27645TNLXRZAQJAK","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":"a6cb961061df0dddf41e0413a8f42df240ca71ae5a34b452b58c97e0a35f0d4f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-07-29T11:36:38Z","title_canon_sha256":"f2c10d38f4b16c65f85069426591bfb26e80b76186cd3285ed880383235b48b8"},"schema_version":"1.0","source":{"id":"2307.15960","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.15960","created_at":"2026-07-05T06:35:57Z"},{"alias_kind":"arxiv_version","alias_value":"2307.15960v1","created_at":"2026-07-05T06:35:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.15960","created_at":"2026-07-05T06:35:57Z"},{"alias_kind":"pith_short_12","alias_value":"UGUZ2BH4XF27","created_at":"2026-07-05T06:35:57Z"},{"alias_kind":"pith_short_16","alias_value":"UGUZ2BH4XF27645T","created_at":"2026-07-05T06:35:57Z"},{"alias_kind":"pith_short_8","alias_value":"UGUZ2BH4","created_at":"2026-07-05T06:35:57Z"}],"graph_snapshots":[{"event_id":"sha256:8ecdb1f419f47e72bcee847be8f55b39622961e7584feca695e14ad96065c5a8","target":"graph","created_at":"2026-07-05T06:35:57Z","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/2307.15960/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recommender systems are important for providing personalized services to users, but the vast amount of collected user data has raised concerns about privacy (e.g., sensitive data), security (e.g., malicious data) and utility (e.g., toxic data). To address these challenges, recommendation unlearning has emerged as a promising approach, which allows specific data and models to be forgotten, mitigating the risks of sensitive/malicious/toxic user data. However, existing methods often struggle to balance completeness, utility, and efficiency, i.e., compromising one for the other, leading to subopti","authors_text":"Dongsheng Li, Hansu Gu, Jiahao Liu, Jiongran Wu, Li Shang, Ning Gu, Peng Zhang, Tun Lu","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-07-29T11:36:38Z","title":"Recommendation Unlearning via Matrix Correction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.15960","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":"sha256:2b0fe5a15f5aba2bb07e701ae16bd95eb44c18b708c1ad8dee48f6df25796709","target":"record","created_at":"2026-07-05T06:35:57Z","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":"a6cb961061df0dddf41e0413a8f42df240ca71ae5a34b452b58c97e0a35f0d4f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2023-07-29T11:36:38Z","title_canon_sha256":"f2c10d38f4b16c65f85069426591bfb26e80b76186cd3285ed880383235b48b8"},"schema_version":"1.0","source":{"id":"2307.15960","kind":"arxiv","version":1}},"canonical_sha256":"a1a99d04fcb975ff73b36aef1c820902842cf38cfad40d96c646c1bcd931798c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a1a99d04fcb975ff73b36aef1c820902842cf38cfad40d96c646c1bcd931798c","first_computed_at":"2026-07-05T06:35:57.140268Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:35:57.140268Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Vp7PaFhlI/OYKUVqMA4l/BfWN7Y/lFTPIgnC6EVj0YV39pFTCQRGh7tZxzAv4OHsMK4cMC9y7J3ZbfxOGSKKBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:35:57.140738Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.15960","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b0fe5a15f5aba2bb07e701ae16bd95eb44c18b708c1ad8dee48f6df25796709","sha256:8ecdb1f419f47e72bcee847be8f55b39622961e7584feca695e14ad96065c5a8"],"state_sha256":"fb9e54fc9e67019cfdc41efba1be349cfc940117e18b775b957474c1c4ec3bbe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"COXOfB+4+VbAOqxakbb54CyPDI5Ewy6hwuntBPZh0p8vG2f971g2TcEt9mLPhwSluOv0kp/PALFuH7S7x9WIDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T17:55:05.785398Z","bundle_sha256":"cf306df6aec347b678ab20257558a6f6b8115414fd522e3e95ac26f071a4752e"}}