{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6C6YDZNAK5GYRCTJKNDWJE5HME","short_pith_number":"pith:6C6YDZNA","canonical_record":{"source":{"id":"2504.12681","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-04-17T06:16:32Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c982952d3224f6bc613f1b22faa87a0e40c0b89dc2854b65bcd5256da0ab751e","abstract_canon_sha256":"8d3a4e6bd98dff5726b049d1e2a4dc0f573562d61877b6f99933296183a4868a"},"schema_version":"1.0"},"canonical_sha256":"f0bd81e5a0574d888a6953476493a76133dd9d2c3db2160d895363b632915cfa","source":{"kind":"arxiv","id":"2504.12681","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.12681","created_at":"2026-07-05T10:50:20Z"},{"alias_kind":"arxiv_version","alias_value":"2504.12681v1","created_at":"2026-07-05T10:50:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.12681","created_at":"2026-07-05T10:50:20Z"},{"alias_kind":"pith_short_12","alias_value":"6C6YDZNAK5GY","created_at":"2026-07-05T10:50:20Z"},{"alias_kind":"pith_short_16","alias_value":"6C6YDZNAK5GYRCTJ","created_at":"2026-07-05T10:50:20Z"},{"alias_kind":"pith_short_8","alias_value":"6C6YDZNA","created_at":"2026-07-05T10:50:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6C6YDZNAK5GYRCTJKNDWJE5HME","target":"record","payload":{"canonical_record":{"source":{"id":"2504.12681","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-04-17T06:16:32Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c982952d3224f6bc613f1b22faa87a0e40c0b89dc2854b65bcd5256da0ab751e","abstract_canon_sha256":"8d3a4e6bd98dff5726b049d1e2a4dc0f573562d61877b6f99933296183a4868a"},"schema_version":"1.0"},"canonical_sha256":"f0bd81e5a0574d888a6953476493a76133dd9d2c3db2160d895363b632915cfa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:50:20.536822Z","signature_b64":"jYfK2Ka6GluQcyt4TArqDeLKhKr73wW1sBgiZP+c4QqCjxHVnTclDDJl0mojJFe0eg4CaQgh41IdWoP4qUTfDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f0bd81e5a0574d888a6953476493a76133dd9d2c3db2160d895363b632915cfa","last_reissued_at":"2026-07-05T10:50:20.536199Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:50:20.536199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.12681","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":"2026-07-05T10:50:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L3wNE2UOlH3X1URqGptWz9UfGYsdVA0Tm+zL6LYAZl9OoOq50QVMYSRFLowwmLo6HTxB+DLATYVhphuC5abEBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T14:11:03.982383Z"},"content_sha256":"d62134b6b6a2f0030c63a591c3d628ae82040eb63a20032477fb5752c5949699","schema_version":"1.0","event_id":"sha256:d62134b6b6a2f0030c63a591c3d628ae82040eb63a20032477fb5752c5949699"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6C6YDZNAK5GYRCTJKNDWJE5HME","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Ji-Hoon Park, Ju-Min Han, Kun-Woo Kim, Seong-Whan Lee","submitted_at":"2025-04-17T06:16:32Z","abstract_excerpt":"Large Language Models (LLMs) trained on extensive datasets often learn sensitive information, which raises significant social and legal concerns under principles such as the \"Right to be forgotten.\" Retraining entire models from scratch to remove undesired information is both costly and impractical. Furthermore, existing single-domain unlearning methods fail to address multi-domain scenarios, where knowledge is interwoven across domains such as privacy and copyright, creating overlapping representations that lead to excessive knowledge removal or degraded performance. To tackle these issues, w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.12681","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/2504.12681/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":"2026-07-05T10:50:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/KCm6NcMOHOtYwM1EFG8icMc0ggAxr24zLOVw8YiKg0TifwO4Z++0Aa2jq9Cupvj6oOklodGSOshPOkG8mYkDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T14:11:03.983713Z"},"content_sha256":"2dc931603fbd30e09b46bf3d4cdc7c0aa2f4fe6c91fae429c48aa3a49f45311b","schema_version":"1.0","event_id":"sha256:2dc931603fbd30e09b46bf3d4cdc7c0aa2f4fe6c91fae429c48aa3a49f45311b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6C6YDZNAK5GYRCTJKNDWJE5HME/bundle.json","state_url":"https://pith.science/pith/6C6YDZNAK5GYRCTJKNDWJE5HME/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6C6YDZNAK5GYRCTJKNDWJE5HME/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":"2026-08-17T14:11:04Z","links":{"resolver":"https://pith.science/pith/6C6YDZNAK5GYRCTJKNDWJE5HME","bundle":"https://pith.science/pith/6C6YDZNAK5GYRCTJKNDWJE5HME/bundle.json","state":"https://pith.science/pith/6C6YDZNAK5GYRCTJKNDWJE5HME/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6C6YDZNAK5GYRCTJKNDWJE5HME/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6C6YDZNAK5GYRCTJKNDWJE5HME","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":"8d3a4e6bd98dff5726b049d1e2a4dc0f573562d61877b6f99933296183a4868a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-04-17T06:16:32Z","title_canon_sha256":"c982952d3224f6bc613f1b22faa87a0e40c0b89dc2854b65bcd5256da0ab751e"},"schema_version":"1.0","source":{"id":"2504.12681","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.12681","created_at":"2026-07-05T10:50:20Z"},{"alias_kind":"arxiv_version","alias_value":"2504.12681v1","created_at":"2026-07-05T10:50:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.12681","created_at":"2026-07-05T10:50:20Z"},{"alias_kind":"pith_short_12","alias_value":"6C6YDZNAK5GY","created_at":"2026-07-05T10:50:20Z"},{"alias_kind":"pith_short_16","alias_value":"6C6YDZNAK5GYRCTJ","created_at":"2026-07-05T10:50:20Z"},{"alias_kind":"pith_short_8","alias_value":"6C6YDZNA","created_at":"2026-07-05T10:50:20Z"}],"graph_snapshots":[{"event_id":"sha256:2dc931603fbd30e09b46bf3d4cdc7c0aa2f4fe6c91fae429c48aa3a49f45311b","target":"graph","created_at":"2026-07-05T10:50:20Z","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/2504.12681/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) trained on extensive datasets often learn sensitive information, which raises significant social and legal concerns under principles such as the \"Right to be forgotten.\" Retraining entire models from scratch to remove undesired information is both costly and impractical. Furthermore, existing single-domain unlearning methods fail to address multi-domain scenarios, where knowledge is interwoven across domains such as privacy and copyright, creating overlapping representations that lead to excessive knowledge removal or degraded performance. To tackle these issues, w","authors_text":"Ji-Hoon Park, Ju-Min Han, Kun-Woo Kim, Seong-Whan Lee","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-04-17T06:16:32Z","title":"GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.12681","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:d62134b6b6a2f0030c63a591c3d628ae82040eb63a20032477fb5752c5949699","target":"record","created_at":"2026-07-05T10:50:20Z","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":"8d3a4e6bd98dff5726b049d1e2a4dc0f573562d61877b6f99933296183a4868a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-04-17T06:16:32Z","title_canon_sha256":"c982952d3224f6bc613f1b22faa87a0e40c0b89dc2854b65bcd5256da0ab751e"},"schema_version":"1.0","source":{"id":"2504.12681","kind":"arxiv","version":1}},"canonical_sha256":"f0bd81e5a0574d888a6953476493a76133dd9d2c3db2160d895363b632915cfa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f0bd81e5a0574d888a6953476493a76133dd9d2c3db2160d895363b632915cfa","first_computed_at":"2026-07-05T10:50:20.536199Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:50:20.536199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jYfK2Ka6GluQcyt4TArqDeLKhKr73wW1sBgiZP+c4QqCjxHVnTclDDJl0mojJFe0eg4CaQgh41IdWoP4qUTfDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:50:20.536822Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.12681","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d62134b6b6a2f0030c63a591c3d628ae82040eb63a20032477fb5752c5949699","sha256:2dc931603fbd30e09b46bf3d4cdc7c0aa2f4fe6c91fae429c48aa3a49f45311b"],"state_sha256":"42d88965b0a8ea801a993f0e7938fbd9191778ee6a55d6370e46bdb559c1402d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yheqXW3TjQooR9Nq/ZZ09bJ5RdCnqrIf5YdbcwC0WqEt0p+ZK+Nf3lZ6GmprmJYvNKAjv2AfmODGDET2K/S0DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T14:11:04.067120Z","bundle_sha256":"035b455b1e6bb21bf62011321f66986ea1cec0ea3958e209866648a3213f8847"}}