{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ECXTWMWPZSNA3PUFG4D73IRPI5","short_pith_number":"pith:ECXTWMWP","canonical_record":{"source":{"id":"2502.17591","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-24T19:16:39Z","cross_cats_sorted":[],"title_canon_sha256":"479381d8703af0e9db7fbadb11cfdd28bb0fb78af23414db11390eb90724d406","abstract_canon_sha256":"32d9f40b2273ffe4449226c5a9476f83fe093b9893cce86cb1e3593233d5a857"},"schema_version":"1.0"},"canonical_sha256":"20af3b32cfcc9a0dbe853707fda22f475069548c11498f2616eb776b481aff8e","source":{"kind":"arxiv","id":"2502.17591","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.17591","created_at":"2026-07-05T10:28:36Z"},{"alias_kind":"arxiv_version","alias_value":"2502.17591v2","created_at":"2026-07-05T10:28:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.17591","created_at":"2026-07-05T10:28:36Z"},{"alias_kind":"pith_short_12","alias_value":"ECXTWMWPZSNA","created_at":"2026-07-05T10:28:36Z"},{"alias_kind":"pith_short_16","alias_value":"ECXTWMWPZSNA3PUF","created_at":"2026-07-05T10:28:36Z"},{"alias_kind":"pith_short_8","alias_value":"ECXTWMWP","created_at":"2026-07-05T10:28:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ECXTWMWPZSNA3PUFG4D73IRPI5","target":"record","payload":{"canonical_record":{"source":{"id":"2502.17591","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-24T19:16:39Z","cross_cats_sorted":[],"title_canon_sha256":"479381d8703af0e9db7fbadb11cfdd28bb0fb78af23414db11390eb90724d406","abstract_canon_sha256":"32d9f40b2273ffe4449226c5a9476f83fe093b9893cce86cb1e3593233d5a857"},"schema_version":"1.0"},"canonical_sha256":"20af3b32cfcc9a0dbe853707fda22f475069548c11498f2616eb776b481aff8e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:28:36.832999Z","signature_b64":"IiX8u+C+GGbXE/9UAOsp03MJ41Z6GxHb74o6p//neBNroDGkrYzuNnJxikfb1PK7Qu7q11ccS+NyUooA2REKAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"20af3b32cfcc9a0dbe853707fda22f475069548c11498f2616eb776b481aff8e","last_reissued_at":"2026-07-05T10:28:36.832364Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:28:36.832364Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.17591","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":"2026-07-05T10:28:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZwSFMs+eu3bJGLwwzdffTKiv0cGK65FKKNoDj+X7Vg4InHe8ZLFMMO/AYSGjUQUqscsNB00YwoTDdM/jrghaBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T03:35:38.327849Z"},"content_sha256":"b72f55068441f3c6d6c221ae6c3a0c7c08d3faa584975f02ef2bbb81b28fb67b","schema_version":"1.0","event_id":"sha256:b72f55068441f3c6d6c221ae6c3a0c7c08d3faa584975f02ef2bbb81b28fb67b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ECXTWMWPZSNA3PUFG4D73IRPI5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Amin Hass, Aolin Ding, Hai Li, Jianyi Zhang, Jingwei Sun, Jingyang Zhang, Louis DiValentin, Martin Kuo, Minxue Tang, Tianlong Chen, William Chen, Yiran Chen","submitted_at":"2025-02-24T19:16:39Z","abstract_excerpt":"With the rise of large language models (LLMs), increasing research has recognized their risk of leaking personally identifiable information (PII) under malicious attacks. Although efforts have been made to protect PII in LLMs, existing methods struggle to balance privacy protection with maintaining model utility. In this paper, inspired by studies of amnesia in cognitive science, we propose a novel approach, Proactive Privacy Amnesia (PPA), to safeguard PII in LLMs while preserving their utility. This mechanism works by actively identifying and forgetting key memories most closely associated w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.17591","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/2502.17591/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":"2026-07-05T10:28:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"879HAqulXMV6dJSRK7dCO/HOiuIHUOgvxXXwNkdLvfkTcYQhpPpbQYn19GSAnO+/GX1VGvxtmfHPvzmChuJaAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T03:35:38.328222Z"},"content_sha256":"064b7164bb4a288862c42de71c82f066d6f0f8f61577bce3e575ffe8e581d53e","schema_version":"1.0","event_id":"sha256:064b7164bb4a288862c42de71c82f066d6f0f8f61577bce3e575ffe8e581d53e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ECXTWMWPZSNA3PUFG4D73IRPI5/bundle.json","state_url":"https://pith.science/pith/ECXTWMWPZSNA3PUFG4D73IRPI5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ECXTWMWPZSNA3PUFG4D73IRPI5/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":"2026-07-09T03:35:38Z","links":{"resolver":"https://pith.science/pith/ECXTWMWPZSNA3PUFG4D73IRPI5","bundle":"https://pith.science/pith/ECXTWMWPZSNA3PUFG4D73IRPI5/bundle.json","state":"https://pith.science/pith/ECXTWMWPZSNA3PUFG4D73IRPI5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ECXTWMWPZSNA3PUFG4D73IRPI5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ECXTWMWPZSNA3PUFG4D73IRPI5","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":"32d9f40b2273ffe4449226c5a9476f83fe093b9893cce86cb1e3593233d5a857","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-24T19:16:39Z","title_canon_sha256":"479381d8703af0e9db7fbadb11cfdd28bb0fb78af23414db11390eb90724d406"},"schema_version":"1.0","source":{"id":"2502.17591","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.17591","created_at":"2026-07-05T10:28:36Z"},{"alias_kind":"arxiv_version","alias_value":"2502.17591v2","created_at":"2026-07-05T10:28:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.17591","created_at":"2026-07-05T10:28:36Z"},{"alias_kind":"pith_short_12","alias_value":"ECXTWMWPZSNA","created_at":"2026-07-05T10:28:36Z"},{"alias_kind":"pith_short_16","alias_value":"ECXTWMWPZSNA3PUF","created_at":"2026-07-05T10:28:36Z"},{"alias_kind":"pith_short_8","alias_value":"ECXTWMWP","created_at":"2026-07-05T10:28:36Z"}],"graph_snapshots":[{"event_id":"sha256:064b7164bb4a288862c42de71c82f066d6f0f8f61577bce3e575ffe8e581d53e","target":"graph","created_at":"2026-07-05T10:28:36Z","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/2502.17591/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the rise of large language models (LLMs), increasing research has recognized their risk of leaking personally identifiable information (PII) under malicious attacks. Although efforts have been made to protect PII in LLMs, existing methods struggle to balance privacy protection with maintaining model utility. In this paper, inspired by studies of amnesia in cognitive science, we propose a novel approach, Proactive Privacy Amnesia (PPA), to safeguard PII in LLMs while preserving their utility. This mechanism works by actively identifying and forgetting key memories most closely associated w","authors_text":"Amin Hass, Aolin Ding, Hai Li, Jianyi Zhang, Jingwei Sun, Jingyang Zhang, Louis DiValentin, Martin Kuo, Minxue Tang, Tianlong Chen, William Chen, Yiran Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-24T19:16:39Z","title":"Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.17591","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:b72f55068441f3c6d6c221ae6c3a0c7c08d3faa584975f02ef2bbb81b28fb67b","target":"record","created_at":"2026-07-05T10:28:36Z","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":"32d9f40b2273ffe4449226c5a9476f83fe093b9893cce86cb1e3593233d5a857","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-24T19:16:39Z","title_canon_sha256":"479381d8703af0e9db7fbadb11cfdd28bb0fb78af23414db11390eb90724d406"},"schema_version":"1.0","source":{"id":"2502.17591","kind":"arxiv","version":2}},"canonical_sha256":"20af3b32cfcc9a0dbe853707fda22f475069548c11498f2616eb776b481aff8e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"20af3b32cfcc9a0dbe853707fda22f475069548c11498f2616eb776b481aff8e","first_computed_at":"2026-07-05T10:28:36.832364Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:28:36.832364Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IiX8u+C+GGbXE/9UAOsp03MJ41Z6GxHb74o6p//neBNroDGkrYzuNnJxikfb1PK7Qu7q11ccS+NyUooA2REKAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:28:36.832999Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.17591","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b72f55068441f3c6d6c221ae6c3a0c7c08d3faa584975f02ef2bbb81b28fb67b","sha256:064b7164bb4a288862c42de71c82f066d6f0f8f61577bce3e575ffe8e581d53e"],"state_sha256":"d335977deca88a6f76c05be429885edfcb3188b95073f187e972c9c04f9cef3d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZpMLW3yfuRMJ1AEje9G4nlP1PSGRDhcYuL3ZJzYnsLUzI9StSk2lZ1VJmEioIJdtzZcLP3BTZvtLO4HTUgaoAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T03:35:38.330235Z","bundle_sha256":"a2c3eb1d3bbced018347374d6a01605d37c2103c53b1ef5663bde709fb8d283d"}}