{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RVUNVVHPX7GCBSYOT4OSG5KOJ3","short_pith_number":"pith:RVUNVVHP","canonical_record":{"source":{"id":"2406.00062","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-29T23:07:58Z","cross_cats_sorted":["cs.AI","cs.CR","cs.LG"],"title_canon_sha256":"1be5e10a99c6575c584a0bedaf14ee7e484a835aa3796b965159905cf58963a5","abstract_canon_sha256":"5ab07c84687347c474690734aa00f713f387c6a20bd0b6622581a54693d19f04"},"schema_version":"1.0"},"canonical_sha256":"8d68dad4efbfcc20cb0e9f1d23754e4ec04c140b2cb79ec7c0eb76183f479294","source":{"kind":"arxiv","id":"2406.00062","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.00062","created_at":"2026-07-05T08:27:09Z"},{"alias_kind":"arxiv_version","alias_value":"2406.00062v1","created_at":"2026-07-05T08:27:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.00062","created_at":"2026-07-05T08:27:09Z"},{"alias_kind":"pith_short_12","alias_value":"RVUNVVHPX7GC","created_at":"2026-07-05T08:27:09Z"},{"alias_kind":"pith_short_16","alias_value":"RVUNVVHPX7GCBSYO","created_at":"2026-07-05T08:27:09Z"},{"alias_kind":"pith_short_8","alias_value":"RVUNVVHP","created_at":"2026-07-05T08:27:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RVUNVVHPX7GCBSYOT4OSG5KOJ3","target":"record","payload":{"canonical_record":{"source":{"id":"2406.00062","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-29T23:07:58Z","cross_cats_sorted":["cs.AI","cs.CR","cs.LG"],"title_canon_sha256":"1be5e10a99c6575c584a0bedaf14ee7e484a835aa3796b965159905cf58963a5","abstract_canon_sha256":"5ab07c84687347c474690734aa00f713f387c6a20bd0b6622581a54693d19f04"},"schema_version":"1.0"},"canonical_sha256":"8d68dad4efbfcc20cb0e9f1d23754e4ec04c140b2cb79ec7c0eb76183f479294","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:27:09.575602Z","signature_b64":"JTxv3JpoKiV+LlMXrcbX0lrL/76jmQERy1vPiSMcENKAFPeGwsItC1KkNcVDlKXW1Zym1cafkIs2jsxH+UREDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8d68dad4efbfcc20cb0e9f1d23754e4ec04c140b2cb79ec7c0eb76183f479294","last_reissued_at":"2026-07-05T08:27:09.575119Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:27:09.575119Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.00062","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":"2026-07-05T08:27:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l5nCTzLNcQd+6SIAf/ufg3Bt30TuDd/10L5WciV7XZDp4UpNEe6n7IvKGv6z4Zs2j/ZrdHYw1UlYDaIX0ERiAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:58:40.956474Z"},"content_sha256":"11d1efb88719685748ad7b20f50e437731695f30b19f19ef8a266b52f7364222","schema_version":"1.0","event_id":"sha256:11d1efb88719685748ad7b20f50e437731695f30b19f19ef8a266b52f7364222"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RVUNVVHPX7GCBSYOT4OSG5KOJ3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CR","cs.LG"],"primary_cat":"cs.CL","authors_text":"Andr\\'e V. Carreiro, Bruno Ribeiro, David Pissarra, Duarte Pereira, Isabel Curioso, Jo\\~ao Alveira, Tom\\'as Souper, Vasco Gomes, Vitor Rolla","submitted_at":"2024-05-29T23:07:58Z","abstract_excerpt":"Automated clinical text anonymization has the potential to unlock the widespread sharing of textual health data for secondary usage while assuring patient privacy and safety. Despite the proposal of many complex and theoretically successful anonymization solutions in literature, these techniques remain flawed. As such, clinical institutions are still reluctant to apply them for open access to their data. Recent advances in developing Large Language Models (LLMs) pose a promising opportunity to further the field, given their capability to perform various tasks. This paper proposes six new evalu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.00062","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/2406.00062/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":"2026-07-05T08:27:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XwLO2rAkbth91cEViEm9IRtGPmgFXt70BOIkWj423x1UKWhcAeDEAH0RQsK3hZpIlLeqGL9SQC4iS3ne2FJWCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:58:40.957346Z"},"content_sha256":"a2fae8f04b9604b4bbc5dd35278332ddc7210fc7125a8a1d38ff2783cbcad7d8","schema_version":"1.0","event_id":"sha256:a2fae8f04b9604b4bbc5dd35278332ddc7210fc7125a8a1d38ff2783cbcad7d8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RVUNVVHPX7GCBSYOT4OSG5KOJ3/bundle.json","state_url":"https://pith.science/pith/RVUNVVHPX7GCBSYOT4OSG5KOJ3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RVUNVVHPX7GCBSYOT4OSG5KOJ3/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":"2026-08-05T22:58:40Z","links":{"resolver":"https://pith.science/pith/RVUNVVHPX7GCBSYOT4OSG5KOJ3","bundle":"https://pith.science/pith/RVUNVVHPX7GCBSYOT4OSG5KOJ3/bundle.json","state":"https://pith.science/pith/RVUNVVHPX7GCBSYOT4OSG5KOJ3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RVUNVVHPX7GCBSYOT4OSG5KOJ3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RVUNVVHPX7GCBSYOT4OSG5KOJ3","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":"5ab07c84687347c474690734aa00f713f387c6a20bd0b6622581a54693d19f04","cross_cats_sorted":["cs.AI","cs.CR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-29T23:07:58Z","title_canon_sha256":"1be5e10a99c6575c584a0bedaf14ee7e484a835aa3796b965159905cf58963a5"},"schema_version":"1.0","source":{"id":"2406.00062","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.00062","created_at":"2026-07-05T08:27:09Z"},{"alias_kind":"arxiv_version","alias_value":"2406.00062v1","created_at":"2026-07-05T08:27:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.00062","created_at":"2026-07-05T08:27:09Z"},{"alias_kind":"pith_short_12","alias_value":"RVUNVVHPX7GC","created_at":"2026-07-05T08:27:09Z"},{"alias_kind":"pith_short_16","alias_value":"RVUNVVHPX7GCBSYO","created_at":"2026-07-05T08:27:09Z"},{"alias_kind":"pith_short_8","alias_value":"RVUNVVHP","created_at":"2026-07-05T08:27:09Z"}],"graph_snapshots":[{"event_id":"sha256:a2fae8f04b9604b4bbc5dd35278332ddc7210fc7125a8a1d38ff2783cbcad7d8","target":"graph","created_at":"2026-07-05T08:27:09Z","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/2406.00062/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automated clinical text anonymization has the potential to unlock the widespread sharing of textual health data for secondary usage while assuring patient privacy and safety. Despite the proposal of many complex and theoretically successful anonymization solutions in literature, these techniques remain flawed. As such, clinical institutions are still reluctant to apply them for open access to their data. Recent advances in developing Large Language Models (LLMs) pose a promising opportunity to further the field, given their capability to perform various tasks. This paper proposes six new evalu","authors_text":"Andr\\'e V. Carreiro, Bruno Ribeiro, David Pissarra, Duarte Pereira, Isabel Curioso, Jo\\~ao Alveira, Tom\\'as Souper, Vasco Gomes, Vitor Rolla","cross_cats":["cs.AI","cs.CR","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-29T23:07:58Z","title":"Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.00062","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":"sha256:11d1efb88719685748ad7b20f50e437731695f30b19f19ef8a266b52f7364222","target":"record","created_at":"2026-07-05T08:27:09Z","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":"5ab07c84687347c474690734aa00f713f387c6a20bd0b6622581a54693d19f04","cross_cats_sorted":["cs.AI","cs.CR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-29T23:07:58Z","title_canon_sha256":"1be5e10a99c6575c584a0bedaf14ee7e484a835aa3796b965159905cf58963a5"},"schema_version":"1.0","source":{"id":"2406.00062","kind":"arxiv","version":1}},"canonical_sha256":"8d68dad4efbfcc20cb0e9f1d23754e4ec04c140b2cb79ec7c0eb76183f479294","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8d68dad4efbfcc20cb0e9f1d23754e4ec04c140b2cb79ec7c0eb76183f479294","first_computed_at":"2026-07-05T08:27:09.575119Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:27:09.575119Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JTxv3JpoKiV+LlMXrcbX0lrL/76jmQERy1vPiSMcENKAFPeGwsItC1KkNcVDlKXW1Zym1cafkIs2jsxH+UREDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:27:09.575602Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.00062","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:11d1efb88719685748ad7b20f50e437731695f30b19f19ef8a266b52f7364222","sha256:a2fae8f04b9604b4bbc5dd35278332ddc7210fc7125a8a1d38ff2783cbcad7d8"],"state_sha256":"1c77139702c3bc965e1479b3090600f339ea2292de165a09d8e6ece6b3344b9e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JIJO9GL9XHfJLvUkVafoy9aOMZyyWbH7LmceLYXmYB7m5PNUUsJXcil7MiYqQniW6wVkztSfyuK6rZ3S/weABQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T22:58:40.963352Z","bundle_sha256":"f6920186c33b5761e6dc70572ce1410aa4933aa6061297f60ac9bc4b6345a22e"}}