{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:VTCN4PWAF2FVVWUQJZRYCV6D5L","short_pith_number":"pith:VTCN4PWA","canonical_record":{"source":{"id":"2405.09153","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-15T07:32:43Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c2d69ebb32d50959157d8012f3a7aff4e2ad2493a79ebf6ce0a7819952ecbbb0","abstract_canon_sha256":"8f6869bdf850109383ef5f9ed5d994bf6787f8a3875eaf541f198c0647b21be3"},"schema_version":"1.0"},"canonical_sha256":"acc4de3ec02e8b5ada904e638157c3ead941159149c574493103cf695014323b","source":{"kind":"arxiv","id":"2405.09153","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.09153","created_at":"2026-07-05T08:19:26Z"},{"alias_kind":"arxiv_version","alias_value":"2405.09153v1","created_at":"2026-07-05T08:19:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.09153","created_at":"2026-07-05T08:19:26Z"},{"alias_kind":"pith_short_12","alias_value":"VTCN4PWAF2FV","created_at":"2026-07-05T08:19:26Z"},{"alias_kind":"pith_short_16","alias_value":"VTCN4PWAF2FVVWUQ","created_at":"2026-07-05T08:19:26Z"},{"alias_kind":"pith_short_8","alias_value":"VTCN4PWA","created_at":"2026-07-05T08:19:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:VTCN4PWAF2FVVWUQJZRYCV6D5L","target":"record","payload":{"canonical_record":{"source":{"id":"2405.09153","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-15T07:32:43Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c2d69ebb32d50959157d8012f3a7aff4e2ad2493a79ebf6ce0a7819952ecbbb0","abstract_canon_sha256":"8f6869bdf850109383ef5f9ed5d994bf6787f8a3875eaf541f198c0647b21be3"},"schema_version":"1.0"},"canonical_sha256":"acc4de3ec02e8b5ada904e638157c3ead941159149c574493103cf695014323b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:19:26.329213Z","signature_b64":"IlhGnGrvOgNwthW5ljn/PN/TblKdevQOXt7t+icccAIcTKkjspH8D3oBFPRvDKRGdCKzbwqTHKqnv4b8QeLmBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"acc4de3ec02e8b5ada904e638157c3ead941159149c574493103cf695014323b","last_reissued_at":"2026-07-05T08:19:26.328773Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:19:26.328773Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.09153","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":"2026-07-05T08:19:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9TDm3rcyhHH1nfqIILvDlwy0uNhCD1FnJXexfohXmLBH7C13v+uTYcEf+XFEBCDlUKroMp6cvDA0+iwgENNNDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:07:24.840732Z"},"content_sha256":"0b06759d5bbd3a889f50ef0d3282ab26ead4a2078b541fe53e50dab5964f0ebe","schema_version":"1.0","event_id":"sha256:0b06759d5bbd3a889f50ef0d3282ab26ead4a2078b541fe53e50dab5964f0ebe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:VTCN4PWAF2FVVWUQJZRYCV6D5L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adapting Abstract Meaning Representation Parsing to the Clinical Narrative -- the SPRING THYME parser","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Guergana K. Savova, James H. Martin, Jon Z. Cai, Kristin Wright-Bettner, Martha Palmer","submitted_at":"2024-05-15T07:32:43Z","abstract_excerpt":"This paper is dedicated to the design and evaluation of the first AMR parser tailored for clinical notes. Our objective was to facilitate the precise transformation of the clinical notes into structured AMR expressions, thereby enhancing the interpretability and usability of clinical text data at scale. Leveraging the colon cancer dataset from the Temporal Histories of Your Medical Events (THYME) corpus, we adapted a state-of-the-art AMR parser utilizing continuous training. Our approach incorporates data augmentation techniques to enhance the accuracy of AMR structure predictions. Notably, th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.09153","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/2405.09153/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":"2026-07-05T08:19:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZpapnWG7Zyu7Opq6sfNBySV7Hps8hPe7eVnhruy6nlCeig4bV7kRDdoG9QEdYQ97qNWTwkRNMziSky36AuEoCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:07:24.841090Z"},"content_sha256":"d451f05c37db12b6f5fa69d912b81b62783afdff54017ba36e0f4787fea55323","schema_version":"1.0","event_id":"sha256:d451f05c37db12b6f5fa69d912b81b62783afdff54017ba36e0f4787fea55323"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VTCN4PWAF2FVVWUQJZRYCV6D5L/bundle.json","state_url":"https://pith.science/pith/VTCN4PWAF2FVVWUQJZRYCV6D5L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VTCN4PWAF2FVVWUQJZRYCV6D5L/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":"2026-07-07T11:07:24Z","links":{"resolver":"https://pith.science/pith/VTCN4PWAF2FVVWUQJZRYCV6D5L","bundle":"https://pith.science/pith/VTCN4PWAF2FVVWUQJZRYCV6D5L/bundle.json","state":"https://pith.science/pith/VTCN4PWAF2FVVWUQJZRYCV6D5L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VTCN4PWAF2FVVWUQJZRYCV6D5L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VTCN4PWAF2FVVWUQJZRYCV6D5L","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":"8f6869bdf850109383ef5f9ed5d994bf6787f8a3875eaf541f198c0647b21be3","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-15T07:32:43Z","title_canon_sha256":"c2d69ebb32d50959157d8012f3a7aff4e2ad2493a79ebf6ce0a7819952ecbbb0"},"schema_version":"1.0","source":{"id":"2405.09153","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.09153","created_at":"2026-07-05T08:19:26Z"},{"alias_kind":"arxiv_version","alias_value":"2405.09153v1","created_at":"2026-07-05T08:19:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.09153","created_at":"2026-07-05T08:19:26Z"},{"alias_kind":"pith_short_12","alias_value":"VTCN4PWAF2FV","created_at":"2026-07-05T08:19:26Z"},{"alias_kind":"pith_short_16","alias_value":"VTCN4PWAF2FVVWUQ","created_at":"2026-07-05T08:19:26Z"},{"alias_kind":"pith_short_8","alias_value":"VTCN4PWA","created_at":"2026-07-05T08:19:26Z"}],"graph_snapshots":[{"event_id":"sha256:d451f05c37db12b6f5fa69d912b81b62783afdff54017ba36e0f4787fea55323","target":"graph","created_at":"2026-07-05T08:19:26Z","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/2405.09153/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper is dedicated to the design and evaluation of the first AMR parser tailored for clinical notes. Our objective was to facilitate the precise transformation of the clinical notes into structured AMR expressions, thereby enhancing the interpretability and usability of clinical text data at scale. Leveraging the colon cancer dataset from the Temporal Histories of Your Medical Events (THYME) corpus, we adapted a state-of-the-art AMR parser utilizing continuous training. Our approach incorporates data augmentation techniques to enhance the accuracy of AMR structure predictions. Notably, th","authors_text":"Guergana K. Savova, James H. Martin, Jon Z. Cai, Kristin Wright-Bettner, Martha Palmer","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-15T07:32:43Z","title":"Adapting Abstract Meaning Representation Parsing to the Clinical Narrative -- the SPRING THYME parser"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.09153","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":"sha256:0b06759d5bbd3a889f50ef0d3282ab26ead4a2078b541fe53e50dab5964f0ebe","target":"record","created_at":"2026-07-05T08:19:26Z","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":"8f6869bdf850109383ef5f9ed5d994bf6787f8a3875eaf541f198c0647b21be3","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-15T07:32:43Z","title_canon_sha256":"c2d69ebb32d50959157d8012f3a7aff4e2ad2493a79ebf6ce0a7819952ecbbb0"},"schema_version":"1.0","source":{"id":"2405.09153","kind":"arxiv","version":1}},"canonical_sha256":"acc4de3ec02e8b5ada904e638157c3ead941159149c574493103cf695014323b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"acc4de3ec02e8b5ada904e638157c3ead941159149c574493103cf695014323b","first_computed_at":"2026-07-05T08:19:26.328773Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:19:26.328773Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IlhGnGrvOgNwthW5ljn/PN/TblKdevQOXt7t+icccAIcTKkjspH8D3oBFPRvDKRGdCKzbwqTHKqnv4b8QeLmBg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:19:26.329213Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.09153","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0b06759d5bbd3a889f50ef0d3282ab26ead4a2078b541fe53e50dab5964f0ebe","sha256:d451f05c37db12b6f5fa69d912b81b62783afdff54017ba36e0f4787fea55323"],"state_sha256":"3cc68956efaa947b126e20acbad940fb057420f78cedb00da585da5425b506f9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aiIHhax/lhrqWuyUpbMzQ6I3eTf3Dr07JQuC+B0yKUNXBi3exZM2UdiUiEa+81aN7eepS5c1cdbS7bnKUIetCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:07:24.842962Z","bundle_sha256":"9af0c7780040311fdbab0eb8b83d3c355b7d20747802e8518c7295ea07bec4d6"}}