{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:OSNAP2AMZ5FLIKZCZH2V64SWGN","short_pith_number":"pith:OSNAP2AM","canonical_record":{"source":{"id":"2506.03321","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DL","submitted_at":"2025-06-03T19:06:51Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f2997fcff9d768facb8cb1e20bc934ae095c9296295554eb4ac33b580014bac2","abstract_canon_sha256":"2798d5fb0bc42308a60ddc58fa2cf1d1997c979f27998359dc13a98e0cabe005"},"schema_version":"1.0"},"canonical_sha256":"749a07e80ccf4ab42b22c9f55f7256334313bd35d682459b2434e5f2fb535d77","source":{"kind":"arxiv","id":"2506.03321","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.03321","created_at":"2026-07-05T11:15:25Z"},{"alias_kind":"arxiv_version","alias_value":"2506.03321v1","created_at":"2026-07-05T11:15:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.03321","created_at":"2026-07-05T11:15:25Z"},{"alias_kind":"pith_short_12","alias_value":"OSNAP2AMZ5FL","created_at":"2026-07-05T11:15:25Z"},{"alias_kind":"pith_short_16","alias_value":"OSNAP2AMZ5FLIKZC","created_at":"2026-07-05T11:15:25Z"},{"alias_kind":"pith_short_8","alias_value":"OSNAP2AM","created_at":"2026-07-05T11:15:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:OSNAP2AMZ5FLIKZCZH2V64SWGN","target":"record","payload":{"canonical_record":{"source":{"id":"2506.03321","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DL","submitted_at":"2025-06-03T19:06:51Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f2997fcff9d768facb8cb1e20bc934ae095c9296295554eb4ac33b580014bac2","abstract_canon_sha256":"2798d5fb0bc42308a60ddc58fa2cf1d1997c979f27998359dc13a98e0cabe005"},"schema_version":"1.0"},"canonical_sha256":"749a07e80ccf4ab42b22c9f55f7256334313bd35d682459b2434e5f2fb535d77","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:15:25.085439Z","signature_b64":"cUBJ0Wjfi0ON1BygTziVH4JT0U1XS+fj45D7MZL8MCh8XYgjzY0qoppCuTBuz5VGQbsjFEkUnJtxwSXsppT2Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"749a07e80ccf4ab42b22c9f55f7256334313bd35d682459b2434e5f2fb535d77","last_reissued_at":"2026-07-05T11:15:25.084901Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:15:25.084901Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.03321","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":"2026-07-05T11:15:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j7mOHsBp6kkUg/EMucXzmrK47Yp42cuVx3AS/Kh8pENXtk4ysM8dUTmmSUq/MTLrmwk1YaUWZ1n2t64RbsbOCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T20:55:29.078073Z"},"content_sha256":"c33c2b06ebd886b7c48b15c4a1f830a971214636e97fd11e778782a6462a7f16","schema_version":"1.0","event_id":"sha256:c33c2b06ebd886b7c48b15c4a1f830a971214636e97fd11e778782a6462a7f16"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:OSNAP2AMZ5FLIKZCZH2V64SWGN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Automatic PT Tagging for MEDLINE Citations Using Transformer-Based Models","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.DL","authors_text":"James Mork, Victor H. Cid","submitted_at":"2025-06-03T19:06:51Z","abstract_excerpt":"We investigated the feasibility of predicting Medical Subject Headings (MeSH) Publication Types (PTs) from MEDLINE citation metadata using pre-trained Transformer-based models BERT and DistilBERT. This study addresses limitations in the current automated indexing process, which relies on legacy NLP algorithms. We evaluated monolithic multi-label classifiers and binary classifier ensembles to enhance the retrieval of biomedical literature. Results demonstrate the potential of Transformer models to significantly improve PT tagging accuracy, paving the way for scalable, efficient biomedical index"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.03321","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/2506.03321/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":"2026-07-05T11:15:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jb8EkKAKnxDu3TxTUMvpp7/V0v43bc2GLNwguz3ZYfmMb771BKmQZuQ/LX1iQ6vzR/zWJ1A7R+wE0fvEb66IAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T20:55:29.078452Z"},"content_sha256":"4bf7552af8623594bb6da0d048bb1d1c8e8f18e3bb1f7bb861459e33842fab27","schema_version":"1.0","event_id":"sha256:4bf7552af8623594bb6da0d048bb1d1c8e8f18e3bb1f7bb861459e33842fab27"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OSNAP2AMZ5FLIKZCZH2V64SWGN/bundle.json","state_url":"https://pith.science/pith/OSNAP2AMZ5FLIKZCZH2V64SWGN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OSNAP2AMZ5FLIKZCZH2V64SWGN/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":"2026-08-07T20:55:29Z","links":{"resolver":"https://pith.science/pith/OSNAP2AMZ5FLIKZCZH2V64SWGN","bundle":"https://pith.science/pith/OSNAP2AMZ5FLIKZCZH2V64SWGN/bundle.json","state":"https://pith.science/pith/OSNAP2AMZ5FLIKZCZH2V64SWGN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OSNAP2AMZ5FLIKZCZH2V64SWGN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OSNAP2AMZ5FLIKZCZH2V64SWGN","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":"2798d5fb0bc42308a60ddc58fa2cf1d1997c979f27998359dc13a98e0cabe005","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DL","submitted_at":"2025-06-03T19:06:51Z","title_canon_sha256":"f2997fcff9d768facb8cb1e20bc934ae095c9296295554eb4ac33b580014bac2"},"schema_version":"1.0","source":{"id":"2506.03321","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.03321","created_at":"2026-07-05T11:15:25Z"},{"alias_kind":"arxiv_version","alias_value":"2506.03321v1","created_at":"2026-07-05T11:15:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.03321","created_at":"2026-07-05T11:15:25Z"},{"alias_kind":"pith_short_12","alias_value":"OSNAP2AMZ5FL","created_at":"2026-07-05T11:15:25Z"},{"alias_kind":"pith_short_16","alias_value":"OSNAP2AMZ5FLIKZC","created_at":"2026-07-05T11:15:25Z"},{"alias_kind":"pith_short_8","alias_value":"OSNAP2AM","created_at":"2026-07-05T11:15:25Z"}],"graph_snapshots":[{"event_id":"sha256:4bf7552af8623594bb6da0d048bb1d1c8e8f18e3bb1f7bb861459e33842fab27","target":"graph","created_at":"2026-07-05T11:15:25Z","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/2506.03321/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We investigated the feasibility of predicting Medical Subject Headings (MeSH) Publication Types (PTs) from MEDLINE citation metadata using pre-trained Transformer-based models BERT and DistilBERT. This study addresses limitations in the current automated indexing process, which relies on legacy NLP algorithms. We evaluated monolithic multi-label classifiers and binary classifier ensembles to enhance the retrieval of biomedical literature. Results demonstrate the potential of Transformer models to significantly improve PT tagging accuracy, paving the way for scalable, efficient biomedical index","authors_text":"James Mork, Victor H. Cid","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DL","submitted_at":"2025-06-03T19:06:51Z","title":"Enhancing Automatic PT Tagging for MEDLINE Citations Using Transformer-Based Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.03321","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:c33c2b06ebd886b7c48b15c4a1f830a971214636e97fd11e778782a6462a7f16","target":"record","created_at":"2026-07-05T11:15:25Z","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":"2798d5fb0bc42308a60ddc58fa2cf1d1997c979f27998359dc13a98e0cabe005","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DL","submitted_at":"2025-06-03T19:06:51Z","title_canon_sha256":"f2997fcff9d768facb8cb1e20bc934ae095c9296295554eb4ac33b580014bac2"},"schema_version":"1.0","source":{"id":"2506.03321","kind":"arxiv","version":1}},"canonical_sha256":"749a07e80ccf4ab42b22c9f55f7256334313bd35d682459b2434e5f2fb535d77","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"749a07e80ccf4ab42b22c9f55f7256334313bd35d682459b2434e5f2fb535d77","first_computed_at":"2026-07-05T11:15:25.084901Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:25.084901Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cUBJ0Wjfi0ON1BygTziVH4JT0U1XS+fj45D7MZL8MCh8XYgjzY0qoppCuTBuz5VGQbsjFEkUnJtxwSXsppT2Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:25.085439Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.03321","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c33c2b06ebd886b7c48b15c4a1f830a971214636e97fd11e778782a6462a7f16","sha256:4bf7552af8623594bb6da0d048bb1d1c8e8f18e3bb1f7bb861459e33842fab27"],"state_sha256":"781f377a6d9dfb4f4976dd2f318bf59a380b87792161af201462d89a6d166d33"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LeMkZo+zn/8WiH4gAVhPRMfW49jvylXOsEIty+oiOj9bp5CrPG6wytQi9sjyMHKyAEH8nWp5bnhlRAOWcyFsDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T20:55:29.081096Z","bundle_sha256":"c79dd933f865ac9ed9d8726c13ec7008c8219d7f5a3592e4d5feb9af465bcc79"}}