{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:VP2CI6L5RQUP326GHNNLO2AHSD","short_pith_number":"pith:VP2CI6L5","schema_version":"1.0","canonical_sha256":"abf424797d8c28fdebc63b5ab7680790f19fc2c33ec699e4523cf3cc8912ec6b","source":{"kind":"arxiv","id":"2507.22205","version":1},"attestation_state":"computed","paper":{"title":"CTG-Insight: A Multi-Agent Interpretable LLM Framework for Cardiotocography Analysis and Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.LG","authors_text":"Black Sun, Die (Delia) Hu","submitted_at":"2025-07-29T20:10:10Z","abstract_excerpt":"Remote fetal monitoring technologies are becoming increasingly common. Yet, most current systems offer limited interpretability, leaving expectant parents with raw cardiotocography (CTG) data that is difficult to understand. In this work, we present CTG-Insight, a multi-agent LLM system that provides structured interpretations of fetal heart rate (FHR) and uterine contraction (UC) signals. Drawing from established medical guidelines, CTG-Insight decomposes each CTG trace into five medically defined features: baseline, variability, accelerations, decelerations, and sinusoidal pattern, each anal"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2507.22205","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-29T20:10:10Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"849c45d01ab5ca158a414589ba9de4bbb1342471e6ab1923f1269e79dd06dd02","abstract_canon_sha256":"950b4e7076c3579f02b84e1415a5515dac0edc69947277c29382ab6b6116e7db"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:45:18.442763Z","signature_b64":"a2L1UbI5wYhVQ9b7vegZhCAfw4P5wMxzXGxRz1CqQiUXoZPOS2NfB8VBEPZqS4f/d6KkeB8iTyR78kOY1hqSCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"abf424797d8c28fdebc63b5ab7680790f19fc2c33ec699e4523cf3cc8912ec6b","last_reissued_at":"2026-07-05T11:45:18.442309Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:45:18.442309Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CTG-Insight: A Multi-Agent Interpretable LLM Framework for Cardiotocography Analysis and Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.LG","authors_text":"Black Sun, Die (Delia) Hu","submitted_at":"2025-07-29T20:10:10Z","abstract_excerpt":"Remote fetal monitoring technologies are becoming increasingly common. Yet, most current systems offer limited interpretability, leaving expectant parents with raw cardiotocography (CTG) data that is difficult to understand. In this work, we present CTG-Insight, a multi-agent LLM system that provides structured interpretations of fetal heart rate (FHR) and uterine contraction (UC) signals. Drawing from established medical guidelines, CTG-Insight decomposes each CTG trace into five medically defined features: baseline, variability, accelerations, decelerations, and sinusoidal pattern, each anal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.22205","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/2507.22205/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2507.22205","created_at":"2026-07-05T11:45:18.442375+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.22205v1","created_at":"2026-07-05T11:45:18.442375+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.22205","created_at":"2026-07-05T11:45:18.442375+00:00"},{"alias_kind":"pith_short_12","alias_value":"VP2CI6L5RQUP","created_at":"2026-07-05T11:45:18.442375+00:00"},{"alias_kind":"pith_short_16","alias_value":"VP2CI6L5RQUP326G","created_at":"2026-07-05T11:45:18.442375+00:00"},{"alias_kind":"pith_short_8","alias_value":"VP2CI6L5","created_at":"2026-07-05T11:45:18.442375+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/VP2CI6L5RQUP326GHNNLO2AHSD","json":"https://pith.science/pith/VP2CI6L5RQUP326GHNNLO2AHSD.json","graph_json":"https://pith.science/api/pith-number/VP2CI6L5RQUP326GHNNLO2AHSD/graph.json","events_json":"https://pith.science/api/pith-number/VP2CI6L5RQUP326GHNNLO2AHSD/events.json","paper":"https://pith.science/paper/VP2CI6L5"},"agent_actions":{"view_html":"https://pith.science/pith/VP2CI6L5RQUP326GHNNLO2AHSD","download_json":"https://pith.science/pith/VP2CI6L5RQUP326GHNNLO2AHSD.json","view_paper":"https://pith.science/paper/VP2CI6L5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.22205&json=true","fetch_graph":"https://pith.science/api/pith-number/VP2CI6L5RQUP326GHNNLO2AHSD/graph.json","fetch_events":"https://pith.science/api/pith-number/VP2CI6L5RQUP326GHNNLO2AHSD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VP2CI6L5RQUP326GHNNLO2AHSD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VP2CI6L5RQUP326GHNNLO2AHSD/action/storage_attestation","attest_author":"https://pith.science/pith/VP2CI6L5RQUP326GHNNLO2AHSD/action/author_attestation","sign_citation":"https://pith.science/pith/VP2CI6L5RQUP326GHNNLO2AHSD/action/citation_signature","submit_replication":"https://pith.science/pith/VP2CI6L5RQUP326GHNNLO2AHSD/action/replication_record"}},"created_at":"2026-07-05T11:45:18.442375+00:00","updated_at":"2026-07-05T11:45:18.442375+00:00"}