{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:62XT3MA2CIK37LZHMVUBGGBYHD","short_pith_number":"pith:62XT3MA2","canonical_record":{"source":{"id":"2406.05746","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-09T11:37:45Z","cross_cats_sorted":["cs.HC","cs.LG"],"title_canon_sha256":"a97be216a170d500ff3032f1b3ec698d0846ee93f8c9439bb6dcd91067670b20","abstract_canon_sha256":"5d1774985c700e1850d881dc79804979720e776059137a76959daeb677c1fa28"},"schema_version":"1.0"},"canonical_sha256":"f6af3db01a1215bfaf27656813183838fc1c2f30d364283c23bfea15a8e58358","source":{"kind":"arxiv","id":"2406.05746","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.05746","created_at":"2026-07-05T08:29:33Z"},{"alias_kind":"arxiv_version","alias_value":"2406.05746v1","created_at":"2026-07-05T08:29:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.05746","created_at":"2026-07-05T08:29:33Z"},{"alias_kind":"pith_short_12","alias_value":"62XT3MA2CIK3","created_at":"2026-07-05T08:29:33Z"},{"alias_kind":"pith_short_16","alias_value":"62XT3MA2CIK37LZH","created_at":"2026-07-05T08:29:33Z"},{"alias_kind":"pith_short_8","alias_value":"62XT3MA2","created_at":"2026-07-05T08:29:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:62XT3MA2CIK37LZHMVUBGGBYHD","target":"record","payload":{"canonical_record":{"source":{"id":"2406.05746","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-09T11:37:45Z","cross_cats_sorted":["cs.HC","cs.LG"],"title_canon_sha256":"a97be216a170d500ff3032f1b3ec698d0846ee93f8c9439bb6dcd91067670b20","abstract_canon_sha256":"5d1774985c700e1850d881dc79804979720e776059137a76959daeb677c1fa28"},"schema_version":"1.0"},"canonical_sha256":"f6af3db01a1215bfaf27656813183838fc1c2f30d364283c23bfea15a8e58358","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:29:33.153240Z","signature_b64":"t6DvrXFT99a5PbcF5frIjcTlI1ZSxBtceWWQPHV/RwG5nhyJcqaUY1vMy23jcv07OhsLUMyyWGu2cvgWa5UaBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f6af3db01a1215bfaf27656813183838fc1c2f30d364283c23bfea15a8e58358","last_reissued_at":"2026-07-05T08:29:33.152804Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:29:33.152804Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.05746","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":"2026-07-05T08:29:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Rz8J3K2W5enLFIr8meiqtErOdwWm9AL0zq30Rx3QKgzq5GjZ+jzgtdKL7Oru34UhPyvNBwYhiEyhFEN8QXy9DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T01:22:03.080910Z"},"content_sha256":"ec7b5ad286aa5aaa28805e531778289cf80110da5026e700cfba144e22453a53","schema_version":"1.0","event_id":"sha256:ec7b5ad286aa5aaa28805e531778289cf80110da5026e700cfba144e22453a53"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:62XT3MA2CIK37LZHMVUBGGBYHD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Methodology and Real-World Applications of Dynamic Uncertain Causality Graph for Clinical Diagnosis with Explainability and Invariance","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.HC","cs.LG"],"primary_cat":"cs.AI","authors_text":"Aihua Liu, Bing Wei, Fan Li, Fengwei Tian, Hong Zhao, Jie Hu, Jie Lu, Juan Zhao, Lei Zhang, Lin Lu, Lin Ma, Mingxia Zhang, Qin Zhang, Ru Gao, Xiao Liu, Xin Gou, Yajun Xue, Yang Jiao, Yang Zhang, Yiming Wang, Zhan Zhang","submitted_at":"2024-06-09T11:37:45Z","abstract_excerpt":"AI-aided clinical diagnosis is desired in medical care. Existing deep learning models lack explainability and mainly focus on image analysis. The recently developed Dynamic Uncertain Causality Graph (DUCG) approach is causality-driven, explainable, and invariant across different application scenarios, without problems of data collection, labeling, fitting, privacy, bias, generalization, high cost and high energy consumption. Through close collaboration between clinical experts and DUCG technicians, 46 DUCG models covering 54 chief complaints were constructed. Over 1,000 diseases can be diagnos"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.05746","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/2406.05746/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":"2026-07-05T08:29:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6l/sf9dZoylVLdsrdhKhh7Yj+OcC4d13mZfJdGpJ7giS5f7NUzs7XhthrfTk42y7hVpb3Rk3of6cnucn/GW1AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T01:22:03.081446Z"},"content_sha256":"6ba529080a21bf37dea833e787554a4e8a642c42c1d46a96c10c00bfbe58caca","schema_version":"1.0","event_id":"sha256:6ba529080a21bf37dea833e787554a4e8a642c42c1d46a96c10c00bfbe58caca"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/62XT3MA2CIK37LZHMVUBGGBYHD/bundle.json","state_url":"https://pith.science/pith/62XT3MA2CIK37LZHMVUBGGBYHD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/62XT3MA2CIK37LZHMVUBGGBYHD/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":"2026-08-07T01:22:03Z","links":{"resolver":"https://pith.science/pith/62XT3MA2CIK37LZHMVUBGGBYHD","bundle":"https://pith.science/pith/62XT3MA2CIK37LZHMVUBGGBYHD/bundle.json","state":"https://pith.science/pith/62XT3MA2CIK37LZHMVUBGGBYHD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/62XT3MA2CIK37LZHMVUBGGBYHD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:62XT3MA2CIK37LZHMVUBGGBYHD","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":"5d1774985c700e1850d881dc79804979720e776059137a76959daeb677c1fa28","cross_cats_sorted":["cs.HC","cs.LG"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-09T11:37:45Z","title_canon_sha256":"a97be216a170d500ff3032f1b3ec698d0846ee93f8c9439bb6dcd91067670b20"},"schema_version":"1.0","source":{"id":"2406.05746","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.05746","created_at":"2026-07-05T08:29:33Z"},{"alias_kind":"arxiv_version","alias_value":"2406.05746v1","created_at":"2026-07-05T08:29:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.05746","created_at":"2026-07-05T08:29:33Z"},{"alias_kind":"pith_short_12","alias_value":"62XT3MA2CIK3","created_at":"2026-07-05T08:29:33Z"},{"alias_kind":"pith_short_16","alias_value":"62XT3MA2CIK37LZH","created_at":"2026-07-05T08:29:33Z"},{"alias_kind":"pith_short_8","alias_value":"62XT3MA2","created_at":"2026-07-05T08:29:33Z"}],"graph_snapshots":[{"event_id":"sha256:6ba529080a21bf37dea833e787554a4e8a642c42c1d46a96c10c00bfbe58caca","target":"graph","created_at":"2026-07-05T08:29:33Z","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/2406.05746/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"AI-aided clinical diagnosis is desired in medical care. Existing deep learning models lack explainability and mainly focus on image analysis. The recently developed Dynamic Uncertain Causality Graph (DUCG) approach is causality-driven, explainable, and invariant across different application scenarios, without problems of data collection, labeling, fitting, privacy, bias, generalization, high cost and high energy consumption. Through close collaboration between clinical experts and DUCG technicians, 46 DUCG models covering 54 chief complaints were constructed. Over 1,000 diseases can be diagnos","authors_text":"Aihua Liu, Bing Wei, Fan Li, Fengwei Tian, Hong Zhao, Jie Hu, Jie Lu, Juan Zhao, Lei Zhang, Lin Lu, Lin Ma, Mingxia Zhang, Qin Zhang, Ru Gao, Xiao Liu, Xin Gou, Yajun Xue, Yang Jiao, Yang Zhang, Yiming Wang, Zhan Zhang","cross_cats":["cs.HC","cs.LG"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-09T11:37:45Z","title":"Methodology and Real-World Applications of Dynamic Uncertain Causality Graph for Clinical Diagnosis with Explainability and Invariance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.05746","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:ec7b5ad286aa5aaa28805e531778289cf80110da5026e700cfba144e22453a53","target":"record","created_at":"2026-07-05T08:29:33Z","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":"5d1774985c700e1850d881dc79804979720e776059137a76959daeb677c1fa28","cross_cats_sorted":["cs.HC","cs.LG"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-09T11:37:45Z","title_canon_sha256":"a97be216a170d500ff3032f1b3ec698d0846ee93f8c9439bb6dcd91067670b20"},"schema_version":"1.0","source":{"id":"2406.05746","kind":"arxiv","version":1}},"canonical_sha256":"f6af3db01a1215bfaf27656813183838fc1c2f30d364283c23bfea15a8e58358","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f6af3db01a1215bfaf27656813183838fc1c2f30d364283c23bfea15a8e58358","first_computed_at":"2026-07-05T08:29:33.152804Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:29:33.152804Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"t6DvrXFT99a5PbcF5frIjcTlI1ZSxBtceWWQPHV/RwG5nhyJcqaUY1vMy23jcv07OhsLUMyyWGu2cvgWa5UaBg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:29:33.153240Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.05746","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ec7b5ad286aa5aaa28805e531778289cf80110da5026e700cfba144e22453a53","sha256:6ba529080a21bf37dea833e787554a4e8a642c42c1d46a96c10c00bfbe58caca"],"state_sha256":"1492fa62f82bd000f45dbeea95fc54b697f86b9050c705c2e09ed91e647b316f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hKPzkrVyXJwWAla37R5c6ZkCpdgBY4Fs5myDmlHTjgU/0OsszFaDhc+gshL6E3Akl2wzCZ/iSpf0I1lAxeP7Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T01:22:03.087597Z","bundle_sha256":"46cf1b0fdc4a998904709a2e2c343078d7a426202f14b9b60d616121304154a5"}}