{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ESB2QNTCBCO7PHH7JWVD6QIXXU","short_pith_number":"pith:ESB2QNTC","canonical_record":{"source":{"id":"2310.07799","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-11T18:32:21Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0d29798846fc734c04e26bbbd4ff40c8982b4cbdbf13abcd721f94e877329956","abstract_canon_sha256":"e123332d378f504d462db2a4c424a8e0069ea47f403f0b1c66543e5f61a0f563"},"schema_version":"1.0"},"canonical_sha256":"2483a83662089df79cff4daa3f4117bd1b49fe139c45e95742495d00948a468f","source":{"kind":"arxiv","id":"2310.07799","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.07799","created_at":"2026-07-05T10:12:13Z"},{"alias_kind":"arxiv_version","alias_value":"2310.07799v3","created_at":"2026-07-05T10:12:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.07799","created_at":"2026-07-05T10:12:13Z"},{"alias_kind":"pith_short_12","alias_value":"ESB2QNTCBCO7","created_at":"2026-07-05T10:12:13Z"},{"alias_kind":"pith_short_16","alias_value":"ESB2QNTCBCO7PHH7","created_at":"2026-07-05T10:12:13Z"},{"alias_kind":"pith_short_8","alias_value":"ESB2QNTC","created_at":"2026-07-05T10:12:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ESB2QNTCBCO7PHH7JWVD6QIXXU","target":"record","payload":{"canonical_record":{"source":{"id":"2310.07799","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-11T18:32:21Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0d29798846fc734c04e26bbbd4ff40c8982b4cbdbf13abcd721f94e877329956","abstract_canon_sha256":"e123332d378f504d462db2a4c424a8e0069ea47f403f0b1c66543e5f61a0f563"},"schema_version":"1.0"},"canonical_sha256":"2483a83662089df79cff4daa3f4117bd1b49fe139c45e95742495d00948a468f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:12:13.316693Z","signature_b64":"iXsxFrSiMuaqsmAly0r+imIPdpEfvh+l7POrEci17/7scg83WccxoQN1RKzIAmN0hrBYYeYLTxPOhYNfP6umDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2483a83662089df79cff4daa3f4117bd1b49fe139c45e95742495d00948a468f","last_reissued_at":"2026-07-05T10:12:13.316198Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:12:13.316198Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.07799","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:12:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n87BCy64kOoxOgFCQmChpOs7ZlGTxZypSuue8nUWUSjFLzhn6NKN/d0neFNsbwS4oqT+RXZuceXl6MBYTmD6Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T23:02:46.295923Z"},"content_sha256":"509b07a1727ab742b4996fe791435cd4401277d9d9ef1ebebe9968b41405ff2e","schema_version":"1.0","event_id":"sha256:509b07a1727ab742b4996fe791435cd4401277d9d9ef1ebebe9968b41405ff2e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ESB2QNTCBCO7PHH7JWVD6QIXXU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Domain-invariant Clinical Representation Learning by Bridging Data Distribution Shift across EMR Datasets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Junyi Gao, Liantao Ma, Ling Wang, Wen Tang, Xiaoyun Zhang, Xinyu Ma, Yasha Wang, Yinghao Zhu, Yuhang Wang, Zhongji Zhang","submitted_at":"2023-10-11T18:32:21Z","abstract_excerpt":"Emerging diseases present challenges in symptom recognition and timely clinical intervention due to limited available information. An effective prognostic model could assist physicians in making accurate diagnoses and designing personalized treatment plans to prevent adverse outcomes. However, in the early stages of disease emergence, several factors hamper model development: limited data collection, insufficient clinical experience, and privacy and ethical concerns restrict data availability and complicate accurate label assignment. Furthermore, Electronic Medical Record (EMR) data from diffe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.07799","kind":"arxiv","version":3},"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/2310.07799/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":"2026-07-05T10:12:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cLFNYTDwGKEqcF0oav3sraL/9+nKmDMMbypWMkxfIAW21oJImRaF450t7WPXG1leWQhNjnowmxTsqy35DGKjBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T23:02:46.296856Z"},"content_sha256":"1542da8ea39d718fca6d3d79031900c8a41069550e4bd6358f0bf15685a2233b","schema_version":"1.0","event_id":"sha256:1542da8ea39d718fca6d3d79031900c8a41069550e4bd6358f0bf15685a2233b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ESB2QNTCBCO7PHH7JWVD6QIXXU/bundle.json","state_url":"https://pith.science/pith/ESB2QNTCBCO7PHH7JWVD6QIXXU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ESB2QNTCBCO7PHH7JWVD6QIXXU/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":"2026-08-06T23:02:46Z","links":{"resolver":"https://pith.science/pith/ESB2QNTCBCO7PHH7JWVD6QIXXU","bundle":"https://pith.science/pith/ESB2QNTCBCO7PHH7JWVD6QIXXU/bundle.json","state":"https://pith.science/pith/ESB2QNTCBCO7PHH7JWVD6QIXXU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ESB2QNTCBCO7PHH7JWVD6QIXXU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ESB2QNTCBCO7PHH7JWVD6QIXXU","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":"e123332d378f504d462db2a4c424a8e0069ea47f403f0b1c66543e5f61a0f563","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-11T18:32:21Z","title_canon_sha256":"0d29798846fc734c04e26bbbd4ff40c8982b4cbdbf13abcd721f94e877329956"},"schema_version":"1.0","source":{"id":"2310.07799","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.07799","created_at":"2026-07-05T10:12:13Z"},{"alias_kind":"arxiv_version","alias_value":"2310.07799v3","created_at":"2026-07-05T10:12:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.07799","created_at":"2026-07-05T10:12:13Z"},{"alias_kind":"pith_short_12","alias_value":"ESB2QNTCBCO7","created_at":"2026-07-05T10:12:13Z"},{"alias_kind":"pith_short_16","alias_value":"ESB2QNTCBCO7PHH7","created_at":"2026-07-05T10:12:13Z"},{"alias_kind":"pith_short_8","alias_value":"ESB2QNTC","created_at":"2026-07-05T10:12:13Z"}],"graph_snapshots":[{"event_id":"sha256:1542da8ea39d718fca6d3d79031900c8a41069550e4bd6358f0bf15685a2233b","target":"graph","created_at":"2026-07-05T10:12:13Z","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/2310.07799/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Emerging diseases present challenges in symptom recognition and timely clinical intervention due to limited available information. An effective prognostic model could assist physicians in making accurate diagnoses and designing personalized treatment plans to prevent adverse outcomes. However, in the early stages of disease emergence, several factors hamper model development: limited data collection, insufficient clinical experience, and privacy and ethical concerns restrict data availability and complicate accurate label assignment. Furthermore, Electronic Medical Record (EMR) data from diffe","authors_text":"Junyi Gao, Liantao Ma, Ling Wang, Wen Tang, Xiaoyun Zhang, Xinyu Ma, Yasha Wang, Yinghao Zhu, Yuhang Wang, Zhongji Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-11T18:32:21Z","title":"Domain-invariant Clinical Representation Learning by Bridging Data Distribution Shift across EMR Datasets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.07799","kind":"arxiv","version":3},"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":"sha256:509b07a1727ab742b4996fe791435cd4401277d9d9ef1ebebe9968b41405ff2e","target":"record","created_at":"2026-07-05T10:12:13Z","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":"e123332d378f504d462db2a4c424a8e0069ea47f403f0b1c66543e5f61a0f563","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-11T18:32:21Z","title_canon_sha256":"0d29798846fc734c04e26bbbd4ff40c8982b4cbdbf13abcd721f94e877329956"},"schema_version":"1.0","source":{"id":"2310.07799","kind":"arxiv","version":3}},"canonical_sha256":"2483a83662089df79cff4daa3f4117bd1b49fe139c45e95742495d00948a468f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2483a83662089df79cff4daa3f4117bd1b49fe139c45e95742495d00948a468f","first_computed_at":"2026-07-05T10:12:13.316198Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:12:13.316198Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iXsxFrSiMuaqsmAly0r+imIPdpEfvh+l7POrEci17/7scg83WccxoQN1RKzIAmN0hrBYYeYLTxPOhYNfP6umDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:12:13.316693Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.07799","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:509b07a1727ab742b4996fe791435cd4401277d9d9ef1ebebe9968b41405ff2e","sha256:1542da8ea39d718fca6d3d79031900c8a41069550e4bd6358f0bf15685a2233b"],"state_sha256":"22610ba3e5a89b615fbbabc27440b9a25de52451f99b2abe3d449bce8c3f78a7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hbf1mpDFLAylIcsRbc/qiHSvA6Jo9pG+n/MO5TgY5QG0g7sXseZT5wB5qgQzOpsSctnJMD5Uc8fHsBxxE9/9Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T23:02:46.302829Z","bundle_sha256":"3396e5c4f2da0e5dca82a2d4ca242d4bfab6b6e9d804e66cef0ff1c8bb6d5560"}}