{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:JKKCJUAHFZYKYVHCJ637BDQRFO","short_pith_number":"pith:JKKCJUAH","canonical_record":{"source":{"id":"1711.10915","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-11-29T15:28:20Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"51f029677f626654c8271b489a7c26429c5035a57605188769385d6790070488","abstract_canon_sha256":"613ba289d43282dd0a29c16b93d8541ba0efa376aa01c0c1f617d40dcb15982d"},"schema_version":"1.0"},"canonical_sha256":"4a9424d0072e70ac54e24fb7f08e112b92f3144b42ed0ee203f254251b006c2f","source":{"kind":"arxiv","id":"1711.10915","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.10915","created_at":"2026-05-18T00:29:16Z"},{"alias_kind":"arxiv_version","alias_value":"1711.10915v1","created_at":"2026-05-18T00:29:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.10915","created_at":"2026-05-18T00:29:16Z"},{"alias_kind":"pith_short_12","alias_value":"JKKCJUAHFZYK","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JKKCJUAHFZYKYVHC","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JKKCJUAH","created_at":"2026-05-18T12:31:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:JKKCJUAHFZYKYVHCJ637BDQRFO","target":"record","payload":{"canonical_record":{"source":{"id":"1711.10915","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-11-29T15:28:20Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"51f029677f626654c8271b489a7c26429c5035a57605188769385d6790070488","abstract_canon_sha256":"613ba289d43282dd0a29c16b93d8541ba0efa376aa01c0c1f617d40dcb15982d"},"schema_version":"1.0"},"canonical_sha256":"4a9424d0072e70ac54e24fb7f08e112b92f3144b42ed0ee203f254251b006c2f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:29:16.464517Z","signature_b64":"UuiMjHXGeIlnMmSWCXks0LthUu9vc3N0ixlsdQrbDoTDB2KihTiL7E5m7y+8MbWSomPpNi2TfGUnnoEWSK5SCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4a9424d0072e70ac54e24fb7f08e112b92f3144b42ed0ee203f254251b006c2f","last_reissued_at":"2026-05-18T00:29:16.463948Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:29:16.463948Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.10915","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":"2026-05-18T00:29:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mlk76jeoSDW1L6qYE13b8UlhV7pG6tQc5/2wwHcvW4CjbycS24rrLOWeyKUdtAkcbV0Ff5P+NOHPlwzNbJlsCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T01:22:02.566353Z"},"content_sha256":"22e29063c54cc49ebede0ceac6811de5fbea857322aeb74b0a2ef22b8f60223f","schema_version":"1.0","event_id":"sha256:22e29063c54cc49ebede0ceac6811de5fbea857322aeb74b0a2ef22b8f60223f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:JKKCJUAHFZYKYVHCJ637BDQRFO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Causality Refined Diagnostic Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Bo C. Bertilson, Cheng Zhang, Hedvig Kjellstr\\\"om, Kun Zhang, Marcus Klasson","submitted_at":"2017-11-29T15:28:20Z","abstract_excerpt":"Applying machine learning in the health care domain has shown promising results in recent years. Interpretable outputs from learning algorithms are desirable for decision making by health care personnel. In this work, we explore the possibility of utilizing causal relationships to refine diagnostic prediction. We focus on the task of diagnostic prediction using discomfort drawings, and explore two ways to employ causal identification to improve the diagnostic results. Firstly, we use causal identification to infer the causal relationships among diagnostic labels which, by itself, provides inte"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.10915","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":""},"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":"2026-05-18T00:29:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mrk6/fTKRp1yKcqLh5jT5KM9u92cGgm/mfyLGwli55FuiGNcqCxy0sNvwH3Vtb6KQLzjrx9XlW5KLCQgxh+SAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T01:22:02.566705Z"},"content_sha256":"90f8acfbcb43985a782a829078171349790dba6ff7724d551c0d4f3e32900c5e","schema_version":"1.0","event_id":"sha256:90f8acfbcb43985a782a829078171349790dba6ff7724d551c0d4f3e32900c5e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JKKCJUAHFZYKYVHCJ637BDQRFO/bundle.json","state_url":"https://pith.science/pith/JKKCJUAHFZYKYVHCJ637BDQRFO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JKKCJUAHFZYKYVHCJ637BDQRFO/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":"2026-05-28T01:22:02Z","links":{"resolver":"https://pith.science/pith/JKKCJUAHFZYKYVHCJ637BDQRFO","bundle":"https://pith.science/pith/JKKCJUAHFZYKYVHCJ637BDQRFO/bundle.json","state":"https://pith.science/pith/JKKCJUAHFZYKYVHCJ637BDQRFO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JKKCJUAHFZYKYVHCJ637BDQRFO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:JKKCJUAHFZYKYVHCJ637BDQRFO","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":"613ba289d43282dd0a29c16b93d8541ba0efa376aa01c0c1f617d40dcb15982d","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-11-29T15:28:20Z","title_canon_sha256":"51f029677f626654c8271b489a7c26429c5035a57605188769385d6790070488"},"schema_version":"1.0","source":{"id":"1711.10915","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.10915","created_at":"2026-05-18T00:29:16Z"},{"alias_kind":"arxiv_version","alias_value":"1711.10915v1","created_at":"2026-05-18T00:29:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.10915","created_at":"2026-05-18T00:29:16Z"},{"alias_kind":"pith_short_12","alias_value":"JKKCJUAHFZYK","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JKKCJUAHFZYKYVHC","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JKKCJUAH","created_at":"2026-05-18T12:31:24Z"}],"graph_snapshots":[{"event_id":"sha256:90f8acfbcb43985a782a829078171349790dba6ff7724d551c0d4f3e32900c5e","target":"graph","created_at":"2026-05-18T00:29:16Z","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"},"paper":{"abstract_excerpt":"Applying machine learning in the health care domain has shown promising results in recent years. Interpretable outputs from learning algorithms are desirable for decision making by health care personnel. In this work, we explore the possibility of utilizing causal relationships to refine diagnostic prediction. We focus on the task of diagnostic prediction using discomfort drawings, and explore two ways to employ causal identification to improve the diagnostic results. Firstly, we use causal identification to infer the causal relationships among diagnostic labels which, by itself, provides inte","authors_text":"Bo C. Bertilson, Cheng Zhang, Hedvig Kjellstr\\\"om, Kun Zhang, Marcus Klasson","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-11-29T15:28:20Z","title":"Causality Refined Diagnostic Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.10915","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":"sha256:22e29063c54cc49ebede0ceac6811de5fbea857322aeb74b0a2ef22b8f60223f","target":"record","created_at":"2026-05-18T00:29:16Z","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":"613ba289d43282dd0a29c16b93d8541ba0efa376aa01c0c1f617d40dcb15982d","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-11-29T15:28:20Z","title_canon_sha256":"51f029677f626654c8271b489a7c26429c5035a57605188769385d6790070488"},"schema_version":"1.0","source":{"id":"1711.10915","kind":"arxiv","version":1}},"canonical_sha256":"4a9424d0072e70ac54e24fb7f08e112b92f3144b42ed0ee203f254251b006c2f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4a9424d0072e70ac54e24fb7f08e112b92f3144b42ed0ee203f254251b006c2f","first_computed_at":"2026-05-18T00:29:16.463948Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:29:16.463948Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UuiMjHXGeIlnMmSWCXks0LthUu9vc3N0ixlsdQrbDoTDB2KihTiL7E5m7y+8MbWSomPpNi2TfGUnnoEWSK5SCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:29:16.464517Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.10915","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:22e29063c54cc49ebede0ceac6811de5fbea857322aeb74b0a2ef22b8f60223f","sha256:90f8acfbcb43985a782a829078171349790dba6ff7724d551c0d4f3e32900c5e"],"state_sha256":"5e4097640f8cd2985ddc4f264a1ff1dfcbc0a0b2619674e3339c0032d252f579"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"81wakOCyKmrvudr0bYl3zQA7yL6nn1K4mgvUEDu8lPnSruCvZwD1TActp99LtPVRtPB2Kkfc6ESeXF/B2sZGDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T01:22:02.568724Z","bundle_sha256":"ee0a90844fd128145266b2c60a582e73e0cfdc2286f6b58fb25468d965fd05ff"}}