{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:6WNMXXWBNWJTKO4MI72F5SOYYX","short_pith_number":"pith:6WNMXXWB","canonical_record":{"source":{"id":"1809.07806","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-09-20T19:03:14Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b9ffb40d1e7bbaddfc3bed0c5b44bd233b122c3d1de0f823c683a1da11e39bd2","abstract_canon_sha256":"bec4b08aeff340ddacfb8781def5a97785dea919b579a998ad3fbd68ad7f3611"},"schema_version":"1.0"},"canonical_sha256":"f59acbdec16d93353b8c47f45ec9d8c5fbc39ee36464c4fa7d0b33a83041e00b","source":{"kind":"arxiv","id":"1809.07806","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.07806","created_at":"2026-05-17T23:43:23Z"},{"alias_kind":"arxiv_version","alias_value":"1809.07806v2","created_at":"2026-05-17T23:43:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.07806","created_at":"2026-05-17T23:43:23Z"},{"alias_kind":"pith_short_12","alias_value":"6WNMXXWBNWJT","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"6WNMXXWBNWJTKO4M","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"6WNMXXWB","created_at":"2026-05-18T12:32:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:6WNMXXWBNWJTKO4MI72F5SOYYX","target":"record","payload":{"canonical_record":{"source":{"id":"1809.07806","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-09-20T19:03:14Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b9ffb40d1e7bbaddfc3bed0c5b44bd233b122c3d1de0f823c683a1da11e39bd2","abstract_canon_sha256":"bec4b08aeff340ddacfb8781def5a97785dea919b579a998ad3fbd68ad7f3611"},"schema_version":"1.0"},"canonical_sha256":"f59acbdec16d93353b8c47f45ec9d8c5fbc39ee36464c4fa7d0b33a83041e00b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:23.640811Z","signature_b64":"CnTgrEzXtgPf0XGNXRzwwdmbvSvtp7QZ6Wak9yUnZZWScdoLD9doua0rTqojN3VEOokXavB+/5n4UXcoXs8WAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f59acbdec16d93353b8c47f45ec9d8c5fbc39ee36464c4fa7d0b33a83041e00b","last_reissued_at":"2026-05-17T23:43:23.640270Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:23.640270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.07806","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:43:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pepBKECuD7N9H2mi48XXwsgoLMTRm5KsYpsUArKkm+WtMC4PceYbyZUsEtONyAeOAuExAjJpJrOSE3Kok06oDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T15:58:19.836108Z"},"content_sha256":"cf4d695344a4fb42e98d25947358cec1a6f8ba6b5db0d98bc15ce6445d00ad09","schema_version":"1.0","event_id":"sha256:cf4d695344a4fb42e98d25947358cec1a6f8ba6b5db0d98bc15ce6445d00ad09"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:6WNMXXWBNWJTKO4MI72F5SOYYX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Understanding Behavior of Clinical Models under Domain Shifts","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"stat.ML","authors_text":"Deepta Rajan, Jayaraman J. Thiagarajan, Prasanna Sattigeri","submitted_at":"2018-09-20T19:03:14Z","abstract_excerpt":"The hypothesis that computational models can be reliable enough to be adopted in prognosis and patient care is revolutionizing healthcare. Deep learning, in particular, has been a game changer in building predictive models, thus leading to community-wide data curation efforts. However, due to inherent variabilities in population characteristics and biological systems, these models are often biased to the training datasets. This can be limiting when models are deployed in new environments, when there are systematic domain shifts not known a priori. In this paper, we propose to emulate a large c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.07806","kind":"arxiv","version":2},"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":"2026-05-17T23:43:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QVHI3jYx4CuHfCii2Ju/fw+2RH/l1z1Cq80+PxDEZoqRJ/RmeZg7HJqiepZSMB/PPdl0IsPHLVrpQTVKivGrBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T15:58:19.836464Z"},"content_sha256":"3549f7066dea1e1b5f018268887122ab7fffcf242b1112ea8e409eb89d98ec17","schema_version":"1.0","event_id":"sha256:3549f7066dea1e1b5f018268887122ab7fffcf242b1112ea8e409eb89d98ec17"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6WNMXXWBNWJTKO4MI72F5SOYYX/bundle.json","state_url":"https://pith.science/pith/6WNMXXWBNWJTKO4MI72F5SOYYX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6WNMXXWBNWJTKO4MI72F5SOYYX/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":"2026-06-04T15:58:19Z","links":{"resolver":"https://pith.science/pith/6WNMXXWBNWJTKO4MI72F5SOYYX","bundle":"https://pith.science/pith/6WNMXXWBNWJTKO4MI72F5SOYYX/bundle.json","state":"https://pith.science/pith/6WNMXXWBNWJTKO4MI72F5SOYYX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6WNMXXWBNWJTKO4MI72F5SOYYX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:6WNMXXWBNWJTKO4MI72F5SOYYX","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":"bec4b08aeff340ddacfb8781def5a97785dea919b579a998ad3fbd68ad7f3611","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-09-20T19:03:14Z","title_canon_sha256":"b9ffb40d1e7bbaddfc3bed0c5b44bd233b122c3d1de0f823c683a1da11e39bd2"},"schema_version":"1.0","source":{"id":"1809.07806","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.07806","created_at":"2026-05-17T23:43:23Z"},{"alias_kind":"arxiv_version","alias_value":"1809.07806v2","created_at":"2026-05-17T23:43:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.07806","created_at":"2026-05-17T23:43:23Z"},{"alias_kind":"pith_short_12","alias_value":"6WNMXXWBNWJT","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"6WNMXXWBNWJTKO4M","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"6WNMXXWB","created_at":"2026-05-18T12:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:3549f7066dea1e1b5f018268887122ab7fffcf242b1112ea8e409eb89d98ec17","target":"graph","created_at":"2026-05-17T23:43:23Z","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":"The hypothesis that computational models can be reliable enough to be adopted in prognosis and patient care is revolutionizing healthcare. Deep learning, in particular, has been a game changer in building predictive models, thus leading to community-wide data curation efforts. However, due to inherent variabilities in population characteristics and biological systems, these models are often biased to the training datasets. This can be limiting when models are deployed in new environments, when there are systematic domain shifts not known a priori. In this paper, we propose to emulate a large c","authors_text":"Deepta Rajan, Jayaraman J. Thiagarajan, Prasanna Sattigeri","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-09-20T19:03:14Z","title":"Understanding Behavior of Clinical Models under Domain Shifts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.07806","kind":"arxiv","version":2},"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:cf4d695344a4fb42e98d25947358cec1a6f8ba6b5db0d98bc15ce6445d00ad09","target":"record","created_at":"2026-05-17T23:43:23Z","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":"bec4b08aeff340ddacfb8781def5a97785dea919b579a998ad3fbd68ad7f3611","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-09-20T19:03:14Z","title_canon_sha256":"b9ffb40d1e7bbaddfc3bed0c5b44bd233b122c3d1de0f823c683a1da11e39bd2"},"schema_version":"1.0","source":{"id":"1809.07806","kind":"arxiv","version":2}},"canonical_sha256":"f59acbdec16d93353b8c47f45ec9d8c5fbc39ee36464c4fa7d0b33a83041e00b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f59acbdec16d93353b8c47f45ec9d8c5fbc39ee36464c4fa7d0b33a83041e00b","first_computed_at":"2026-05-17T23:43:23.640270Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:43:23.640270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CnTgrEzXtgPf0XGNXRzwwdmbvSvtp7QZ6Wak9yUnZZWScdoLD9doua0rTqojN3VEOokXavB+/5n4UXcoXs8WAg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:43:23.640811Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.07806","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf4d695344a4fb42e98d25947358cec1a6f8ba6b5db0d98bc15ce6445d00ad09","sha256:3549f7066dea1e1b5f018268887122ab7fffcf242b1112ea8e409eb89d98ec17"],"state_sha256":"82ff97adb082869c3f1e37e23f53aef7807639d61ad610288db7d37111ef8291"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CnmT6GT2BB8QmJOOtxkbMefgPZUMPHn+HcGCsNLS2ydCEo6Vf9rwdVgMH47RaAfJotZ7KnUu8tVexjcmjMQGDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T15:58:19.838572Z","bundle_sha256":"50008941db71df731354ef5c0fd657250098339aa1c1f4cb64e62ae70190c2af"}}