{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:S2W2ABUTNZNUH636NBWNGOYQ7C","short_pith_number":"pith:S2W2ABUT","canonical_record":{"source":{"id":"1904.01638","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-02T19:38:34Z","cross_cats_sorted":["cs.AI","eess.IV","stat.ML"],"title_canon_sha256":"ce2d4ecd485b202ce6237400c9b8dbe36569ab7808f678ef96577f67800d9717","abstract_canon_sha256":"5ad86fab9c9e2954bd17bcd98da148ca8247ec0e5fa1ce1843c1fbb446128f79"},"schema_version":"1.0"},"canonical_sha256":"96ada006936e5b43fb7e686cd33b10f8b182dabd33c7a7f4ca28f56b800597a4","source":{"kind":"arxiv","id":"1904.01638","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.01638","created_at":"2026-05-17T23:39:24Z"},{"alias_kind":"arxiv_version","alias_value":"1904.01638v1","created_at":"2026-05-17T23:39:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.01638","created_at":"2026-05-17T23:39:24Z"},{"alias_kind":"pith_short_12","alias_value":"S2W2ABUTNZNU","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"S2W2ABUTNZNUH636","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"S2W2ABUT","created_at":"2026-05-18T12:33:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:S2W2ABUTNZNUH636NBWNGOYQ7C","target":"record","payload":{"canonical_record":{"source":{"id":"1904.01638","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-02T19:38:34Z","cross_cats_sorted":["cs.AI","eess.IV","stat.ML"],"title_canon_sha256":"ce2d4ecd485b202ce6237400c9b8dbe36569ab7808f678ef96577f67800d9717","abstract_canon_sha256":"5ad86fab9c9e2954bd17bcd98da148ca8247ec0e5fa1ce1843c1fbb446128f79"},"schema_version":"1.0"},"canonical_sha256":"96ada006936e5b43fb7e686cd33b10f8b182dabd33c7a7f4ca28f56b800597a4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:39:24.480241Z","signature_b64":"KA8D4W94rf9rveP+lEr24HcvucjYfXwqDch7VQ+hy2wekL6AqjAoGd4MWxG9kTPL5l9+9nsviovRtLzZ20s4Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"96ada006936e5b43fb7e686cd33b10f8b182dabd33c7a7f4ca28f56b800597a4","last_reissued_at":"2026-05-17T23:39:24.479408Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:39:24.479408Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.01638","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":"2026-05-17T23:39:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PtQ9bnaHPfj4G3XyxXNxL30gDoe1J97cMH+61+Z0Rq1xwUQDLWv/dMdxX9Q/D544p5fTcv1hoEzFLLp/1V6uCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T02:37:15.331954Z"},"content_sha256":"70789a8ae76a3a789f42a6aafcef09cfe28f7f9aab0d295e7355b6f0bf5b083a","schema_version":"1.0","event_id":"sha256:70789a8ae76a3a789f42a6aafcef09cfe28f7f9aab0d295e7355b6f0bf5b083a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:S2W2ABUTNZNUH636NBWNGOYQ7C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Strong Baseline for Domain Adaptation and Generalization in Medical Imaging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","eess.IV","stat.ML"],"primary_cat":"cs.CV","authors_text":"Ben Covington, Jordan Prosky, Kevin Lyman, Li Yao","submitted_at":"2019-04-02T19:38:34Z","abstract_excerpt":"This work provides a strong baseline for the problem of multi-source multi-target domain adaptation and generalization in medical imaging. Using a diverse collection of ten chest X-ray datasets, we empirically demonstrate the benefits of training medical imaging deep learning models on varied patient populations for generalization to out-of-sample domains."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.01638","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":"2026-05-17T23:39:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AL8PWO8f6x6fKlxj83AGKv85AxOQAdfkuD7PrssNMRnedA2FAOFHR0uPG9nzyRlXcaAqeEzM2SP4tRlGp/9QDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T02:37:15.332335Z"},"content_sha256":"6505cc03834561a1a182cc5ab01818eedb0cc1561c744b133167747d50378177","schema_version":"1.0","event_id":"sha256:6505cc03834561a1a182cc5ab01818eedb0cc1561c744b133167747d50378177"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S2W2ABUTNZNUH636NBWNGOYQ7C/bundle.json","state_url":"https://pith.science/pith/S2W2ABUTNZNUH636NBWNGOYQ7C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S2W2ABUTNZNUH636NBWNGOYQ7C/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":"2026-05-30T02:37:15Z","links":{"resolver":"https://pith.science/pith/S2W2ABUTNZNUH636NBWNGOYQ7C","bundle":"https://pith.science/pith/S2W2ABUTNZNUH636NBWNGOYQ7C/bundle.json","state":"https://pith.science/pith/S2W2ABUTNZNUH636NBWNGOYQ7C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S2W2ABUTNZNUH636NBWNGOYQ7C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:S2W2ABUTNZNUH636NBWNGOYQ7C","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":"5ad86fab9c9e2954bd17bcd98da148ca8247ec0e5fa1ce1843c1fbb446128f79","cross_cats_sorted":["cs.AI","eess.IV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-02T19:38:34Z","title_canon_sha256":"ce2d4ecd485b202ce6237400c9b8dbe36569ab7808f678ef96577f67800d9717"},"schema_version":"1.0","source":{"id":"1904.01638","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.01638","created_at":"2026-05-17T23:39:24Z"},{"alias_kind":"arxiv_version","alias_value":"1904.01638v1","created_at":"2026-05-17T23:39:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.01638","created_at":"2026-05-17T23:39:24Z"},{"alias_kind":"pith_short_12","alias_value":"S2W2ABUTNZNU","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"S2W2ABUTNZNUH636","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"S2W2ABUT","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:6505cc03834561a1a182cc5ab01818eedb0cc1561c744b133167747d50378177","target":"graph","created_at":"2026-05-17T23:39:24Z","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":"This work provides a strong baseline for the problem of multi-source multi-target domain adaptation and generalization in medical imaging. Using a diverse collection of ten chest X-ray datasets, we empirically demonstrate the benefits of training medical imaging deep learning models on varied patient populations for generalization to out-of-sample domains.","authors_text":"Ben Covington, Jordan Prosky, Kevin Lyman, Li Yao","cross_cats":["cs.AI","eess.IV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-02T19:38:34Z","title":"A Strong Baseline for Domain Adaptation and Generalization in Medical Imaging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.01638","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":"sha256:70789a8ae76a3a789f42a6aafcef09cfe28f7f9aab0d295e7355b6f0bf5b083a","target":"record","created_at":"2026-05-17T23:39:24Z","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":"5ad86fab9c9e2954bd17bcd98da148ca8247ec0e5fa1ce1843c1fbb446128f79","cross_cats_sorted":["cs.AI","eess.IV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-02T19:38:34Z","title_canon_sha256":"ce2d4ecd485b202ce6237400c9b8dbe36569ab7808f678ef96577f67800d9717"},"schema_version":"1.0","source":{"id":"1904.01638","kind":"arxiv","version":1}},"canonical_sha256":"96ada006936e5b43fb7e686cd33b10f8b182dabd33c7a7f4ca28f56b800597a4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"96ada006936e5b43fb7e686cd33b10f8b182dabd33c7a7f4ca28f56b800597a4","first_computed_at":"2026-05-17T23:39:24.479408Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:39:24.479408Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KA8D4W94rf9rveP+lEr24HcvucjYfXwqDch7VQ+hy2wekL6AqjAoGd4MWxG9kTPL5l9+9nsviovRtLzZ20s4Ag==","signature_status":"signed_v1","signed_at":"2026-05-17T23:39:24.480241Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.01638","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:70789a8ae76a3a789f42a6aafcef09cfe28f7f9aab0d295e7355b6f0bf5b083a","sha256:6505cc03834561a1a182cc5ab01818eedb0cc1561c744b133167747d50378177"],"state_sha256":"522cd3bbbed634cf52376cc6b1f213af33c97f75d67c1c939d626200d8467df3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BOPCnLnrpPTw9bWy0fz0iTLgj5P+7XRidSR3dHa/1Iwoo8pKlLsWzBrHLxtUMxNwPC8EQz0QSCHCKx/5mfKFCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T02:37:15.334470Z","bundle_sha256":"1319a4fb27beede73838848381dfdeddc25d7a706464f837cafa29b590cc4573"}}