{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DSNMFRWHFG6VCKGT7TAW4A2T2V","short_pith_number":"pith:DSNMFRWH","canonical_record":{"source":{"id":"2506.23208","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-29T12:34:57Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"a9fc5f7a32a94690132e95f7543fdf6d8e29911deb60f4e2b1321496b890c48f","abstract_canon_sha256":"18358f7904ec99384d5c019bfedd2da9eff6bc2fd5860ac5207f03b39554824b"},"schema_version":"1.0"},"canonical_sha256":"1c9ac2c6c729bd5128d3fcc16e0353d57f0a59cae0e8162177803bc9478d8d17","source":{"kind":"arxiv","id":"2506.23208","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.23208","created_at":"2026-07-05T11:29:17Z"},{"alias_kind":"arxiv_version","alias_value":"2506.23208v1","created_at":"2026-07-05T11:29:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.23208","created_at":"2026-07-05T11:29:17Z"},{"alias_kind":"pith_short_12","alias_value":"DSNMFRWHFG6V","created_at":"2026-07-05T11:29:17Z"},{"alias_kind":"pith_short_16","alias_value":"DSNMFRWHFG6VCKGT","created_at":"2026-07-05T11:29:17Z"},{"alias_kind":"pith_short_8","alias_value":"DSNMFRWH","created_at":"2026-07-05T11:29:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DSNMFRWHFG6VCKGT7TAW4A2T2V","target":"record","payload":{"canonical_record":{"source":{"id":"2506.23208","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-29T12:34:57Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"a9fc5f7a32a94690132e95f7543fdf6d8e29911deb60f4e2b1321496b890c48f","abstract_canon_sha256":"18358f7904ec99384d5c019bfedd2da9eff6bc2fd5860ac5207f03b39554824b"},"schema_version":"1.0"},"canonical_sha256":"1c9ac2c6c729bd5128d3fcc16e0353d57f0a59cae0e8162177803bc9478d8d17","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:29:17.815621Z","signature_b64":"0pcqULH33yQRNNzaIIZDL7FHiixCFtuv6FWhv6Rvj3QLm3xfgJc0Fy86KJ5+lkjEzMuCsfZxKCCsT1bOtRnHCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1c9ac2c6c729bd5128d3fcc16e0353d57f0a59cae0e8162177803bc9478d8d17","last_reissued_at":"2026-07-05T11:29:17.815078Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:29:17.815078Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.23208","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":"2026-07-05T11:29:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JZ4JUUztODxNJ8QY94pHuOcgYCnpjb8rDLKlQ/TrsR9GH34Yg865NlEDLvy5AJSrHOjSWhInqNazZoMbb9uaCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T05:54:10.013605Z"},"content_sha256":"3a789f5e32939c19011b9bf6ed3d872afff78689ef5cf3b83d0398cb0fae2e22","schema_version":"1.0","event_id":"sha256:3a789f5e32939c19011b9bf6ed3d872afff78689ef5cf3b83d0398cb0fae2e22"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DSNMFRWHFG6VCKGT7TAW4A2T2V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Source COVID-19 Detection via Variance Risk Extrapolation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Hao Chen, Jilan Xu, Junlin Hou, Qingqiu Li, Rui Feng, Runtian Yuan, Yuejie Zhang","submitted_at":"2025-06-29T12:34:57Z","abstract_excerpt":"We present our solution for the Multi-Source COVID-19 Detection Challenge, which aims to classify chest CT scans into COVID and Non-COVID categories across data collected from four distinct hospitals and medical centers. A major challenge in this task lies in the domain shift caused by variations in imaging protocols, scanners, and patient populations across institutions. To enhance the cross-domain generalization of our model, we incorporate Variance Risk Extrapolation (VREx) into the training process. VREx encourages the model to maintain consistent performance across multiple source domains"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.23208","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/2506.23208/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":"2026-07-05T11:29:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P50FMD0Y7D4shEhQMeXsseQ19v547knzsVJNLUz5dKwOVoFuPWd83XRNDePRYvFzydW1kugdSys+gxPfXe8nAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T05:54:10.014098Z"},"content_sha256":"b0b6802926d015f38f90b42c42426636e421a9da9e4e5ac654d151f3d1486b32","schema_version":"1.0","event_id":"sha256:b0b6802926d015f38f90b42c42426636e421a9da9e4e5ac654d151f3d1486b32"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DSNMFRWHFG6VCKGT7TAW4A2T2V/bundle.json","state_url":"https://pith.science/pith/DSNMFRWHFG6VCKGT7TAW4A2T2V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DSNMFRWHFG6VCKGT7TAW4A2T2V/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":"2026-08-08T05:54:10Z","links":{"resolver":"https://pith.science/pith/DSNMFRWHFG6VCKGT7TAW4A2T2V","bundle":"https://pith.science/pith/DSNMFRWHFG6VCKGT7TAW4A2T2V/bundle.json","state":"https://pith.science/pith/DSNMFRWHFG6VCKGT7TAW4A2T2V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DSNMFRWHFG6VCKGT7TAW4A2T2V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DSNMFRWHFG6VCKGT7TAW4A2T2V","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":"18358f7904ec99384d5c019bfedd2da9eff6bc2fd5860ac5207f03b39554824b","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-29T12:34:57Z","title_canon_sha256":"a9fc5f7a32a94690132e95f7543fdf6d8e29911deb60f4e2b1321496b890c48f"},"schema_version":"1.0","source":{"id":"2506.23208","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.23208","created_at":"2026-07-05T11:29:17Z"},{"alias_kind":"arxiv_version","alias_value":"2506.23208v1","created_at":"2026-07-05T11:29:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.23208","created_at":"2026-07-05T11:29:17Z"},{"alias_kind":"pith_short_12","alias_value":"DSNMFRWHFG6V","created_at":"2026-07-05T11:29:17Z"},{"alias_kind":"pith_short_16","alias_value":"DSNMFRWHFG6VCKGT","created_at":"2026-07-05T11:29:17Z"},{"alias_kind":"pith_short_8","alias_value":"DSNMFRWH","created_at":"2026-07-05T11:29:17Z"}],"graph_snapshots":[{"event_id":"sha256:b0b6802926d015f38f90b42c42426636e421a9da9e4e5ac654d151f3d1486b32","target":"graph","created_at":"2026-07-05T11:29:17Z","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/2506.23208/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present our solution for the Multi-Source COVID-19 Detection Challenge, which aims to classify chest CT scans into COVID and Non-COVID categories across data collected from four distinct hospitals and medical centers. A major challenge in this task lies in the domain shift caused by variations in imaging protocols, scanners, and patient populations across institutions. To enhance the cross-domain generalization of our model, we incorporate Variance Risk Extrapolation (VREx) into the training process. VREx encourages the model to maintain consistent performance across multiple source domains","authors_text":"Hao Chen, Jilan Xu, Junlin Hou, Qingqiu Li, Rui Feng, Runtian Yuan, Yuejie Zhang","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-29T12:34:57Z","title":"Multi-Source COVID-19 Detection via Variance Risk Extrapolation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.23208","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":"sha256:3a789f5e32939c19011b9bf6ed3d872afff78689ef5cf3b83d0398cb0fae2e22","target":"record","created_at":"2026-07-05T11:29:17Z","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":"18358f7904ec99384d5c019bfedd2da9eff6bc2fd5860ac5207f03b39554824b","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-29T12:34:57Z","title_canon_sha256":"a9fc5f7a32a94690132e95f7543fdf6d8e29911deb60f4e2b1321496b890c48f"},"schema_version":"1.0","source":{"id":"2506.23208","kind":"arxiv","version":1}},"canonical_sha256":"1c9ac2c6c729bd5128d3fcc16e0353d57f0a59cae0e8162177803bc9478d8d17","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1c9ac2c6c729bd5128d3fcc16e0353d57f0a59cae0e8162177803bc9478d8d17","first_computed_at":"2026-07-05T11:29:17.815078Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:29:17.815078Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0pcqULH33yQRNNzaIIZDL7FHiixCFtuv6FWhv6Rvj3QLm3xfgJc0Fy86KJ5+lkjEzMuCsfZxKCCsT1bOtRnHCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:29:17.815621Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.23208","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3a789f5e32939c19011b9bf6ed3d872afff78689ef5cf3b83d0398cb0fae2e22","sha256:b0b6802926d015f38f90b42c42426636e421a9da9e4e5ac654d151f3d1486b32"],"state_sha256":"d456746cb31311da1da6dbfe399f007a066d6ea696b65dd9f18e21f01e9133c2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WUGOFdnnph5Ku9CNe2aj9QxxOGMPnXN6sXKrjU7ljoY4O4LoDNcNYzS9eQY/8axUGrESkTKso8butNaqAKkQAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T05:54:10.018513Z","bundle_sha256":"54b76be27507e9bf66383bb5de34121936737315a5d91b1713f8b86d1003d9b0"}}