{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:UYZEAIKQRYBU4AL7MD7LLGP6E6","short_pith_number":"pith:UYZEAIKQ","canonical_record":{"source":{"id":"2407.08822","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-07-11T19:12:23Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"307cd0d51e479050b2498e441c9f130e72aff2c2dfeccc3be37fe647179902f7","abstract_canon_sha256":"0c381f89a061d7bc331749f8de0c526dbe003f723e510f7634c19b2691e0703e"},"schema_version":"1.0"},"canonical_sha256":"a6324021508e034e017f60feb599fe27a3d1aea3938810a4a73af425b59baeb7","source":{"kind":"arxiv","id":"2407.08822","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.08822","created_at":"2026-07-05T08:42:56Z"},{"alias_kind":"arxiv_version","alias_value":"2407.08822v1","created_at":"2026-07-05T08:42:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.08822","created_at":"2026-07-05T08:42:56Z"},{"alias_kind":"pith_short_12","alias_value":"UYZEAIKQRYBU","created_at":"2026-07-05T08:42:56Z"},{"alias_kind":"pith_short_16","alias_value":"UYZEAIKQRYBU4AL7","created_at":"2026-07-05T08:42:56Z"},{"alias_kind":"pith_short_8","alias_value":"UYZEAIKQ","created_at":"2026-07-05T08:42:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:UYZEAIKQRYBU4AL7MD7LLGP6E6","target":"record","payload":{"canonical_record":{"source":{"id":"2407.08822","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-07-11T19:12:23Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"307cd0d51e479050b2498e441c9f130e72aff2c2dfeccc3be37fe647179902f7","abstract_canon_sha256":"0c381f89a061d7bc331749f8de0c526dbe003f723e510f7634c19b2691e0703e"},"schema_version":"1.0"},"canonical_sha256":"a6324021508e034e017f60feb599fe27a3d1aea3938810a4a73af425b59baeb7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:42:56.523351Z","signature_b64":"UjR2U+WttAA5KV5uqAxe62GqWLbriJnYjQhh4MqfZJsBrCcXGmxX7QuM+MipuaL8GPBsCQDi1TAEsqfV9/QeDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a6324021508e034e017f60feb599fe27a3d1aea3938810a4a73af425b59baeb7","last_reissued_at":"2026-07-05T08:42:56.522931Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:42:56.522931Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.08822","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":"2026-07-05T08:42:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e0sLcw5rFSAJtdt13QXARuC2QckjrnUk1CmzxHbQgbDZAQyMwvVe835m8TEg1qZMNsdNWZEQ7OeNgL4YdLkrDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T04:05:36.090396Z"},"content_sha256":"720a73a3ab73a16faccbdbf713c68fd95c540921656554cf5150a01e262026d6","schema_version":"1.0","event_id":"sha256:720a73a3ab73a16faccbdbf713c68fd95c540921656554cf5150a01e262026d6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:UYZEAIKQRYBU4AL7MD7LLGP6E6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"eess.IV","authors_text":"Adel Bibi, Bernard Ghanem, Kumail Alhamoud, Marzyeh Ghassemi, Motasem Alfarra, Philip Torr, Thomas Hartvigsen, Yasir Ghunaim","submitted_at":"2024-07-11T19:12:23Z","abstract_excerpt":"For medical imaging AI models to be clinically impactful, they must generalize. However, this goal is hindered by (i) diverse types of distribution shifts, such as temporal, demographic, and label shifts, and (ii) limited diversity in datasets that are siloed within single medical institutions. While these limitations have spurred interest in federated learning, current evaluation benchmarks fail to evaluate different shifts simultaneously. However, in real healthcare settings, multiple types of shifts co-exist, yet their impact on medical imaging performance remains unstudied. In response, we"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.08822","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/2407.08822/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":"2026-07-05T08:42:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3lgUmtPozWOSugjXTNB8O8j6gqaeRZ4t0OQZssy+4Kx1S1hQSh2I9gMkIR/UoZ8QFwry/nvMkIXQ3+TfTaPaBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T04:05:36.090926Z"},"content_sha256":"60066dc4afd02e534db3d968bd04ff7f77237de91f9647c351a6410c81574ac4","schema_version":"1.0","event_id":"sha256:60066dc4afd02e534db3d968bd04ff7f77237de91f9647c351a6410c81574ac4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UYZEAIKQRYBU4AL7MD7LLGP6E6/bundle.json","state_url":"https://pith.science/pith/UYZEAIKQRYBU4AL7MD7LLGP6E6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UYZEAIKQRYBU4AL7MD7LLGP6E6/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":"2026-08-13T04:05:36Z","links":{"resolver":"https://pith.science/pith/UYZEAIKQRYBU4AL7MD7LLGP6E6","bundle":"https://pith.science/pith/UYZEAIKQRYBU4AL7MD7LLGP6E6/bundle.json","state":"https://pith.science/pith/UYZEAIKQRYBU4AL7MD7LLGP6E6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UYZEAIKQRYBU4AL7MD7LLGP6E6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UYZEAIKQRYBU4AL7MD7LLGP6E6","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":"0c381f89a061d7bc331749f8de0c526dbe003f723e510f7634c19b2691e0703e","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-07-11T19:12:23Z","title_canon_sha256":"307cd0d51e479050b2498e441c9f130e72aff2c2dfeccc3be37fe647179902f7"},"schema_version":"1.0","source":{"id":"2407.08822","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.08822","created_at":"2026-07-05T08:42:56Z"},{"alias_kind":"arxiv_version","alias_value":"2407.08822v1","created_at":"2026-07-05T08:42:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.08822","created_at":"2026-07-05T08:42:56Z"},{"alias_kind":"pith_short_12","alias_value":"UYZEAIKQRYBU","created_at":"2026-07-05T08:42:56Z"},{"alias_kind":"pith_short_16","alias_value":"UYZEAIKQRYBU4AL7","created_at":"2026-07-05T08:42:56Z"},{"alias_kind":"pith_short_8","alias_value":"UYZEAIKQ","created_at":"2026-07-05T08:42:56Z"}],"graph_snapshots":[{"event_id":"sha256:60066dc4afd02e534db3d968bd04ff7f77237de91f9647c351a6410c81574ac4","target":"graph","created_at":"2026-07-05T08:42:56Z","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/2407.08822/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"For medical imaging AI models to be clinically impactful, they must generalize. However, this goal is hindered by (i) diverse types of distribution shifts, such as temporal, demographic, and label shifts, and (ii) limited diversity in datasets that are siloed within single medical institutions. While these limitations have spurred interest in federated learning, current evaluation benchmarks fail to evaluate different shifts simultaneously. However, in real healthcare settings, multiple types of shifts co-exist, yet their impact on medical imaging performance remains unstudied. In response, we","authors_text":"Adel Bibi, Bernard Ghanem, Kumail Alhamoud, Marzyeh Ghassemi, Motasem Alfarra, Philip Torr, Thomas Hartvigsen, Yasir Ghunaim","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-07-11T19:12:23Z","title":"FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.08822","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":"sha256:720a73a3ab73a16faccbdbf713c68fd95c540921656554cf5150a01e262026d6","target":"record","created_at":"2026-07-05T08:42:56Z","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":"0c381f89a061d7bc331749f8de0c526dbe003f723e510f7634c19b2691e0703e","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-07-11T19:12:23Z","title_canon_sha256":"307cd0d51e479050b2498e441c9f130e72aff2c2dfeccc3be37fe647179902f7"},"schema_version":"1.0","source":{"id":"2407.08822","kind":"arxiv","version":1}},"canonical_sha256":"a6324021508e034e017f60feb599fe27a3d1aea3938810a4a73af425b59baeb7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a6324021508e034e017f60feb599fe27a3d1aea3938810a4a73af425b59baeb7","first_computed_at":"2026-07-05T08:42:56.522931Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:42:56.522931Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UjR2U+WttAA5KV5uqAxe62GqWLbriJnYjQhh4MqfZJsBrCcXGmxX7QuM+MipuaL8GPBsCQDi1TAEsqfV9/QeDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:42:56.523351Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.08822","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:720a73a3ab73a16faccbdbf713c68fd95c540921656554cf5150a01e262026d6","sha256:60066dc4afd02e534db3d968bd04ff7f77237de91f9647c351a6410c81574ac4"],"state_sha256":"fe9fc399ddea02932a703878e7538fc7814e5f160e530a19b5602197b1cc21fa"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CCl7BmuqToTrps6FrvyvD0VIvg+AxIimwQFMg8nQTe8gpHlW0zmZAexFQkBiUEQGH5/58weE1B2S4vc1o5l7CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T04:05:36.096360Z","bundle_sha256":"965118837fed18bdd6a2e26252be0cec6c62980a0e9549948ccfba8f793d02ac"}}