{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:RTHAHF4AYGUMGSTEENHPIWSVFB","short_pith_number":"pith:RTHAHF4A","canonical_record":{"source":{"id":"2204.10505","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-04-22T05:21:50Z","cross_cats_sorted":[],"title_canon_sha256":"6139a90db8d70616c271cebe6126f5c3cf4c906923abeb92a6fad50459a8ea09","abstract_canon_sha256":"21378e0a8d392aa0d2e5d90d9f0cbc775e6afbea89b4c8f4eb2ad84cf29b926f"},"schema_version":"1.0"},"canonical_sha256":"8cce039780c1a8c34a64234ef45a55284501ca17c33935618b31528abbc77f60","source":{"kind":"arxiv","id":"2204.10505","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.10505","created_at":"2026-07-05T04:16:57Z"},{"alias_kind":"arxiv_version","alias_value":"2204.10505v1","created_at":"2026-07-05T04:16:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.10505","created_at":"2026-07-05T04:16:57Z"},{"alias_kind":"pith_short_12","alias_value":"RTHAHF4AYGUM","created_at":"2026-07-05T04:16:57Z"},{"alias_kind":"pith_short_16","alias_value":"RTHAHF4AYGUMGSTE","created_at":"2026-07-05T04:16:57Z"},{"alias_kind":"pith_short_8","alias_value":"RTHAHF4A","created_at":"2026-07-05T04:16:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:RTHAHF4AYGUMGSTEENHPIWSVFB","target":"record","payload":{"canonical_record":{"source":{"id":"2204.10505","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-04-22T05:21:50Z","cross_cats_sorted":[],"title_canon_sha256":"6139a90db8d70616c271cebe6126f5c3cf4c906923abeb92a6fad50459a8ea09","abstract_canon_sha256":"21378e0a8d392aa0d2e5d90d9f0cbc775e6afbea89b4c8f4eb2ad84cf29b926f"},"schema_version":"1.0"},"canonical_sha256":"8cce039780c1a8c34a64234ef45a55284501ca17c33935618b31528abbc77f60","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:16:57.783989Z","signature_b64":"UWrDeu0p61tgehrswaZT7Kc99FHdA/GQp6HEmy76IiQ2RTYjGibVcw2V267Oit6ZyjMuq6VLFBXf8dNWat9PBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8cce039780c1a8c34a64234ef45a55284501ca17c33935618b31528abbc77f60","last_reissued_at":"2026-07-05T04:16:57.783579Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:16:57.783579Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.10505","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":"2026-07-05T04:16:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T3SpHr6b5hWD/7Bl2nVSVl+1Y6xQbrOqm+D3DJbYAqzXiny0HM/dUwrlGTldRY7L94P01e4B8JcjWGeA9ETOAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T13:31:09.441021Z"},"content_sha256":"c962d4d930eed8f8bf1a9245db3468c30c5974666bfb30138dd4403d9235757e","schema_version":"1.0","event_id":"sha256:c962d4d930eed8f8bf1a9245db3468c30c5974666bfb30138dd4403d9235757e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:RTHAHF4AYGUMGSTEENHPIWSVFB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification Model","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Amartya Bhattacharya, Jitesh Seth, Manish Gawali, Viraj Kulkarni","submitted_at":"2022-04-22T05:21:50Z","abstract_excerpt":"While developing artificial intelligence (AI)-based algorithms to solve problems, the amount of data plays a pivotal role - large amount of data helps the researchers and engineers to develop robust AI algorithms. In the case of building AI-based models for problems related to medical imaging, these data need to be transferred from the medical institutions where they were acquired to the organizations developing the algorithms. This movement of data involves time-consuming formalities like complying with HIPAA, GDPR, etc.There is also a risk of patients' private data getting leaked, compromisi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.10505","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/2204.10505/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":"2026-07-05T04:16:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4UNgzQoQR3lawwSW3jK3i8q2wU56j2IFLlyKJQKBHGcNNPVGUFrshhcb9SqecSmI+9j79mYfSh7SrJ+vq5S0Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T13:31:09.441657Z"},"content_sha256":"7f60c2ed4030091e23a757c2c3cad656bda46955620d283258cba2e93a062f50","schema_version":"1.0","event_id":"sha256:7f60c2ed4030091e23a757c2c3cad656bda46955620d283258cba2e93a062f50"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RTHAHF4AYGUMGSTEENHPIWSVFB/bundle.json","state_url":"https://pith.science/pith/RTHAHF4AYGUMGSTEENHPIWSVFB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RTHAHF4AYGUMGSTEENHPIWSVFB/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":"2026-07-05T13:31:09Z","links":{"resolver":"https://pith.science/pith/RTHAHF4AYGUMGSTEENHPIWSVFB","bundle":"https://pith.science/pith/RTHAHF4AYGUMGSTEENHPIWSVFB/bundle.json","state":"https://pith.science/pith/RTHAHF4AYGUMGSTEENHPIWSVFB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RTHAHF4AYGUMGSTEENHPIWSVFB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:RTHAHF4AYGUMGSTEENHPIWSVFB","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":"21378e0a8d392aa0d2e5d90d9f0cbc775e6afbea89b4c8f4eb2ad84cf29b926f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-04-22T05:21:50Z","title_canon_sha256":"6139a90db8d70616c271cebe6126f5c3cf4c906923abeb92a6fad50459a8ea09"},"schema_version":"1.0","source":{"id":"2204.10505","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.10505","created_at":"2026-07-05T04:16:57Z"},{"alias_kind":"arxiv_version","alias_value":"2204.10505v1","created_at":"2026-07-05T04:16:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.10505","created_at":"2026-07-05T04:16:57Z"},{"alias_kind":"pith_short_12","alias_value":"RTHAHF4AYGUM","created_at":"2026-07-05T04:16:57Z"},{"alias_kind":"pith_short_16","alias_value":"RTHAHF4AYGUMGSTE","created_at":"2026-07-05T04:16:57Z"},{"alias_kind":"pith_short_8","alias_value":"RTHAHF4A","created_at":"2026-07-05T04:16:57Z"}],"graph_snapshots":[{"event_id":"sha256:7f60c2ed4030091e23a757c2c3cad656bda46955620d283258cba2e93a062f50","target":"graph","created_at":"2026-07-05T04:16:57Z","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/2204.10505/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While developing artificial intelligence (AI)-based algorithms to solve problems, the amount of data plays a pivotal role - large amount of data helps the researchers and engineers to develop robust AI algorithms. In the case of building AI-based models for problems related to medical imaging, these data need to be transferred from the medical institutions where they were acquired to the organizations developing the algorithms. This movement of data involves time-consuming formalities like complying with HIPAA, GDPR, etc.There is also a risk of patients' private data getting leaked, compromisi","authors_text":"Amartya Bhattacharya, Jitesh Seth, Manish Gawali, Viraj Kulkarni","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-04-22T05:21:50Z","title":"Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.10505","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:c962d4d930eed8f8bf1a9245db3468c30c5974666bfb30138dd4403d9235757e","target":"record","created_at":"2026-07-05T04:16:57Z","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":"21378e0a8d392aa0d2e5d90d9f0cbc775e6afbea89b4c8f4eb2ad84cf29b926f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-04-22T05:21:50Z","title_canon_sha256":"6139a90db8d70616c271cebe6126f5c3cf4c906923abeb92a6fad50459a8ea09"},"schema_version":"1.0","source":{"id":"2204.10505","kind":"arxiv","version":1}},"canonical_sha256":"8cce039780c1a8c34a64234ef45a55284501ca17c33935618b31528abbc77f60","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8cce039780c1a8c34a64234ef45a55284501ca17c33935618b31528abbc77f60","first_computed_at":"2026-07-05T04:16:57.783579Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:16:57.783579Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UWrDeu0p61tgehrswaZT7Kc99FHdA/GQp6HEmy76IiQ2RTYjGibVcw2V267Oit6ZyjMuq6VLFBXf8dNWat9PBw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:16:57.783989Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.10505","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c962d4d930eed8f8bf1a9245db3468c30c5974666bfb30138dd4403d9235757e","sha256:7f60c2ed4030091e23a757c2c3cad656bda46955620d283258cba2e93a062f50"],"state_sha256":"02f9df728db68feb6379dd9d9baefe2da3d39da699f11960a9e4b695594eaf2c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R21rzY7d8CTiuEaEDpV21grXliZK7K8Rixc4fc19MMBsiK3LlEG9PZ11LwGpiupXW2GyxMBaiffeCTiuuFctAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T13:31:09.444653Z","bundle_sha256":"7ab7a51892e0d81130ba4de7364f270ccca966f406420c9dc108bfd40e7794f7"}}