{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:76D74KJWDBFWMKVYV6PID4UUGE","short_pith_number":"pith:76D74KJW","canonical_record":{"source":{"id":"2205.15530","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-31T04:23:50Z","cross_cats_sorted":[],"title_canon_sha256":"80f91c0c04e8de181c609347afd82d55f0acb45c933f9ae7392adab7939a02f2","abstract_canon_sha256":"e0c0b5af136f3b2b212105348dc3e1b98b439682a2443c6a281015dcaca134b6"},"schema_version":"1.0"},"canonical_sha256":"ff87fe2936184b662ab8af9e81f2943132bf77e605676c9ed3f95a4e4dd98a55","source":{"kind":"arxiv","id":"2205.15530","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.15530","created_at":"2026-07-05T05:55:09Z"},{"alias_kind":"arxiv_version","alias_value":"2205.15530v2","created_at":"2026-07-05T05:55:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.15530","created_at":"2026-07-05T05:55:09Z"},{"alias_kind":"pith_short_12","alias_value":"76D74KJWDBFW","created_at":"2026-07-05T05:55:09Z"},{"alias_kind":"pith_short_16","alias_value":"76D74KJWDBFWMKVY","created_at":"2026-07-05T05:55:09Z"},{"alias_kind":"pith_short_8","alias_value":"76D74KJW","created_at":"2026-07-05T05:55:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:76D74KJWDBFWMKVYV6PID4UUGE","target":"record","payload":{"canonical_record":{"source":{"id":"2205.15530","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-31T04:23:50Z","cross_cats_sorted":[],"title_canon_sha256":"80f91c0c04e8de181c609347afd82d55f0acb45c933f9ae7392adab7939a02f2","abstract_canon_sha256":"e0c0b5af136f3b2b212105348dc3e1b98b439682a2443c6a281015dcaca134b6"},"schema_version":"1.0"},"canonical_sha256":"ff87fe2936184b662ab8af9e81f2943132bf77e605676c9ed3f95a4e4dd98a55","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:55:09.171706Z","signature_b64":"3f5i1UgQ5rJYfNl4k2m06ebS3lQeyD38epE/4qXyN3UZGZPPzaAYPA0TJOpLds1v+5vfnzihy8+RK03dQbugCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ff87fe2936184b662ab8af9e81f2943132bf77e605676c9ed3f95a4e4dd98a55","last_reissued_at":"2026-07-05T05:55:09.171202Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:55:09.171202Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.15530","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":"2026-07-05T05:55:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Kpti6cTFalQgqq7Y2UCOyvd9hrmQ5eqGiqAOaBaILWsjqm+7oavz5Pm2AoqmDpS/tVPxhaT0gxEFGgE7vsOADQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T20:18:29.549085Z"},"content_sha256":"25d67ceacdeadb470fbc8eb0a8b0efa77d8f10907e45839047c0dac5437c7744","schema_version":"1.0","event_id":"sha256:25d67ceacdeadb470fbc8eb0a8b0efa77d8f10907e45839047c0dac5437c7744"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:76D74KJWDBFWMKVYV6PID4UUGE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jun Shi, Jun Wang, Saisai Ding, Shihui Ying, Xiangmin Han, Yuanming Zhang, Zheng Li","submitted_at":"2022-05-31T04:23:50Z","abstract_excerpt":"Computer-aided diagnosis (CAD) can help pathologists improve diagnostic accuracy together with consistency and repeatability for cancers. However, the CAD models trained with the histopathological images only from a single center (hospital) generally suffer from the generalization problem due to the straining inconsistencies among different centers. In this work, we propose a pseudo-data based self-supervised federated learning (FL) framework, named SSL-FT-BT, to improve both the diagnostic accuracy and generalization of CAD models. Specifically, the pseudo histopathological images are generat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.15530","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2205.15530/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":"2026-07-05T05:55:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vOElqd6j/PjJQ40FWYDzBj+Et3OFyUYhL+7kkajCZoyuRnc6x4KiJReNV/KmS9fKNwz4ypg0pZHgbNhxbTclBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T20:18:29.549483Z"},"content_sha256":"5d28efa79ff279dfaee231974b0d45a2aa8f2c91a480a065f4a27796d1e3b92f","schema_version":"1.0","event_id":"sha256:5d28efa79ff279dfaee231974b0d45a2aa8f2c91a480a065f4a27796d1e3b92f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/76D74KJWDBFWMKVYV6PID4UUGE/bundle.json","state_url":"https://pith.science/pith/76D74KJWDBFWMKVYV6PID4UUGE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/76D74KJWDBFWMKVYV6PID4UUGE/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":"2026-07-10T20:18:29Z","links":{"resolver":"https://pith.science/pith/76D74KJWDBFWMKVYV6PID4UUGE","bundle":"https://pith.science/pith/76D74KJWDBFWMKVYV6PID4UUGE/bundle.json","state":"https://pith.science/pith/76D74KJWDBFWMKVYV6PID4UUGE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/76D74KJWDBFWMKVYV6PID4UUGE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:76D74KJWDBFWMKVYV6PID4UUGE","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":"e0c0b5af136f3b2b212105348dc3e1b98b439682a2443c6a281015dcaca134b6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-31T04:23:50Z","title_canon_sha256":"80f91c0c04e8de181c609347afd82d55f0acb45c933f9ae7392adab7939a02f2"},"schema_version":"1.0","source":{"id":"2205.15530","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.15530","created_at":"2026-07-05T05:55:09Z"},{"alias_kind":"arxiv_version","alias_value":"2205.15530v2","created_at":"2026-07-05T05:55:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.15530","created_at":"2026-07-05T05:55:09Z"},{"alias_kind":"pith_short_12","alias_value":"76D74KJWDBFW","created_at":"2026-07-05T05:55:09Z"},{"alias_kind":"pith_short_16","alias_value":"76D74KJWDBFWMKVY","created_at":"2026-07-05T05:55:09Z"},{"alias_kind":"pith_short_8","alias_value":"76D74KJW","created_at":"2026-07-05T05:55:09Z"}],"graph_snapshots":[{"event_id":"sha256:5d28efa79ff279dfaee231974b0d45a2aa8f2c91a480a065f4a27796d1e3b92f","target":"graph","created_at":"2026-07-05T05:55:09Z","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/2205.15530/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Computer-aided diagnosis (CAD) can help pathologists improve diagnostic accuracy together with consistency and repeatability for cancers. However, the CAD models trained with the histopathological images only from a single center (hospital) generally suffer from the generalization problem due to the straining inconsistencies among different centers. In this work, we propose a pseudo-data based self-supervised federated learning (FL) framework, named SSL-FT-BT, to improve both the diagnostic accuracy and generalization of CAD models. Specifically, the pseudo histopathological images are generat","authors_text":"Jun Shi, Jun Wang, Saisai Ding, Shihui Ying, Xiangmin Han, Yuanming Zhang, Zheng Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-31T04:23:50Z","title":"Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.15530","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":"sha256:25d67ceacdeadb470fbc8eb0a8b0efa77d8f10907e45839047c0dac5437c7744","target":"record","created_at":"2026-07-05T05:55:09Z","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":"e0c0b5af136f3b2b212105348dc3e1b98b439682a2443c6a281015dcaca134b6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-31T04:23:50Z","title_canon_sha256":"80f91c0c04e8de181c609347afd82d55f0acb45c933f9ae7392adab7939a02f2"},"schema_version":"1.0","source":{"id":"2205.15530","kind":"arxiv","version":2}},"canonical_sha256":"ff87fe2936184b662ab8af9e81f2943132bf77e605676c9ed3f95a4e4dd98a55","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ff87fe2936184b662ab8af9e81f2943132bf77e605676c9ed3f95a4e4dd98a55","first_computed_at":"2026-07-05T05:55:09.171202Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:55:09.171202Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3f5i1UgQ5rJYfNl4k2m06ebS3lQeyD38epE/4qXyN3UZGZPPzaAYPA0TJOpLds1v+5vfnzihy8+RK03dQbugCw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:55:09.171706Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.15530","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:25d67ceacdeadb470fbc8eb0a8b0efa77d8f10907e45839047c0dac5437c7744","sha256:5d28efa79ff279dfaee231974b0d45a2aa8f2c91a480a065f4a27796d1e3b92f"],"state_sha256":"bc228615d0a0c951f5ca06e45f2f983452b547abefe8251641fa6e831f7c5fc9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DvqtZNCOSxh8TlFmcfdLH0mPktTf+9/K8plbaURb51N2SqwKs7Z83RQJDwlHEOKBZSDXEAgr9FMUrFLP+XLQDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T20:18:29.551798Z","bundle_sha256":"b7601e59caf305ca17eee3a741bc9d2e6f34c9146764225d215e156cd6d0eb16"}}