{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:CUN6E4QPI3Z7VQGWKMF4CHX6EP","short_pith_number":"pith:CUN6E4QP","canonical_record":{"source":{"id":"2205.07139","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-14T21:44:05Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"219c9b452b86d2a8d223a922698a2554b2b337f13a956279bc3ecd2b4b61b4ae","abstract_canon_sha256":"d55aacd53d6af6f3933a110470fa2a433fd4c468981651583fd9a35970046837"},"schema_version":"1.0"},"canonical_sha256":"151be2720f46f3fac0d6530bc11efe23febb9386ef1da250eb5bec40107db090","source":{"kind":"arxiv","id":"2205.07139","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.07139","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"arxiv_version","alias_value":"2205.07139v1","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.07139","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"pith_short_12","alias_value":"CUN6E4QPI3Z7","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"pith_short_16","alias_value":"CUN6E4QPI3Z7VQGW","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"pith_short_8","alias_value":"CUN6E4QP","created_at":"2026-07-05T05:04:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:CUN6E4QPI3Z7VQGWKMF4CHX6EP","target":"record","payload":{"canonical_record":{"source":{"id":"2205.07139","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-14T21:44:05Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"219c9b452b86d2a8d223a922698a2554b2b337f13a956279bc3ecd2b4b61b4ae","abstract_canon_sha256":"d55aacd53d6af6f3933a110470fa2a433fd4c468981651583fd9a35970046837"},"schema_version":"1.0"},"canonical_sha256":"151be2720f46f3fac0d6530bc11efe23febb9386ef1da250eb5bec40107db090","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:04:13.085523Z","signature_b64":"uvpVyj07nxX3kc2PG5b3Yik7YBioB0a1IDgS3aRxPGkfzHgHlRw3PSnhy9Z2AxB9fTssJGXEFcpHHOJXNg3cCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"151be2720f46f3fac0d6530bc11efe23febb9386ef1da250eb5bec40107db090","last_reissued_at":"2026-07-05T05:04:13.085082Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:04:13.085082Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.07139","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":"2026-07-05T05:04:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jgQy+jMFJSFP+ii4qC1q3vUI+jmbew/spCW8ix8TSAQHGtLBrmei6q94u+fS2NAHlJyb6u8RIYnaqgB8nBgEDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T19:58:28.089717Z"},"content_sha256":"67c62214e0d2792678a77c7f16daa7f6e8568c15097c038af32112b338efcf75","schema_version":"1.0","event_id":"sha256:67c62214e0d2792678a77c7f16daa7f6e8568c15097c038af32112b338efcf75"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:CUN6E4QPI3Z7VQGWKMF4CHX6EP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Constantin Seibold, Jens Kleesiek, M. Saquib Sarfraz, Rainer Stiefelhagen, Simon Rei{\\ss}","submitted_at":"2022-05-14T21:44:05Z","abstract_excerpt":"When reading images, radiologists generate text reports describing the findings therein. Current state-of-the-art computer-aided diagnosis tools utilize a fixed set of predefined categories automatically extracted from these medical reports for training. This form of supervision limits the potential usage of models as they are unable to pick up on anomalies outside of their predefined set, thus, making it a necessity to retrain the classifier with additional data when faced with novel classes. In contrast, we investigate direct text supervision to break away from this closed set assumption. By"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.07139","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/2205.07139/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":"2026-07-05T05:04:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gDcFSFnULYotTav7gwf87WT2ofzlzYpel+Xup4Vy5SicU0SAAq0NlQFcLyd/ThOk8KJaBT5mpE23HSinTn2UBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T19:58:28.090786Z"},"content_sha256":"f97fd8fc92aa8304356b700a60d58cc928056553a4322ef38ccbfa138d11c4bb","schema_version":"1.0","event_id":"sha256:f97fd8fc92aa8304356b700a60d58cc928056553a4322ef38ccbfa138d11c4bb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CUN6E4QPI3Z7VQGWKMF4CHX6EP/bundle.json","state_url":"https://pith.science/pith/CUN6E4QPI3Z7VQGWKMF4CHX6EP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CUN6E4QPI3Z7VQGWKMF4CHX6EP/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":"2026-08-03T19:58:28Z","links":{"resolver":"https://pith.science/pith/CUN6E4QPI3Z7VQGWKMF4CHX6EP","bundle":"https://pith.science/pith/CUN6E4QPI3Z7VQGWKMF4CHX6EP/bundle.json","state":"https://pith.science/pith/CUN6E4QPI3Z7VQGWKMF4CHX6EP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CUN6E4QPI3Z7VQGWKMF4CHX6EP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:CUN6E4QPI3Z7VQGWKMF4CHX6EP","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":"d55aacd53d6af6f3933a110470fa2a433fd4c468981651583fd9a35970046837","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-14T21:44:05Z","title_canon_sha256":"219c9b452b86d2a8d223a922698a2554b2b337f13a956279bc3ecd2b4b61b4ae"},"schema_version":"1.0","source":{"id":"2205.07139","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.07139","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"arxiv_version","alias_value":"2205.07139v1","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.07139","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"pith_short_12","alias_value":"CUN6E4QPI3Z7","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"pith_short_16","alias_value":"CUN6E4QPI3Z7VQGW","created_at":"2026-07-05T05:04:13Z"},{"alias_kind":"pith_short_8","alias_value":"CUN6E4QP","created_at":"2026-07-05T05:04:13Z"}],"graph_snapshots":[{"event_id":"sha256:f97fd8fc92aa8304356b700a60d58cc928056553a4322ef38ccbfa138d11c4bb","target":"graph","created_at":"2026-07-05T05:04:13Z","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/2205.07139/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"When reading images, radiologists generate text reports describing the findings therein. Current state-of-the-art computer-aided diagnosis tools utilize a fixed set of predefined categories automatically extracted from these medical reports for training. This form of supervision limits the potential usage of models as they are unable to pick up on anomalies outside of their predefined set, thus, making it a necessity to retrain the classifier with additional data when faced with novel classes. In contrast, we investigate direct text supervision to break away from this closed set assumption. By","authors_text":"Constantin Seibold, Jens Kleesiek, M. Saquib Sarfraz, Rainer Stiefelhagen, Simon Rei{\\ss}","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-14T21:44:05Z","title":"Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.07139","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":"sha256:67c62214e0d2792678a77c7f16daa7f6e8568c15097c038af32112b338efcf75","target":"record","created_at":"2026-07-05T05:04:13Z","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":"d55aacd53d6af6f3933a110470fa2a433fd4c468981651583fd9a35970046837","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-14T21:44:05Z","title_canon_sha256":"219c9b452b86d2a8d223a922698a2554b2b337f13a956279bc3ecd2b4b61b4ae"},"schema_version":"1.0","source":{"id":"2205.07139","kind":"arxiv","version":1}},"canonical_sha256":"151be2720f46f3fac0d6530bc11efe23febb9386ef1da250eb5bec40107db090","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"151be2720f46f3fac0d6530bc11efe23febb9386ef1da250eb5bec40107db090","first_computed_at":"2026-07-05T05:04:13.085082Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:04:13.085082Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uvpVyj07nxX3kc2PG5b3Yik7YBioB0a1IDgS3aRxPGkfzHgHlRw3PSnhy9Z2AxB9fTssJGXEFcpHHOJXNg3cCw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:04:13.085523Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.07139","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:67c62214e0d2792678a77c7f16daa7f6e8568c15097c038af32112b338efcf75","sha256:f97fd8fc92aa8304356b700a60d58cc928056553a4322ef38ccbfa138d11c4bb"],"state_sha256":"0f09742707eb2cf298a7b40646b1d1d3f878696354dc7f27f6904e7dfc3a4b3a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RGOAlbfkOJLIgxduB1qCaGiOr4m4iftxxSkIG+ys751vZsqawuIt72O0BwWm1Ri9WXP6q4uTRXEh5ZsoPiZJCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T19:58:28.098380Z","bundle_sha256":"cc0837d6721c098571136fc99bedb36b838e3b699d6147700ba7f739610efd88"}}