{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:7TJR6YE6MAFJYLCJUWQBK4WLPE","short_pith_number":"pith:7TJR6YE6","canonical_record":{"source":{"id":"2210.12186","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-21T18:27:45Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2d0bbc848c2d90a1161f9e6c0a6d77defee38cc1aabda178bd4ea0ec3994ed07","abstract_canon_sha256":"f2bbc9d5c806052b7c945df601756d6b16af9fa1994c85af61d81da9f3406d8b"},"schema_version":"1.0"},"canonical_sha256":"fcd31f609e600a9c2c49a5a01572cb791fedbde29eba0270abc73aec53926958","source":{"kind":"arxiv","id":"2210.12186","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.12186","created_at":"2026-07-05T05:09:24Z"},{"alias_kind":"arxiv_version","alias_value":"2210.12186v1","created_at":"2026-07-05T05:09:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.12186","created_at":"2026-07-05T05:09:24Z"},{"alias_kind":"pith_short_12","alias_value":"7TJR6YE6MAFJ","created_at":"2026-07-05T05:09:24Z"},{"alias_kind":"pith_short_16","alias_value":"7TJR6YE6MAFJYLCJ","created_at":"2026-07-05T05:09:24Z"},{"alias_kind":"pith_short_8","alias_value":"7TJR6YE6","created_at":"2026-07-05T05:09:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:7TJR6YE6MAFJYLCJUWQBK4WLPE","target":"record","payload":{"canonical_record":{"source":{"id":"2210.12186","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-21T18:27:45Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2d0bbc848c2d90a1161f9e6c0a6d77defee38cc1aabda178bd4ea0ec3994ed07","abstract_canon_sha256":"f2bbc9d5c806052b7c945df601756d6b16af9fa1994c85af61d81da9f3406d8b"},"schema_version":"1.0"},"canonical_sha256":"fcd31f609e600a9c2c49a5a01572cb791fedbde29eba0270abc73aec53926958","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:09:24.604617Z","signature_b64":"T6qC7a0gQ3vuZESY48VvyTHZiu0WZv9CBVklMLtJLmVQ0W/e0lx2LO/I05RyFYa1qtur+pVO04Cx2x5xh9QUDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fcd31f609e600a9c2c49a5a01572cb791fedbde29eba0270abc73aec53926958","last_reissued_at":"2026-07-05T05:09:24.604150Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:09:24.604150Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.12186","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":"2026-07-05T05:09:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KF778gKGh0Fn6T4PIgkweMqWAuUty9g0Z7LnAJe1SeYzoqoKpGceTCh/IZ3EUyinDInEYjqTvjJWXVLRZ6r4Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T08:10:44.226746Z"},"content_sha256":"589914e3b23c6386ea6ab54e62a01cfc81eee9f267c47b1cada716bfe49b64ca","schema_version":"1.0","event_id":"sha256:589914e3b23c6386ea6ab54e62a01cfc81eee9f267c47b1cada716bfe49b64ca"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:7TJR6YE6MAFJYLCJUWQBK4WLPE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Christian Bluethgen, Curtis P. Langlotz, Emily Tsai, Jean-Benoit Delbrouck, Omar Almusa, Pierre Chambon","submitted_at":"2022-10-21T18:27:45Z","abstract_excerpt":"Neural image-to-text radiology report generation systems offer the potential to improve radiology reporting by reducing the repetitive process of report drafting and identifying possible medical errors. These systems have achieved promising performance as measured by widely used NLG metrics such as BLEU and CIDEr. However, the current systems face important limitations. First, they present an increased complexity in architecture that offers only marginal improvements on NLG metrics. Secondly, these systems that achieve high performance on these metrics are not always factually complete or cons"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.12186","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/2210.12186/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":"2026-07-05T05:09:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yoKc3zVbms2GEfTDh716Q3hF76H+xxORGsLAfqm39NCwZmN+J5WDXYipa36IAn0//3TX36QBFok3BbB3aTC+Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T08:10:44.227253Z"},"content_sha256":"251e87833f0d824c6826b0552ddb13f8746213b7b58e95e9058a1b46a51f2448","schema_version":"1.0","event_id":"sha256:251e87833f0d824c6826b0552ddb13f8746213b7b58e95e9058a1b46a51f2448"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7TJR6YE6MAFJYLCJUWQBK4WLPE/bundle.json","state_url":"https://pith.science/pith/7TJR6YE6MAFJYLCJUWQBK4WLPE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7TJR6YE6MAFJYLCJUWQBK4WLPE/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":"2026-08-04T08:10:44Z","links":{"resolver":"https://pith.science/pith/7TJR6YE6MAFJYLCJUWQBK4WLPE","bundle":"https://pith.science/pith/7TJR6YE6MAFJYLCJUWQBK4WLPE/bundle.json","state":"https://pith.science/pith/7TJR6YE6MAFJYLCJUWQBK4WLPE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7TJR6YE6MAFJYLCJUWQBK4WLPE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:7TJR6YE6MAFJYLCJUWQBK4WLPE","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":"f2bbc9d5c806052b7c945df601756d6b16af9fa1994c85af61d81da9f3406d8b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-21T18:27:45Z","title_canon_sha256":"2d0bbc848c2d90a1161f9e6c0a6d77defee38cc1aabda178bd4ea0ec3994ed07"},"schema_version":"1.0","source":{"id":"2210.12186","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.12186","created_at":"2026-07-05T05:09:24Z"},{"alias_kind":"arxiv_version","alias_value":"2210.12186v1","created_at":"2026-07-05T05:09:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.12186","created_at":"2026-07-05T05:09:24Z"},{"alias_kind":"pith_short_12","alias_value":"7TJR6YE6MAFJ","created_at":"2026-07-05T05:09:24Z"},{"alias_kind":"pith_short_16","alias_value":"7TJR6YE6MAFJYLCJ","created_at":"2026-07-05T05:09:24Z"},{"alias_kind":"pith_short_8","alias_value":"7TJR6YE6","created_at":"2026-07-05T05:09:24Z"}],"graph_snapshots":[{"event_id":"sha256:251e87833f0d824c6826b0552ddb13f8746213b7b58e95e9058a1b46a51f2448","target":"graph","created_at":"2026-07-05T05:09:24Z","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/2210.12186/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural image-to-text radiology report generation systems offer the potential to improve radiology reporting by reducing the repetitive process of report drafting and identifying possible medical errors. These systems have achieved promising performance as measured by widely used NLG metrics such as BLEU and CIDEr. However, the current systems face important limitations. First, they present an increased complexity in architecture that offers only marginal improvements on NLG metrics. Secondly, these systems that achieve high performance on these metrics are not always factually complete or cons","authors_text":"Christian Bluethgen, Curtis P. Langlotz, Emily Tsai, Jean-Benoit Delbrouck, Omar Almusa, Pierre Chambon","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-21T18:27:45Z","title":"Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.12186","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":"sha256:589914e3b23c6386ea6ab54e62a01cfc81eee9f267c47b1cada716bfe49b64ca","target":"record","created_at":"2026-07-05T05:09:24Z","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":"f2bbc9d5c806052b7c945df601756d6b16af9fa1994c85af61d81da9f3406d8b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-21T18:27:45Z","title_canon_sha256":"2d0bbc848c2d90a1161f9e6c0a6d77defee38cc1aabda178bd4ea0ec3994ed07"},"schema_version":"1.0","source":{"id":"2210.12186","kind":"arxiv","version":1}},"canonical_sha256":"fcd31f609e600a9c2c49a5a01572cb791fedbde29eba0270abc73aec53926958","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fcd31f609e600a9c2c49a5a01572cb791fedbde29eba0270abc73aec53926958","first_computed_at":"2026-07-05T05:09:24.604150Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:09:24.604150Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"T6qC7a0gQ3vuZESY48VvyTHZiu0WZv9CBVklMLtJLmVQ0W/e0lx2LO/I05RyFYa1qtur+pVO04Cx2x5xh9QUDw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:09:24.604617Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.12186","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:589914e3b23c6386ea6ab54e62a01cfc81eee9f267c47b1cada716bfe49b64ca","sha256:251e87833f0d824c6826b0552ddb13f8746213b7b58e95e9058a1b46a51f2448"],"state_sha256":"16797bc0089a2684a412c819f8c2d5d946e2151daad2158d8895acc435332ad8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8rtlcpAoQ5k1oaTlX3iBC6tn06CurjuL17/NmRMNj/t4YrXPfOcF9qp3aBxf/txcA8HqhlNn215gthFSF8jZCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T08:10:44.232004Z","bundle_sha256":"fa203b8404721c2bdaf8be30804f23f80376c3c1a98b673d4b1e4694b4b5987f"}}