{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:YHBBE77GBX5SHLGFZ55RXUISO5","short_pith_number":"pith:YHBBE77G","canonical_record":{"source":{"id":"2403.08664","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-03-13T16:17:09Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ef48fded39d0eae7650617eb7ca5916e94476c60cff4de5225301d2289602bdd","abstract_canon_sha256":"5d381c0a11ed93279297b18d3f62a87dcafb1b7d2f534199e2508ab40281b14e"},"schema_version":"1.0"},"canonical_sha256":"c1c2127fe60dfb23acc5cf7b1bd1127771acc3f110dd2b5543ea1c3d5888e391","source":{"kind":"arxiv","id":"2403.08664","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.08664","created_at":"2026-07-05T07:56:04Z"},{"alias_kind":"arxiv_version","alias_value":"2403.08664v2","created_at":"2026-07-05T07:56:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.08664","created_at":"2026-07-05T07:56:04Z"},{"alias_kind":"pith_short_12","alias_value":"YHBBE77GBX5S","created_at":"2026-07-05T07:56:04Z"},{"alias_kind":"pith_short_16","alias_value":"YHBBE77GBX5SHLGF","created_at":"2026-07-05T07:56:04Z"},{"alias_kind":"pith_short_8","alias_value":"YHBBE77G","created_at":"2026-07-05T07:56:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:YHBBE77GBX5SHLGFZ55RXUISO5","target":"record","payload":{"canonical_record":{"source":{"id":"2403.08664","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-03-13T16:17:09Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ef48fded39d0eae7650617eb7ca5916e94476c60cff4de5225301d2289602bdd","abstract_canon_sha256":"5d381c0a11ed93279297b18d3f62a87dcafb1b7d2f534199e2508ab40281b14e"},"schema_version":"1.0"},"canonical_sha256":"c1c2127fe60dfb23acc5cf7b1bd1127771acc3f110dd2b5543ea1c3d5888e391","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:56:04.616883Z","signature_b64":"52WOFkFlnxZpWtQifcfeuU7MMBbFthofleo4+80HS8BLOUf2UTnyEq7Ws2WcdOYLljMLGESsHZUckEIJEaAxAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c1c2127fe60dfb23acc5cf7b1bd1127771acc3f110dd2b5543ea1c3d5888e391","last_reissued_at":"2026-07-05T07:56:04.616384Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:56:04.616384Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.08664","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":"2026-07-05T07:56:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"69BrRVJEYrs3g0cRS7K54jL/6VvkZY7BTNNu4N4ARkz2jQvutry4QSgxQqX9Ggk5UVlo/f3Jmw5wMDZhI9cDBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T12:27:31.239407Z"},"content_sha256":"2e79ee0e2e21cbca68652c78113600020f627f09bc5a421729a78263039ba831","schema_version":"1.0","event_id":"sha256:2e79ee0e2e21cbca68652c78113600020f627f09bc5a421729a78263039ba831"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:YHBBE77GBX5SHLGFZ55RXUISO5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Zero-shot and Few-shot Generation Strategies for Artificial Clinical Records","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Erlend Frayling, Graham McDonald, Jake Lever","submitted_at":"2024-03-13T16:17:09Z","abstract_excerpt":"The challenge of accessing historical patient data for clinical research, while adhering to privacy regulations, is a significant obstacle in medical science. An innovative approach to circumvent this issue involves utilising synthetic medical records that mirror real patient data without compromising individual privacy. The creation of these synthetic datasets, particularly without using actual patient data to train Large Language Models (LLMs), presents a novel solution as gaining access to sensitive patient information to train models is also a challenge. This study assesses the capability "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.08664","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/2403.08664/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":"2026-07-05T07:56:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gWXRQltcJnmdeWha8OCFEfo0hnPazOLQhfVy1VDH4rtEghxBTRCr1JnUkohLQ1NHn+w+MrEbfbkcyWszik8XCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T12:27:31.240079Z"},"content_sha256":"f0ed30387cfaba60569fb7bc4c74e3efcdfb631a3f00921a7f68c623a6b1f3ea","schema_version":"1.0","event_id":"sha256:f0ed30387cfaba60569fb7bc4c74e3efcdfb631a3f00921a7f68c623a6b1f3ea"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YHBBE77GBX5SHLGFZ55RXUISO5/bundle.json","state_url":"https://pith.science/pith/YHBBE77GBX5SHLGFZ55RXUISO5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YHBBE77GBX5SHLGFZ55RXUISO5/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":"2026-08-11T12:27:31Z","links":{"resolver":"https://pith.science/pith/YHBBE77GBX5SHLGFZ55RXUISO5","bundle":"https://pith.science/pith/YHBBE77GBX5SHLGFZ55RXUISO5/bundle.json","state":"https://pith.science/pith/YHBBE77GBX5SHLGFZ55RXUISO5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YHBBE77GBX5SHLGFZ55RXUISO5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YHBBE77GBX5SHLGFZ55RXUISO5","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":"5d381c0a11ed93279297b18d3f62a87dcafb1b7d2f534199e2508ab40281b14e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-03-13T16:17:09Z","title_canon_sha256":"ef48fded39d0eae7650617eb7ca5916e94476c60cff4de5225301d2289602bdd"},"schema_version":"1.0","source":{"id":"2403.08664","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.08664","created_at":"2026-07-05T07:56:04Z"},{"alias_kind":"arxiv_version","alias_value":"2403.08664v2","created_at":"2026-07-05T07:56:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.08664","created_at":"2026-07-05T07:56:04Z"},{"alias_kind":"pith_short_12","alias_value":"YHBBE77GBX5S","created_at":"2026-07-05T07:56:04Z"},{"alias_kind":"pith_short_16","alias_value":"YHBBE77GBX5SHLGF","created_at":"2026-07-05T07:56:04Z"},{"alias_kind":"pith_short_8","alias_value":"YHBBE77G","created_at":"2026-07-05T07:56:04Z"}],"graph_snapshots":[{"event_id":"sha256:f0ed30387cfaba60569fb7bc4c74e3efcdfb631a3f00921a7f68c623a6b1f3ea","target":"graph","created_at":"2026-07-05T07:56:04Z","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/2403.08664/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The challenge of accessing historical patient data for clinical research, while adhering to privacy regulations, is a significant obstacle in medical science. An innovative approach to circumvent this issue involves utilising synthetic medical records that mirror real patient data without compromising individual privacy. The creation of these synthetic datasets, particularly without using actual patient data to train Large Language Models (LLMs), presents a novel solution as gaining access to sensitive patient information to train models is also a challenge. This study assesses the capability ","authors_text":"Erlend Frayling, Graham McDonald, Jake Lever","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-03-13T16:17:09Z","title":"Zero-shot and Few-shot Generation Strategies for Artificial Clinical Records"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.08664","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":"sha256:2e79ee0e2e21cbca68652c78113600020f627f09bc5a421729a78263039ba831","target":"record","created_at":"2026-07-05T07:56:04Z","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":"5d381c0a11ed93279297b18d3f62a87dcafb1b7d2f534199e2508ab40281b14e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-03-13T16:17:09Z","title_canon_sha256":"ef48fded39d0eae7650617eb7ca5916e94476c60cff4de5225301d2289602bdd"},"schema_version":"1.0","source":{"id":"2403.08664","kind":"arxiv","version":2}},"canonical_sha256":"c1c2127fe60dfb23acc5cf7b1bd1127771acc3f110dd2b5543ea1c3d5888e391","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c1c2127fe60dfb23acc5cf7b1bd1127771acc3f110dd2b5543ea1c3d5888e391","first_computed_at":"2026-07-05T07:56:04.616384Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:56:04.616384Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"52WOFkFlnxZpWtQifcfeuU7MMBbFthofleo4+80HS8BLOUf2UTnyEq7Ws2WcdOYLljMLGESsHZUckEIJEaAxAA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:56:04.616883Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.08664","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2e79ee0e2e21cbca68652c78113600020f627f09bc5a421729a78263039ba831","sha256:f0ed30387cfaba60569fb7bc4c74e3efcdfb631a3f00921a7f68c623a6b1f3ea"],"state_sha256":"243ea1433d12cb5ca7de0aa429cea917fb546dc1e446e2d916cd81498cab30c1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GTPD7QIzGkTDlqztuRvhMaaK7eOOWAQjDnkxyjif1etdf8StrPAJp1LSF/xIW/TJHrIDuHkuD2xO+YXtFu0iBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T12:27:31.244724Z","bundle_sha256":"d5f67908336a797889fbc99a6173cd504172d7836cf86b8454819861dc5858b3"}}