{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:GLUA7RHGR3U4XRKOGBTCZPIJOM","short_pith_number":"pith:GLUA7RHG","canonical_record":{"source":{"id":"2412.09429","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2024-12-12T16:35:05Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"41ebf2630053d19f974b4fadbb101b8220d3fa027b3b4dbfb7ce0871813abf10","abstract_canon_sha256":"b03a7085e1a97ef81915e7ceeda4a6e9996c791e93352ba1ad9d0b6d2cfba9d2"},"schema_version":"1.0"},"canonical_sha256":"32e80fc4e68ee9cbc54e30662cbd09731aaea3a780501eab00e2dfe5906b7f89","source":{"kind":"arxiv","id":"2412.09429","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.09429","created_at":"2026-07-05T11:32:21Z"},{"alias_kind":"arxiv_version","alias_value":"2412.09429v4","created_at":"2026-07-05T11:32:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.09429","created_at":"2026-07-05T11:32:21Z"},{"alias_kind":"pith_short_12","alias_value":"GLUA7RHGR3U4","created_at":"2026-07-05T11:32:21Z"},{"alias_kind":"pith_short_16","alias_value":"GLUA7RHGR3U4XRKO","created_at":"2026-07-05T11:32:21Z"},{"alias_kind":"pith_short_8","alias_value":"GLUA7RHG","created_at":"2026-07-05T11:32:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:GLUA7RHGR3U4XRKOGBTCZPIJOM","target":"record","payload":{"canonical_record":{"source":{"id":"2412.09429","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2024-12-12T16:35:05Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"41ebf2630053d19f974b4fadbb101b8220d3fa027b3b4dbfb7ce0871813abf10","abstract_canon_sha256":"b03a7085e1a97ef81915e7ceeda4a6e9996c791e93352ba1ad9d0b6d2cfba9d2"},"schema_version":"1.0"},"canonical_sha256":"32e80fc4e68ee9cbc54e30662cbd09731aaea3a780501eab00e2dfe5906b7f89","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:32:21.745505Z","signature_b64":"pdeANyuKbBIi/Y0hDRfxOtTIPAefoU4Vnevrwe/tOsazMybiTEH38OFBKU3jR932uRctkZt6SM/w5Dhi7oD7CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"32e80fc4e68ee9cbc54e30662cbd09731aaea3a780501eab00e2dfe5906b7f89","last_reissued_at":"2026-07-05T11:32:21.744995Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:32:21.744995Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.09429","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:32:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0o7YlUsHviS1JP5Y7X4bckS77r/BblcEoaUqArlOcr0gLXhZExx458ooJr2W8RWLiuD7udaxjHtHAREZ6hF7Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T06:04:22.614938Z"},"content_sha256":"55353302466c510a1ee2f38e93dcc9fc5fd85f93da091a07af2d4a6a10bf64ea","schema_version":"1.0","event_id":"sha256:55353302466c510a1ee2f38e93dcc9fc5fd85f93da091a07af2d4a6a10bf64ea"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:GLUA7RHGR3U4XRKOGBTCZPIJOM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"From Intention To Implementation: Automating Biomedical Research via LLMs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.MA","authors_text":"Aobo Zhuang, Chen Lin, Linghang Shi, Ling Liu, Yeyun Gong, Yihao Li, Yi Luo","submitted_at":"2024-12-12T16:35:05Z","abstract_excerpt":"Conventional biomedical research is increasingly labor-intensive due to the exponential growth of scientific literature and datasets. Artificial intelligence (AI), particularly Large Language Models (LLMs), has the potential to revolutionize this process by automating various steps. Still, significant challenges remain, including the need for multidisciplinary expertise, logicality of experimental design, and performance measurements. This paper introduces BioResearcher, the first end-to-end automated system designed to streamline the entire biomedical research process involving dry lab experi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.09429","kind":"arxiv","version":4},"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/2412.09429/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":"2026-07-05T11:32:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ScmmGkIfDGd7bHoSZvVi78tyEg2Mcsfz9t8kYqqws/qGrIebweunLdDc8NQDNnOSfJAWcRSr+Lb5EZTgp84+BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T06:04:22.615444Z"},"content_sha256":"116707bf3ef09061c93492fb3fea16e8975ff68b81c8f3f0dae32f9ae540c453","schema_version":"1.0","event_id":"sha256:116707bf3ef09061c93492fb3fea16e8975ff68b81c8f3f0dae32f9ae540c453"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GLUA7RHGR3U4XRKOGBTCZPIJOM/bundle.json","state_url":"https://pith.science/pith/GLUA7RHGR3U4XRKOGBTCZPIJOM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GLUA7RHGR3U4XRKOGBTCZPIJOM/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":"2026-08-15T06:04:22Z","links":{"resolver":"https://pith.science/pith/GLUA7RHGR3U4XRKOGBTCZPIJOM","bundle":"https://pith.science/pith/GLUA7RHGR3U4XRKOGBTCZPIJOM/bundle.json","state":"https://pith.science/pith/GLUA7RHGR3U4XRKOGBTCZPIJOM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GLUA7RHGR3U4XRKOGBTCZPIJOM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GLUA7RHGR3U4XRKOGBTCZPIJOM","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":"b03a7085e1a97ef81915e7ceeda4a6e9996c791e93352ba1ad9d0b6d2cfba9d2","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2024-12-12T16:35:05Z","title_canon_sha256":"41ebf2630053d19f974b4fadbb101b8220d3fa027b3b4dbfb7ce0871813abf10"},"schema_version":"1.0","source":{"id":"2412.09429","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.09429","created_at":"2026-07-05T11:32:21Z"},{"alias_kind":"arxiv_version","alias_value":"2412.09429v4","created_at":"2026-07-05T11:32:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.09429","created_at":"2026-07-05T11:32:21Z"},{"alias_kind":"pith_short_12","alias_value":"GLUA7RHGR3U4","created_at":"2026-07-05T11:32:21Z"},{"alias_kind":"pith_short_16","alias_value":"GLUA7RHGR3U4XRKO","created_at":"2026-07-05T11:32:21Z"},{"alias_kind":"pith_short_8","alias_value":"GLUA7RHG","created_at":"2026-07-05T11:32:21Z"}],"graph_snapshots":[{"event_id":"sha256:116707bf3ef09061c93492fb3fea16e8975ff68b81c8f3f0dae32f9ae540c453","target":"graph","created_at":"2026-07-05T11:32:21Z","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/2412.09429/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conventional biomedical research is increasingly labor-intensive due to the exponential growth of scientific literature and datasets. Artificial intelligence (AI), particularly Large Language Models (LLMs), has the potential to revolutionize this process by automating various steps. Still, significant challenges remain, including the need for multidisciplinary expertise, logicality of experimental design, and performance measurements. This paper introduces BioResearcher, the first end-to-end automated system designed to streamline the entire biomedical research process involving dry lab experi","authors_text":"Aobo Zhuang, Chen Lin, Linghang Shi, Ling Liu, Yeyun Gong, Yihao Li, Yi Luo","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2024-12-12T16:35:05Z","title":"From Intention To Implementation: Automating Biomedical Research via LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.09429","kind":"arxiv","version":4},"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":"sha256:55353302466c510a1ee2f38e93dcc9fc5fd85f93da091a07af2d4a6a10bf64ea","target":"record","created_at":"2026-07-05T11:32:21Z","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":"b03a7085e1a97ef81915e7ceeda4a6e9996c791e93352ba1ad9d0b6d2cfba9d2","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2024-12-12T16:35:05Z","title_canon_sha256":"41ebf2630053d19f974b4fadbb101b8220d3fa027b3b4dbfb7ce0871813abf10"},"schema_version":"1.0","source":{"id":"2412.09429","kind":"arxiv","version":4}},"canonical_sha256":"32e80fc4e68ee9cbc54e30662cbd09731aaea3a780501eab00e2dfe5906b7f89","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"32e80fc4e68ee9cbc54e30662cbd09731aaea3a780501eab00e2dfe5906b7f89","first_computed_at":"2026-07-05T11:32:21.744995Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:32:21.744995Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pdeANyuKbBIi/Y0hDRfxOtTIPAefoU4Vnevrwe/tOsazMybiTEH38OFBKU3jR932uRctkZt6SM/w5Dhi7oD7CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:32:21.745505Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.09429","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:55353302466c510a1ee2f38e93dcc9fc5fd85f93da091a07af2d4a6a10bf64ea","sha256:116707bf3ef09061c93492fb3fea16e8975ff68b81c8f3f0dae32f9ae540c453"],"state_sha256":"ed4e6b28607d9574c628b6f38b646e89f1d3b58ac5b1e518bf9d7139848367fd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"efLG/lWsut22QMgwjyorONIk3jsYy/N2OrUoHlxR5ErbB/vTmEVURUFV1HiOQhBO7WF71TwCDKxsTQVeqmCEDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T06:04:22.620206Z","bundle_sha256":"7d502dcc027e075a5bc8d340f7e1dadfa72ed15fecff7e609def12babeced24d"}}