{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OUIWWKQSEXUTSCF6UTRSFAUWNP","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":"4df2841fbf7635cd7692dfd7062e5d8914e6d1241d183a5eb7b3c1a19f09390a","cross_cats_sorted":["q-bio.QM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-11-06T08:16:56Z","title_canon_sha256":"69700ebe3c3034ee1fe3ab04b9b7476c36ada5dbc5f106f7d08d8f76382312c9"},"schema_version":"1.0","source":{"id":"2411.03743","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.03743","created_at":"2026-07-05T09:31:55Z"},{"alias_kind":"arxiv_version","alias_value":"2411.03743v1","created_at":"2026-07-05T09:31:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.03743","created_at":"2026-07-05T09:31:55Z"},{"alias_kind":"pith_short_12","alias_value":"OUIWWKQSEXUT","created_at":"2026-07-05T09:31:55Z"},{"alias_kind":"pith_short_16","alias_value":"OUIWWKQSEXUTSCF6","created_at":"2026-07-05T09:31:55Z"},{"alias_kind":"pith_short_8","alias_value":"OUIWWKQS","created_at":"2026-07-05T09:31:55Z"}],"graph_snapshots":[{"event_id":"sha256:8e58263ceb43cc4baac505a746a41ec76f97945d40c986749929fa7796e33907","target":"graph","created_at":"2026-07-05T09:31:55Z","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/2411.03743/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the development of artificial intelligence, its contribution to science is evolving from simulating a complex problem to automating entire research processes and producing novel discoveries. Achieving this advancement requires both specialized general models grounded in real-world scientific data and iterative, exploratory frameworks that mirror human scientific methodologies. In this paper, we present PROTEUS, a fully automated system for scientific discovery from raw proteomics data. PROTEUS uses large language models (LLMs) to perform hierarchical planning, execute specialized bioinfor","authors_text":"Bowen Zhou, Dong Li, Ermo Hua, Fuchu He, Kaiyan Zhang, Linhai Xie, Ning Ding, Shang Qu, Xingtai Lv, Yang Li, Yibai Xiong, Yifei Li, Youbang Sun, Yuxin Zuo, Zaoqu Liu, Zhangren Chen","cross_cats":["q-bio.QM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-11-06T08:16:56Z","title":"Automating Exploratory Proteomics Research via Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.03743","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":"sha256:19fdd44b9728668418534922dbb9976be4578cdcc84b665c8a1e0466b97db4a2","target":"record","created_at":"2026-07-05T09:31:55Z","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":"4df2841fbf7635cd7692dfd7062e5d8914e6d1241d183a5eb7b3c1a19f09390a","cross_cats_sorted":["q-bio.QM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-11-06T08:16:56Z","title_canon_sha256":"69700ebe3c3034ee1fe3ab04b9b7476c36ada5dbc5f106f7d08d8f76382312c9"},"schema_version":"1.0","source":{"id":"2411.03743","kind":"arxiv","version":1}},"canonical_sha256":"75116b2a1225e93908bea4e32282966bc318e7470ab651c69d014ab6ce2669d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"75116b2a1225e93908bea4e32282966bc318e7470ab651c69d014ab6ce2669d9","first_computed_at":"2026-07-05T09:31:55.270158Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:31:55.270158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"evYLirVsyRhNaMjFc3Csg1jha5Xk4CetaPcjG1NHb25oLFTgrj+yEwRaC+x9JZkl34goSN62vqTIap8mbDyVCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:31:55.270755Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.03743","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:19fdd44b9728668418534922dbb9976be4578cdcc84b665c8a1e0466b97db4a2","sha256:8e58263ceb43cc4baac505a746a41ec76f97945d40c986749929fa7796e33907"],"state_sha256":"beb8266f5f09a9ed0e98dcff943572a108a8e70d4b33853415a5ac4d9f80d704"}