{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NZ4FGYPZ42SCIU7BY72PI7V4JC","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":"a5c43f69119cf3ebf150f2f60d4cdcdfa58a0d250c5dcbadd62d6c1a1b3225d8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.BM","submitted_at":"2023-06-22T09:16:20Z","title_canon_sha256":"fe3204eb5bd5080e059a205ab9154c61d6d12db663b73175cce245c4cd37cea6"},"schema_version":"1.0","source":{"id":"2306.12754","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.12754","created_at":"2026-07-05T06:23:47Z"},{"alias_kind":"arxiv_version","alias_value":"2306.12754v1","created_at":"2026-07-05T06:23:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.12754","created_at":"2026-07-05T06:23:47Z"},{"alias_kind":"pith_short_12","alias_value":"NZ4FGYPZ42SC","created_at":"2026-07-05T06:23:47Z"},{"alias_kind":"pith_short_16","alias_value":"NZ4FGYPZ42SCIU7B","created_at":"2026-07-05T06:23:47Z"},{"alias_kind":"pith_short_8","alias_value":"NZ4FGYPZ","created_at":"2026-07-05T06:23:47Z"}],"graph_snapshots":[{"event_id":"sha256:332549d3cc4e3bf77a90a6521a577fcd0966b6ee8dcab378841392ffe1cb601b","target":"graph","created_at":"2026-07-05T06:23:47Z","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/2306.12754/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Protein loop modeling is the most challenging yet highly non-trivial task in protein structure prediction. Despite recent progress, existing methods including knowledge-based, ab initio, hybrid and deep learning (DL) methods fall significantly short of either atomic accuracy or computational efficiency. Moreover, an overarching focus on backbone atoms has resulted in a dearth of attention given to side-chain conformation, a critical aspect in a host of downstream applications including ligand docking, molecular dynamics simulation and drug design. To overcome these limitations, we present Karm","authors_text":"Chang-Yu Hsieh, Guangyong Chen, Odin Zhang, Peichen Pan, Tianyue Wang, Tingjun Hou, Xujun Zhang, Yu Kang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.BM","submitted_at":"2023-06-22T09:16:20Z","title":"Highly accurate and efficient deep learning paradigm for full-atom protein loop modeling with KarmaLoop"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.12754","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:b56b375c93930914248d4a348472d322b51c56dd627344cd9520ac026d3f9b05","target":"record","created_at":"2026-07-05T06:23:47Z","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":"a5c43f69119cf3ebf150f2f60d4cdcdfa58a0d250c5dcbadd62d6c1a1b3225d8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.BM","submitted_at":"2023-06-22T09:16:20Z","title_canon_sha256":"fe3204eb5bd5080e059a205ab9154c61d6d12db663b73175cce245c4cd37cea6"},"schema_version":"1.0","source":{"id":"2306.12754","kind":"arxiv","version":1}},"canonical_sha256":"6e785361f9e6a42453e1c7f4f47ebc48baba03030426ef6dbc6ed75e3952533d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6e785361f9e6a42453e1c7f4f47ebc48baba03030426ef6dbc6ed75e3952533d","first_computed_at":"2026-07-05T06:23:47.683718Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:23:47.683718Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YKE70BVtsVw4IEvCNx3Mdaseycdhuon7oMRlDtzTwCn3kofhP4FBt/cQdzio3e7pf5Klofczpk9TGPRKyjY/Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:23:47.684170Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.12754","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b56b375c93930914248d4a348472d322b51c56dd627344cd9520ac026d3f9b05","sha256:332549d3cc4e3bf77a90a6521a577fcd0966b6ee8dcab378841392ffe1cb601b"],"state_sha256":"a04777ef8dc04162d2f46278fb6a7d8658815e81a9f85a4ec131548f1ef373da"}