{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:SFMG5TGEKZTI2CFEUOPGRAAJ37","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":"a91e42896744496f6038b00e9efd859c73bedfb819b30a8db2651aaad24b3b42","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-12-11T10:59:23Z","title_canon_sha256":"fa12310b01c426a3fe945def1d5234b8d4008a3730168101cb2752cb9f4dc1fa"},"schema_version":"1.0","source":{"id":"2312.06297","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.06297","created_at":"2026-07-05T08:46:20Z"},{"alias_kind":"arxiv_version","alias_value":"2312.06297v2","created_at":"2026-07-05T08:46:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.06297","created_at":"2026-07-05T08:46:20Z"},{"alias_kind":"pith_short_12","alias_value":"SFMG5TGEKZTI","created_at":"2026-07-05T08:46:20Z"},{"alias_kind":"pith_short_16","alias_value":"SFMG5TGEKZTI2CFE","created_at":"2026-07-05T08:46:20Z"},{"alias_kind":"pith_short_8","alias_value":"SFMG5TGE","created_at":"2026-07-05T08:46:20Z"}],"graph_snapshots":[{"event_id":"sha256:3b419084f132839ad8839b48cd2d09d00c7787fb53bdfc7b19e8d2015427c7de","target":"graph","created_at":"2026-07-05T08:46:20Z","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/2312.06297/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While deep generative models show promise for learning inverse protein folding directly from data, the lack of publicly available structure-sequence pairings limits their generalization. Previous improvements and data augmentation efforts to overcome this bottleneck have been insufficient. To further address this challenge, we propose a novel protein design paradigm called MMDesign, which leverages multi-modality transfer learning. To our knowledge, MMDesign is the first framework that combines a pretrained structural module with a pretrained contextual module, using an auto-encoder (AE) based","authors_text":"Jiangbin Zheng, Stan Z. Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-12-11T10:59:23Z","title":"Progressive Multi-Modality Learning for Inverse Protein Folding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.06297","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:b6783527c6f89555f40c97dc419bcf09d960d077185612577d6ffa38a03c6f66","target":"record","created_at":"2026-07-05T08:46:20Z","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":"a91e42896744496f6038b00e9efd859c73bedfb819b30a8db2651aaad24b3b42","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-12-11T10:59:23Z","title_canon_sha256":"fa12310b01c426a3fe945def1d5234b8d4008a3730168101cb2752cb9f4dc1fa"},"schema_version":"1.0","source":{"id":"2312.06297","kind":"arxiv","version":2}},"canonical_sha256":"91586eccc456668d08a4a39e688009dfc9797a659663dae9f84abbb495751ad6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"91586eccc456668d08a4a39e688009dfc9797a659663dae9f84abbb495751ad6","first_computed_at":"2026-07-05T08:46:20.031306Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:46:20.031306Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cxeqkMYZVHWCJ74lDgCMv/5e+sSnE849ytgnt/93uSUxkESEBs26fm913c3dPENowXOdtDENeczaK9eog+O3Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:46:20.031733Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.06297","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b6783527c6f89555f40c97dc419bcf09d960d077185612577d6ffa38a03c6f66","sha256:3b419084f132839ad8839b48cd2d09d00c7787fb53bdfc7b19e8d2015427c7de"],"state_sha256":"5338e443975e2e5d069ace6c617da8b6636fca44cf9cd275726e2155dbabab4d"}