{"as_of":"2026-08-13T11:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0d42fc547cf921cbeea8a569f4af996ae98b8eb5398b6795c0415dd3d3706cdc","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T11:57:15.552880Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2411.17795/citation-record","integrity":"/paper/2411.17795/integrity","json":"/paper/2411.17795/citation-record.json","paper":"/paper/2411.17795"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.328656Z","title":"Robust deep learning–based protein sequence design using proteinmpnn","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.328656Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:ad84c2b5a5225b8d16d0c6eeab0734e178243e335b20ead6b1c909b1bfc34806","observation_id":"7ed6a9d1-c5bf-4bb7-b85b-e6d90b6bcce3","resolution":{"observed_at":"2026-08-12T11:57:15.328656Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01079","last_updated":"2022-02-12T00:55:09Z","snapshot_observed_at":"2026-08-07T17:17:43.723626Z","submitted_at":"2022-02-01T08:28:24Z","title":"AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01079","snapshot_observed_at":"2026-08-12T11:57:15.343627Z","title":"Alphadesign: A graph protein design method and benchmark on alphafolddb","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.343627Z"},"links":{"cited_paper":"/paper/2202.01079","citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:7e6c7f3d3aae060c51adce86b5649bef3f8959e3fbba38100d916c76b7aa2bf6","observation_id":"e37d7ce2-4b66-456b-b4fe-112f1e3cebce","resolution":{"observed_at":"2026-08-12T11:57:15.343627Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.12643","last_updated":"2023-04-13T04:52:13Z","snapshot_observed_at":"2026-08-11T16:03:32.443026Z","submitted_at":"2022-09-22T04:52:27Z","title":"PiFold: Toward effective and efficient protein inverse folding","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.12643","snapshot_observed_at":"2026-08-12T11:57:15.351547Z","title":"Pifold: Toward effective and efficient protein inverse folding","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.351547Z"},"links":{"cited_paper":"/paper/2209.12643","citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:0e0f837095e22c2845d2855f8566b8677a1f3bcfb3e8347aba37f0b33c25644d","observation_id":"67282ffd-27c0-4c3c-96b5-6d0e17bb5b1a","resolution":{"observed_at":"2026-08-12T11:57:15.351547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:16.271424Z","title":"Self-mutual distillation learning for continuous sign language recognition","venue":null,"work_id":"6eeac850-9f07-4993-9e99-99e7a0667c39","year":2021},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.361187Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:0b8cfa98a101e5bdb0557b0ecb1babb6f25840d8786b487d83d31b233e47eb27","observation_id":"f334504b-3e5e-432f-997d-9b6978c428cb","resolution":{"observed_at":"2026-08-12T11:57:16.277095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:16.252968Z","title":"Learning inverse folding from millions of predicted structures","venue":null,"work_id":"82e0528c-58b3-48a2-a2d6-5765711db3c3","year":2022},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.367531Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:a1e2bf50374b1fde5acddb47cab2fe20e3b819f1fcfe8ecfcc090be208fee458","observation_id":"5fb7f928-f272-4128-aba5-3071a1be40c8","resolution":{"observed_at":"2026-08-12T11:57:16.258959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.373881Z","title":"Learning complete protein representation by deep coupling of sequence and structure","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.373881Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:cab7a6e84801f86f4608f965b0d9438af2b8f69dd3868e764391f5f44944dc43","observation_id":"34e529b0-0d0c-438a-814e-a82d6a421736","resolution":{"observed_at":"2026-08-12T11:57:15.373881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.16742","last_updated":"2022-11-30T04:58:54Z","snapshot_observed_at":"2026-08-11T23:44:42.158820Z","submitted_at":"2022-11-30T04:58:54Z","title":"Protein Language Models and Structure Prediction: Connection and Progression","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.16742","snapshot_observed_at":"2026-08-12T11:57:15.380936Z","title":"Protein language models and structure prediction: Connection and progression","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.380936Z"},"links":{"cited_paper":"/paper/2211.16742","citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:7a8aaae58bce32f274864384084beae9a989430d73adc046e14a2179c3e90adf","observation_id":"ccafb3c3-34fd-4243-9588-860d9c7b853d","resolution":{"observed_at":"2026-08-12T11:57:15.380936Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.387395Z","title":"Protein 3d graph structure learning for robust structure-based protein property prediction","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.387395Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:29dd9539f141cd1f32ff5b125f79f40e1f445ab867682991a579055fa791538c","observation_id":"15b1a4b3-0cf2-432f-918c-669a33589de5","resolution":{"observed_at":"2026-08-12T11:57:15.387395Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.10888","last_updated":"2023-02-05T14:13:32Z","snapshot_observed_at":"2026-07-06T14:54:15.390552Z","submitted_at":"2023-02-05T14:13:32Z","title":"Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.10888","snapshot_observed_at":"2026-08-12T11:57:15.393357Z","title":"Data-efficient protein 3d geometric pretraining via refinement of diffused protein structure decoy","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.393357Z"},"links":{"cited_paper":"/paper/2302.10888","citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:0245c2479f6fe3c0fbfa483352ca599a361b92d1041507e45031861983e34279","observation_id":"074acbe7-6acb-4891-b517-ce70d8fd2a93","resolution":{"observed_at":"2026-08-12T11:57:15.393357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:16.188496Z","title":"Generative models for graph-based protein design","venue":null,"work_id":"17c0acfd-4a91-4ae5-b89e-120f288e35c5","year":2019},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.399192Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:98e4e5999b4f969417f20f746b0345a3d17ab39e4ad49166cda284f31a034bb3","observation_id":"0b11ad91-8539-4e61-9806-e9d7011ad937","resolution":{"observed_at":"2026-08-12T11:57:16.194902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.01411","last_updated":"2021-05-16T02:35:25Z","snapshot_observed_at":"2026-08-09T23:09:29.472547Z","submitted_at":"2020-09-03T01:54:25Z","title":"Learning from Protein Structure with Geometric Vector Perceptrons","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.01411","snapshot_observed_at":"2026-08-12T11:57:15.404455Z","title":"Learning from protein structure with geometric vector perceptrons","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.404455Z"},"links":{"cited_paper":"/paper/2009.01411","citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:8e1bb0d491d4be3c3d12725d7d1c30d0eb94bcabd14cf171f3ccc309f8879dad","observation_id":"fcb2a79e-ab80-475f-ae9d-7d3fe821e834","resolution":{"observed_at":"2026-08-12T11:57:15.404455Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:16.165459Z","title":"Highly accurate protein structure prediction with alphafold","venue":null,"work_id":"29301536-d173-4574-83c0-5536b6d98987","year":2021},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.411482Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:8eaf4166cf4c21b129f7f26a97a12a989766c630113556655a70389644fb7662","observation_id":"8d1377ff-fde8-48ef-9c74-a6f4bf0f26aa","resolution":{"observed_at":"2026-08-12T11:57:16.174102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.416754Z","title":"Technical approaches to chinese sign language processing: a review","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.416754Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:7d1d9ad66bdb92091ebf097a660c68d41d5577f701e0904d0726fc839add5929","observation_id":"1c11e869-e5ab-4110-9c7d-e33b1b9beafb","resolution":{"observed_at":"2026-08-12T11:57:15.416754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:16.128502Z","title":"Direct prediction of profiles of sequences compatible with a protein structure by neural networks with fragment-based local and energy-based nonlocal profiles","venue":null,"work_id":"bd9bf08e-3211-4a1c-8b2b-47e532d2445f","year":2014},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.423408Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:1132a5b555a21bea6390d24a90af0b19d3e7f1d1e06610d2c555ae84061cfc79","observation_id":"feea368f-ae07-4a7b-80c2-baaeb651e0a0","resolution":{"observed_at":"2026-08-12T11:57:16.136747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.428424Z","title":"Language models of protein sequences at the scale of evolution enable accurate structure prediction","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.428424Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:bf15b4005c9cb5cd1e12befb2a5df0abb774183d4063165b059d6f495d365e62","observation_id":"6f5997c3-6117-4a87-96a8-f5d71c8419fd","resolution":{"observed_at":"2026-08-12T11:57:15.428424Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:16.090184Z","title":"Machine learning-aided engineering of hydrolases for pet depolymerization","venue":null,"work_id":"ba27460e-d44a-4855-9c15-e98f2fa6a217","year":2022},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.433181Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:079eb0d163d94ba82e01a78fc417ded9273e141c2078e010e74780fb58a0db43","observation_id":"7a531ab0-7311-4a99-8530-9e4e07c7479d","resolution":{"observed_at":"2026-08-12T11:57:16.096384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:16.066137Z","title":"Language models enable zero-shot prediction of the effects of mutations on protein function","venue":null,"work_id":"fbe80ef4-569b-44ed-a08d-c6a6d4811cbc","year":2021},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.438840Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:dc6cf2c77346353f9aaa353068742360e58d9685d2c0184c3a7baceac431e03b","observation_id":"eeb2859f-c323-4985-8391-4afeacacc2e8","resolution":{"observed_at":"2026-08-12T11:57:16.074316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:16.048795Z","title":"Proteingym: Large-scale benchmarks for protein design and fitness prediction","venue":null,"work_id":"1e7c369f-e775-45b3-a049-ae8978fe5e37","year":2023},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.444721Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:8c9f55978ad5c12fcce1d3e807f16fcd797fc46b39f744534ab2c7fb95246409","observation_id":"4d186dcc-c3bc-4065-8662-95905129cc5a","resolution":{"observed_at":"2026-08-12T11:57:16.054375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.449576Z","title":"Spin2: Predicting sequence profiles from protein structures using deep neural networks","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.449576Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:d15ed8eb7cc56c0a303a6f5a0324f6152847f5a548a67afe657355d65241af38","observation_id":"ce22478b-ffeb-48c4-9d1d-297c40047fcb","resolution":{"observed_at":"2026-08-12T11:57:15.449576Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.454602Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.454602Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:db01e9066ce31f7bad153686053fff6b5b9def5408cdf1210d1507ac16cc2141","observation_id":"e84eefff-e0ba-40d9-9732-40f22afdebfc","resolution":{"observed_at":"2026-08-12T11:57:15.454602Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.06125","last_updated":"2022-04-13T01:10:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-13T01:10:33Z","title":"Hierarchical Text-Conditional Image Generation with CLIP Latents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.06125","snapshot_observed_at":"2026-08-12T11:57:15.459647Z","title":"Hierarchical text-conditional image generation with clip latents","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.459647Z"},"links":{"cited_paper":"/paper/2204.06125","citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:f66285bd05c07bb41e30b84570585db5658f0b8df1e4510346a3b41d1f8f74ef","observation_id":"d0a52d08-e8a8-4f1b-a949-d45d7f45f5c8","resolution":{"observed_at":"2026-08-12T11:57:15.459647Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:16.004517Z","title":"Transformer protein language models are unsupervised structure learners","venue":null,"work_id":"55f25d14-0eee-45fa-8ade-16196362e65c","year":2020},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.464778Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:65a67d5691bbfcc6327d2f03595632a13c1066d68aa602fd0b40e01d0ab8f880","observation_id":"2c0d3d96-676f-45da-8208-dbc2c682c1ac","resolution":{"observed_at":"2026-08-12T11:57:16.010135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.470128Z","title":"Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.470128Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:685776fd616aeeff70f06ba577e7644f2e194e9f5cba351436cc14e40f3fa0ef","observation_id":"a5d4d48d-6c4e-414d-9168-61729fc714e6","resolution":{"observed_at":"2026-08-12T11:57:15.470128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.10673","last_updated":"2023-02-21T02:57:41Z","snapshot_observed_at":"2026-08-10T06:31:15.464131Z","submitted_at":"2022-04-21T02:55:01Z","title":"Generative De Novo Protein Design with Global Context","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.10673","snapshot_observed_at":"2026-08-12T11:57:15.475414Z","title":"Generative de novo protein design with global context","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.475414Z"},"links":{"cited_paper":"/paper/2204.10673","citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:607cd0adbc6671895ded82399e1cf48217f2edebef112923e20be4f4313cb9df","observation_id":"04b4f8b1-eb31-4615-bc8c-01cf34b3cb8d","resolution":{"observed_at":"2026-08-12T11:57:15.475414Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.480420Z","title":"A document-level neural machine translation model with dynamic caching guided by theme-rheme information","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.480420Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:930b1e5371490c7a73991c11f12ada414f35e15cc1b1c521c14776f64ad5d375","observation_id":"ffe37b98-b1a9-4d6c-a060-2dae186ed31f","resolution":{"observed_at":"2026-08-12T11:57:15.480420Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.484874Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.484874Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:ddd3d8b5c1d056c87eced9f90a69dfb14526d6e48a7c3e0f3f08f5ac1463f5bf","observation_id":"5ca15847-0e1f-4da7-864e-da4aa5863290","resolution":{"observed_at":"2026-08-12T11:57:15.484874Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.489727Z","title":"Fuzzy slic: Fuzzy simple linear iterative clustering","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.489727Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:d883bbdeb172b6135e88e8e96b66ad17fa1efcaae9c08242e72afd019ba22226","observation_id":"53de27d2-6bc6-435a-ad58-a57f10cb4321","resolution":{"observed_at":"2026-08-12T11:57:15.489727Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.494979Z","title":"Discognn: A sample-efficient framework for self-supervised graph representation learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.494979Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:d547eb68e3326923b61887c3db977e08a29bf1a5bcc1357af21f390e13c33829","observation_id":"87e6ddbe-a568-465c-9192-a80e74c5ac77","resolution":{"observed_at":"2026-08-12T11:57:15.494979Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.499835Z","title":"Understand- ing the limitations of deep models for molecular property prediction: Insights and solutions","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.499835Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:0a1b53a0872b2a4d1ae75d25281149404cb70479012e091a7702cc3d06a46a3c","observation_id":"5695f8af-9c53-46de-bb54-e573d41b153d","resolution":{"observed_at":"2026-08-12T11:57:15.499835Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.505887Z","title":"Enhancing neural sign language translation by highlighting the facial expression information","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.505887Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:d40707ae07c273f334cc9c5efc6c306ecb0b37af7ecb8f92677dc69aab0ef02b","observation_id":"05a51306-f1b9-4100-b61b-f7e554abb87c","resolution":{"observed_at":"2026-08-12T11:57:15.505887Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.06297","last_updated":"2024-07-20T12:56:00Z","snapshot_observed_at":"2026-08-13T05:05:13.663882Z","submitted_at":"2023-12-11T10:59:23Z","title":"Progressive Multi-Modality Learning for Inverse Protein Folding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.06297","snapshot_observed_at":"2026-08-12T11:57:15.510819Z","title":"Mmdesign: Multi- modality transfer learning for generative protein design","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.510819Z"},"links":{"cited_paper":"/paper/2312.06297","citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:91c3449a6234dfff2eaeaddbe57c28de06e7afdf089815bf62e5bc29f0fdd797","observation_id":"31351082-c91f-4247-a326-6ec4fed531dc","resolution":{"observed_at":"2026-08-12T11:57:15.510819Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.00526","last_updated":"2022-11-01T15:26:22Z","snapshot_observed_at":"2026-08-09T19:12:59.556911Z","submitted_at":"2022-11-01T15:26:22Z","title":"Leveraging Graph-based Cross-modal Information Fusion for Neural Sign Language Translation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.00526","snapshot_observed_at":"2026-08-12T11:57:15.516229Z","title":"Leveraging graph-based cross-modal information fusion for neural sign language translation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.516229Z"},"links":{"cited_paper":"/paper/2211.00526","citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:f88f8bb0ca9bb43ec99d8daaf04ca4d7b496a80266472eb5339795d10178aae2","observation_id":"988e98e5-5226-4dff-a5b9-11b4c6f49910","resolution":{"observed_at":"2026-08-12T11:57:15.516229Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.521465Z","title":"Progressive multi-modality learning for inverse protein folding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.521465Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:1258a213cd8fb88ea9e5d926fae1302e37c03bac2930da316a897a0a5208992b","observation_id":"40c339e7-9f7a-46d5-b618-234ab1487f66","resolution":{"observed_at":"2026-08-12T11:57:15.521465Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.11783","last_updated":"2024-09-04T02:45:12Z","snapshot_observed_at":"2026-07-06T15:06:08.251101Z","submitted_at":"2023-03-19T08:19:10Z","title":"CCPL: Cross-modal Contrastive Protein Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.11783","snapshot_observed_at":"2026-08-12T11:57:15.526344Z","title":"Lightweight contrastive protein structure-sequence transformation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.526344Z"},"links":{"cited_paper":"/paper/2303.11783","citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:217c50c076cd58780328d84ef912104d530366a98f956db3b8f37b4d97ba8608","observation_id":"08c443c3-d2a4-4bc6-8786-2eeba1bd238f","resolution":{"observed_at":"2026-08-12T11:57:15.526344Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.532411Z","title":"Cvt-slr: Contrastive visual-textual transformation for sign language recognition with variational alignment","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.532411Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:1010cf80861f1c2f18db7a9619e5ae513cf4d1a3b941988d1d23e8eff241a74f","observation_id":"dd97f496-5be3-4138-9e17-57d2d4fd777b","resolution":{"observed_at":"2026-08-12T11:57:15.532411Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.537702Z","title":"Using context-to-vector with graph retrofitting to improve word embeddings","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.537702Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:628312f2fe807dcba22e2fadc341007dd28a93eed152f2a8bc08decbf9ccd280","observation_id":"9f3e2da5-3639-49d9-9b2c-ec39f032653d","resolution":{"observed_at":"2026-08-12T11:57:15.537702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.543144Z","title":"Metaenzyme: Meta pan-enzyme learning for task-adaptive redesign","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.543144Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:59aab8a5934883d5d7e32e2e458675ac1c225d685539a074ce5dc90e850064c6","observation_id":"9bdf0b0b-ae33-4e3f-9ee1-79112a83b0f1","resolution":{"observed_at":"2026-08-12T11:57:15.543144Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.548358Z","title":"An improved sign language translation model with explainable adaptations for processing long sign sentences","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.548358Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:1896d0d3c5aeb1723fb1cafa0d3653b613356535ffcec86749924a491908533c","observation_id":"113112ec-74e9-4797-942a-b26e8b880816","resolution":{"observed_at":"2026-08-12T11:57:15.548358Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:57:15.821590Z","title":"C2slr: Consistency-enhanced continuous sign language recognition","venue":null,"work_id":"7bfbc795-d438-4d83-a1d4-605cc813b2a5","year":2022},"citing_paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T11:57:15.552880Z"},"links":{"citing_paper":"/paper/2411.17795"},"observation_digest":"sha256:fedb809987a8ffa3564e517001c4e2c972b513cb02e010098675fc5429826006","observation_id":"82fb159b-d5eb-4cd4-b018-5671f3745ea0","resolution":{"observed_at":"2026-08-12T11:57:15.828562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.17795","last_updated":"2024-11-26T17:51:33Z","latest_version":1,"primary_category":"q-bio.QM","snapshot_observed_at":"2026-08-12T11:51:44.950137Z","submitted_at":"2024-11-26T17:51:33Z","title":"Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":29,"verified_exact":0,"verified_fuzzy":10},"total_outbound_references":39},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2411.17795."}