{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:RHXYNWLJFXKJWPHGBX3X6WRTZQ","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":"c32ce5a339dcb4ec1641fd60d7d8a3067da3b50b82f322398e8cfb7bf8a216bc","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2023-03-11T01:24:10Z","title_canon_sha256":"003d860eeed8ddfae3f2c0adf4fc2bdc296bc03cd9d7d67591a76886bb7e193c"},"schema_version":"1.0","source":{"id":"2303.06275","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.06275","created_at":"2026-07-05T07:01:59Z"},{"alias_kind":"arxiv_version","alias_value":"2303.06275v2","created_at":"2026-07-05T07:01:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.06275","created_at":"2026-07-05T07:01:59Z"},{"alias_kind":"pith_short_12","alias_value":"RHXYNWLJFXKJ","created_at":"2026-07-05T07:01:59Z"},{"alias_kind":"pith_short_16","alias_value":"RHXYNWLJFXKJWPHG","created_at":"2026-07-05T07:01:59Z"},{"alias_kind":"pith_short_8","alias_value":"RHXYNWLJ","created_at":"2026-07-05T07:01:59Z"}],"graph_snapshots":[{"event_id":"sha256:aa3bf8317363574ebff38f1196ece8ef865559c89d040d6a0d20ca7706cdb45c","target":"graph","created_at":"2026-07-05T07:01:59Z","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/2303.06275/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning effective protein representations is critical in a variety of tasks in biology such as predicting protein functions. Recent sequence representation learning methods based on Protein Language Models (PLMs) excel in sequence-based tasks, but their direct adaptation to tasks involving protein structures remains a challenge. In contrast, structure-based methods leverage 3D structural information with graph neural networks and geometric pre-training methods show potential in function prediction tasks, but still suffers from the limited number of available structures. To bridge this gap, ou","authors_text":"Aur\\'elie Lozano, Chuanrui Wang, Jian Tang, Minghao Xu, Payel Das, Vijil Chenthamarakshan, Zuobai Zhang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2023-03-11T01:24:10Z","title":"A Systematic Study of Joint Representation Learning on Protein Sequences and Structures"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.06275","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:e235e3b4ca7065bc1f07d5c4529fdfaa78eb937e509a43f6a2fb40dae180a51f","target":"record","created_at":"2026-07-05T07:01:59Z","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":"c32ce5a339dcb4ec1641fd60d7d8a3067da3b50b82f322398e8cfb7bf8a216bc","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2023-03-11T01:24:10Z","title_canon_sha256":"003d860eeed8ddfae3f2c0adf4fc2bdc296bc03cd9d7d67591a76886bb7e193c"},"schema_version":"1.0","source":{"id":"2303.06275","kind":"arxiv","version":2}},"canonical_sha256":"89ef86d9692dd49b3ce60df77f5a33cc22abbe32a44dadef56b58042de5c7e6c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"89ef86d9692dd49b3ce60df77f5a33cc22abbe32a44dadef56b58042de5c7e6c","first_computed_at":"2026-07-05T07:01:59.690591Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:01:59.690591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iD6l0RJSGNn+AATOwC7wF5SKDMn4P27c8EHrHyzjJPM5rsg9GKAhCItcakaiWQ5Eeh+bIEURCtKdH42tN7TYCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:01:59.691137Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.06275","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e235e3b4ca7065bc1f07d5c4529fdfaa78eb937e509a43f6a2fb40dae180a51f","sha256:aa3bf8317363574ebff38f1196ece8ef865559c89d040d6a0d20ca7706cdb45c"],"state_sha256":"a6bd0f99652954b65985737f51a7e2a2df5ff9eef7aaaf436aae8d062f03c584"}