{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:5KMJLPYSYFQBJZDMJNEUXDL3NS","short_pith_number":"pith:5KMJLPYS","canonical_record":{"source":{"id":"2207.13921","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.BM","submitted_at":"2022-07-28T07:30:33Z","cross_cats_sorted":["cs.AI","cs.LG","q-bio.QM"],"title_canon_sha256":"e0536093ecae8a6c584fef340fbc2445e13fd2d50a95c5d7c30e4164c256b910","abstract_canon_sha256":"0973404fe8969a6cf03ec04319cdd5fbd24c5e3d773825c2df16bb99c8966435"},"schema_version":"1.0"},"canonical_sha256":"ea9895bf12c16014e46c4b494b8d7b6c8e6ca0580d1a9d247a87d3919daa4768","source":{"kind":"arxiv","id":"2207.13921","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.13921","created_at":"2026-07-05T07:01:57Z"},{"alias_kind":"arxiv_version","alias_value":"2207.13921v3","created_at":"2026-07-05T07:01:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.13921","created_at":"2026-07-05T07:01:57Z"},{"alias_kind":"pith_short_12","alias_value":"5KMJLPYSYFQB","created_at":"2026-07-05T07:01:57Z"},{"alias_kind":"pith_short_16","alias_value":"5KMJLPYSYFQBJZDM","created_at":"2026-07-05T07:01:57Z"},{"alias_kind":"pith_short_8","alias_value":"5KMJLPYS","created_at":"2026-07-05T07:01:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:5KMJLPYSYFQBJZDMJNEUXDL3NS","target":"record","payload":{"canonical_record":{"source":{"id":"2207.13921","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.BM","submitted_at":"2022-07-28T07:30:33Z","cross_cats_sorted":["cs.AI","cs.LG","q-bio.QM"],"title_canon_sha256":"e0536093ecae8a6c584fef340fbc2445e13fd2d50a95c5d7c30e4164c256b910","abstract_canon_sha256":"0973404fe8969a6cf03ec04319cdd5fbd24c5e3d773825c2df16bb99c8966435"},"schema_version":"1.0"},"canonical_sha256":"ea9895bf12c16014e46c4b494b8d7b6c8e6ca0580d1a9d247a87d3919daa4768","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:01:57.087225Z","signature_b64":"j2mRQt+W6WQkzk494TX9Cmf2OXjqzqUyL4w9YM4lxSnMZAMpAIJN8wViGM4NgWaGKXh6Y2QLkpjeNrBzi+i2CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ea9895bf12c16014e46c4b494b8d7b6c8e6ca0580d1a9d247a87d3919daa4768","last_reissued_at":"2026-07-05T07:01:57.086668Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:01:57.086668Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2207.13921","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:01:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1102MpIoee1Ug9GFagvcU4zXITku8qzIhmA7q3oZQG68LjCYxr3QRU27u1SoVNTaet9WJcTdRo/s4TQdY4ilBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:32:56.914705Z"},"content_sha256":"2a0b245cae2a9ccd4331c3ed86d9d1cc1941924ef3aa00077cf08203df9cfe63","schema_version":"1.0","event_id":"sha256:2a0b245cae2a9ccd4331c3ed86d9d1cc1941924ef3aa00077cf08203df9cfe63"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:5KMJLPYSYFQBJZDMJNEUXDL3NS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein Language Model as an Alternative","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","q-bio.QM"],"primary_cat":"q-bio.BM","authors_text":"Dayong Lin, Fan Wang, Hua Wu, Hui Li, Jingzhou He, Le Song, Lihang Liu, Xiaomin Fang, Xiaonan Zhang, Yingfei Xiang","submitted_at":"2022-07-28T07:30:33Z","abstract_excerpt":"AI-based protein structure prediction pipelines, such as AlphaFold2, have achieved near-experimental accuracy. These advanced pipelines mainly rely on Multiple Sequence Alignments (MSAs) as inputs to learn the co-evolution information from the homologous sequences. Nonetheless, searching MSAs from protein databases is time-consuming, usually taking dozens of minutes. Consequently, we attempt to explore the limits of fast protein structure prediction by using only primary sequences of proteins. HelixFold-Single is proposed to combine a large-scale protein language model with the superior geomet"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.13921","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2207.13921/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:01:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IqoSg3rYImkY1bjQVRemEhI9ypPOBIv4Tj8wCLpc0TS/HpUITIz3t6ZjwAsZXAG87iMVE/UIgIUtOaZWJIq6CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:32:56.915084Z"},"content_sha256":"2d6db5da16982cf38714e71ce415988e8b3826e1fbd6802310b3284c6be2141d","schema_version":"1.0","event_id":"sha256:2d6db5da16982cf38714e71ce415988e8b3826e1fbd6802310b3284c6be2141d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5KMJLPYSYFQBJZDMJNEUXDL3NS/bundle.json","state_url":"https://pith.science/pith/5KMJLPYSYFQBJZDMJNEUXDL3NS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5KMJLPYSYFQBJZDMJNEUXDL3NS/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-07T15:32:56Z","links":{"resolver":"https://pith.science/pith/5KMJLPYSYFQBJZDMJNEUXDL3NS","bundle":"https://pith.science/pith/5KMJLPYSYFQBJZDMJNEUXDL3NS/bundle.json","state":"https://pith.science/pith/5KMJLPYSYFQBJZDMJNEUXDL3NS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5KMJLPYSYFQBJZDMJNEUXDL3NS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:5KMJLPYSYFQBJZDMJNEUXDL3NS","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":"0973404fe8969a6cf03ec04319cdd5fbd24c5e3d773825c2df16bb99c8966435","cross_cats_sorted":["cs.AI","cs.LG","q-bio.QM"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.BM","submitted_at":"2022-07-28T07:30:33Z","title_canon_sha256":"e0536093ecae8a6c584fef340fbc2445e13fd2d50a95c5d7c30e4164c256b910"},"schema_version":"1.0","source":{"id":"2207.13921","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.13921","created_at":"2026-07-05T07:01:57Z"},{"alias_kind":"arxiv_version","alias_value":"2207.13921v3","created_at":"2026-07-05T07:01:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.13921","created_at":"2026-07-05T07:01:57Z"},{"alias_kind":"pith_short_12","alias_value":"5KMJLPYSYFQB","created_at":"2026-07-05T07:01:57Z"},{"alias_kind":"pith_short_16","alias_value":"5KMJLPYSYFQBJZDM","created_at":"2026-07-05T07:01:57Z"},{"alias_kind":"pith_short_8","alias_value":"5KMJLPYS","created_at":"2026-07-05T07:01:57Z"}],"graph_snapshots":[{"event_id":"sha256:2d6db5da16982cf38714e71ce415988e8b3826e1fbd6802310b3284c6be2141d","target":"graph","created_at":"2026-07-05T07:01:57Z","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/2207.13921/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"AI-based protein structure prediction pipelines, such as AlphaFold2, have achieved near-experimental accuracy. These advanced pipelines mainly rely on Multiple Sequence Alignments (MSAs) as inputs to learn the co-evolution information from the homologous sequences. Nonetheless, searching MSAs from protein databases is time-consuming, usually taking dozens of minutes. Consequently, we attempt to explore the limits of fast protein structure prediction by using only primary sequences of proteins. HelixFold-Single is proposed to combine a large-scale protein language model with the superior geomet","authors_text":"Dayong Lin, Fan Wang, Hua Wu, Hui Li, Jingzhou He, Le Song, Lihang Liu, Xiaomin Fang, Xiaonan Zhang, Yingfei Xiang","cross_cats":["cs.AI","cs.LG","q-bio.QM"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.BM","submitted_at":"2022-07-28T07:30:33Z","title":"HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein Language Model as an Alternative"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.13921","kind":"arxiv","version":3},"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":"sha256:2a0b245cae2a9ccd4331c3ed86d9d1cc1941924ef3aa00077cf08203df9cfe63","target":"record","created_at":"2026-07-05T07:01:57Z","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":"0973404fe8969a6cf03ec04319cdd5fbd24c5e3d773825c2df16bb99c8966435","cross_cats_sorted":["cs.AI","cs.LG","q-bio.QM"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.BM","submitted_at":"2022-07-28T07:30:33Z","title_canon_sha256":"e0536093ecae8a6c584fef340fbc2445e13fd2d50a95c5d7c30e4164c256b910"},"schema_version":"1.0","source":{"id":"2207.13921","kind":"arxiv","version":3}},"canonical_sha256":"ea9895bf12c16014e46c4b494b8d7b6c8e6ca0580d1a9d247a87d3919daa4768","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ea9895bf12c16014e46c4b494b8d7b6c8e6ca0580d1a9d247a87d3919daa4768","first_computed_at":"2026-07-05T07:01:57.086668Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:01:57.086668Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"j2mRQt+W6WQkzk494TX9Cmf2OXjqzqUyL4w9YM4lxSnMZAMpAIJN8wViGM4NgWaGKXh6Y2QLkpjeNrBzi+i2CA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:01:57.087225Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.13921","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a0b245cae2a9ccd4331c3ed86d9d1cc1941924ef3aa00077cf08203df9cfe63","sha256:2d6db5da16982cf38714e71ce415988e8b3826e1fbd6802310b3284c6be2141d"],"state_sha256":"4577118b8159a0062d700b3d7c7b6d0e6a9c6f1ff6d094edca1f7ab7a4469c2e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AGpVMn6PWhsHRpfXRbqJKWEiyjk7gWp5kA6G9owIwoaS/8XzIcu9LznbBurgVEM77AFi654pyD05R3xpM+LLCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T15:32:56.917369Z","bundle_sha256":"d06d7146eefaf962419a8d19521074c44c4c1eb1721db4235754526d7fc22a7a"}}