{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:CNLQR77CTNUBMFXDDFOKMIACDK","short_pith_number":"pith:CNLQR77C","canonical_record":{"source":{"id":"2507.08920","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.BM","submitted_at":"2025-07-11T17:02:25Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"75c97c6a722ce2a766929b0c2406f33c914edc827bbabd3896308e319b1122bf","abstract_canon_sha256":"dc60d7359f8db99e227df035f5f8228f8f37ac0850625765cbff79f2ecb641ac"},"schema_version":"1.0"},"canonical_sha256":"135708ffe29b681616e3195ca620021ab2110af0a52756eb58ac9badcc04a354","source":{"kind":"arxiv","id":"2507.08920","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.08920","created_at":"2026-06-09T02:07:05Z"},{"alias_kind":"arxiv_version","alias_value":"2507.08920v4","created_at":"2026-06-09T02:07:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.08920","created_at":"2026-06-09T02:07:05Z"},{"alias_kind":"pith_short_12","alias_value":"CNLQR77CTNUB","created_at":"2026-06-09T02:07:05Z"},{"alias_kind":"pith_short_16","alias_value":"CNLQR77CTNUBMFXD","created_at":"2026-06-09T02:07:05Z"},{"alias_kind":"pith_short_8","alias_value":"CNLQR77C","created_at":"2026-06-09T02:07:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:CNLQR77CTNUBMFXDDFOKMIACDK","target":"record","payload":{"canonical_record":{"source":{"id":"2507.08920","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.BM","submitted_at":"2025-07-11T17:02:25Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"75c97c6a722ce2a766929b0c2406f33c914edc827bbabd3896308e319b1122bf","abstract_canon_sha256":"dc60d7359f8db99e227df035f5f8228f8f37ac0850625765cbff79f2ecb641ac"},"schema_version":"1.0"},"canonical_sha256":"135708ffe29b681616e3195ca620021ab2110af0a52756eb58ac9badcc04a354","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T02:07:05.474034Z","signature_b64":"PBqh3zPOy+G8S5QWwwTqSkPkhhKzmKsuY0/oHy0sziSZKVcKuEgs3aoxrkv0oLmikSy+vxANs/Bif569XZMQDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"135708ffe29b681616e3195ca620021ab2110af0a52756eb58ac9badcc04a354","last_reissued_at":"2026-06-09T02:07:05.472956Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T02:07:05.472956Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.08920","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-09T02:07:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NuENnWSF/x/0+cdegwvds2rq8uVyJX0tJFLorecpX+S0H6UnVUV2gkqz/+jCwb9DY9e1XY44iR/9u4IIERQfDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T19:12:33.478617Z"},"content_sha256":"491eef8a5581b89fee48d2c3750edd521f330a49719e7d1c6687471f3c632606","schema_version":"1.0","event_id":"sha256:491eef8a5581b89fee48d2c3750edd521f330a49719e7d1c6687471f3c632606"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:CNLQR77CTNUBMFXDDFOKMIACDK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"q-bio.BM","authors_text":"Bowen Zhou, Changze Lv, Chaochen Gao, Deyi Xiong, Dongyu Xue, Hao Wang, Hao Zhou, Jiakai Hu, Jiangtao Feng, Jiang Zhou, Jingjing Gong, Lei Bai, Lihao Wang, Shuyi Zhang, Siyu Long, Wanli Ouyang, Wei-Ying Ma, Xiaoqing Zheng, Ya-Qin Zhang, Yuchen Cai, Yu Pei, Yuxuan Song, Zherui Zhang, Zhiqiang Gao, Ziyuan Ma","submitted_at":"2025-07-11T17:02:25Z","abstract_excerpt":"We introduce AMix-1, a powerful protein foundation model built on Bayesian Flow Networks and empowered by a systematic training methodology, encompassing pretraining scaling laws, emergent capability analysis, in-context learning mechanism, and test-time scaling algorithm. To guarantee robust scalability, we establish a predictive scaling law and reveal the progressive emergence of structural understanding via loss perspective, culminating in a strong 1.7-billion model. Building on this foundation, we devise a multiple sequence alignment (MSA)-based in-context learning strategy to unify protei"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.08920","kind":"arxiv","version":4},"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/2507.08920/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":"2026-06-09T02:07:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MXe0kbjZdIiJf14K0RAQD1vXLbXtdanwx1yEvNEQqJRIy1SZINGtZR/Jpyrag3E9k0NZGWgc7mrIm94NAZtvDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T19:12:33.479335Z"},"content_sha256":"e31eeb79935941eedfc4c8e70779d12c221e6a7b204650abcc78d2dea888cdce","schema_version":"1.0","event_id":"sha256:e31eeb79935941eedfc4c8e70779d12c221e6a7b204650abcc78d2dea888cdce"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CNLQR77CTNUBMFXDDFOKMIACDK/bundle.json","state_url":"https://pith.science/pith/CNLQR77CTNUBMFXDDFOKMIACDK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CNLQR77CTNUBMFXDDFOKMIACDK/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":"2026-06-09T19:12:33Z","links":{"resolver":"https://pith.science/pith/CNLQR77CTNUBMFXDDFOKMIACDK","bundle":"https://pith.science/pith/CNLQR77CTNUBMFXDDFOKMIACDK/bundle.json","state":"https://pith.science/pith/CNLQR77CTNUBMFXDDFOKMIACDK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CNLQR77CTNUBMFXDDFOKMIACDK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CNLQR77CTNUBMFXDDFOKMIACDK","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":"dc60d7359f8db99e227df035f5f8228f8f37ac0850625765cbff79f2ecb641ac","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.BM","submitted_at":"2025-07-11T17:02:25Z","title_canon_sha256":"75c97c6a722ce2a766929b0c2406f33c914edc827bbabd3896308e319b1122bf"},"schema_version":"1.0","source":{"id":"2507.08920","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.08920","created_at":"2026-06-09T02:07:05Z"},{"alias_kind":"arxiv_version","alias_value":"2507.08920v4","created_at":"2026-06-09T02:07:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.08920","created_at":"2026-06-09T02:07:05Z"},{"alias_kind":"pith_short_12","alias_value":"CNLQR77CTNUB","created_at":"2026-06-09T02:07:05Z"},{"alias_kind":"pith_short_16","alias_value":"CNLQR77CTNUBMFXD","created_at":"2026-06-09T02:07:05Z"},{"alias_kind":"pith_short_8","alias_value":"CNLQR77C","created_at":"2026-06-09T02:07:05Z"}],"graph_snapshots":[{"event_id":"sha256:e31eeb79935941eedfc4c8e70779d12c221e6a7b204650abcc78d2dea888cdce","target":"graph","created_at":"2026-06-09T02:07:05Z","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/2507.08920/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce AMix-1, a powerful protein foundation model built on Bayesian Flow Networks and empowered by a systematic training methodology, encompassing pretraining scaling laws, emergent capability analysis, in-context learning mechanism, and test-time scaling algorithm. To guarantee robust scalability, we establish a predictive scaling law and reveal the progressive emergence of structural understanding via loss perspective, culminating in a strong 1.7-billion model. Building on this foundation, we devise a multiple sequence alignment (MSA)-based in-context learning strategy to unify protei","authors_text":"Bowen Zhou, Changze Lv, Chaochen Gao, Deyi Xiong, Dongyu Xue, Hao Wang, Hao Zhou, Jiakai Hu, Jiangtao Feng, Jiang Zhou, Jingjing Gong, Lei Bai, Lihao Wang, Shuyi Zhang, Siyu Long, Wanli Ouyang, Wei-Ying Ma, Xiaoqing Zheng, Ya-Qin Zhang, Yuchen Cai, Yu Pei, Yuxuan Song, Zherui Zhang, Zhiqiang Gao, Ziyuan Ma","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.BM","submitted_at":"2025-07-11T17:02:25Z","title":"AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.08920","kind":"arxiv","version":4},"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":"sha256:491eef8a5581b89fee48d2c3750edd521f330a49719e7d1c6687471f3c632606","target":"record","created_at":"2026-06-09T02:07:05Z","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":"dc60d7359f8db99e227df035f5f8228f8f37ac0850625765cbff79f2ecb641ac","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.BM","submitted_at":"2025-07-11T17:02:25Z","title_canon_sha256":"75c97c6a722ce2a766929b0c2406f33c914edc827bbabd3896308e319b1122bf"},"schema_version":"1.0","source":{"id":"2507.08920","kind":"arxiv","version":4}},"canonical_sha256":"135708ffe29b681616e3195ca620021ab2110af0a52756eb58ac9badcc04a354","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"135708ffe29b681616e3195ca620021ab2110af0a52756eb58ac9badcc04a354","first_computed_at":"2026-06-09T02:07:05.472956Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T02:07:05.472956Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PBqh3zPOy+G8S5QWwwTqSkPkhhKzmKsuY0/oHy0sziSZKVcKuEgs3aoxrkv0oLmikSy+vxANs/Bif569XZMQDA==","signature_status":"signed_v1","signed_at":"2026-06-09T02:07:05.474034Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.08920","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:491eef8a5581b89fee48d2c3750edd521f330a49719e7d1c6687471f3c632606","sha256:e31eeb79935941eedfc4c8e70779d12c221e6a7b204650abcc78d2dea888cdce"],"state_sha256":"d371badf894636fecfead0ac81b49da78156fd9db4e69b11bcf3f7ff3caeb30f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sBYI1yq1krqFkfKuN/Mm0jkNQcsvwSIop35ucivU2r0NpEzAiFCaueybwNQJkhPPZbgG85A5qaaV8o+sK5WkBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T19:12:33.483514Z","bundle_sha256":"f72e853d28534f6d0c5e1d48e350631c61ae8c83200111721fa064a6c87f0c23"}}