{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:PYO4KOIJE5MFC3AG6CNMFS3O6A","short_pith_number":"pith:PYO4KOIJ","canonical_record":{"source":{"id":"2407.00236","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-28T21:13:57Z","cross_cats_sorted":["cs.NE"],"title_canon_sha256":"d31477dfac528efabd53dd414b5a5bd0d61d096524f153f4fc2102016d5dd7e6","abstract_canon_sha256":"dd1ee607a235901ce2304596692961a920428c5b41357224e49829bf7a7db63a"},"schema_version":"1.0"},"canonical_sha256":"7e1dc539092758516c06f09ac2cb6ef03def2a9c1d7a6390930029b8603b0c83","source":{"kind":"arxiv","id":"2407.00236","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.00236","created_at":"2026-07-05T08:38:16Z"},{"alias_kind":"arxiv_version","alias_value":"2407.00236v1","created_at":"2026-07-05T08:38:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.00236","created_at":"2026-07-05T08:38:16Z"},{"alias_kind":"pith_short_12","alias_value":"PYO4KOIJE5MF","created_at":"2026-07-05T08:38:16Z"},{"alias_kind":"pith_short_16","alias_value":"PYO4KOIJE5MFC3AG","created_at":"2026-07-05T08:38:16Z"},{"alias_kind":"pith_short_8","alias_value":"PYO4KOIJ","created_at":"2026-07-05T08:38:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:PYO4KOIJE5MFC3AG6CNMFS3O6A","target":"record","payload":{"canonical_record":{"source":{"id":"2407.00236","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-28T21:13:57Z","cross_cats_sorted":["cs.NE"],"title_canon_sha256":"d31477dfac528efabd53dd414b5a5bd0d61d096524f153f4fc2102016d5dd7e6","abstract_canon_sha256":"dd1ee607a235901ce2304596692961a920428c5b41357224e49829bf7a7db63a"},"schema_version":"1.0"},"canonical_sha256":"7e1dc539092758516c06f09ac2cb6ef03def2a9c1d7a6390930029b8603b0c83","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:38:16.371202Z","signature_b64":"oC1GCQVUxHERLsZ5RrziYyJtNrANF1WZvtxgubWUzTE2wXG13ymt5xcihyLI1Hmb+WR3NuyAp8id7jztYRdrCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7e1dc539092758516c06f09ac2cb6ef03def2a9c1d7a6390930029b8603b0c83","last_reissued_at":"2026-07-05T08:38:16.370682Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:38:16.370682Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.00236","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:38:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tIL+DZADBrAmzxLKjK+Gz1J37+yfiLrUGWi16WzkJ4vTYMdMRayFuIh74XSSon9yeOgEVWn7yegKZOoM40heAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T02:26:33.396212Z"},"content_sha256":"d10b6a15f2f12d1a7a0d7cb2f78f8943d51b61c5ee6b6d4ef9d17ba519db103b","schema_version":"1.0","event_id":"sha256:d10b6a15f2f12d1a7a0d7cb2f78f8943d51b61c5ee6b6d4ef9d17ba519db103b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:PYO4KOIJE5MFC3AG6CNMFS3O6A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Closed-Form Test Functions for Biophysical Sequence Optimization Algorithms","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.NE"],"primary_cat":"cs.LG","authors_text":"Andrew Watkins, Kyunghyun Cho, Nathan Frey, Robert Alberstein, Samuel Stanton","submitted_at":"2024-06-28T21:13:57Z","abstract_excerpt":"There is a growing body of work seeking to replicate the success of machine learning (ML) on domains like computer vision (CV) and natural language processing (NLP) to applications involving biophysical data. One of the key ingredients of prior successes in CV and NLP was the broad acceptance of difficult benchmarks that distilled key subproblems into approachable tasks that any junior researcher could investigate, but good benchmarks for biophysical domains are rare. This scarcity is partially due to a narrow focus on benchmarks which simulate biophysical data; we propose instead to carefully"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.00236","kind":"arxiv","version":1},"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/2407.00236/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":"2026-07-05T08:38:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8fzO/F8wueRWEY7Gpra8Npd145PIqjrg2j753OGqfr0RlSgGjg3npLswgVUYgtkpcyEwQNmYDhViHdlIrvTTDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T02:26:33.396987Z"},"content_sha256":"d345cb8f486cef3602f874a734bbeff8618f03b9f6b575b96b9d1d98cd41db53","schema_version":"1.0","event_id":"sha256:d345cb8f486cef3602f874a734bbeff8618f03b9f6b575b96b9d1d98cd41db53"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PYO4KOIJE5MFC3AG6CNMFS3O6A/bundle.json","state_url":"https://pith.science/pith/PYO4KOIJE5MFC3AG6CNMFS3O6A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PYO4KOIJE5MFC3AG6CNMFS3O6A/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":"2026-08-18T02:26:33Z","links":{"resolver":"https://pith.science/pith/PYO4KOIJE5MFC3AG6CNMFS3O6A","bundle":"https://pith.science/pith/PYO4KOIJE5MFC3AG6CNMFS3O6A/bundle.json","state":"https://pith.science/pith/PYO4KOIJE5MFC3AG6CNMFS3O6A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PYO4KOIJE5MFC3AG6CNMFS3O6A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PYO4KOIJE5MFC3AG6CNMFS3O6A","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":"dd1ee607a235901ce2304596692961a920428c5b41357224e49829bf7a7db63a","cross_cats_sorted":["cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-28T21:13:57Z","title_canon_sha256":"d31477dfac528efabd53dd414b5a5bd0d61d096524f153f4fc2102016d5dd7e6"},"schema_version":"1.0","source":{"id":"2407.00236","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.00236","created_at":"2026-07-05T08:38:16Z"},{"alias_kind":"arxiv_version","alias_value":"2407.00236v1","created_at":"2026-07-05T08:38:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.00236","created_at":"2026-07-05T08:38:16Z"},{"alias_kind":"pith_short_12","alias_value":"PYO4KOIJE5MF","created_at":"2026-07-05T08:38:16Z"},{"alias_kind":"pith_short_16","alias_value":"PYO4KOIJE5MFC3AG","created_at":"2026-07-05T08:38:16Z"},{"alias_kind":"pith_short_8","alias_value":"PYO4KOIJ","created_at":"2026-07-05T08:38:16Z"}],"graph_snapshots":[{"event_id":"sha256:d345cb8f486cef3602f874a734bbeff8618f03b9f6b575b96b9d1d98cd41db53","target":"graph","created_at":"2026-07-05T08:38:16Z","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/2407.00236/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"There is a growing body of work seeking to replicate the success of machine learning (ML) on domains like computer vision (CV) and natural language processing (NLP) to applications involving biophysical data. One of the key ingredients of prior successes in CV and NLP was the broad acceptance of difficult benchmarks that distilled key subproblems into approachable tasks that any junior researcher could investigate, but good benchmarks for biophysical domains are rare. This scarcity is partially due to a narrow focus on benchmarks which simulate biophysical data; we propose instead to carefully","authors_text":"Andrew Watkins, Kyunghyun Cho, Nathan Frey, Robert Alberstein, Samuel Stanton","cross_cats":["cs.NE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-28T21:13:57Z","title":"Closed-Form Test Functions for Biophysical Sequence Optimization Algorithms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.00236","kind":"arxiv","version":1},"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:d10b6a15f2f12d1a7a0d7cb2f78f8943d51b61c5ee6b6d4ef9d17ba519db103b","target":"record","created_at":"2026-07-05T08:38:16Z","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":"dd1ee607a235901ce2304596692961a920428c5b41357224e49829bf7a7db63a","cross_cats_sorted":["cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-28T21:13:57Z","title_canon_sha256":"d31477dfac528efabd53dd414b5a5bd0d61d096524f153f4fc2102016d5dd7e6"},"schema_version":"1.0","source":{"id":"2407.00236","kind":"arxiv","version":1}},"canonical_sha256":"7e1dc539092758516c06f09ac2cb6ef03def2a9c1d7a6390930029b8603b0c83","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7e1dc539092758516c06f09ac2cb6ef03def2a9c1d7a6390930029b8603b0c83","first_computed_at":"2026-07-05T08:38:16.370682Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:38:16.370682Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oC1GCQVUxHERLsZ5RrziYyJtNrANF1WZvtxgubWUzTE2wXG13ymt5xcihyLI1Hmb+WR3NuyAp8id7jztYRdrCg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:38:16.371202Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.00236","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d10b6a15f2f12d1a7a0d7cb2f78f8943d51b61c5ee6b6d4ef9d17ba519db103b","sha256:d345cb8f486cef3602f874a734bbeff8618f03b9f6b575b96b9d1d98cd41db53"],"state_sha256":"0ffe7afc95a6ed94ce2d6d2365d41aa6d076a31d9828a340b4ec2176a0b345ed"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"70B3AW8U6mNUsLGiK2UMfaCoXhpOHiXPSRpGY4Ej9pP2LTrLN0NpOz7wSCQS5WryJAZtXdVOiw0qNyHcZk5EDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T02:26:33.402326Z","bundle_sha256":"445dd663929f7c54b0f9db3c53c28953e1ae3ec12906991f0d4bc7363da9a9fe"}}