{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:TNQZDGPAXQALOHE4WX57Z6SJPQ","short_pith_number":"pith:TNQZDGPA","canonical_record":{"source":{"id":"2010.03516","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2020-10-07T16:35:02Z","cross_cats_sorted":["cs.LG","q-bio.BM"],"title_canon_sha256":"7ae55efc1eb6fcac67f37b30136b3bd337c2489c7cccfd08ba0bed1c848b293e","abstract_canon_sha256":"71db8497a2006ccebedf242c36dbf2c83753f9192bc845523f3bf70a18cdd3d9"},"schema_version":"1.0"},"canonical_sha256":"9b619199e0bc00b71c9cb5fbfcfa497c0287abefc671df9d9e7515d2983f0190","source":{"kind":"arxiv","id":"2010.03516","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.03516","created_at":"2026-07-05T01:41:13Z"},{"alias_kind":"arxiv_version","alias_value":"2010.03516v1","created_at":"2026-07-05T01:41:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.03516","created_at":"2026-07-05T01:41:13Z"},{"alias_kind":"pith_short_12","alias_value":"TNQZDGPAXQAL","created_at":"2026-07-05T01:41:13Z"},{"alias_kind":"pith_short_16","alias_value":"TNQZDGPAXQALOHE4","created_at":"2026-07-05T01:41:13Z"},{"alias_kind":"pith_short_8","alias_value":"TNQZDGPA","created_at":"2026-07-05T01:41:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:TNQZDGPAXQALOHE4WX57Z6SJPQ","target":"record","payload":{"canonical_record":{"source":{"id":"2010.03516","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2020-10-07T16:35:02Z","cross_cats_sorted":["cs.LG","q-bio.BM"],"title_canon_sha256":"7ae55efc1eb6fcac67f37b30136b3bd337c2489c7cccfd08ba0bed1c848b293e","abstract_canon_sha256":"71db8497a2006ccebedf242c36dbf2c83753f9192bc845523f3bf70a18cdd3d9"},"schema_version":"1.0"},"canonical_sha256":"9b619199e0bc00b71c9cb5fbfcfa497c0287abefc671df9d9e7515d2983f0190","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:41:13.673847Z","signature_b64":"ZdtIytZcqvN0LpWI8gFzVApGcycqGnwSc/8rGYQ6M2uohRVGbt9/O7UnwBmBMU7SLhI9ub1OkLimzAw9jJHzBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9b619199e0bc00b71c9cb5fbfcfa497c0287abefc671df9d9e7515d2983f0190","last_reissued_at":"2026-07-05T01:41:13.673499Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:41:13.673499Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.03516","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":"2026-07-05T01:41:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wYIdU04WVxldwjhmFIkNd8W8skpy+em1NyFJ8TeqKrTrLUNCVL9mMAqJz62kPvTSJFo7pNUPP7XuaYIdMcDvAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T03:12:04.071519Z"},"content_sha256":"9ce0801492a83805c15882254c269d48a4dab8637ef10e59fa397899dbe1e038","schema_version":"1.0","event_id":"sha256:9ce0801492a83805c15882254c269d48a4dab8637ef10e59fa397899dbe1e038"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:TNQZDGPAXQALOHE4WX57Z6SJPQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Combination of digital signal processing and assembled predictive models facilitates the rational design of proteins","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","q-bio.BM"],"primary_cat":"cs.CE","authors_text":"\\'Alvaro Olivera-Nappa, David Medina-Ortiz, Jorge Torres-Almonacid, Juan A. Asenjo, Juan Amado-Hinojosa, Marcelo Navarrete, Sebastian Contreras","submitted_at":"2020-10-07T16:35:02Z","abstract_excerpt":"Predicting the effect of mutations in proteins is one of the most critical challenges in protein engineering; by knowing the effect a substitution of one (or several) residues in the protein's sequence has on its overall properties, could design a variant with a desirable function. New strategies and methodologies to create predictive models are continually being developed. However, those that claim to be general often do not reach adequate performance, and those that aim to a particular task improve their predictive performance at the cost of the method's generality. Moreover, these approache"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.03516","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/2010.03516/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":"2026-07-05T01:41:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3uldzfo3eCru9iLe4PwtJaH4Uu4Bx4peaPr6Vr0YzSr6VmVaXNQroN47Z/M7/wxZzJfo6Mr/uB663etJJIMRBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T03:12:04.072023Z"},"content_sha256":"6805c61a86df2e43dd876641bf950b0dcfb1e232db09dea163772133e9fefbaa","schema_version":"1.0","event_id":"sha256:6805c61a86df2e43dd876641bf950b0dcfb1e232db09dea163772133e9fefbaa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TNQZDGPAXQALOHE4WX57Z6SJPQ/bundle.json","state_url":"https://pith.science/pith/TNQZDGPAXQALOHE4WX57Z6SJPQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TNQZDGPAXQALOHE4WX57Z6SJPQ/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":"2026-08-22T03:12:04Z","links":{"resolver":"https://pith.science/pith/TNQZDGPAXQALOHE4WX57Z6SJPQ","bundle":"https://pith.science/pith/TNQZDGPAXQALOHE4WX57Z6SJPQ/bundle.json","state":"https://pith.science/pith/TNQZDGPAXQALOHE4WX57Z6SJPQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TNQZDGPAXQALOHE4WX57Z6SJPQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:TNQZDGPAXQALOHE4WX57Z6SJPQ","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":"71db8497a2006ccebedf242c36dbf2c83753f9192bc845523f3bf70a18cdd3d9","cross_cats_sorted":["cs.LG","q-bio.BM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2020-10-07T16:35:02Z","title_canon_sha256":"7ae55efc1eb6fcac67f37b30136b3bd337c2489c7cccfd08ba0bed1c848b293e"},"schema_version":"1.0","source":{"id":"2010.03516","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.03516","created_at":"2026-07-05T01:41:13Z"},{"alias_kind":"arxiv_version","alias_value":"2010.03516v1","created_at":"2026-07-05T01:41:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.03516","created_at":"2026-07-05T01:41:13Z"},{"alias_kind":"pith_short_12","alias_value":"TNQZDGPAXQAL","created_at":"2026-07-05T01:41:13Z"},{"alias_kind":"pith_short_16","alias_value":"TNQZDGPAXQALOHE4","created_at":"2026-07-05T01:41:13Z"},{"alias_kind":"pith_short_8","alias_value":"TNQZDGPA","created_at":"2026-07-05T01:41:13Z"}],"graph_snapshots":[{"event_id":"sha256:6805c61a86df2e43dd876641bf950b0dcfb1e232db09dea163772133e9fefbaa","target":"graph","created_at":"2026-07-05T01:41:13Z","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/2010.03516/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Predicting the effect of mutations in proteins is one of the most critical challenges in protein engineering; by knowing the effect a substitution of one (or several) residues in the protein's sequence has on its overall properties, could design a variant with a desirable function. New strategies and methodologies to create predictive models are continually being developed. However, those that claim to be general often do not reach adequate performance, and those that aim to a particular task improve their predictive performance at the cost of the method's generality. Moreover, these approache","authors_text":"\\'Alvaro Olivera-Nappa, David Medina-Ortiz, Jorge Torres-Almonacid, Juan A. Asenjo, Juan Amado-Hinojosa, Marcelo Navarrete, Sebastian Contreras","cross_cats":["cs.LG","q-bio.BM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2020-10-07T16:35:02Z","title":"Combination of digital signal processing and assembled predictive models facilitates the rational design of proteins"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.03516","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":"sha256:9ce0801492a83805c15882254c269d48a4dab8637ef10e59fa397899dbe1e038","target":"record","created_at":"2026-07-05T01:41:13Z","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":"71db8497a2006ccebedf242c36dbf2c83753f9192bc845523f3bf70a18cdd3d9","cross_cats_sorted":["cs.LG","q-bio.BM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2020-10-07T16:35:02Z","title_canon_sha256":"7ae55efc1eb6fcac67f37b30136b3bd337c2489c7cccfd08ba0bed1c848b293e"},"schema_version":"1.0","source":{"id":"2010.03516","kind":"arxiv","version":1}},"canonical_sha256":"9b619199e0bc00b71c9cb5fbfcfa497c0287abefc671df9d9e7515d2983f0190","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9b619199e0bc00b71c9cb5fbfcfa497c0287abefc671df9d9e7515d2983f0190","first_computed_at":"2026-07-05T01:41:13.673499Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:41:13.673499Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZdtIytZcqvN0LpWI8gFzVApGcycqGnwSc/8rGYQ6M2uohRVGbt9/O7UnwBmBMU7SLhI9ub1OkLimzAw9jJHzBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:41:13.673847Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.03516","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9ce0801492a83805c15882254c269d48a4dab8637ef10e59fa397899dbe1e038","sha256:6805c61a86df2e43dd876641bf950b0dcfb1e232db09dea163772133e9fefbaa"],"state_sha256":"290d51ccdafc97d035d395ffeb3e027fd9cdb80a9a9f86d27c02601640e83330"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ii1zFftcMVbHg/ubisjLFEYJtLRjmFPKsCuALojn8meN9nFsVn+IQGfsLcu74Ki5i/L/Udlh80dCGVi7uY3LDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T03:12:04.076719Z","bundle_sha256":"e59c3cc78e71a9bec336ab506969e4f87852e3a53475b12ea40aff23b5582221"}}