{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:P3WZEEARMSBCRLUJ2VRRESDHUI","short_pith_number":"pith:P3WZEEAR","schema_version":"1.0","canonical_sha256":"7eed921011648228ae89d563124867a2329619fff838087326b9c831636f8ea6","source":{"kind":"arxiv","id":"1309.4589","version":1},"attestation_state":"computed","paper":{"title":"A Realistic Model under which the Genetic Code is Optimal","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.GN"],"primary_cat":"q-bio.PE","authors_text":"Christian Schaffner, Dave Speijer, Gunnar W. Klau, Harry Buhrman, Leen Stougie, Peter T. S. van der Gulik","submitted_at":"2013-09-18T09:17:20Z","abstract_excerpt":"The genetic code has a high level of error robustness. Using values of hydrophobicity scales as a proxy for amino acid character, and the Mean Square measure as a function quantifying error robustness, a value can be obtained for a genetic code which reflects the error robustness of that code. By comparing this value with a distribution of values belonging to codes generated by random permutations of amino acid assignments, the level of error robustness of a genetic code can be quantified. We present a calculation in which the standard genetic code is shown to be optimal. We obtain this result"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1309.4589","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.PE","submitted_at":"2013-09-18T09:17:20Z","cross_cats_sorted":["q-bio.GN"],"title_canon_sha256":"22040cc0e61df8b64add5ed17a6c8e345346f9b33e29d9b76098291bf1f0a4b1","abstract_canon_sha256":"b5c38b041d922b8eb6871fcc23c9a46f55bf5ea7f544f012b3b85a4a83e606b2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:12:58.924247Z","signature_b64":"RpAyjjwCCZeu3aDUsjYtrm+/0VoYd8uCMmclzbeQeLv085vF1vGprPe+pVLeflqggOje+FniTTC1GGvaGKKBBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7eed921011648228ae89d563124867a2329619fff838087326b9c831636f8ea6","last_reissued_at":"2026-05-18T03:12:58.923683Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:12:58.923683Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Realistic Model under which the Genetic Code is Optimal","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.GN"],"primary_cat":"q-bio.PE","authors_text":"Christian Schaffner, Dave Speijer, Gunnar W. Klau, Harry Buhrman, Leen Stougie, Peter T. S. van der Gulik","submitted_at":"2013-09-18T09:17:20Z","abstract_excerpt":"The genetic code has a high level of error robustness. Using values of hydrophobicity scales as a proxy for amino acid character, and the Mean Square measure as a function quantifying error robustness, a value can be obtained for a genetic code which reflects the error robustness of that code. By comparing this value with a distribution of values belonging to codes generated by random permutations of amino acid assignments, the level of error robustness of a genetic code can be quantified. We present a calculation in which the standard genetic code is shown to be optimal. We obtain this result"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1309.4589","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":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1309.4589","created_at":"2026-05-18T03:12:58.923767+00:00"},{"alias_kind":"arxiv_version","alias_value":"1309.4589v1","created_at":"2026-05-18T03:12:58.923767+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1309.4589","created_at":"2026-05-18T03:12:58.923767+00:00"},{"alias_kind":"pith_short_12","alias_value":"P3WZEEARMSBC","created_at":"2026-05-18T12:27:54.935989+00:00"},{"alias_kind":"pith_short_16","alias_value":"P3WZEEARMSBCRLUJ","created_at":"2026-05-18T12:27:54.935989+00:00"},{"alias_kind":"pith_short_8","alias_value":"P3WZEEAR","created_at":"2026-05-18T12:27:54.935989+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/P3WZEEARMSBCRLUJ2VRRESDHUI","json":"https://pith.science/pith/P3WZEEARMSBCRLUJ2VRRESDHUI.json","graph_json":"https://pith.science/api/pith-number/P3WZEEARMSBCRLUJ2VRRESDHUI/graph.json","events_json":"https://pith.science/api/pith-number/P3WZEEARMSBCRLUJ2VRRESDHUI/events.json","paper":"https://pith.science/paper/P3WZEEAR"},"agent_actions":{"view_html":"https://pith.science/pith/P3WZEEARMSBCRLUJ2VRRESDHUI","download_json":"https://pith.science/pith/P3WZEEARMSBCRLUJ2VRRESDHUI.json","view_paper":"https://pith.science/paper/P3WZEEAR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1309.4589&json=true","fetch_graph":"https://pith.science/api/pith-number/P3WZEEARMSBCRLUJ2VRRESDHUI/graph.json","fetch_events":"https://pith.science/api/pith-number/P3WZEEARMSBCRLUJ2VRRESDHUI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/P3WZEEARMSBCRLUJ2VRRESDHUI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/P3WZEEARMSBCRLUJ2VRRESDHUI/action/storage_attestation","attest_author":"https://pith.science/pith/P3WZEEARMSBCRLUJ2VRRESDHUI/action/author_attestation","sign_citation":"https://pith.science/pith/P3WZEEARMSBCRLUJ2VRRESDHUI/action/citation_signature","submit_replication":"https://pith.science/pith/P3WZEEARMSBCRLUJ2VRRESDHUI/action/replication_record"}},"created_at":"2026-05-18T03:12:58.923767+00:00","updated_at":"2026-05-18T03:12:58.923767+00:00"}