{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2010:GGGIKYOSL6RIRIGH3LCI6H5WFB","short_pith_number":"pith:GGGIKYOS","schema_version":"1.0","canonical_sha256":"318c8561d25fa288a0c7dac48f1fb6287f01ae01ac0e7fa5021faaccf50d224b","source":{"kind":"arxiv","id":"1008.3358","version":1},"attestation_state":"computed","paper":{"title":"Sequence alignment, mutual information, and dissimilarity measures for constructing phylogenies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.GN","authors_text":"Maya Paczuski, Orion Penner, Peter Grassberger","submitted_at":"2010-08-19T17:26:27Z","abstract_excerpt":"Existing sequence alignment algorithms use heuristic scoring schemes which cannot be used as objective distance metrics. Therefore one relies on measures like the p- or log-det distances, or makes explicit, and often simplistic, assumptions about sequence evolution. Information theory provides an alternative, in the form of mutual information (MI) which is, in principle, an objective and model independent similarity measure. MI can be estimated by concatenating and zipping sequences, yielding thereby the \"normalized compression distance\". So far this has produced promising results, but with un"},"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":"1008.3358","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.GN","submitted_at":"2010-08-19T17:26:27Z","cross_cats_sorted":[],"title_canon_sha256":"41146ca09c5544168523c4bd596412b4acecb14619bb3c12668a276111e6b1c2","abstract_canon_sha256":"41ca71a714544882a518265c0ad88a5e69e5bc73104bfb4c3d1d8d086b5469d2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:05:46.568749Z","signature_b64":"7PgmVDwqsArrfi8cWmYB6qKeIXtrqn6V4wdGSPHMs7DUemiT4xzrbUvEnyIMP9hpdfVbInicU/9kQ7LpYcUfAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"318c8561d25fa288a0c7dac48f1fb6287f01ae01ac0e7fa5021faaccf50d224b","last_reissued_at":"2026-05-18T02:05:46.568051Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:05:46.568051Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Sequence alignment, mutual information, and dissimilarity measures for constructing phylogenies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.GN","authors_text":"Maya Paczuski, Orion Penner, Peter Grassberger","submitted_at":"2010-08-19T17:26:27Z","abstract_excerpt":"Existing sequence alignment algorithms use heuristic scoring schemes which cannot be used as objective distance metrics. Therefore one relies on measures like the p- or log-det distances, or makes explicit, and often simplistic, assumptions about sequence evolution. Information theory provides an alternative, in the form of mutual information (MI) which is, in principle, an objective and model independent similarity measure. MI can be estimated by concatenating and zipping sequences, yielding thereby the \"normalized compression distance\". So far this has produced promising results, but with un"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1008.3358","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":"1008.3358","created_at":"2026-05-18T02:05:46.568165+00:00"},{"alias_kind":"arxiv_version","alias_value":"1008.3358v1","created_at":"2026-05-18T02:05:46.568165+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1008.3358","created_at":"2026-05-18T02:05:46.568165+00:00"},{"alias_kind":"pith_short_12","alias_value":"GGGIKYOSL6RI","created_at":"2026-05-18T12:26:07.630475+00:00"},{"alias_kind":"pith_short_16","alias_value":"GGGIKYOSL6RIRIGH","created_at":"2026-05-18T12:26:07.630475+00:00"},{"alias_kind":"pith_short_8","alias_value":"GGGIKYOS","created_at":"2026-05-18T12:26:07.630475+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/GGGIKYOSL6RIRIGH3LCI6H5WFB","json":"https://pith.science/pith/GGGIKYOSL6RIRIGH3LCI6H5WFB.json","graph_json":"https://pith.science/api/pith-number/GGGIKYOSL6RIRIGH3LCI6H5WFB/graph.json","events_json":"https://pith.science/api/pith-number/GGGIKYOSL6RIRIGH3LCI6H5WFB/events.json","paper":"https://pith.science/paper/GGGIKYOS"},"agent_actions":{"view_html":"https://pith.science/pith/GGGIKYOSL6RIRIGH3LCI6H5WFB","download_json":"https://pith.science/pith/GGGIKYOSL6RIRIGH3LCI6H5WFB.json","view_paper":"https://pith.science/paper/GGGIKYOS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1008.3358&json=true","fetch_graph":"https://pith.science/api/pith-number/GGGIKYOSL6RIRIGH3LCI6H5WFB/graph.json","fetch_events":"https://pith.science/api/pith-number/GGGIKYOSL6RIRIGH3LCI6H5WFB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GGGIKYOSL6RIRIGH3LCI6H5WFB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GGGIKYOSL6RIRIGH3LCI6H5WFB/action/storage_attestation","attest_author":"https://pith.science/pith/GGGIKYOSL6RIRIGH3LCI6H5WFB/action/author_attestation","sign_citation":"https://pith.science/pith/GGGIKYOSL6RIRIGH3LCI6H5WFB/action/citation_signature","submit_replication":"https://pith.science/pith/GGGIKYOSL6RIRIGH3LCI6H5WFB/action/replication_record"}},"created_at":"2026-05-18T02:05:46.568165+00:00","updated_at":"2026-05-18T02:05:46.568165+00:00"}