{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:CLLQ7JOJCII5GMSUQP4SUVWK3U","short_pith_number":"pith:CLLQ7JOJ","schema_version":"1.0","canonical_sha256":"12d70fa5c91211d3325483f92a56cadd3f4eeee2f7c83c34a3177c612324dfc5","source":{"kind":"arxiv","id":"1412.5627","version":1},"attestation_state":"computed","paper":{"title":"Feature extraction from complex networks: A case of study in genomic sequences classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","q-bio.QM"],"primary_cat":"cs.CE","authors_text":"Andr\\'e Yoshiaki Kashiwabara, Bruno Mendes Moro Conque, Fabr\\'icio Martins Lopes","submitted_at":"2014-12-17T21:31:51Z","abstract_excerpt":"This work presents a new approach for classification of genomic sequences from measurements of complex networks and information theory. For this, it is considered the nucleotides, dinucleotides and trinucleotides of a genomic sequence. For each of them, the entropy, sum entropy and maximum entropy values are calculated.For each of them is also generated a network, in which the nodes are the nucleotides, dinucleotides or trinucleotides and its edges are estimated by observing the respective adjacency among them in the genomic sequence. In this way, it is generated three networks, for which meas"},"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":"1412.5627","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2014-12-17T21:31:51Z","cross_cats_sorted":["cs.LG","q-bio.QM"],"title_canon_sha256":"fb78fb74d228611ae6cf093d3cdf9b76eeb60e897fc8f89759fbe62564bb669d","abstract_canon_sha256":"4542f6d2826a6e565ad6ea5a51b01ef4eb4b197bd345f59f74f349f108fb9781"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:31:01.786643Z","signature_b64":"ZLT6NnZ9r3rNkJ9k7i84boPVK3Qzn7riI+kdG+R5w7V+rnQPWsBuCccljaKbePDxH8mDiW8icG8izdsBFOfhCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"12d70fa5c91211d3325483f92a56cadd3f4eeee2f7c83c34a3177c612324dfc5","last_reissued_at":"2026-05-18T02:31:01.786125Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:31:01.786125Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Feature extraction from complex networks: A case of study in genomic sequences classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","q-bio.QM"],"primary_cat":"cs.CE","authors_text":"Andr\\'e Yoshiaki Kashiwabara, Bruno Mendes Moro Conque, Fabr\\'icio Martins Lopes","submitted_at":"2014-12-17T21:31:51Z","abstract_excerpt":"This work presents a new approach for classification of genomic sequences from measurements of complex networks and information theory. For this, it is considered the nucleotides, dinucleotides and trinucleotides of a genomic sequence. For each of them, the entropy, sum entropy and maximum entropy values are calculated.For each of them is also generated a network, in which the nodes are the nucleotides, dinucleotides or trinucleotides and its edges are estimated by observing the respective adjacency among them in the genomic sequence. In this way, it is generated three networks, for which meas"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.5627","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":"1412.5627","created_at":"2026-05-18T02:31:01.786201+00:00"},{"alias_kind":"arxiv_version","alias_value":"1412.5627v1","created_at":"2026-05-18T02:31:01.786201+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.5627","created_at":"2026-05-18T02:31:01.786201+00:00"},{"alias_kind":"pith_short_12","alias_value":"CLLQ7JOJCII5","created_at":"2026-05-18T12:28:22.404517+00:00"},{"alias_kind":"pith_short_16","alias_value":"CLLQ7JOJCII5GMSU","created_at":"2026-05-18T12:28:22.404517+00:00"},{"alias_kind":"pith_short_8","alias_value":"CLLQ7JOJ","created_at":"2026-05-18T12:28:22.404517+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/CLLQ7JOJCII5GMSUQP4SUVWK3U","json":"https://pith.science/pith/CLLQ7JOJCII5GMSUQP4SUVWK3U.json","graph_json":"https://pith.science/api/pith-number/CLLQ7JOJCII5GMSUQP4SUVWK3U/graph.json","events_json":"https://pith.science/api/pith-number/CLLQ7JOJCII5GMSUQP4SUVWK3U/events.json","paper":"https://pith.science/paper/CLLQ7JOJ"},"agent_actions":{"view_html":"https://pith.science/pith/CLLQ7JOJCII5GMSUQP4SUVWK3U","download_json":"https://pith.science/pith/CLLQ7JOJCII5GMSUQP4SUVWK3U.json","view_paper":"https://pith.science/paper/CLLQ7JOJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1412.5627&json=true","fetch_graph":"https://pith.science/api/pith-number/CLLQ7JOJCII5GMSUQP4SUVWK3U/graph.json","fetch_events":"https://pith.science/api/pith-number/CLLQ7JOJCII5GMSUQP4SUVWK3U/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CLLQ7JOJCII5GMSUQP4SUVWK3U/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CLLQ7JOJCII5GMSUQP4SUVWK3U/action/storage_attestation","attest_author":"https://pith.science/pith/CLLQ7JOJCII5GMSUQP4SUVWK3U/action/author_attestation","sign_citation":"https://pith.science/pith/CLLQ7JOJCII5GMSUQP4SUVWK3U/action/citation_signature","submit_replication":"https://pith.science/pith/CLLQ7JOJCII5GMSUQP4SUVWK3U/action/replication_record"}},"created_at":"2026-05-18T02:31:01.786201+00:00","updated_at":"2026-05-18T02:31:01.786201+00:00"}