{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:6CNBE57PTFH6HDJC3NDRNAP5IA","short_pith_number":"pith:6CNBE57P","schema_version":"1.0","canonical_sha256":"f09a1277ef994fe38d22db471681fd401fc0071bbc81c4194c7d5b73d431ea41","source":{"kind":"arxiv","id":"1307.7811","version":1},"attestation_state":"computed","paper":{"title":"A Novel Combinatorial Method for Estimating Transcript Expression with RNA-Seq: Bounding the Number of Paths","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CE","cs.DS"],"primary_cat":"q-bio.QM","authors_text":"Alexandru I. Tomescu, Anna Kuosmanen, Romeo Rizzi, Veli M\\\"akinen","submitted_at":"2013-07-30T04:42:47Z","abstract_excerpt":"RNA-Seq technology offers new high-throughput ways for transcript identification and quantification based on short reads, and has recently attracted great interest. The problem is usually modeled by a weighted splicing graph whose nodes stand for exons and whose edges stand for split alignments to the exons. The task consists of finding a number of paths, together with their expression levels, which optimally explain the coverages of the graph under various fitness functions, such least sum of squares. In (Tomescu et al. RECOMB-seq 2013) we showed that under general fitness functions, if we al"},"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":"1307.7811","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2013-07-30T04:42:47Z","cross_cats_sorted":["cs.CE","cs.DS"],"title_canon_sha256":"179d56d127409d49e545abb2642a58a0a76661fa7b362cabf14cb1d6385c2676","abstract_canon_sha256":"b21446ba7d8b0161cde32f33173188da3e1dbce22544e853762566563bff3545"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:17:02.495358Z","signature_b64":"MAvk5E/A+hZENkKvUzKsUHzzMV6uFfRiQcBKYm0PTI2O8nvwY0IabH/wdE0Ucx57ngQ6SD5Zs4D5IyhKNzfYCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f09a1277ef994fe38d22db471681fd401fc0071bbc81c4194c7d5b73d431ea41","last_reissued_at":"2026-05-18T03:17:02.494297Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:17:02.494297Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Novel Combinatorial Method for Estimating Transcript Expression with RNA-Seq: Bounding the Number of Paths","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CE","cs.DS"],"primary_cat":"q-bio.QM","authors_text":"Alexandru I. Tomescu, Anna Kuosmanen, Romeo Rizzi, Veli M\\\"akinen","submitted_at":"2013-07-30T04:42:47Z","abstract_excerpt":"RNA-Seq technology offers new high-throughput ways for transcript identification and quantification based on short reads, and has recently attracted great interest. The problem is usually modeled by a weighted splicing graph whose nodes stand for exons and whose edges stand for split alignments to the exons. The task consists of finding a number of paths, together with their expression levels, which optimally explain the coverages of the graph under various fitness functions, such least sum of squares. In (Tomescu et al. RECOMB-seq 2013) we showed that under general fitness functions, if we al"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1307.7811","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":"1307.7811","created_at":"2026-05-18T03:17:02.494458+00:00"},{"alias_kind":"arxiv_version","alias_value":"1307.7811v1","created_at":"2026-05-18T03:17:02.494458+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1307.7811","created_at":"2026-05-18T03:17:02.494458+00:00"},{"alias_kind":"pith_short_12","alias_value":"6CNBE57PTFH6","created_at":"2026-05-18T12:27:36.564083+00:00"},{"alias_kind":"pith_short_16","alias_value":"6CNBE57PTFH6HDJC","created_at":"2026-05-18T12:27:36.564083+00:00"},{"alias_kind":"pith_short_8","alias_value":"6CNBE57P","created_at":"2026-05-18T12:27:36.564083+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/6CNBE57PTFH6HDJC3NDRNAP5IA","json":"https://pith.science/pith/6CNBE57PTFH6HDJC3NDRNAP5IA.json","graph_json":"https://pith.science/api/pith-number/6CNBE57PTFH6HDJC3NDRNAP5IA/graph.json","events_json":"https://pith.science/api/pith-number/6CNBE57PTFH6HDJC3NDRNAP5IA/events.json","paper":"https://pith.science/paper/6CNBE57P"},"agent_actions":{"view_html":"https://pith.science/pith/6CNBE57PTFH6HDJC3NDRNAP5IA","download_json":"https://pith.science/pith/6CNBE57PTFH6HDJC3NDRNAP5IA.json","view_paper":"https://pith.science/paper/6CNBE57P","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1307.7811&json=true","fetch_graph":"https://pith.science/api/pith-number/6CNBE57PTFH6HDJC3NDRNAP5IA/graph.json","fetch_events":"https://pith.science/api/pith-number/6CNBE57PTFH6HDJC3NDRNAP5IA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6CNBE57PTFH6HDJC3NDRNAP5IA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6CNBE57PTFH6HDJC3NDRNAP5IA/action/storage_attestation","attest_author":"https://pith.science/pith/6CNBE57PTFH6HDJC3NDRNAP5IA/action/author_attestation","sign_citation":"https://pith.science/pith/6CNBE57PTFH6HDJC3NDRNAP5IA/action/citation_signature","submit_replication":"https://pith.science/pith/6CNBE57PTFH6HDJC3NDRNAP5IA/action/replication_record"}},"created_at":"2026-05-18T03:17:02.494458+00:00","updated_at":"2026-05-18T03:17:02.494458+00:00"}