{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:NJQVBIFU3W2DOTX3LLBHX7IZTK","short_pith_number":"pith:NJQVBIFU","schema_version":"1.0","canonical_sha256":"6a6150a0b4ddb4374efb5ac27bfd199a90f4e2b8570104473afca00944bb324f","source":{"kind":"arxiv","id":"1404.3406","version":1},"attestation_state":"computed","paper":{"title":"Knowledge-Based Automatic Generation of Linear Algebra Algorithms and Code","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MS","authors_text":"Diego Fabregat-Traver","submitted_at":"2014-04-13T18:13:32Z","abstract_excerpt":"This dissertation focuses on the design and the implementation of domain-specific compilers for linear algebra matrix equations. The development of efficient libraries for such equations, which lie at the heart of most software for scientific computing, is a complex process that requires expertise in a variety of areas, including the application domain, algorithms, numerical analysis and high-performance computing. Moreover, the process involves the collaboration of several people for a considerable amount of time. With our compilers, we aim to relieve the developers from both designing algori"},"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":"1404.3406","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2014-04-13T18:13:32Z","cross_cats_sorted":[],"title_canon_sha256":"7267dbd6c6c62c70992d77aef45922520f1d1f98a72ca23f1d17cfa140d88d28","abstract_canon_sha256":"6e0dd6be116fe4bffb5a14aeaab5339a626220f77dd0d5a8c8592d55bda7756e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:54:15.259224Z","signature_b64":"r3U6/aTMdQ4muFvCSAPk9m8FxZ9F4oKfTu8DXO+yX9zT0pvEyp12UaZ91j9cT9jv7W2a38YikO+pX1Jt7iA6CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6a6150a0b4ddb4374efb5ac27bfd199a90f4e2b8570104473afca00944bb324f","last_reissued_at":"2026-05-18T02:54:15.258806Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:54:15.258806Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Knowledge-Based Automatic Generation of Linear Algebra Algorithms and Code","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MS","authors_text":"Diego Fabregat-Traver","submitted_at":"2014-04-13T18:13:32Z","abstract_excerpt":"This dissertation focuses on the design and the implementation of domain-specific compilers for linear algebra matrix equations. The development of efficient libraries for such equations, which lie at the heart of most software for scientific computing, is a complex process that requires expertise in a variety of areas, including the application domain, algorithms, numerical analysis and high-performance computing. Moreover, the process involves the collaboration of several people for a considerable amount of time. With our compilers, we aim to relieve the developers from both designing algori"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1404.3406","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":"1404.3406","created_at":"2026-05-18T02:54:15.258874+00:00"},{"alias_kind":"arxiv_version","alias_value":"1404.3406v1","created_at":"2026-05-18T02:54:15.258874+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1404.3406","created_at":"2026-05-18T02:54:15.258874+00:00"},{"alias_kind":"pith_short_12","alias_value":"NJQVBIFU3W2D","created_at":"2026-05-18T12:28:41.024544+00:00"},{"alias_kind":"pith_short_16","alias_value":"NJQVBIFU3W2DOTX3","created_at":"2026-05-18T12:28:41.024544+00:00"},{"alias_kind":"pith_short_8","alias_value":"NJQVBIFU","created_at":"2026-05-18T12:28:41.024544+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/NJQVBIFU3W2DOTX3LLBHX7IZTK","json":"https://pith.science/pith/NJQVBIFU3W2DOTX3LLBHX7IZTK.json","graph_json":"https://pith.science/api/pith-number/NJQVBIFU3W2DOTX3LLBHX7IZTK/graph.json","events_json":"https://pith.science/api/pith-number/NJQVBIFU3W2DOTX3LLBHX7IZTK/events.json","paper":"https://pith.science/paper/NJQVBIFU"},"agent_actions":{"view_html":"https://pith.science/pith/NJQVBIFU3W2DOTX3LLBHX7IZTK","download_json":"https://pith.science/pith/NJQVBIFU3W2DOTX3LLBHX7IZTK.json","view_paper":"https://pith.science/paper/NJQVBIFU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1404.3406&json=true","fetch_graph":"https://pith.science/api/pith-number/NJQVBIFU3W2DOTX3LLBHX7IZTK/graph.json","fetch_events":"https://pith.science/api/pith-number/NJQVBIFU3W2DOTX3LLBHX7IZTK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NJQVBIFU3W2DOTX3LLBHX7IZTK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NJQVBIFU3W2DOTX3LLBHX7IZTK/action/storage_attestation","attest_author":"https://pith.science/pith/NJQVBIFU3W2DOTX3LLBHX7IZTK/action/author_attestation","sign_citation":"https://pith.science/pith/NJQVBIFU3W2DOTX3LLBHX7IZTK/action/citation_signature","submit_replication":"https://pith.science/pith/NJQVBIFU3W2DOTX3LLBHX7IZTK/action/replication_record"}},"created_at":"2026-05-18T02:54:15.258874+00:00","updated_at":"2026-05-18T02:54:15.258874+00:00"}