{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:LC32MZE3I22TWRETZ2M5XVVMRO","short_pith_number":"pith:LC32MZE3","schema_version":"1.0","canonical_sha256":"58b7a6649b46b53b4493ce99dbd6ac8b984ca1005592323f4d73ff81fb469a77","source":{"kind":"arxiv","id":"1210.7683","version":1},"attestation_state":"computed","paper":{"title":"Computing Petaflops over Terabytes of Data: The Case of Genome-Wide Association Studies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CE","cs.PF","q-bio.GN","q-bio.QM"],"primary_cat":"cs.MS","authors_text":"((1) AICES, Diego Fabregat-Traver (1), Paolo Bientinesi (1), RWTH Aachen)","submitted_at":"2012-10-29T14:58:03Z","abstract_excerpt":"In many scientific and engineering applications, one has to solve not one but a sequence of instances of the same problem. Often times, the problems in the sequence are linked in a way that allows intermediate results to be reused. A characteristic example for this class of applications is given by the Genome-Wide Association Studies (GWAS), a widely spread tool in computational biology. GWAS entails the solution of up to trillions ($10^{12}$) of correlated generalized least-squares problems, posing a daunting challenge: the performance of petaflops ($10^{15}$ floating-point operations) over t"},"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":"1210.7683","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2012-10-29T14:58:03Z","cross_cats_sorted":["cs.CE","cs.PF","q-bio.GN","q-bio.QM"],"title_canon_sha256":"881b671e8985826cd00c847bfb094d38da73e690bca65acd506498ff29295d24","abstract_canon_sha256":"f4d4512423e19fec8752993795afa9ad39728c4a5fd629b0e99235404f47db5d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:26:52.697414Z","signature_b64":"tRzudS8PbcP7zZZ3OG9TxKIUKHzZ+ZU/etFtj7lCiHlTHBgXC/5QUdtu8csmmoo3hQ81TPHPBeq1NmY19ypfDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"58b7a6649b46b53b4493ce99dbd6ac8b984ca1005592323f4d73ff81fb469a77","last_reissued_at":"2026-05-18T03:26:52.696677Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:26:52.696677Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Computing Petaflops over Terabytes of Data: The Case of Genome-Wide Association Studies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CE","cs.PF","q-bio.GN","q-bio.QM"],"primary_cat":"cs.MS","authors_text":"((1) AICES, Diego Fabregat-Traver (1), Paolo Bientinesi (1), RWTH Aachen)","submitted_at":"2012-10-29T14:58:03Z","abstract_excerpt":"In many scientific and engineering applications, one has to solve not one but a sequence of instances of the same problem. Often times, the problems in the sequence are linked in a way that allows intermediate results to be reused. A characteristic example for this class of applications is given by the Genome-Wide Association Studies (GWAS), a widely spread tool in computational biology. GWAS entails the solution of up to trillions ($10^{12}$) of correlated generalized least-squares problems, posing a daunting challenge: the performance of petaflops ($10^{15}$ floating-point operations) over t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1210.7683","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":"1210.7683","created_at":"2026-05-18T03:26:52.696811+00:00"},{"alias_kind":"arxiv_version","alias_value":"1210.7683v1","created_at":"2026-05-18T03:26:52.696811+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1210.7683","created_at":"2026-05-18T03:26:52.696811+00:00"},{"alias_kind":"pith_short_12","alias_value":"LC32MZE3I22T","created_at":"2026-05-18T12:27:14.488303+00:00"},{"alias_kind":"pith_short_16","alias_value":"LC32MZE3I22TWRET","created_at":"2026-05-18T12:27:14.488303+00:00"},{"alias_kind":"pith_short_8","alias_value":"LC32MZE3","created_at":"2026-05-18T12:27:14.488303+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/LC32MZE3I22TWRETZ2M5XVVMRO","json":"https://pith.science/pith/LC32MZE3I22TWRETZ2M5XVVMRO.json","graph_json":"https://pith.science/api/pith-number/LC32MZE3I22TWRETZ2M5XVVMRO/graph.json","events_json":"https://pith.science/api/pith-number/LC32MZE3I22TWRETZ2M5XVVMRO/events.json","paper":"https://pith.science/paper/LC32MZE3"},"agent_actions":{"view_html":"https://pith.science/pith/LC32MZE3I22TWRETZ2M5XVVMRO","download_json":"https://pith.science/pith/LC32MZE3I22TWRETZ2M5XVVMRO.json","view_paper":"https://pith.science/paper/LC32MZE3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1210.7683&json=true","fetch_graph":"https://pith.science/api/pith-number/LC32MZE3I22TWRETZ2M5XVVMRO/graph.json","fetch_events":"https://pith.science/api/pith-number/LC32MZE3I22TWRETZ2M5XVVMRO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LC32MZE3I22TWRETZ2M5XVVMRO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LC32MZE3I22TWRETZ2M5XVVMRO/action/storage_attestation","attest_author":"https://pith.science/pith/LC32MZE3I22TWRETZ2M5XVVMRO/action/author_attestation","sign_citation":"https://pith.science/pith/LC32MZE3I22TWRETZ2M5XVVMRO/action/citation_signature","submit_replication":"https://pith.science/pith/LC32MZE3I22TWRETZ2M5XVVMRO/action/replication_record"}},"created_at":"2026-05-18T03:26:52.696811+00:00","updated_at":"2026-05-18T03:26:52.696811+00:00"}