{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:NIQFYT4SAHCO6H2QCZPSVEJL2H","short_pith_number":"pith:NIQFYT4S","canonical_record":{"source":{"id":"1409.8602","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PF","submitted_at":"2014-09-30T15:41:41Z","cross_cats_sorted":[],"title_canon_sha256":"6bae2e77089a0bb14d14c73bdec6ce8ed756091d2851472a9ff860eb087109b2","abstract_canon_sha256":"d1e1f3b9ecf79821594ddb16f8f444278eb42c9575f7bee5604b2c4d7b447c2e"},"schema_version":"1.0"},"canonical_sha256":"6a205c4f9201c4ef1f50165f2a912bd1d59e8d33f157d4784fe59cbe1cc45e9c","source":{"kind":"arxiv","id":"1409.8602","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1409.8602","created_at":"2026-05-18T02:41:24Z"},{"alias_kind":"arxiv_version","alias_value":"1409.8602v1","created_at":"2026-05-18T02:41:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1409.8602","created_at":"2026-05-18T02:41:24Z"},{"alias_kind":"pith_short_12","alias_value":"NIQFYT4SAHCO","created_at":"2026-05-18T12:28:41Z"},{"alias_kind":"pith_short_16","alias_value":"NIQFYT4SAHCO6H2Q","created_at":"2026-05-18T12:28:41Z"},{"alias_kind":"pith_short_8","alias_value":"NIQFYT4S","created_at":"2026-05-18T12:28:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:NIQFYT4SAHCO6H2QCZPSVEJL2H","target":"record","payload":{"canonical_record":{"source":{"id":"1409.8602","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PF","submitted_at":"2014-09-30T15:41:41Z","cross_cats_sorted":[],"title_canon_sha256":"6bae2e77089a0bb14d14c73bdec6ce8ed756091d2851472a9ff860eb087109b2","abstract_canon_sha256":"d1e1f3b9ecf79821594ddb16f8f444278eb42c9575f7bee5604b2c4d7b447c2e"},"schema_version":"1.0"},"canonical_sha256":"6a205c4f9201c4ef1f50165f2a912bd1d59e8d33f157d4784fe59cbe1cc45e9c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:41:24.126399Z","signature_b64":"mNHSD15Pk0+nr/qQ0dsOajFCgi6B9BogYDuvrKR931jMtrGsQjjUqoMhHIT2tYr+JvFFHjdeU3fYyUW9RUHNCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6a205c4f9201c4ef1f50165f2a912bd1d59e8d33f157d4784fe59cbe1cc45e9c","last_reissued_at":"2026-05-18T02:41:24.125722Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:41:24.125722Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1409.8602","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:41:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7V9P+4rJxfON/rQZfHjOkuX6rpfwDIEnIJ18EncQPyn4zuvvu8WGth9MehgXVbGF+NVPs7B6xOZWYnKqUwDWBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T11:52:21.852566Z"},"content_sha256":"b5aab7be55efe5370ba69fd3203e35591b1e72f91fd2c8276a986f0c613a6bcf","schema_version":"1.0","event_id":"sha256:b5aab7be55efe5370ba69fd3203e35591b1e72f91fd2c8276a986f0c613a6bcf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:NIQFYT4SAHCO6H2QCZPSVEJL2H","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Cache-aware Performance Modeling and Prediction for Dense Linear Algebra","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.PF","authors_text":"Elmar Peise (1), Paolo Bientinesi (1) ((1) AICES, RWTH Aachen)","submitted_at":"2014-09-30T15:41:41Z","abstract_excerpt":"Countless applications cast their computational core in terms of dense linear algebra operations. These operations can usually be implemented by combining the routines offered by standard linear algebra libraries such as BLAS and LAPACK, and typically each operation can be obtained in many alternative ways. Interestingly, identifying the fastest implementation -- without executing it -- is a challenging task even for experts. An equally challenging task is that of tuning each routine to performance-optimal configurations. Indeed, the problem is so difficult that even the default values provide"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1409.8602","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:41:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n7/OIuUYos/2pE07upt2z280ucYqol92JrAdQ6rINsTtYRys3rHvbvouG1v5+NaRP56uOx2fJJpFFjN++W4yDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T11:52:21.852909Z"},"content_sha256":"bbdfebe2315f96de47008bf0ca2b9880f5dfd0b5236aee094e32668f179d4175","schema_version":"1.0","event_id":"sha256:bbdfebe2315f96de47008bf0ca2b9880f5dfd0b5236aee094e32668f179d4175"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NIQFYT4SAHCO6H2QCZPSVEJL2H/bundle.json","state_url":"https://pith.science/pith/NIQFYT4SAHCO6H2QCZPSVEJL2H/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NIQFYT4SAHCO6H2QCZPSVEJL2H/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-25T11:52:21Z","links":{"resolver":"https://pith.science/pith/NIQFYT4SAHCO6H2QCZPSVEJL2H","bundle":"https://pith.science/pith/NIQFYT4SAHCO6H2QCZPSVEJL2H/bundle.json","state":"https://pith.science/pith/NIQFYT4SAHCO6H2QCZPSVEJL2H/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NIQFYT4SAHCO6H2QCZPSVEJL2H/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:NIQFYT4SAHCO6H2QCZPSVEJL2H","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"d1e1f3b9ecf79821594ddb16f8f444278eb42c9575f7bee5604b2c4d7b447c2e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PF","submitted_at":"2014-09-30T15:41:41Z","title_canon_sha256":"6bae2e77089a0bb14d14c73bdec6ce8ed756091d2851472a9ff860eb087109b2"},"schema_version":"1.0","source":{"id":"1409.8602","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1409.8602","created_at":"2026-05-18T02:41:24Z"},{"alias_kind":"arxiv_version","alias_value":"1409.8602v1","created_at":"2026-05-18T02:41:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1409.8602","created_at":"2026-05-18T02:41:24Z"},{"alias_kind":"pith_short_12","alias_value":"NIQFYT4SAHCO","created_at":"2026-05-18T12:28:41Z"},{"alias_kind":"pith_short_16","alias_value":"NIQFYT4SAHCO6H2Q","created_at":"2026-05-18T12:28:41Z"},{"alias_kind":"pith_short_8","alias_value":"NIQFYT4S","created_at":"2026-05-18T12:28:41Z"}],"graph_snapshots":[{"event_id":"sha256:bbdfebe2315f96de47008bf0ca2b9880f5dfd0b5236aee094e32668f179d4175","target":"graph","created_at":"2026-05-18T02:41:24Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Countless applications cast their computational core in terms of dense linear algebra operations. These operations can usually be implemented by combining the routines offered by standard linear algebra libraries such as BLAS and LAPACK, and typically each operation can be obtained in many alternative ways. Interestingly, identifying the fastest implementation -- without executing it -- is a challenging task even for experts. An equally challenging task is that of tuning each routine to performance-optimal configurations. Indeed, the problem is so difficult that even the default values provide","authors_text":"Elmar Peise (1), Paolo Bientinesi (1) ((1) AICES, RWTH Aachen)","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PF","submitted_at":"2014-09-30T15:41:41Z","title":"Cache-aware Performance Modeling and Prediction for Dense Linear Algebra"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1409.8602","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b5aab7be55efe5370ba69fd3203e35591b1e72f91fd2c8276a986f0c613a6bcf","target":"record","created_at":"2026-05-18T02:41:24Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"d1e1f3b9ecf79821594ddb16f8f444278eb42c9575f7bee5604b2c4d7b447c2e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PF","submitted_at":"2014-09-30T15:41:41Z","title_canon_sha256":"6bae2e77089a0bb14d14c73bdec6ce8ed756091d2851472a9ff860eb087109b2"},"schema_version":"1.0","source":{"id":"1409.8602","kind":"arxiv","version":1}},"canonical_sha256":"6a205c4f9201c4ef1f50165f2a912bd1d59e8d33f157d4784fe59cbe1cc45e9c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6a205c4f9201c4ef1f50165f2a912bd1d59e8d33f157d4784fe59cbe1cc45e9c","first_computed_at":"2026-05-18T02:41:24.125722Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:41:24.125722Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mNHSD15Pk0+nr/qQ0dsOajFCgi6B9BogYDuvrKR931jMtrGsQjjUqoMhHIT2tYr+JvFFHjdeU3fYyUW9RUHNCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T02:41:24.126399Z","signed_message":"canonical_sha256_bytes"},"source_id":"1409.8602","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b5aab7be55efe5370ba69fd3203e35591b1e72f91fd2c8276a986f0c613a6bcf","sha256:bbdfebe2315f96de47008bf0ca2b9880f5dfd0b5236aee094e32668f179d4175"],"state_sha256":"55da039e8edaf303f63bdfa48858c4fb61c4d817c0422f815262e63a59fa9a9b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vyl1WZxCGoPNGDsj7mZqd43mS01VAfOZx1xvNJe7fkyBGCNtIqAD/Cery0vXFevfk243OuTwOcg586HekJWICg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-25T11:52:21.854906Z","bundle_sha256":"973e6484d642422fd2aade40924692f8f992ecdb16eb4b0a7e762a901ec5061d"}}