{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:ELI55R7QHJUQE6VZXEIQA6PXYW","short_pith_number":"pith:ELI55R7Q","canonical_record":{"source":{"id":"1403.6426","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.GN","submitted_at":"2014-03-25T17:21:55Z","cross_cats_sorted":["cs.CE","cs.MS"],"title_canon_sha256":"d07a86d3d152c5ff6d245d5c68747d45c1ce390b29112b3f0e6461da71c3150d","abstract_canon_sha256":"7da589adca38da9082d14cefaf11c248400f3f8f3f959927440f298c0672f0ad"},"schema_version":"1.0"},"canonical_sha256":"22d1dec7f03a69027ab9b9110079f7c5a833b1d21045af7964d62fce517301b4","source":{"kind":"arxiv","id":"1403.6426","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1403.6426","created_at":"2026-05-18T02:55:36Z"},{"alias_kind":"arxiv_version","alias_value":"1403.6426v1","created_at":"2026-05-18T02:55:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.6426","created_at":"2026-05-18T02:55:36Z"},{"alias_kind":"pith_short_12","alias_value":"ELI55R7QHJUQ","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_16","alias_value":"ELI55R7QHJUQE6VZ","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_8","alias_value":"ELI55R7Q","created_at":"2026-05-18T12:28:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:ELI55R7QHJUQE6VZXEIQA6PXYW","target":"record","payload":{"canonical_record":{"source":{"id":"1403.6426","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.GN","submitted_at":"2014-03-25T17:21:55Z","cross_cats_sorted":["cs.CE","cs.MS"],"title_canon_sha256":"d07a86d3d152c5ff6d245d5c68747d45c1ce390b29112b3f0e6461da71c3150d","abstract_canon_sha256":"7da589adca38da9082d14cefaf11c248400f3f8f3f959927440f298c0672f0ad"},"schema_version":"1.0"},"canonical_sha256":"22d1dec7f03a69027ab9b9110079f7c5a833b1d21045af7964d62fce517301b4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:55:36.931094Z","signature_b64":"xONSglLMFDCaKseGvL8incZIfX6+7GHP4ZLIGxLT87WekScu0MoWighDGYOfXp5diAzLmtho7+Lvvr1urvtzBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"22d1dec7f03a69027ab9b9110079f7c5a833b1d21045af7964d62fce517301b4","last_reissued_at":"2026-05-18T02:55:36.930489Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:55:36.930489Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1403.6426","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":"2026-05-18T02:55:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4vKhPJCMW/r5N0/QChXrukLSdIBsG1dSHUQjW+/BmbTvX9nQtMgclphAFqxLlPlXpFI2lbhBNRMP8cdom/xRCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T17:49:46.562811Z"},"content_sha256":"5688ad8b7cda5df45f9833b279a8440b22c63114a3edb0468fe508d95baa7c14","schema_version":"1.0","event_id":"sha256:5688ad8b7cda5df45f9833b279a8440b22c63114a3edb0468fe508d95baa7c14"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:ELI55R7QHJUQE6VZXEIQA6PXYW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"High Performance Solutions for Big-data GWAS","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CE","cs.MS"],"primary_cat":"q-bio.GN","authors_text":"Diego Fabregat-Traver (1), Elmar Peise (1), Paolo Bientinesi (1) ((1) AICES, RWTH Aachen)","submitted_at":"2014-03-25T17:21:55Z","abstract_excerpt":"In order to associate complex traits with genetic polymorphisms, genome-wide association studies process huge datasets involving tens of thousands of individuals genotyped for millions of polymorphisms. When handling these datasets, which exceed the main memory of contemporary computers, one faces two distinct challenges: 1) Millions of polymorphisms and thousands of phenotypes come at the cost of hundreds of gigabytes of data, which can only be kept in secondary storage; 2) the relatedness of the test population is represented by a relationship matrix, which, for large populations, can only f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.6426","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":"2026-05-18T02:55:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XNX2YzQT2JxvCHy3FJkiIN38mhiH4kaS5uQnq9FkAweuoJcCCKu7HsofB1F8OBXQgFDdeYL2b1acLa1QG7JLCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T17:49:46.563162Z"},"content_sha256":"0f2f80020baf92f7617cbb333553bab170b6f344415b7963ad7058d1b00f9a49","schema_version":"1.0","event_id":"sha256:0f2f80020baf92f7617cbb333553bab170b6f344415b7963ad7058d1b00f9a49"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ELI55R7QHJUQE6VZXEIQA6PXYW/bundle.json","state_url":"https://pith.science/pith/ELI55R7QHJUQE6VZXEIQA6PXYW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ELI55R7QHJUQE6VZXEIQA6PXYW/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":"2026-06-25T17:49:46Z","links":{"resolver":"https://pith.science/pith/ELI55R7QHJUQE6VZXEIQA6PXYW","bundle":"https://pith.science/pith/ELI55R7QHJUQE6VZXEIQA6PXYW/bundle.json","state":"https://pith.science/pith/ELI55R7QHJUQE6VZXEIQA6PXYW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ELI55R7QHJUQE6VZXEIQA6PXYW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:ELI55R7QHJUQE6VZXEIQA6PXYW","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":"7da589adca38da9082d14cefaf11c248400f3f8f3f959927440f298c0672f0ad","cross_cats_sorted":["cs.CE","cs.MS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.GN","submitted_at":"2014-03-25T17:21:55Z","title_canon_sha256":"d07a86d3d152c5ff6d245d5c68747d45c1ce390b29112b3f0e6461da71c3150d"},"schema_version":"1.0","source":{"id":"1403.6426","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1403.6426","created_at":"2026-05-18T02:55:36Z"},{"alias_kind":"arxiv_version","alias_value":"1403.6426v1","created_at":"2026-05-18T02:55:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.6426","created_at":"2026-05-18T02:55:36Z"},{"alias_kind":"pith_short_12","alias_value":"ELI55R7QHJUQ","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_16","alias_value":"ELI55R7QHJUQE6VZ","created_at":"2026-05-18T12:28:28Z"},{"alias_kind":"pith_short_8","alias_value":"ELI55R7Q","created_at":"2026-05-18T12:28:28Z"}],"graph_snapshots":[{"event_id":"sha256:0f2f80020baf92f7617cbb333553bab170b6f344415b7963ad7058d1b00f9a49","target":"graph","created_at":"2026-05-18T02:55:36Z","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":"In order to associate complex traits with genetic polymorphisms, genome-wide association studies process huge datasets involving tens of thousands of individuals genotyped for millions of polymorphisms. When handling these datasets, which exceed the main memory of contemporary computers, one faces two distinct challenges: 1) Millions of polymorphisms and thousands of phenotypes come at the cost of hundreds of gigabytes of data, which can only be kept in secondary storage; 2) the relatedness of the test population is represented by a relationship matrix, which, for large populations, can only f","authors_text":"Diego Fabregat-Traver (1), Elmar Peise (1), Paolo Bientinesi (1) ((1) AICES, RWTH Aachen)","cross_cats":["cs.CE","cs.MS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.GN","submitted_at":"2014-03-25T17:21:55Z","title":"High Performance Solutions for Big-data GWAS"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.6426","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":"sha256:5688ad8b7cda5df45f9833b279a8440b22c63114a3edb0468fe508d95baa7c14","target":"record","created_at":"2026-05-18T02:55:36Z","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":"7da589adca38da9082d14cefaf11c248400f3f8f3f959927440f298c0672f0ad","cross_cats_sorted":["cs.CE","cs.MS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.GN","submitted_at":"2014-03-25T17:21:55Z","title_canon_sha256":"d07a86d3d152c5ff6d245d5c68747d45c1ce390b29112b3f0e6461da71c3150d"},"schema_version":"1.0","source":{"id":"1403.6426","kind":"arxiv","version":1}},"canonical_sha256":"22d1dec7f03a69027ab9b9110079f7c5a833b1d21045af7964d62fce517301b4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"22d1dec7f03a69027ab9b9110079f7c5a833b1d21045af7964d62fce517301b4","first_computed_at":"2026-05-18T02:55:36.930489Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:55:36.930489Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xONSglLMFDCaKseGvL8incZIfX6+7GHP4ZLIGxLT87WekScu0MoWighDGYOfXp5diAzLmtho7+Lvvr1urvtzBA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:55:36.931094Z","signed_message":"canonical_sha256_bytes"},"source_id":"1403.6426","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5688ad8b7cda5df45f9833b279a8440b22c63114a3edb0468fe508d95baa7c14","sha256:0f2f80020baf92f7617cbb333553bab170b6f344415b7963ad7058d1b00f9a49"],"state_sha256":"897060cddd15d9afbe84b623be949034b7f182eb553553cc69e14777e2b23cf1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lMQ2XNwvCStqW123VQLWP69Alc4vJJxKejf9UjbLnV79Bd6U/ZWjUCARuSx5Bv9wynzg8PWUHaQfQmCK1+goCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-25T17:49:46.565146Z","bundle_sha256":"57c4da5903078cc365ebe635f84f3bfeb35e0315d51f62401cc105618cc0e4ca"}}