{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:QKQLPCIKKXO6QFADXU7EDTWF4A","short_pith_number":"pith:QKQLPCIK","canonical_record":{"source":{"id":"1805.05170","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-05-14T13:41:48Z","cross_cats_sorted":[],"title_canon_sha256":"a630f57822a3454f28fa280fc8d14eae1437b241bf3ba2a6699976792b9d5813","abstract_canon_sha256":"62eda87871be5111188f2afada2765c213c414c7d123e206cb1246274992b0e3"},"schema_version":"1.0"},"canonical_sha256":"82a0b7890a55dde81403bd3e41cec5e03e1ab62aa7dea0c57bd5e46bb5f2ffef","source":{"kind":"arxiv","id":"1805.05170","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.05170","created_at":"2026-05-18T00:16:03Z"},{"alias_kind":"arxiv_version","alias_value":"1805.05170v1","created_at":"2026-05-18T00:16:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.05170","created_at":"2026-05-18T00:16:03Z"},{"alias_kind":"pith_short_12","alias_value":"QKQLPCIKKXO6","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"QKQLPCIKKXO6QFAD","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"QKQLPCIK","created_at":"2026-05-18T12:32:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:QKQLPCIKKXO6QFADXU7EDTWF4A","target":"record","payload":{"canonical_record":{"source":{"id":"1805.05170","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-05-14T13:41:48Z","cross_cats_sorted":[],"title_canon_sha256":"a630f57822a3454f28fa280fc8d14eae1437b241bf3ba2a6699976792b9d5813","abstract_canon_sha256":"62eda87871be5111188f2afada2765c213c414c7d123e206cb1246274992b0e3"},"schema_version":"1.0"},"canonical_sha256":"82a0b7890a55dde81403bd3e41cec5e03e1ab62aa7dea0c57bd5e46bb5f2ffef","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:16:03.764959Z","signature_b64":"3z/pqcIt4A/vg3VDXO318DHXvDwSKkT4ORW+spf88F8b1U0qxI/0oFIQAArWDHciR8BoDDL6H5KTJRx1BjF6Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"82a0b7890a55dde81403bd3e41cec5e03e1ab62aa7dea0c57bd5e46bb5f2ffef","last_reissued_at":"2026-05-18T00:16:03.764546Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:16:03.764546Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.05170","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":"2026-05-18T00:16:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jQA289cLSXC62jHsOQ2FsN4L9OmSZOdV8HloB/uOkNQSKB7Uh3rJhE6SZXIV5I7mAuC+Zs2Z46Pb/oGNMbDcAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T09:00:55.324912Z"},"content_sha256":"ba3376b3c986fca1ae5d23512316d00eb0cf92f225f24e748749f5417c55db5f","schema_version":"1.0","event_id":"sha256:ba3376b3c986fca1ae5d23512316d00eb0cf92f225f24e748749f5417c55db5f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:QKQLPCIKKXO6QFADXU7EDTWF4A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FastLORS: Joint Modeling for eQTL Mapping in R","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Eric Chi, Jacob Rhyne, Jung-Ying Tzeng, X. Jessie Jeng","submitted_at":"2018-05-14T13:41:48Z","abstract_excerpt":"Yang et al. (2013) introduced LORS, a method that jointly models the expression of genes, SNPs, and hidden factors for eQTL mapping. LORS solves a convex optimization problem and has guaranteed convergence. However, it can be computationally expensive for large datasets. In this paper we introduce Fast-LORS which uses the proximal gradient method to solve the LORS problem with significantly reduced computational burden. We apply Fast-LORS and LORS to data from the third phase of the International HapMap Project and obtain comparable results. Nevertheless, Fast-LORS shows substantial computatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.05170","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":"2026-05-18T00:16:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dQ6WshmoGChr3I4znN12X8TiynQYDMaMvxylNfflF/bn4s0XhY/p+qbixwvOojqnZO1vLMNFsoJ+Ul0IuGuVAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T09:00:55.325257Z"},"content_sha256":"e766f262e430504c7dca974a90138107ed3baaa687f076d2393c2a4fd22575fc","schema_version":"1.0","event_id":"sha256:e766f262e430504c7dca974a90138107ed3baaa687f076d2393c2a4fd22575fc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QKQLPCIKKXO6QFADXU7EDTWF4A/bundle.json","state_url":"https://pith.science/pith/QKQLPCIKKXO6QFADXU7EDTWF4A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QKQLPCIKKXO6QFADXU7EDTWF4A/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":"2026-06-20T09:00:55Z","links":{"resolver":"https://pith.science/pith/QKQLPCIKKXO6QFADXU7EDTWF4A","bundle":"https://pith.science/pith/QKQLPCIKKXO6QFADXU7EDTWF4A/bundle.json","state":"https://pith.science/pith/QKQLPCIKKXO6QFADXU7EDTWF4A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QKQLPCIKKXO6QFADXU7EDTWF4A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:QKQLPCIKKXO6QFADXU7EDTWF4A","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":"62eda87871be5111188f2afada2765c213c414c7d123e206cb1246274992b0e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-05-14T13:41:48Z","title_canon_sha256":"a630f57822a3454f28fa280fc8d14eae1437b241bf3ba2a6699976792b9d5813"},"schema_version":"1.0","source":{"id":"1805.05170","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.05170","created_at":"2026-05-18T00:16:03Z"},{"alias_kind":"arxiv_version","alias_value":"1805.05170v1","created_at":"2026-05-18T00:16:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.05170","created_at":"2026-05-18T00:16:03Z"},{"alias_kind":"pith_short_12","alias_value":"QKQLPCIKKXO6","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"QKQLPCIKKXO6QFAD","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"QKQLPCIK","created_at":"2026-05-18T12:32:46Z"}],"graph_snapshots":[{"event_id":"sha256:e766f262e430504c7dca974a90138107ed3baaa687f076d2393c2a4fd22575fc","target":"graph","created_at":"2026-05-18T00:16:03Z","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":"Yang et al. (2013) introduced LORS, a method that jointly models the expression of genes, SNPs, and hidden factors for eQTL mapping. LORS solves a convex optimization problem and has guaranteed convergence. However, it can be computationally expensive for large datasets. In this paper we introduce Fast-LORS which uses the proximal gradient method to solve the LORS problem with significantly reduced computational burden. We apply Fast-LORS and LORS to data from the third phase of the International HapMap Project and obtain comparable results. Nevertheless, Fast-LORS shows substantial computatio","authors_text":"Eric Chi, Jacob Rhyne, Jung-Ying Tzeng, X. Jessie Jeng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-05-14T13:41:48Z","title":"FastLORS: Joint Modeling for eQTL Mapping in R"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.05170","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:ba3376b3c986fca1ae5d23512316d00eb0cf92f225f24e748749f5417c55db5f","target":"record","created_at":"2026-05-18T00:16:03Z","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":"62eda87871be5111188f2afada2765c213c414c7d123e206cb1246274992b0e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-05-14T13:41:48Z","title_canon_sha256":"a630f57822a3454f28fa280fc8d14eae1437b241bf3ba2a6699976792b9d5813"},"schema_version":"1.0","source":{"id":"1805.05170","kind":"arxiv","version":1}},"canonical_sha256":"82a0b7890a55dde81403bd3e41cec5e03e1ab62aa7dea0c57bd5e46bb5f2ffef","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"82a0b7890a55dde81403bd3e41cec5e03e1ab62aa7dea0c57bd5e46bb5f2ffef","first_computed_at":"2026-05-18T00:16:03.764546Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:16:03.764546Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3z/pqcIt4A/vg3VDXO318DHXvDwSKkT4ORW+spf88F8b1U0qxI/0oFIQAArWDHciR8BoDDL6H5KTJRx1BjF6Dw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:16:03.764959Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.05170","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ba3376b3c986fca1ae5d23512316d00eb0cf92f225f24e748749f5417c55db5f","sha256:e766f262e430504c7dca974a90138107ed3baaa687f076d2393c2a4fd22575fc"],"state_sha256":"7aa33de747717fd0821ac85cfeef8e23242d36ba802bf43a8c2066f26e220e29"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tjh/hwYO3P6GbDefV5O7xL4+gp4VBQlh2BxFavfCDxnptrYTeITvHIUm0hRAu+MkYkThkPYZggOS/A1Ap7muAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-20T09:00:55.327234Z","bundle_sha256":"63d0394fc6d3180a5b00c819db7a6d84a059a68f10946b3400445dc50afb839b"}}