{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:OGZLD6HOWSB6EMI43OKOP5KE3S","short_pith_number":"pith:OGZLD6HO","canonical_record":{"source":{"id":"1608.01398","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-08-04T00:05:24Z","cross_cats_sorted":[],"title_canon_sha256":"83d49d2cd268f2f499fc20cc27a34d72592bf79a2a0abafc8b4c36c2d490356a","abstract_canon_sha256":"af71a1289c690ff1baa3c3af3d3c0fa488f78aadd60f0b02901f16d2b3381390"},"schema_version":"1.0"},"canonical_sha256":"71b2b1f8eeb483e2311cdb94e7f544dcaf329eaf8e12c26ddeb9364a49677253","source":{"kind":"arxiv","id":"1608.01398","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.01398","created_at":"2026-05-17T23:56:34Z"},{"alias_kind":"arxiv_version","alias_value":"1608.01398v3","created_at":"2026-05-17T23:56:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.01398","created_at":"2026-05-17T23:56:34Z"},{"alias_kind":"pith_short_12","alias_value":"OGZLD6HOWSB6","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_16","alias_value":"OGZLD6HOWSB6EMI4","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_8","alias_value":"OGZLD6HO","created_at":"2026-05-18T12:30:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:OGZLD6HOWSB6EMI43OKOP5KE3S","target":"record","payload":{"canonical_record":{"source":{"id":"1608.01398","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-08-04T00:05:24Z","cross_cats_sorted":[],"title_canon_sha256":"83d49d2cd268f2f499fc20cc27a34d72592bf79a2a0abafc8b4c36c2d490356a","abstract_canon_sha256":"af71a1289c690ff1baa3c3af3d3c0fa488f78aadd60f0b02901f16d2b3381390"},"schema_version":"1.0"},"canonical_sha256":"71b2b1f8eeb483e2311cdb94e7f544dcaf329eaf8e12c26ddeb9364a49677253","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:56:34.648135Z","signature_b64":"6YaL6Y7paQx+jwmZ/MwNLumV5inj+tE20SsGuOBP3EKoDYxUwD0Qxl/fWe30gZ5c2ISW7ga6APkK5IiG7S4nBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"71b2b1f8eeb483e2311cdb94e7f544dcaf329eaf8e12c26ddeb9364a49677253","last_reissued_at":"2026-05-17T23:56:34.647392Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:56:34.647392Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1608.01398","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:56:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dLqUs9vdhn5/jJMffqMRY6oORhWJtQ5HL2g5mU3lM2hVMhrm657KxBuE1u0xAiJBKdHxWdjJxOxkgVriEg3RAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T01:35:43.788626Z"},"content_sha256":"bd28805f2f97cdd131b663d4a0da2603d9d2c7ff43083209d3a824847130bc21","schema_version":"1.0","event_id":"sha256:bd28805f2f97cdd131b663d4a0da2603d9d2c7ff43083209d3a824847130bc21"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:OGZLD6HOWSB6EMI43OKOP5KE3S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Iterative Hard Thresholding for Model Selection in Genome-Wide Association Studies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ML","authors_text":"Gary K. Chen, Kenneth Lange, Kevin L. Keys","submitted_at":"2016-08-04T00:05:24Z","abstract_excerpt":"A genome-wide association study (GWAS) correlates marker variation with trait variation in a sample of individuals. Each study subject is genotyped at a multitude of SNPs (single nucleotide polymorphisms) spanning the genome. Here we assume that subjects are unrelated and collected at random and that trait values are normally distributed or transformed to normality. Over the past decade, researchers have been remarkably successful in applying GWAS analysis to hundreds of traits. The massive amount of data produced in these studies present unique computational challenges. Penalized regression w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.01398","kind":"arxiv","version":3},"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":"2026-05-17T23:56:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ttARjC90RaG+U3gxAaaWbGxO2oz8Z47VUdOua6vjOLzxKZYa2cO50Z7ZKmrTQY/LRhVKUWGDbwfHwGkiBf6BDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T01:35:43.789359Z"},"content_sha256":"f9efeb2eca30fb036faa07aeeae1e4c2ed4d11732e12a960da0626f698fc22a7","schema_version":"1.0","event_id":"sha256:f9efeb2eca30fb036faa07aeeae1e4c2ed4d11732e12a960da0626f698fc22a7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OGZLD6HOWSB6EMI43OKOP5KE3S/bundle.json","state_url":"https://pith.science/pith/OGZLD6HOWSB6EMI43OKOP5KE3S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OGZLD6HOWSB6EMI43OKOP5KE3S/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":"2026-06-07T01:35:43Z","links":{"resolver":"https://pith.science/pith/OGZLD6HOWSB6EMI43OKOP5KE3S","bundle":"https://pith.science/pith/OGZLD6HOWSB6EMI43OKOP5KE3S/bundle.json","state":"https://pith.science/pith/OGZLD6HOWSB6EMI43OKOP5KE3S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OGZLD6HOWSB6EMI43OKOP5KE3S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:OGZLD6HOWSB6EMI43OKOP5KE3S","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":"af71a1289c690ff1baa3c3af3d3c0fa488f78aadd60f0b02901f16d2b3381390","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-08-04T00:05:24Z","title_canon_sha256":"83d49d2cd268f2f499fc20cc27a34d72592bf79a2a0abafc8b4c36c2d490356a"},"schema_version":"1.0","source":{"id":"1608.01398","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.01398","created_at":"2026-05-17T23:56:34Z"},{"alias_kind":"arxiv_version","alias_value":"1608.01398v3","created_at":"2026-05-17T23:56:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.01398","created_at":"2026-05-17T23:56:34Z"},{"alias_kind":"pith_short_12","alias_value":"OGZLD6HOWSB6","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_16","alias_value":"OGZLD6HOWSB6EMI4","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_8","alias_value":"OGZLD6HO","created_at":"2026-05-18T12:30:36Z"}],"graph_snapshots":[{"event_id":"sha256:f9efeb2eca30fb036faa07aeeae1e4c2ed4d11732e12a960da0626f698fc22a7","target":"graph","created_at":"2026-05-17T23:56:34Z","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":"A genome-wide association study (GWAS) correlates marker variation with trait variation in a sample of individuals. Each study subject is genotyped at a multitude of SNPs (single nucleotide polymorphisms) spanning the genome. Here we assume that subjects are unrelated and collected at random and that trait values are normally distributed or transformed to normality. Over the past decade, researchers have been remarkably successful in applying GWAS analysis to hundreds of traits. The massive amount of data produced in these studies present unique computational challenges. Penalized regression w","authors_text":"Gary K. Chen, Kenneth Lange, Kevin L. Keys","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-08-04T00:05:24Z","title":"Iterative Hard Thresholding for Model Selection in Genome-Wide Association Studies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.01398","kind":"arxiv","version":3},"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:bd28805f2f97cdd131b663d4a0da2603d9d2c7ff43083209d3a824847130bc21","target":"record","created_at":"2026-05-17T23:56:34Z","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":"af71a1289c690ff1baa3c3af3d3c0fa488f78aadd60f0b02901f16d2b3381390","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-08-04T00:05:24Z","title_canon_sha256":"83d49d2cd268f2f499fc20cc27a34d72592bf79a2a0abafc8b4c36c2d490356a"},"schema_version":"1.0","source":{"id":"1608.01398","kind":"arxiv","version":3}},"canonical_sha256":"71b2b1f8eeb483e2311cdb94e7f544dcaf329eaf8e12c26ddeb9364a49677253","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71b2b1f8eeb483e2311cdb94e7f544dcaf329eaf8e12c26ddeb9364a49677253","first_computed_at":"2026-05-17T23:56:34.647392Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:56:34.647392Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6YaL6Y7paQx+jwmZ/MwNLumV5inj+tE20SsGuOBP3EKoDYxUwD0Qxl/fWe30gZ5c2ISW7ga6APkK5IiG7S4nBg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:56:34.648135Z","signed_message":"canonical_sha256_bytes"},"source_id":"1608.01398","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bd28805f2f97cdd131b663d4a0da2603d9d2c7ff43083209d3a824847130bc21","sha256:f9efeb2eca30fb036faa07aeeae1e4c2ed4d11732e12a960da0626f698fc22a7"],"state_sha256":"36c5588efe3727854954840ead9c193b0c6875e81a721ad1211b8888300269c7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Zak3OAhTu69TUjIPwl8jFhvRcXNRxSwINpgJe08UgI8E6VdwRCDPMGa8rdtJw6k/V+GPg9au6VYnRVV4V78JCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T01:35:43.793995Z","bundle_sha256":"72b52d9702074ed6fa2b26b1982e07cc7497ed5b0c23d8f8ad7d1e390a98672e"}}