{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:F4Y2IKBWHP6WMC3ISVSPPU5ZAB","short_pith_number":"pith:F4Y2IKBW","canonical_record":{"source":{"id":"1903.04955","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-03-12T14:37:32Z","cross_cats_sorted":["stat.AP","stat.TH"],"title_canon_sha256":"a063bb3c623442aaa9cb79325ed78f5ad5a62b2e97b6ebe91fbff8a50962083a","abstract_canon_sha256":"9c3b11cf66a026d6f6afb0b074769769a91fa5542651797f2ce330d8ceb2b6fb"},"schema_version":"1.0"},"canonical_sha256":"2f31a428363bfd660b689564f7d3b90059b8e77fbbc13cc7ff896ec788366ac1","source":{"kind":"arxiv","id":"1903.04955","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.04955","created_at":"2026-05-17T23:51:26Z"},{"alias_kind":"arxiv_version","alias_value":"1903.04955v1","created_at":"2026-05-17T23:51:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.04955","created_at":"2026-05-17T23:51:26Z"},{"alias_kind":"pith_short_12","alias_value":"F4Y2IKBWHP6W","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"F4Y2IKBWHP6WMC3I","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"F4Y2IKBW","created_at":"2026-05-18T12:33:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:F4Y2IKBWHP6WMC3ISVSPPU5ZAB","target":"record","payload":{"canonical_record":{"source":{"id":"1903.04955","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-03-12T14:37:32Z","cross_cats_sorted":["stat.AP","stat.TH"],"title_canon_sha256":"a063bb3c623442aaa9cb79325ed78f5ad5a62b2e97b6ebe91fbff8a50962083a","abstract_canon_sha256":"9c3b11cf66a026d6f6afb0b074769769a91fa5542651797f2ce330d8ceb2b6fb"},"schema_version":"1.0"},"canonical_sha256":"2f31a428363bfd660b689564f7d3b90059b8e77fbbc13cc7ff896ec788366ac1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:51:26.638602Z","signature_b64":"i6MtVQX5OFQE1NoGQXy9G52dkIJuxB75La4tjAUTh4wjSka6tuLenVRKWeECdAxKDuzYQ+DME3GArKnECpetBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2f31a428363bfd660b689564f7d3b90059b8e77fbbc13cc7ff896ec788366ac1","last_reissued_at":"2026-05-17T23:51:26.638142Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:51:26.638142Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.04955","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":"2026-05-17T23:51:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pdxL4Tt2xIX0TxzZS842+NJlPIZ+3LDsex8yL9+qIqMC+J7PpHFskYqOTuU+ib/Pi3sWPXKRQPHJgR+BT7TbBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T17:05:22.935443Z"},"content_sha256":"220751464b03bb80bf5fd5ca00213be2565dc959991e49d65c670e25a20849de","schema_version":"1.0","event_id":"sha256:220751464b03bb80bf5fd5ca00213be2565dc959991e49d65c670e25a20849de"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:F4Y2IKBWHP6WMC3ISVSPPU5ZAB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ECKO: Ensemble of Clustered Knockoffs for multivariate inference on fMRI data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP","stat.TH"],"primary_cat":"math.ST","authors_text":"Bertrand Thirion, J\\'er\\^ome-Alexis Chevalier, Tuan-Binh Nguyen","submitted_at":"2019-03-12T14:37:32Z","abstract_excerpt":"Continuous improvement in medical imaging techniques allows the acquisition of higher-resolution images. When these are used in a predictive setting, a greater number of explanatory variables are potentially related to the dependent variable (the response). Meanwhile, the number of acquisitions per experiment remains limited. In such high dimension/small sample size setting, it is desirable to find the explanatory variables that are truly related to the response while controlling the rate of false discoveries. To achieve this goal, novel multivariate inference procedures, such as knockoff infe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.04955","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":"2026-05-17T23:51:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IVMhbGauDqTcF97wH8xGpfhh4uR5AyiD431ExanPxDGRA/Y41FR3p1nN6xvHSiXvj5/zYhEKlvvIadjgMWDRDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T17:05:22.935841Z"},"content_sha256":"95375952d5b93d87fc26a9ec06efd8b7c6d073a47088067035c346a649e4c721","schema_version":"1.0","event_id":"sha256:95375952d5b93d87fc26a9ec06efd8b7c6d073a47088067035c346a649e4c721"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F4Y2IKBWHP6WMC3ISVSPPU5ZAB/bundle.json","state_url":"https://pith.science/pith/F4Y2IKBWHP6WMC3ISVSPPU5ZAB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F4Y2IKBWHP6WMC3ISVSPPU5ZAB/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":"2026-07-02T17:05:22Z","links":{"resolver":"https://pith.science/pith/F4Y2IKBWHP6WMC3ISVSPPU5ZAB","bundle":"https://pith.science/pith/F4Y2IKBWHP6WMC3ISVSPPU5ZAB/bundle.json","state":"https://pith.science/pith/F4Y2IKBWHP6WMC3ISVSPPU5ZAB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F4Y2IKBWHP6WMC3ISVSPPU5ZAB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:F4Y2IKBWHP6WMC3ISVSPPU5ZAB","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":"9c3b11cf66a026d6f6afb0b074769769a91fa5542651797f2ce330d8ceb2b6fb","cross_cats_sorted":["stat.AP","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-03-12T14:37:32Z","title_canon_sha256":"a063bb3c623442aaa9cb79325ed78f5ad5a62b2e97b6ebe91fbff8a50962083a"},"schema_version":"1.0","source":{"id":"1903.04955","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.04955","created_at":"2026-05-17T23:51:26Z"},{"alias_kind":"arxiv_version","alias_value":"1903.04955v1","created_at":"2026-05-17T23:51:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.04955","created_at":"2026-05-17T23:51:26Z"},{"alias_kind":"pith_short_12","alias_value":"F4Y2IKBWHP6W","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"F4Y2IKBWHP6WMC3I","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"F4Y2IKBW","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:95375952d5b93d87fc26a9ec06efd8b7c6d073a47088067035c346a649e4c721","target":"graph","created_at":"2026-05-17T23:51:26Z","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":"Continuous improvement in medical imaging techniques allows the acquisition of higher-resolution images. When these are used in a predictive setting, a greater number of explanatory variables are potentially related to the dependent variable (the response). Meanwhile, the number of acquisitions per experiment remains limited. In such high dimension/small sample size setting, it is desirable to find the explanatory variables that are truly related to the response while controlling the rate of false discoveries. To achieve this goal, novel multivariate inference procedures, such as knockoff infe","authors_text":"Bertrand Thirion, J\\'er\\^ome-Alexis Chevalier, Tuan-Binh Nguyen","cross_cats":["stat.AP","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-03-12T14:37:32Z","title":"ECKO: Ensemble of Clustered Knockoffs for multivariate inference on fMRI data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.04955","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":"sha256:220751464b03bb80bf5fd5ca00213be2565dc959991e49d65c670e25a20849de","target":"record","created_at":"2026-05-17T23:51:26Z","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":"9c3b11cf66a026d6f6afb0b074769769a91fa5542651797f2ce330d8ceb2b6fb","cross_cats_sorted":["stat.AP","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-03-12T14:37:32Z","title_canon_sha256":"a063bb3c623442aaa9cb79325ed78f5ad5a62b2e97b6ebe91fbff8a50962083a"},"schema_version":"1.0","source":{"id":"1903.04955","kind":"arxiv","version":1}},"canonical_sha256":"2f31a428363bfd660b689564f7d3b90059b8e77fbbc13cc7ff896ec788366ac1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2f31a428363bfd660b689564f7d3b90059b8e77fbbc13cc7ff896ec788366ac1","first_computed_at":"2026-05-17T23:51:26.638142Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:51:26.638142Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"i6MtVQX5OFQE1NoGQXy9G52dkIJuxB75La4tjAUTh4wjSka6tuLenVRKWeECdAxKDuzYQ+DME3GArKnECpetBg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:51:26.638602Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.04955","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:220751464b03bb80bf5fd5ca00213be2565dc959991e49d65c670e25a20849de","sha256:95375952d5b93d87fc26a9ec06efd8b7c6d073a47088067035c346a649e4c721"],"state_sha256":"6acf04858a55362f48bdeaa42c56cd65897d7a03a6805c237b9d76997af936e9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dRgNjuHzDzjyv6UzqGVNpIeRc8hQUijZUYZLLXecpTEUl5CquKxO2+9g5qrTXTjliw++PsJxxEXBaZ90QUzcCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T17:05:22.937785Z","bundle_sha256":"8647cc4e3574ac53a735a1aa8d7d8b8a50f0efe2f200e92682b0808912949ee3"}}