{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:6P4JMJLJPXQQBYPYLV2C4NSMUZ","short_pith_number":"pith:6P4JMJLJ","canonical_record":{"source":{"id":"2312.15079","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2023-12-22T21:38:52Z","cross_cats_sorted":["math.ST","stat.TH"],"title_canon_sha256":"e92d6d612438795b1a3c1370963d4726a247961e27a5669092f778da685264e4","abstract_canon_sha256":"ab39a33c158f8e25cd8316249d4ab85546e76a8c08548c451ca3533c6fae1632"},"schema_version":"1.0"},"canonical_sha256":"f3f89625697de100e1f85d742e364ca66eb2863cb1bf075c07e543081fcb5f2f","source":{"kind":"arxiv","id":"2312.15079","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.15079","created_at":"2026-07-05T07:27:30Z"},{"alias_kind":"arxiv_version","alias_value":"2312.15079v1","created_at":"2026-07-05T07:27:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.15079","created_at":"2026-07-05T07:27:30Z"},{"alias_kind":"pith_short_12","alias_value":"6P4JMJLJPXQQ","created_at":"2026-07-05T07:27:30Z"},{"alias_kind":"pith_short_16","alias_value":"6P4JMJLJPXQQBYPY","created_at":"2026-07-05T07:27:30Z"},{"alias_kind":"pith_short_8","alias_value":"6P4JMJLJ","created_at":"2026-07-05T07:27:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:6P4JMJLJPXQQBYPYLV2C4NSMUZ","target":"record","payload":{"canonical_record":{"source":{"id":"2312.15079","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2023-12-22T21:38:52Z","cross_cats_sorted":["math.ST","stat.TH"],"title_canon_sha256":"e92d6d612438795b1a3c1370963d4726a247961e27a5669092f778da685264e4","abstract_canon_sha256":"ab39a33c158f8e25cd8316249d4ab85546e76a8c08548c451ca3533c6fae1632"},"schema_version":"1.0"},"canonical_sha256":"f3f89625697de100e1f85d742e364ca66eb2863cb1bf075c07e543081fcb5f2f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:27:30.714158Z","signature_b64":"dzdmtJt/v4blclADh5S+ksAuUpc8Jg5X+PYeEKALambJFaPfvK9PKfS7dG3vw9ic3LUUGlrADlh7Glg8SSwCAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f3f89625697de100e1f85d742e364ca66eb2863cb1bf075c07e543081fcb5f2f","last_reissued_at":"2026-07-05T07:27:30.713670Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:27:30.713670Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.15079","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":"2026-07-05T07:27:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1ABGBSJXRYqrtg2BRI1KlNoJ4YX5gWpY1jPGHhXgyn+pdMXvV5aOERUBqzeNAPn5LgkOvcXwoir/5tFQLqMJAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T02:49:40.013557Z"},"content_sha256":"85581f7190bbf5d6551d2079968dc4f8373ed042beee1de5fc4649bdd257645c","schema_version":"1.0","event_id":"sha256:85581f7190bbf5d6551d2079968dc4f8373ed042beee1de5fc4649bdd257645c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:6P4JMJLJPXQQBYPYLV2C4NSMUZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Invariance-based Inference in High-Dimensional Regression with Finite-Sample Guarantees","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.ST","stat.TH"],"primary_cat":"stat.ME","authors_text":"Panos Toulis, Wenxuan Guo","submitted_at":"2023-12-22T21:38:52Z","abstract_excerpt":"In this paper, we develop invariance-based procedures for testing and inference in high-dimensional regression models. These procedures, also known as randomization tests, provide several important advantages. First, for the global null hypothesis of significance, our test is valid in finite samples. It is also simple to implement and comes with finite-sample guarantees on statistical power. Remarkably, despite its simplicity, this testing idea has escaped the attention of earlier analytical work, which mainly concentrated on complex high-dimensional asymptotic methods. Under an additional ass"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.15079","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2312.15079/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T07:27:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dq61QRhIMGijW+/sfAVHSy5r90lj/jPaFQvLOXzSBUMK9p/OnLgtLCdn9qvVQX7v3tDx609gTNplRfaSKMSpDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T02:49:40.014502Z"},"content_sha256":"be1fa8be3dbc2da76bd566e24647eb4fe3bad5983059fe395158cb70e636ebad","schema_version":"1.0","event_id":"sha256:be1fa8be3dbc2da76bd566e24647eb4fe3bad5983059fe395158cb70e636ebad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6P4JMJLJPXQQBYPYLV2C4NSMUZ/bundle.json","state_url":"https://pith.science/pith/6P4JMJLJPXQQBYPYLV2C4NSMUZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6P4JMJLJPXQQBYPYLV2C4NSMUZ/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":"2026-08-05T02:49:40Z","links":{"resolver":"https://pith.science/pith/6P4JMJLJPXQQBYPYLV2C4NSMUZ","bundle":"https://pith.science/pith/6P4JMJLJPXQQBYPYLV2C4NSMUZ/bundle.json","state":"https://pith.science/pith/6P4JMJLJPXQQBYPYLV2C4NSMUZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6P4JMJLJPXQQBYPYLV2C4NSMUZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:6P4JMJLJPXQQBYPYLV2C4NSMUZ","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":"ab39a33c158f8e25cd8316249d4ab85546e76a8c08548c451ca3533c6fae1632","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2023-12-22T21:38:52Z","title_canon_sha256":"e92d6d612438795b1a3c1370963d4726a247961e27a5669092f778da685264e4"},"schema_version":"1.0","source":{"id":"2312.15079","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.15079","created_at":"2026-07-05T07:27:30Z"},{"alias_kind":"arxiv_version","alias_value":"2312.15079v1","created_at":"2026-07-05T07:27:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.15079","created_at":"2026-07-05T07:27:30Z"},{"alias_kind":"pith_short_12","alias_value":"6P4JMJLJPXQQ","created_at":"2026-07-05T07:27:30Z"},{"alias_kind":"pith_short_16","alias_value":"6P4JMJLJPXQQBYPY","created_at":"2026-07-05T07:27:30Z"},{"alias_kind":"pith_short_8","alias_value":"6P4JMJLJ","created_at":"2026-07-05T07:27:30Z"}],"graph_snapshots":[{"event_id":"sha256:be1fa8be3dbc2da76bd566e24647eb4fe3bad5983059fe395158cb70e636ebad","target":"graph","created_at":"2026-07-05T07:27:30Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2312.15079/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we develop invariance-based procedures for testing and inference in high-dimensional regression models. These procedures, also known as randomization tests, provide several important advantages. First, for the global null hypothesis of significance, our test is valid in finite samples. It is also simple to implement and comes with finite-sample guarantees on statistical power. Remarkably, despite its simplicity, this testing idea has escaped the attention of earlier analytical work, which mainly concentrated on complex high-dimensional asymptotic methods. Under an additional ass","authors_text":"Panos Toulis, Wenxuan Guo","cross_cats":["math.ST","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2023-12-22T21:38:52Z","title":"Invariance-based Inference in High-Dimensional Regression with Finite-Sample Guarantees"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.15079","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":"sha256:85581f7190bbf5d6551d2079968dc4f8373ed042beee1de5fc4649bdd257645c","target":"record","created_at":"2026-07-05T07:27:30Z","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":"ab39a33c158f8e25cd8316249d4ab85546e76a8c08548c451ca3533c6fae1632","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2023-12-22T21:38:52Z","title_canon_sha256":"e92d6d612438795b1a3c1370963d4726a247961e27a5669092f778da685264e4"},"schema_version":"1.0","source":{"id":"2312.15079","kind":"arxiv","version":1}},"canonical_sha256":"f3f89625697de100e1f85d742e364ca66eb2863cb1bf075c07e543081fcb5f2f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f3f89625697de100e1f85d742e364ca66eb2863cb1bf075c07e543081fcb5f2f","first_computed_at":"2026-07-05T07:27:30.713670Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:27:30.713670Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dzdmtJt/v4blclADh5S+ksAuUpc8Jg5X+PYeEKALambJFaPfvK9PKfS7dG3vw9ic3LUUGlrADlh7Glg8SSwCAA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:27:30.714158Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.15079","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:85581f7190bbf5d6551d2079968dc4f8373ed042beee1de5fc4649bdd257645c","sha256:be1fa8be3dbc2da76bd566e24647eb4fe3bad5983059fe395158cb70e636ebad"],"state_sha256":"b3896577677d5aef612ad6551f857ab73c87d5e4e5993537c7ab3a45038ea7e6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7o1G2Xr1jseDYvCrH+FCUNwCaMFwvlZIEEbm2I7yn7REcLWudx3UWGEbNtvSgckrT1YpCfzVCYFvoZ6HK7AHAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T02:49:40.021240Z","bundle_sha256":"acbbe274fbbd398d10a1f1ec2a5340eee10a5bc04b3b5a527c5bd57def2293ab"}}