{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:WJDXPD372ZHGU4DKFXUUL35J2C","short_pith_number":"pith:WJDXPD37","canonical_record":{"source":{"id":"1612.07811","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-12-22T21:04:28Z","cross_cats_sorted":[],"title_canon_sha256":"d46d4aa1551087b5fd176fec269dd2c246b0c8bdb1e244ded96ab2f7bce47cee","abstract_canon_sha256":"b732ff22fd598096bacc16cbce0f177059c531226c0da1a757e3d7cbe02d17a9"},"schema_version":"1.0"},"canonical_sha256":"b247778f7fd64e6a706a2de945efa9d0b166c5dd5cc0be85552a5040e993254d","source":{"kind":"arxiv","id":"1612.07811","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.07811","created_at":"2026-05-18T00:34:10Z"},{"alias_kind":"arxiv_version","alias_value":"1612.07811v2","created_at":"2026-05-18T00:34:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.07811","created_at":"2026-05-18T00:34:10Z"},{"alias_kind":"pith_short_12","alias_value":"WJDXPD372ZHG","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_16","alias_value":"WJDXPD372ZHGU4DK","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_8","alias_value":"WJDXPD37","created_at":"2026-05-18T12:30:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:WJDXPD372ZHGU4DKFXUUL35J2C","target":"record","payload":{"canonical_record":{"source":{"id":"1612.07811","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-12-22T21:04:28Z","cross_cats_sorted":[],"title_canon_sha256":"d46d4aa1551087b5fd176fec269dd2c246b0c8bdb1e244ded96ab2f7bce47cee","abstract_canon_sha256":"b732ff22fd598096bacc16cbce0f177059c531226c0da1a757e3d7cbe02d17a9"},"schema_version":"1.0"},"canonical_sha256":"b247778f7fd64e6a706a2de945efa9d0b166c5dd5cc0be85552a5040e993254d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:34:10.095301Z","signature_b64":"p8FXQCSPORFc4T7jmCazUZnI4+k1Q78GLXo6jd67WrZP/A1BWE/NlrcsctdDttzr/vz4DzEHNgk5PQLE9ZYABw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b247778f7fd64e6a706a2de945efa9d0b166c5dd5cc0be85552a5040e993254d","last_reissued_at":"2026-05-18T00:34:10.094605Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:34:10.094605Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1612.07811","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:34:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5aVA7PSd1+mvLR6QyhlQAalFiDLGyhWFUqaBNn2Sb6PqH1aZGH8Nl+Yfa7dNZYrbcdoZJkAwp1CVqBU97DNMBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T10:25:52.946770Z"},"content_sha256":"8588e3522f6bdff03f05e58fca018826d276bb148ca28c202096efecfd855068","schema_version":"1.0","event_id":"sha256:8588e3522f6bdff03f05e58fca018826d276bb148ca28c202096efecfd855068"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:WJDXPD372ZHGU4DKFXUUL35J2C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bootstrap inference after using multiple queries for model selection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Jelena Markovic, Jonathan Taylor","submitted_at":"2016-12-22T21:04:28Z","abstract_excerpt":"In this work, we provide a refinement of the selective CLT result of Tian and Taylor (2015), which allows for selective inference in non-parametric settings by adjusting for the asymptotic Gaussian limit for selection. Under some regularity assumptions on the density of the randomization, including heavier tails than Gaussian satisfied by e.g. logistic distribution, we prove the selective CLT holds without any assumptions on the underlying parameter, allowing for rare selection events. We also show a selective CLT result for Gaussian randomization, though the quantitative results are qualitati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.07811","kind":"arxiv","version":2},"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":"2026-05-18T00:34:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KMhAF0/oNTXJx0JNkUfipJZuMl44abSRAKYE/EY0jdUyLEhYwFb+23ekXsFlVuuXmjY9T44Uf3PMrKjGcKMSAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T10:25:52.947132Z"},"content_sha256":"2e5500aadaa257aed8630287d853a9f94e3b9dd7a18428138197d9a211f000ea","schema_version":"1.0","event_id":"sha256:2e5500aadaa257aed8630287d853a9f94e3b9dd7a18428138197d9a211f000ea"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WJDXPD372ZHGU4DKFXUUL35J2C/bundle.json","state_url":"https://pith.science/pith/WJDXPD372ZHGU4DKFXUUL35J2C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WJDXPD372ZHGU4DKFXUUL35J2C/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":"2026-05-19T10:25:52Z","links":{"resolver":"https://pith.science/pith/WJDXPD372ZHGU4DKFXUUL35J2C","bundle":"https://pith.science/pith/WJDXPD372ZHGU4DKFXUUL35J2C/bundle.json","state":"https://pith.science/pith/WJDXPD372ZHGU4DKFXUUL35J2C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WJDXPD372ZHGU4DKFXUUL35J2C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:WJDXPD372ZHGU4DKFXUUL35J2C","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":"b732ff22fd598096bacc16cbce0f177059c531226c0da1a757e3d7cbe02d17a9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-12-22T21:04:28Z","title_canon_sha256":"d46d4aa1551087b5fd176fec269dd2c246b0c8bdb1e244ded96ab2f7bce47cee"},"schema_version":"1.0","source":{"id":"1612.07811","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.07811","created_at":"2026-05-18T00:34:10Z"},{"alias_kind":"arxiv_version","alias_value":"1612.07811v2","created_at":"2026-05-18T00:34:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.07811","created_at":"2026-05-18T00:34:10Z"},{"alias_kind":"pith_short_12","alias_value":"WJDXPD372ZHG","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_16","alias_value":"WJDXPD372ZHGU4DK","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_8","alias_value":"WJDXPD37","created_at":"2026-05-18T12:30:48Z"}],"graph_snapshots":[{"event_id":"sha256:2e5500aadaa257aed8630287d853a9f94e3b9dd7a18428138197d9a211f000ea","target":"graph","created_at":"2026-05-18T00:34:10Z","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 this work, we provide a refinement of the selective CLT result of Tian and Taylor (2015), which allows for selective inference in non-parametric settings by adjusting for the asymptotic Gaussian limit for selection. Under some regularity assumptions on the density of the randomization, including heavier tails than Gaussian satisfied by e.g. logistic distribution, we prove the selective CLT holds without any assumptions on the underlying parameter, allowing for rare selection events. We also show a selective CLT result for Gaussian randomization, though the quantitative results are qualitati","authors_text":"Jelena Markovic, Jonathan Taylor","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-12-22T21:04:28Z","title":"Bootstrap inference after using multiple queries for model selection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.07811","kind":"arxiv","version":2},"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":"sha256:8588e3522f6bdff03f05e58fca018826d276bb148ca28c202096efecfd855068","target":"record","created_at":"2026-05-18T00:34:10Z","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":"b732ff22fd598096bacc16cbce0f177059c531226c0da1a757e3d7cbe02d17a9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-12-22T21:04:28Z","title_canon_sha256":"d46d4aa1551087b5fd176fec269dd2c246b0c8bdb1e244ded96ab2f7bce47cee"},"schema_version":"1.0","source":{"id":"1612.07811","kind":"arxiv","version":2}},"canonical_sha256":"b247778f7fd64e6a706a2de945efa9d0b166c5dd5cc0be85552a5040e993254d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b247778f7fd64e6a706a2de945efa9d0b166c5dd5cc0be85552a5040e993254d","first_computed_at":"2026-05-18T00:34:10.094605Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:34:10.094605Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p8FXQCSPORFc4T7jmCazUZnI4+k1Q78GLXo6jd67WrZP/A1BWE/NlrcsctdDttzr/vz4DzEHNgk5PQLE9ZYABw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:34:10.095301Z","signed_message":"canonical_sha256_bytes"},"source_id":"1612.07811","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8588e3522f6bdff03f05e58fca018826d276bb148ca28c202096efecfd855068","sha256:2e5500aadaa257aed8630287d853a9f94e3b9dd7a18428138197d9a211f000ea"],"state_sha256":"4bd87e566d57810943fb3e2f2bb9aeef91e1d680e1c7a408cfe2711c2d9dac6b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tfb41JCwk5t40gR45lvj2yqkZc2ReixV5efFezH8JkpM/0W89NfoWpywV7AR+4D6qqJMSdBbHfRlAkMFuuXNBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-19T10:25:52.948738Z","bundle_sha256":"3b196257898e7a37310ce1fd4d2702df486397892c74fc5e06dc5426b395cd29"}}