{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:IOMONHU5VUSNEVHC6ULUEZ3HI6","short_pith_number":"pith:IOMONHU5","canonical_record":{"source":{"id":"1502.00465","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-02-02T13:20:48Z","cross_cats_sorted":[],"title_canon_sha256":"32abdec32051279aae4a16e3c6fc6a8e1e4dcc3fbad910f660533118efd3a4af","abstract_canon_sha256":"ac5c650ba77cfdfa25937f7d09fd53729fe39c9b8bf10438943606fdf18d0dcb"},"schema_version":"1.0"},"canonical_sha256":"4398e69e9dad24d254e2f5174267674780be69ecc75257eb2833c0d1642d10c5","source":{"kind":"arxiv","id":"1502.00465","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1502.00465","created_at":"2026-05-18T02:18:31Z"},{"alias_kind":"arxiv_version","alias_value":"1502.00465v3","created_at":"2026-05-18T02:18:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1502.00465","created_at":"2026-05-18T02:18:31Z"},{"alias_kind":"pith_short_12","alias_value":"IOMONHU5VUSN","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_16","alias_value":"IOMONHU5VUSNEVHC","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_8","alias_value":"IOMONHU5","created_at":"2026-05-18T12:29:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:IOMONHU5VUSNEVHC6ULUEZ3HI6","target":"record","payload":{"canonical_record":{"source":{"id":"1502.00465","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-02-02T13:20:48Z","cross_cats_sorted":[],"title_canon_sha256":"32abdec32051279aae4a16e3c6fc6a8e1e4dcc3fbad910f660533118efd3a4af","abstract_canon_sha256":"ac5c650ba77cfdfa25937f7d09fd53729fe39c9b8bf10438943606fdf18d0dcb"},"schema_version":"1.0"},"canonical_sha256":"4398e69e9dad24d254e2f5174267674780be69ecc75257eb2833c0d1642d10c5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:18:31.192114Z","signature_b64":"GbbOABAGTzfZ4rmHH6sg40OmnFLgs1U1AonS90NW19+9DBysO4CtNdtVXnur95/Vc9sV2g6fdanmwkECVJruCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4398e69e9dad24d254e2f5174267674780be69ecc75257eb2833c0d1642d10c5","last_reissued_at":"2026-05-18T02:18:31.191693Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:18:31.191693Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1502.00465","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":"2026-05-18T02:18:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GqkNbkeRsOikjNBNSXK/b/XxmDVifGG99VzjPp7GOBerbG5/MTURXk/wQlk9pPmmHw5fSjnxs9mOEVvy0du/AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T18:56:47.318712Z"},"content_sha256":"2af5393baf6d6db9b177022eee29fd67f7e96959cc70ca97b4beca7c73d0c96b","schema_version":"1.0","event_id":"sha256:2af5393baf6d6db9b177022eee29fd67f7e96959cc70ca97b4beca7c73d0c96b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:IOMONHU5VUSNEVHC6ULUEZ3HI6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Local optimization-based statistical inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Shifeng Xiong","submitted_at":"2015-02-02T13:20:48Z","abstract_excerpt":"This paper introduces a local optimization-based approach to test statistical hypotheses and to construct confidence intervals. This approach can be viewed as an extension of bootstrap, and yields asymptotically valid tests and confidence intervals as long as there exist consistent estimators of unknown parameters. We present simple algorithms including a neighborhood bootstrap method to implement the approach. Several examples in which theoretical analysis is not easy are presented to show the effectiveness of the proposed approach."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1502.00465","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":"2026-05-18T02:18:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lSnZQMny6SI52FiG0cmd8TxwCUYakqoHCOpTN4N5cCGUGh4netseoFojRPzkKb2VbYAHYS2z+hmE+cFhXSsZAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T18:56:47.319057Z"},"content_sha256":"b21ebe9bffed5ddca2a77ba6c8c5dfd587cb08c1a201ee026141adea5725c614","schema_version":"1.0","event_id":"sha256:b21ebe9bffed5ddca2a77ba6c8c5dfd587cb08c1a201ee026141adea5725c614"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IOMONHU5VUSNEVHC6ULUEZ3HI6/bundle.json","state_url":"https://pith.science/pith/IOMONHU5VUSNEVHC6ULUEZ3HI6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IOMONHU5VUSNEVHC6ULUEZ3HI6/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":"2026-06-24T18:56:47Z","links":{"resolver":"https://pith.science/pith/IOMONHU5VUSNEVHC6ULUEZ3HI6","bundle":"https://pith.science/pith/IOMONHU5VUSNEVHC6ULUEZ3HI6/bundle.json","state":"https://pith.science/pith/IOMONHU5VUSNEVHC6ULUEZ3HI6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IOMONHU5VUSNEVHC6ULUEZ3HI6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:IOMONHU5VUSNEVHC6ULUEZ3HI6","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":"ac5c650ba77cfdfa25937f7d09fd53729fe39c9b8bf10438943606fdf18d0dcb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-02-02T13:20:48Z","title_canon_sha256":"32abdec32051279aae4a16e3c6fc6a8e1e4dcc3fbad910f660533118efd3a4af"},"schema_version":"1.0","source":{"id":"1502.00465","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1502.00465","created_at":"2026-05-18T02:18:31Z"},{"alias_kind":"arxiv_version","alias_value":"1502.00465v3","created_at":"2026-05-18T02:18:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1502.00465","created_at":"2026-05-18T02:18:31Z"},{"alias_kind":"pith_short_12","alias_value":"IOMONHU5VUSN","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_16","alias_value":"IOMONHU5VUSNEVHC","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_8","alias_value":"IOMONHU5","created_at":"2026-05-18T12:29:25Z"}],"graph_snapshots":[{"event_id":"sha256:b21ebe9bffed5ddca2a77ba6c8c5dfd587cb08c1a201ee026141adea5725c614","target":"graph","created_at":"2026-05-18T02:18:31Z","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":"This paper introduces a local optimization-based approach to test statistical hypotheses and to construct confidence intervals. This approach can be viewed as an extension of bootstrap, and yields asymptotically valid tests and confidence intervals as long as there exist consistent estimators of unknown parameters. We present simple algorithms including a neighborhood bootstrap method to implement the approach. Several examples in which theoretical analysis is not easy are presented to show the effectiveness of the proposed approach.","authors_text":"Shifeng Xiong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-02-02T13:20:48Z","title":"Local optimization-based statistical inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1502.00465","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":"sha256:2af5393baf6d6db9b177022eee29fd67f7e96959cc70ca97b4beca7c73d0c96b","target":"record","created_at":"2026-05-18T02:18:31Z","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":"ac5c650ba77cfdfa25937f7d09fd53729fe39c9b8bf10438943606fdf18d0dcb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-02-02T13:20:48Z","title_canon_sha256":"32abdec32051279aae4a16e3c6fc6a8e1e4dcc3fbad910f660533118efd3a4af"},"schema_version":"1.0","source":{"id":"1502.00465","kind":"arxiv","version":3}},"canonical_sha256":"4398e69e9dad24d254e2f5174267674780be69ecc75257eb2833c0d1642d10c5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4398e69e9dad24d254e2f5174267674780be69ecc75257eb2833c0d1642d10c5","first_computed_at":"2026-05-18T02:18:31.191693Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:18:31.191693Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GbbOABAGTzfZ4rmHH6sg40OmnFLgs1U1AonS90NW19+9DBysO4CtNdtVXnur95/Vc9sV2g6fdanmwkECVJruCg==","signature_status":"signed_v1","signed_at":"2026-05-18T02:18:31.192114Z","signed_message":"canonical_sha256_bytes"},"source_id":"1502.00465","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2af5393baf6d6db9b177022eee29fd67f7e96959cc70ca97b4beca7c73d0c96b","sha256:b21ebe9bffed5ddca2a77ba6c8c5dfd587cb08c1a201ee026141adea5725c614"],"state_sha256":"13f574846304099962e3e925b018495c340250a93a9d2ee063055dac6083b0f8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h+OLxj9C58jGXTiSWy1tQGY4vPBvs4lqQ8W/3ODNtiBI8RZ3f4dBRveUY/pFvvnP+u/9xMZ1zaS4PlxAeduwBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-24T18:56:47.321002Z","bundle_sha256":"e14796b9643f3709ea4aecbdfed11987cfe1e1b669cf916c32a27944975dafa6"}}