{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:BPSLYG4LMTJZ62LRRIPN2GINEW","short_pith_number":"pith:BPSLYG4L","canonical_record":{"source":{"id":"1711.00949","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2017-11-02T21:39:27Z","cross_cats_sorted":["stat.ME","stat.TH"],"title_canon_sha256":"77539660121cb99ff308fb4374a79286ba570c9489ed654722b6adde98476e0c","abstract_canon_sha256":"47e8a5fa3434417d8a50ae63f850eaaa9b9d9d2fef443d255ad4c462bd11a74d"},"schema_version":"1.0"},"canonical_sha256":"0be4bc1b8b64d39f69718a1edd190d25b1a0a2ccecf1015bb0ee70d2f535eb55","source":{"kind":"arxiv","id":"1711.00949","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.00949","created_at":"2026-05-18T00:20:16Z"},{"alias_kind":"arxiv_version","alias_value":"1711.00949v2","created_at":"2026-05-18T00:20:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.00949","created_at":"2026-05-18T00:20:16Z"},{"alias_kind":"pith_short_12","alias_value":"BPSLYG4LMTJZ","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BPSLYG4LMTJZ62LR","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BPSLYG4L","created_at":"2026-05-18T12:31:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:BPSLYG4LMTJZ62LRRIPN2GINEW","target":"record","payload":{"canonical_record":{"source":{"id":"1711.00949","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2017-11-02T21:39:27Z","cross_cats_sorted":["stat.ME","stat.TH"],"title_canon_sha256":"77539660121cb99ff308fb4374a79286ba570c9489ed654722b6adde98476e0c","abstract_canon_sha256":"47e8a5fa3434417d8a50ae63f850eaaa9b9d9d2fef443d255ad4c462bd11a74d"},"schema_version":"1.0"},"canonical_sha256":"0be4bc1b8b64d39f69718a1edd190d25b1a0a2ccecf1015bb0ee70d2f535eb55","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:20:16.592379Z","signature_b64":"8dw5itevycDbs318jRC3luFGX2wuunj4+i1WIxdI7U+r1fKQOEMlpTh3t1X2TgS08N8SXPXXPXInJwnjyBy7CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0be4bc1b8b64d39f69718a1edd190d25b1a0a2ccecf1015bb0ee70d2f535eb55","last_reissued_at":"2026-05-18T00:20:16.591823Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:20:16.591823Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.00949","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":"2026-05-18T00:20:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZM1iPQz/1pvNjpkWSomXyFaV3Sqw0GR/pKVV7Yt8ffi224ghxwwoMubyOKUWMydIoxhYcVmSwvlvSBm8/ptmCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T17:58:23.537929Z"},"content_sha256":"64e4295c66d619e80b4922f58d869668bdee5371a53a24ecc3b9c54ae2c655a5","schema_version":"1.0","event_id":"sha256:64e4295c66d619e80b4922f58d869668bdee5371a53a24ecc3b9c54ae2c655a5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:BPSLYG4LMTJZ62LRRIPN2GINEW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Selective inference for the problem of regions via multiscale bootstrap","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ME","stat.TH"],"primary_cat":"math.ST","authors_text":"Hidetoshi Shimodaira, Yoshikazu Terada","submitted_at":"2017-11-02T21:39:27Z","abstract_excerpt":"A general approach to selective inference is considered for hypothesis testing of the null hypothesis represented as an arbitrary shaped region in the parameter space of multivariate normal model. This approach is useful for hierarchical clustering where confidence levels of clusters are calculated only for those appeared in the dendrogram, thus subject to heavy selection bias. Our computation is based on a raw confidence measure, called bootstrap probability, which is easily obtained by counting how many times the same cluster appears in bootstrap replicates of the dendrogram. We adjust the b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.00949","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":"2026-05-18T00:20:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yAAee0POUmGzZKXF5+hJYgAqsZLM/HKr9ZFd9P8j5Sdl33YixhU/fAF94n/LFNkvk6UqL6Zg1IMIV96q/orNBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T17:58:23.538278Z"},"content_sha256":"2ee18c83daa7f9c24df9e612ca8c521eb4addc45a7ca7f767a45d7184c24f48d","schema_version":"1.0","event_id":"sha256:2ee18c83daa7f9c24df9e612ca8c521eb4addc45a7ca7f767a45d7184c24f48d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BPSLYG4LMTJZ62LRRIPN2GINEW/bundle.json","state_url":"https://pith.science/pith/BPSLYG4LMTJZ62LRRIPN2GINEW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BPSLYG4LMTJZ62LRRIPN2GINEW/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":"2026-06-09T17:58:23Z","links":{"resolver":"https://pith.science/pith/BPSLYG4LMTJZ62LRRIPN2GINEW","bundle":"https://pith.science/pith/BPSLYG4LMTJZ62LRRIPN2GINEW/bundle.json","state":"https://pith.science/pith/BPSLYG4LMTJZ62LRRIPN2GINEW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BPSLYG4LMTJZ62LRRIPN2GINEW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:BPSLYG4LMTJZ62LRRIPN2GINEW","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":"47e8a5fa3434417d8a50ae63f850eaaa9b9d9d2fef443d255ad4c462bd11a74d","cross_cats_sorted":["stat.ME","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2017-11-02T21:39:27Z","title_canon_sha256":"77539660121cb99ff308fb4374a79286ba570c9489ed654722b6adde98476e0c"},"schema_version":"1.0","source":{"id":"1711.00949","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.00949","created_at":"2026-05-18T00:20:16Z"},{"alias_kind":"arxiv_version","alias_value":"1711.00949v2","created_at":"2026-05-18T00:20:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.00949","created_at":"2026-05-18T00:20:16Z"},{"alias_kind":"pith_short_12","alias_value":"BPSLYG4LMTJZ","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BPSLYG4LMTJZ62LR","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BPSLYG4L","created_at":"2026-05-18T12:31:08Z"}],"graph_snapshots":[{"event_id":"sha256:2ee18c83daa7f9c24df9e612ca8c521eb4addc45a7ca7f767a45d7184c24f48d","target":"graph","created_at":"2026-05-18T00:20:16Z","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 general approach to selective inference is considered for hypothesis testing of the null hypothesis represented as an arbitrary shaped region in the parameter space of multivariate normal model. This approach is useful for hierarchical clustering where confidence levels of clusters are calculated only for those appeared in the dendrogram, thus subject to heavy selection bias. Our computation is based on a raw confidence measure, called bootstrap probability, which is easily obtained by counting how many times the same cluster appears in bootstrap replicates of the dendrogram. We adjust the b","authors_text":"Hidetoshi Shimodaira, Yoshikazu Terada","cross_cats":["stat.ME","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2017-11-02T21:39:27Z","title":"Selective inference for the problem of regions via multiscale bootstrap"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.00949","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":"sha256:64e4295c66d619e80b4922f58d869668bdee5371a53a24ecc3b9c54ae2c655a5","target":"record","created_at":"2026-05-18T00:20:16Z","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":"47e8a5fa3434417d8a50ae63f850eaaa9b9d9d2fef443d255ad4c462bd11a74d","cross_cats_sorted":["stat.ME","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2017-11-02T21:39:27Z","title_canon_sha256":"77539660121cb99ff308fb4374a79286ba570c9489ed654722b6adde98476e0c"},"schema_version":"1.0","source":{"id":"1711.00949","kind":"arxiv","version":2}},"canonical_sha256":"0be4bc1b8b64d39f69718a1edd190d25b1a0a2ccecf1015bb0ee70d2f535eb55","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0be4bc1b8b64d39f69718a1edd190d25b1a0a2ccecf1015bb0ee70d2f535eb55","first_computed_at":"2026-05-18T00:20:16.591823Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:20:16.591823Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8dw5itevycDbs318jRC3luFGX2wuunj4+i1WIxdI7U+r1fKQOEMlpTh3t1X2TgS08N8SXPXXPXInJwnjyBy7CA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:20:16.592379Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.00949","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:64e4295c66d619e80b4922f58d869668bdee5371a53a24ecc3b9c54ae2c655a5","sha256:2ee18c83daa7f9c24df9e612ca8c521eb4addc45a7ca7f767a45d7184c24f48d"],"state_sha256":"f4cc5d66ff34483ececc6ff83c0b5c16207e57abc720bff22262a74f58e20048"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/lkgA/QPyDG6cOXcsbRQ19CE+wCFDp8WfZmOysYkbfQZKf4PMBrS1ZWmkKq5fyqpzhhtBdbWIPMdGtdVeUHiDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T17:58:23.540296Z","bundle_sha256":"a0ff810076875d73ec6b38d26a31742a7e9e4983f3fc3ba1d7635f26f7466b37"}}