{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:XBTB4D37OCI27LZSRRZIXL4C2M","short_pith_number":"pith:XBTB4D37","canonical_record":{"source":{"id":"1804.10889","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2018-04-29T08:15:36Z","cross_cats_sorted":["math.ST","stat.TH"],"title_canon_sha256":"4b3b0f606a9f75a24ea429f53f331bddc398760241959da8dcd53149790f11b3","abstract_canon_sha256":"f3e67ebc8894ea00077df86d53b8a0a6940328b2c5173d057dfb73586b8715c4"},"schema_version":"1.0"},"canonical_sha256":"b8661e0f7f7091afaf328c728baf82d308c12b860d7a5c0c9dd8ab9085cc0fbd","source":{"kind":"arxiv","id":"1804.10889","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.10889","created_at":"2026-05-18T00:16:53Z"},{"alias_kind":"arxiv_version","alias_value":"1804.10889v2","created_at":"2026-05-18T00:16:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.10889","created_at":"2026-05-18T00:16:53Z"},{"alias_kind":"pith_short_12","alias_value":"XBTB4D37OCI2","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"XBTB4D37OCI27LZS","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"XBTB4D37","created_at":"2026-05-18T12:33:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:XBTB4D37OCI27LZSRRZIXL4C2M","target":"record","payload":{"canonical_record":{"source":{"id":"1804.10889","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2018-04-29T08:15:36Z","cross_cats_sorted":["math.ST","stat.TH"],"title_canon_sha256":"4b3b0f606a9f75a24ea429f53f331bddc398760241959da8dcd53149790f11b3","abstract_canon_sha256":"f3e67ebc8894ea00077df86d53b8a0a6940328b2c5173d057dfb73586b8715c4"},"schema_version":"1.0"},"canonical_sha256":"b8661e0f7f7091afaf328c728baf82d308c12b860d7a5c0c9dd8ab9085cc0fbd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:16:53.144563Z","signature_b64":"0HubP1tQ5HYeHDDpEIEx8ODkHtrcOFg8L7fb8eCYzho4KFLfKARi30LeDrxfYKl8UceEmFfNhzBFczJwbnQEAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b8661e0f7f7091afaf328c728baf82d308c12b860d7a5c0c9dd8ab9085cc0fbd","last_reissued_at":"2026-05-18T00:16:53.143947Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:16:53.143947Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.10889","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":"2026-05-18T00:16:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5aF+1arJU7NL24gGDqLwlW+7crfQKWczBzWA1owmAkbCxJnYyHVLIZi3NoR6ffmGN6QgUmAJ0tecVtQs0ttQDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T00:22:42.680222Z"},"content_sha256":"27aad1c8b22f7441e9605d1d2a2fdbb88feaea19968f3c3899e6abca5c55dcb9","schema_version":"1.0","event_id":"sha256:27aad1c8b22f7441e9605d1d2a2fdbb88feaea19968f3c3899e6abca5c55dcb9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:XBTB4D37OCI27LZSRRZIXL4C2M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A linear time algorithm for multiscale quantile simulation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.ST","stat.TH"],"primary_cat":"stat.CO","authors_text":"Chengcheng Huang, Housen Li, Lizhi Cheng, Wei Peng","submitted_at":"2018-04-29T08:15:36Z","abstract_excerpt":"Change-point problems have appeared in a great many applications for example cancer genetics, econometrics and climate change. Modern multiscale type segmentation methods are considered to be a statistically efficient approach for multiple change-point detection, which minimize the number of change-points under a multiscale side-constraint. The constraint threshold plays a critical role in balancing the data-fit and model complexity. However, the computation time of such a threshold is quadratic in terms of sample size $n$, making it impractical for large scale problems. In this paper we propo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.10889","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":"2026-05-18T00:16:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5jcPpROFx/04/LllGwAEDqJniEXv55zHiBTj1KW7GGJthR9YL78HQfpyRmgjbxLPzDyLfIYq8A0kLhDlimcoBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T00:22:42.680583Z"},"content_sha256":"5322fb4f81bd456f5bb7f1f427b49c315e91216595eabb3dcedff5377e535ccb","schema_version":"1.0","event_id":"sha256:5322fb4f81bd456f5bb7f1f427b49c315e91216595eabb3dcedff5377e535ccb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XBTB4D37OCI27LZSRRZIXL4C2M/bundle.json","state_url":"https://pith.science/pith/XBTB4D37OCI27LZSRRZIXL4C2M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XBTB4D37OCI27LZSRRZIXL4C2M/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":"2026-06-03T00:22:42Z","links":{"resolver":"https://pith.science/pith/XBTB4D37OCI27LZSRRZIXL4C2M","bundle":"https://pith.science/pith/XBTB4D37OCI27LZSRRZIXL4C2M/bundle.json","state":"https://pith.science/pith/XBTB4D37OCI27LZSRRZIXL4C2M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XBTB4D37OCI27LZSRRZIXL4C2M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:XBTB4D37OCI27LZSRRZIXL4C2M","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":"f3e67ebc8894ea00077df86d53b8a0a6940328b2c5173d057dfb73586b8715c4","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2018-04-29T08:15:36Z","title_canon_sha256":"4b3b0f606a9f75a24ea429f53f331bddc398760241959da8dcd53149790f11b3"},"schema_version":"1.0","source":{"id":"1804.10889","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.10889","created_at":"2026-05-18T00:16:53Z"},{"alias_kind":"arxiv_version","alias_value":"1804.10889v2","created_at":"2026-05-18T00:16:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.10889","created_at":"2026-05-18T00:16:53Z"},{"alias_kind":"pith_short_12","alias_value":"XBTB4D37OCI2","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"XBTB4D37OCI27LZS","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"XBTB4D37","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:5322fb4f81bd456f5bb7f1f427b49c315e91216595eabb3dcedff5377e535ccb","target":"graph","created_at":"2026-05-18T00:16:53Z","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":"Change-point problems have appeared in a great many applications for example cancer genetics, econometrics and climate change. Modern multiscale type segmentation methods are considered to be a statistically efficient approach for multiple change-point detection, which minimize the number of change-points under a multiscale side-constraint. The constraint threshold plays a critical role in balancing the data-fit and model complexity. However, the computation time of such a threshold is quadratic in terms of sample size $n$, making it impractical for large scale problems. In this paper we propo","authors_text":"Chengcheng Huang, Housen Li, Lizhi Cheng, Wei Peng","cross_cats":["math.ST","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2018-04-29T08:15:36Z","title":"A linear time algorithm for multiscale quantile simulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.10889","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":"sha256:27aad1c8b22f7441e9605d1d2a2fdbb88feaea19968f3c3899e6abca5c55dcb9","target":"record","created_at":"2026-05-18T00:16:53Z","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":"f3e67ebc8894ea00077df86d53b8a0a6940328b2c5173d057dfb73586b8715c4","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2018-04-29T08:15:36Z","title_canon_sha256":"4b3b0f606a9f75a24ea429f53f331bddc398760241959da8dcd53149790f11b3"},"schema_version":"1.0","source":{"id":"1804.10889","kind":"arxiv","version":2}},"canonical_sha256":"b8661e0f7f7091afaf328c728baf82d308c12b860d7a5c0c9dd8ab9085cc0fbd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b8661e0f7f7091afaf328c728baf82d308c12b860d7a5c0c9dd8ab9085cc0fbd","first_computed_at":"2026-05-18T00:16:53.143947Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:16:53.143947Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0HubP1tQ5HYeHDDpEIEx8ODkHtrcOFg8L7fb8eCYzho4KFLfKARi30LeDrxfYKl8UceEmFfNhzBFczJwbnQEAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:16:53.144563Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.10889","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:27aad1c8b22f7441e9605d1d2a2fdbb88feaea19968f3c3899e6abca5c55dcb9","sha256:5322fb4f81bd456f5bb7f1f427b49c315e91216595eabb3dcedff5377e535ccb"],"state_sha256":"b8c6d422deae955778a91bce497f18a4da1faf8474805a577b19708f9c8ed11c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gnvh1AFpfDFGuf0NPcX1Mfv5L23CmUCfF4HOyW28uNSuh8JbgGsoEM0m2hp6+zORik9NjRJM4i7Aw3Fs4uhgBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T00:22:42.682691Z","bundle_sha256":"ff3999314612d9f1f909e8497ffd8215b52475689befd40df6f28e4bc5a069fb"}}