{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:2BMDV3XVOPCNEL7XMJ56JO4ZUW","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":"38e8c3bf1c203763c78fdfaf47ac7a63816045d05909d21c9f545aba3f5f6787","cross_cats_sorted":["math.ST","stat.ML","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-05-25T13:45:38Z","title_canon_sha256":"14623f6d888a2b4047778fd08195f0d0a09caee632be6bd622f9d5fa88ab1102"},"schema_version":"1.0","source":{"id":"2605.25855","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25855","created_at":"2026-05-26T02:05:15Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25855v1","created_at":"2026-05-26T02:05:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25855","created_at":"2026-05-26T02:05:15Z"},{"alias_kind":"pith_short_12","alias_value":"2BMDV3XVOPCN","created_at":"2026-05-26T02:05:15Z"},{"alias_kind":"pith_short_16","alias_value":"2BMDV3XVOPCNEL7X","created_at":"2026-05-26T02:05:15Z"},{"alias_kind":"pith_short_8","alias_value":"2BMDV3XV","created_at":"2026-05-26T02:05:15Z"}],"graph_snapshots":[{"event_id":"sha256:92ba80cb03be6236665ce1d734bbb9952d50c07aff00427ce91c731800203cdc","target":"graph","created_at":"2026-05-26T02:05:15Z","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/2605.25855/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study change-point detection for high-dimensional data in regimes where inference must be performed from small batches of observations. Our primary focus is the high-dimensional, low sample size (HDLSS) regime, where the sequence length is fixed while the ambient dimension diverges. We propose a dimension-averaged angular kernel scan framework for detecting marginal distributional shifts. The statistic aggregates bounded one-dimensional angular discrepancies across coordinates, yielding a fully nonparametric, hyperparameter-free, and moment-agnostic estimator that remains well-defined witho","authors_text":"Jyotishka Ray Choudhury, Yao Xie","cross_cats":["math.ST","stat.ML","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-05-25T13:45:38Z","title":"High-Dimensional Change-Point Detection via Angular Kernel Statistics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25855","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:f95b33d58cadac403293df042fc450ed2816cc1a5a2c1a18a2ab87aaf3c85f1e","target":"record","created_at":"2026-05-26T02:05:15Z","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":"38e8c3bf1c203763c78fdfaf47ac7a63816045d05909d21c9f545aba3f5f6787","cross_cats_sorted":["math.ST","stat.ML","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-05-25T13:45:38Z","title_canon_sha256":"14623f6d888a2b4047778fd08195f0d0a09caee632be6bd622f9d5fa88ab1102"},"schema_version":"1.0","source":{"id":"2605.25855","kind":"arxiv","version":1}},"canonical_sha256":"d0583aeef573c4d22ff7627be4bb99a5abbbdc2abed7cd3f5f9c6b6b566eb257","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d0583aeef573c4d22ff7627be4bb99a5abbbdc2abed7cd3f5f9c6b6b566eb257","first_computed_at":"2026-05-26T02:05:15.414332Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:05:15.414332Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FwBK3QGRUgRjGaYZgbwYVQLf1NI56SpWLvB5XZzpJ57lzTsExiUwm8xBwi26maz1B6zUuoAlpk25BNzZ+JKuCw==","signature_status":"signed_v1","signed_at":"2026-05-26T02:05:15.414989Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.25855","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f95b33d58cadac403293df042fc450ed2816cc1a5a2c1a18a2ab87aaf3c85f1e","sha256:92ba80cb03be6236665ce1d734bbb9952d50c07aff00427ce91c731800203cdc"],"state_sha256":"99006a5a6191db33ee8e8771280e4187e8e563de3798242bb59ba25e05320311"}