{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:XSJDHQ5XJNHZKJV2GTTIJ6BNI2","short_pith_number":"pith:XSJDHQ5X","canonical_record":{"source":{"id":"2311.18769","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-30T18:08:16Z","cross_cats_sorted":["cs.SY","eess.SY","stat.ML"],"title_canon_sha256":"f412c2f810aed03290242c4ac35c684e3a2ac7609e758f862329b68c5d9008f5","abstract_canon_sha256":"2258d3a0a7cba3977e4b1c3fed64cc4865e65f2d641919f80bb9127358092fa2"},"schema_version":"1.0"},"canonical_sha256":"bc9233c3b74b4f9526ba34e684f82d469f0b1df0ef95cca46cfb661cf78811ff","source":{"kind":"arxiv","id":"2311.18769","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.18769","created_at":"2026-07-05T07:18:46Z"},{"alias_kind":"arxiv_version","alias_value":"2311.18769v1","created_at":"2026-07-05T07:18:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.18769","created_at":"2026-07-05T07:18:46Z"},{"alias_kind":"pith_short_12","alias_value":"XSJDHQ5XJNHZ","created_at":"2026-07-05T07:18:46Z"},{"alias_kind":"pith_short_16","alias_value":"XSJDHQ5XJNHZKJV2","created_at":"2026-07-05T07:18:46Z"},{"alias_kind":"pith_short_8","alias_value":"XSJDHQ5X","created_at":"2026-07-05T07:18:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:XSJDHQ5XJNHZKJV2GTTIJ6BNI2","target":"record","payload":{"canonical_record":{"source":{"id":"2311.18769","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-30T18:08:16Z","cross_cats_sorted":["cs.SY","eess.SY","stat.ML"],"title_canon_sha256":"f412c2f810aed03290242c4ac35c684e3a2ac7609e758f862329b68c5d9008f5","abstract_canon_sha256":"2258d3a0a7cba3977e4b1c3fed64cc4865e65f2d641919f80bb9127358092fa2"},"schema_version":"1.0"},"canonical_sha256":"bc9233c3b74b4f9526ba34e684f82d469f0b1df0ef95cca46cfb661cf78811ff","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:18:46.387595Z","signature_b64":"JVhYzE/cwzrEE25WJLEFyowD5ZOUEYR/1b6/h/2kLoKT9+GcsrI55gGzps6QVd7oqqcz/QQIyqNf2XOH7UpJAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bc9233c3b74b4f9526ba34e684f82d469f0b1df0ef95cca46cfb661cf78811ff","last_reissued_at":"2026-07-05T07:18:46.387129Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:18:46.387129Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.18769","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:18:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z+awB80abJvlgdTfrDa17QtOt31dRXMCk1IOESusx1mOXAbGZPXyteOIVxJO/dTOoBkBd4sFOM+osyczJolgBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T00:48:55.222637Z"},"content_sha256":"9f49ee1841b37dd1cc0627bd14e6c2e84531733d9e0f4fd33b8e8bdd4dae2954","schema_version":"1.0","event_id":"sha256:9f49ee1841b37dd1cc0627bd14e6c2e84531733d9e0f4fd33b8e8bdd4dae2954"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:XSJDHQ5XJNHZKJV2GTTIJ6BNI2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Online Change Points Detection for Linear Dynamical Systems with Finite Sample Guarantees","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY","eess.SY","stat.ML"],"primary_cat":"cs.LG","authors_text":"George Chiu, Lei Xin, Shreyas Sundaram","submitted_at":"2023-11-30T18:08:16Z","abstract_excerpt":"The problem of online change point detection is to detect abrupt changes in properties of time series, ideally as soon as possible after those changes occur. Existing work on online change point detection either assumes i.i.d data, focuses on asymptotic analysis, does not present theoretical guarantees on the trade-off between detection accuracy and detection delay, or is only suitable for detecting single change points. In this work, we study the online change point detection problem for linear dynamical systems with unknown dynamics, where the data exhibits temporal correlations and the syst"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.18769","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2311.18769/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T07:18:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i4k/Lgt4jXQUAXcdzvvrUidMyQQ8U40DpHWH7PtoI0z/YMNub3NrknC4PjOb0zf2w0IMWeFig3ooq06imHIyBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T00:48:55.223439Z"},"content_sha256":"c8d2d1588f90e3722a3e22772b664b89762eb44d0378c2b81728887226d540e3","schema_version":"1.0","event_id":"sha256:c8d2d1588f90e3722a3e22772b664b89762eb44d0378c2b81728887226d540e3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XSJDHQ5XJNHZKJV2GTTIJ6BNI2/bundle.json","state_url":"https://pith.science/pith/XSJDHQ5XJNHZKJV2GTTIJ6BNI2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XSJDHQ5XJNHZKJV2GTTIJ6BNI2/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":"2026-08-19T00:48:55Z","links":{"resolver":"https://pith.science/pith/XSJDHQ5XJNHZKJV2GTTIJ6BNI2","bundle":"https://pith.science/pith/XSJDHQ5XJNHZKJV2GTTIJ6BNI2/bundle.json","state":"https://pith.science/pith/XSJDHQ5XJNHZKJV2GTTIJ6BNI2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XSJDHQ5XJNHZKJV2GTTIJ6BNI2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:XSJDHQ5XJNHZKJV2GTTIJ6BNI2","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":"2258d3a0a7cba3977e4b1c3fed64cc4865e65f2d641919f80bb9127358092fa2","cross_cats_sorted":["cs.SY","eess.SY","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-30T18:08:16Z","title_canon_sha256":"f412c2f810aed03290242c4ac35c684e3a2ac7609e758f862329b68c5d9008f5"},"schema_version":"1.0","source":{"id":"2311.18769","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.18769","created_at":"2026-07-05T07:18:46Z"},{"alias_kind":"arxiv_version","alias_value":"2311.18769v1","created_at":"2026-07-05T07:18:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.18769","created_at":"2026-07-05T07:18:46Z"},{"alias_kind":"pith_short_12","alias_value":"XSJDHQ5XJNHZ","created_at":"2026-07-05T07:18:46Z"},{"alias_kind":"pith_short_16","alias_value":"XSJDHQ5XJNHZKJV2","created_at":"2026-07-05T07:18:46Z"},{"alias_kind":"pith_short_8","alias_value":"XSJDHQ5X","created_at":"2026-07-05T07:18:46Z"}],"graph_snapshots":[{"event_id":"sha256:c8d2d1588f90e3722a3e22772b664b89762eb44d0378c2b81728887226d540e3","target":"graph","created_at":"2026-07-05T07:18:46Z","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/2311.18769/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The problem of online change point detection is to detect abrupt changes in properties of time series, ideally as soon as possible after those changes occur. Existing work on online change point detection either assumes i.i.d data, focuses on asymptotic analysis, does not present theoretical guarantees on the trade-off between detection accuracy and detection delay, or is only suitable for detecting single change points. In this work, we study the online change point detection problem for linear dynamical systems with unknown dynamics, where the data exhibits temporal correlations and the syst","authors_text":"George Chiu, Lei Xin, Shreyas Sundaram","cross_cats":["cs.SY","eess.SY","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-30T18:08:16Z","title":"Online Change Points Detection for Linear Dynamical Systems with Finite Sample Guarantees"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.18769","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":"sha256:9f49ee1841b37dd1cc0627bd14e6c2e84531733d9e0f4fd33b8e8bdd4dae2954","target":"record","created_at":"2026-07-05T07:18:46Z","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":"2258d3a0a7cba3977e4b1c3fed64cc4865e65f2d641919f80bb9127358092fa2","cross_cats_sorted":["cs.SY","eess.SY","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-30T18:08:16Z","title_canon_sha256":"f412c2f810aed03290242c4ac35c684e3a2ac7609e758f862329b68c5d9008f5"},"schema_version":"1.0","source":{"id":"2311.18769","kind":"arxiv","version":1}},"canonical_sha256":"bc9233c3b74b4f9526ba34e684f82d469f0b1df0ef95cca46cfb661cf78811ff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bc9233c3b74b4f9526ba34e684f82d469f0b1df0ef95cca46cfb661cf78811ff","first_computed_at":"2026-07-05T07:18:46.387129Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:18:46.387129Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JVhYzE/cwzrEE25WJLEFyowD5ZOUEYR/1b6/h/2kLoKT9+GcsrI55gGzps6QVd7oqqcz/QQIyqNf2XOH7UpJAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:18:46.387595Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.18769","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9f49ee1841b37dd1cc0627bd14e6c2e84531733d9e0f4fd33b8e8bdd4dae2954","sha256:c8d2d1588f90e3722a3e22772b664b89762eb44d0378c2b81728887226d540e3"],"state_sha256":"b66d58ddba571ab53a98e282ede2beb662969158c577834ddaf809ae1e2ddc86"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iPfL0D4NrupwoNettBVTeXXMy8EViSAafTWgWJGl9knJlpqsSvKG+Jpg6GV8DExxz0hKsaY+FG73BJxQKXnDCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T00:48:55.228822Z","bundle_sha256":"91c91d4f71009c0e2374618c06c6c7a2df6b761b2fd4f59894010c3e5d5bb007"}}