{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:MGK3SAHZP7J6RE37JD2S5EXWUU","short_pith_number":"pith:MGK3SAHZ","canonical_record":{"source":{"id":"2410.20820","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-28T08:11:17Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"3e378190255eb06ea06fac99a70e96aaf9f88c43bd12b58af9af3847b325b53b","abstract_canon_sha256":"5cb962eaf1a8b2fa7bded21231b35f9c8ef709d5182689641ce75a17d969ed3b"},"schema_version":"1.0"},"canonical_sha256":"6195b900f97fd3e8937f48f52e92f6a5131daf0a8d2709e61f6a33e85c8415cc","source":{"kind":"arxiv","id":"2410.20820","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.20820","created_at":"2026-07-05T09:27:11Z"},{"alias_kind":"arxiv_version","alias_value":"2410.20820v1","created_at":"2026-07-05T09:27:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.20820","created_at":"2026-07-05T09:27:11Z"},{"alias_kind":"pith_short_12","alias_value":"MGK3SAHZP7J6","created_at":"2026-07-05T09:27:11Z"},{"alias_kind":"pith_short_16","alias_value":"MGK3SAHZP7J6RE37","created_at":"2026-07-05T09:27:11Z"},{"alias_kind":"pith_short_8","alias_value":"MGK3SAHZ","created_at":"2026-07-05T09:27:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:MGK3SAHZP7J6RE37JD2S5EXWUU","target":"record","payload":{"canonical_record":{"source":{"id":"2410.20820","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-28T08:11:17Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"3e378190255eb06ea06fac99a70e96aaf9f88c43bd12b58af9af3847b325b53b","abstract_canon_sha256":"5cb962eaf1a8b2fa7bded21231b35f9c8ef709d5182689641ce75a17d969ed3b"},"schema_version":"1.0"},"canonical_sha256":"6195b900f97fd3e8937f48f52e92f6a5131daf0a8d2709e61f6a33e85c8415cc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:27:11.631362Z","signature_b64":"ZHD0/ErBT8MI/+lfw97I4vchriLTCJK4l/EVPe22yHjqrUwgYTWYppG9lDBb25HkH06RqBxHh03a7FrfT/SgAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6195b900f97fd3e8937f48f52e92f6a5131daf0a8d2709e61f6a33e85c8415cc","last_reissued_at":"2026-07-05T09:27:11.630899Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:27:11.630899Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.20820","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":"2026-07-05T09:27:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2YfFBiBQ8taGGOXQE6AYzNIpo4BpBMd+qx7U9PV1lj7rNEjFYV0djr/9hXy7FutZALePy/TsFEPtWCdC5A74Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T06:03:17.020541Z"},"content_sha256":"08198bd62e81166af4abdf257b7ee53baf549b648c0fa93aa4d3818247d691a2","schema_version":"1.0","event_id":"sha256:08198bd62e81166af4abdf257b7ee53baf549b648c0fa93aa4d3818247d691a2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:MGK3SAHZP7J6RE37JD2S5EXWUU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Temporal Streaming Batch Principal Component Analysis for Time Series Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.LG","authors_text":"Enshuo Yan, Huachuan Wang, Weihao Xia","submitted_at":"2024-10-28T08:11:17Z","abstract_excerpt":"In multivariate time series classification, although current sequence analysis models have excellent classification capabilities, they show significant shortcomings when dealing with long sequence multivariate data, such as prolonged training times and decreased accuracy. This paper focuses on optimizing model performance for long-sequence multivariate data by mitigating the impact of extended time series and multiple variables on the model. We propose a principal component analysis (PCA)-based temporal streaming compression and dimensionality reduction algorithm for time series data (temporal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.20820","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/2410.20820/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":"2026-07-05T09:27:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fZNipWHSQ7SxAXno4/0cSecXOCd9nW+JoScOp1+CTtTS05IJCgY4jfIGX+waKwf/uc6TkQm2AZPvJJGYEG58DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T06:03:17.020913Z"},"content_sha256":"0b77e35788bc9a7e0ac65249a99e2b3be025c92f880999c4a5938cbafb7cf494","schema_version":"1.0","event_id":"sha256:0b77e35788bc9a7e0ac65249a99e2b3be025c92f880999c4a5938cbafb7cf494"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MGK3SAHZP7J6RE37JD2S5EXWUU/bundle.json","state_url":"https://pith.science/pith/MGK3SAHZP7J6RE37JD2S5EXWUU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MGK3SAHZP7J6RE37JD2S5EXWUU/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":"2026-07-09T06:03:17Z","links":{"resolver":"https://pith.science/pith/MGK3SAHZP7J6RE37JD2S5EXWUU","bundle":"https://pith.science/pith/MGK3SAHZP7J6RE37JD2S5EXWUU/bundle.json","state":"https://pith.science/pith/MGK3SAHZP7J6RE37JD2S5EXWUU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MGK3SAHZP7J6RE37JD2S5EXWUU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MGK3SAHZP7J6RE37JD2S5EXWUU","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":"5cb962eaf1a8b2fa7bded21231b35f9c8ef709d5182689641ce75a17d969ed3b","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-28T08:11:17Z","title_canon_sha256":"3e378190255eb06ea06fac99a70e96aaf9f88c43bd12b58af9af3847b325b53b"},"schema_version":"1.0","source":{"id":"2410.20820","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.20820","created_at":"2026-07-05T09:27:11Z"},{"alias_kind":"arxiv_version","alias_value":"2410.20820v1","created_at":"2026-07-05T09:27:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.20820","created_at":"2026-07-05T09:27:11Z"},{"alias_kind":"pith_short_12","alias_value":"MGK3SAHZP7J6","created_at":"2026-07-05T09:27:11Z"},{"alias_kind":"pith_short_16","alias_value":"MGK3SAHZP7J6RE37","created_at":"2026-07-05T09:27:11Z"},{"alias_kind":"pith_short_8","alias_value":"MGK3SAHZ","created_at":"2026-07-05T09:27:11Z"}],"graph_snapshots":[{"event_id":"sha256:0b77e35788bc9a7e0ac65249a99e2b3be025c92f880999c4a5938cbafb7cf494","target":"graph","created_at":"2026-07-05T09:27:11Z","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/2410.20820/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In multivariate time series classification, although current sequence analysis models have excellent classification capabilities, they show significant shortcomings when dealing with long sequence multivariate data, such as prolonged training times and decreased accuracy. This paper focuses on optimizing model performance for long-sequence multivariate data by mitigating the impact of extended time series and multiple variables on the model. We propose a principal component analysis (PCA)-based temporal streaming compression and dimensionality reduction algorithm for time series data (temporal","authors_text":"Enshuo Yan, Huachuan Wang, Weihao Xia","cross_cats":["cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-28T08:11:17Z","title":"Temporal Streaming Batch Principal Component Analysis for Time Series Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.20820","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":"sha256:08198bd62e81166af4abdf257b7ee53baf549b648c0fa93aa4d3818247d691a2","target":"record","created_at":"2026-07-05T09:27:11Z","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":"5cb962eaf1a8b2fa7bded21231b35f9c8ef709d5182689641ce75a17d969ed3b","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-28T08:11:17Z","title_canon_sha256":"3e378190255eb06ea06fac99a70e96aaf9f88c43bd12b58af9af3847b325b53b"},"schema_version":"1.0","source":{"id":"2410.20820","kind":"arxiv","version":1}},"canonical_sha256":"6195b900f97fd3e8937f48f52e92f6a5131daf0a8d2709e61f6a33e85c8415cc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6195b900f97fd3e8937f48f52e92f6a5131daf0a8d2709e61f6a33e85c8415cc","first_computed_at":"2026-07-05T09:27:11.630899Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:27:11.630899Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZHD0/ErBT8MI/+lfw97I4vchriLTCJK4l/EVPe22yHjqrUwgYTWYppG9lDBb25HkH06RqBxHh03a7FrfT/SgAw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:27:11.631362Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.20820","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:08198bd62e81166af4abdf257b7ee53baf549b648c0fa93aa4d3818247d691a2","sha256:0b77e35788bc9a7e0ac65249a99e2b3be025c92f880999c4a5938cbafb7cf494"],"state_sha256":"1ce9883ae7d929b9af50a0a0a69a730b247462401ee0d41c49c922d5b7d34d9e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rz+4oWbazMsOrAjqW5wTDyc9Ya7k2UCbRmRP07Szvdii25+GJrowHUqdrVEoTFcA3AQWVAVt0yW+XR+mQBWFCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T06:03:17.023006Z","bundle_sha256":"b7a019b8d40bfb05147a8ebd1798257619458756fd63a8e10485da6dd8cf5d39"}}