{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:AFD7WNOOF23QCGLUETQHNSHNEZ","short_pith_number":"pith:AFD7WNOO","canonical_record":{"source":{"id":"2202.03140","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2022-01-09T11:06:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"34d095840fecfb5e68e542a4087d03d477caf5ae231b11a22935e292ba8795e6","abstract_canon_sha256":"d71c763f96d23d10889b7926e8b39dd836687365bec2152267ba0d537753b64f"},"schema_version":"1.0"},"canonical_sha256":"0147fb35ce2eb701197424e076c8ed2669c3eba3b29e3ccf9e69fc2ba615c21f","source":{"kind":"arxiv","id":"2202.03140","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.03140","created_at":"2026-07-05T03:55:32Z"},{"alias_kind":"arxiv_version","alias_value":"2202.03140v2","created_at":"2026-07-05T03:55:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.03140","created_at":"2026-07-05T03:55:32Z"},{"alias_kind":"pith_short_12","alias_value":"AFD7WNOOF23Q","created_at":"2026-07-05T03:55:32Z"},{"alias_kind":"pith_short_16","alias_value":"AFD7WNOOF23QCGLU","created_at":"2026-07-05T03:55:32Z"},{"alias_kind":"pith_short_8","alias_value":"AFD7WNOO","created_at":"2026-07-05T03:55:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:AFD7WNOOF23QCGLUETQHNSHNEZ","target":"record","payload":{"canonical_record":{"source":{"id":"2202.03140","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2022-01-09T11:06:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"34d095840fecfb5e68e542a4087d03d477caf5ae231b11a22935e292ba8795e6","abstract_canon_sha256":"d71c763f96d23d10889b7926e8b39dd836687365bec2152267ba0d537753b64f"},"schema_version":"1.0"},"canonical_sha256":"0147fb35ce2eb701197424e076c8ed2669c3eba3b29e3ccf9e69fc2ba615c21f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:55:32.784219Z","signature_b64":"lmUSt8/UOKxaCRnO90kt38dfJFgV1oAOHH9CiWh/20Y+BAUmNAD95TzZ+o6gLEZC/nZsV3n4Ulg0B5GjF4mIDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0147fb35ce2eb701197424e076c8ed2669c3eba3b29e3ccf9e69fc2ba615c21f","last_reissued_at":"2026-07-05T03:55:32.783630Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:55:32.783630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.03140","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":"2026-07-05T03:55:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PUfqksXyiGCxo/+vWQacDddburzx4pjYiwL71dpSbk4t2c41/t+qkWQu1xAAt/wCfZxCb3d1336In5Edz8gHBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:42:52.373371Z"},"content_sha256":"5531e05c147f54f9f03d37729fa5d277683c13bf36c9dc8642c6bac540eea49a","schema_version":"1.0","event_id":"sha256:5531e05c147f54f9f03d37729fa5d277683c13bf36c9dc8642c6bac540eea49a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:AFD7WNOOF23QCGLUETQHNSHNEZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OPP-Miner: Order-preserving sequential pattern mining","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.DB","authors_text":"Lei Guo, Qian Hu, Xindong Wu, Xingquan Zhu, Yan Li, Youxi Wu","submitted_at":"2022-01-09T11:06:26Z","abstract_excerpt":"A time series is a collection of measurements in chronological order. Discovering patterns from time series is useful in many domains, such as stock analysis, disease detection, and weather forecast. To discover patterns, existing methods often convert time series data into another form, such as nominal/symbolic format, to reduce dimensionality, which inevitably deviates the data values. Moreover, existing methods mainly neglect the order relationships between time series values. To tackle these issues, inspired by order-preserving matching, this paper proposes an Order-Preserving sequential P"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.03140","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2202.03140/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":"2026-07-05T03:55:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F27l75YM/8+1hkajZrEqa0TbQ3Idiho7CBilMJwbwsb5bmzQwNwjXxD8DQ+uNWg+6JmVILDjE7hjFUGJGUDjCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:42:52.373771Z"},"content_sha256":"13d97bc5aea07b3b2f1e2cb50befbbed64d61f0affdd4d03fe4e7e356e04c717","schema_version":"1.0","event_id":"sha256:13d97bc5aea07b3b2f1e2cb50befbbed64d61f0affdd4d03fe4e7e356e04c717"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AFD7WNOOF23QCGLUETQHNSHNEZ/bundle.json","state_url":"https://pith.science/pith/AFD7WNOOF23QCGLUETQHNSHNEZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AFD7WNOOF23QCGLUETQHNSHNEZ/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":"2026-07-09T05:42:52Z","links":{"resolver":"https://pith.science/pith/AFD7WNOOF23QCGLUETQHNSHNEZ","bundle":"https://pith.science/pith/AFD7WNOOF23QCGLUETQHNSHNEZ/bundle.json","state":"https://pith.science/pith/AFD7WNOOF23QCGLUETQHNSHNEZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AFD7WNOOF23QCGLUETQHNSHNEZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:AFD7WNOOF23QCGLUETQHNSHNEZ","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":"d71c763f96d23d10889b7926e8b39dd836687365bec2152267ba0d537753b64f","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2022-01-09T11:06:26Z","title_canon_sha256":"34d095840fecfb5e68e542a4087d03d477caf5ae231b11a22935e292ba8795e6"},"schema_version":"1.0","source":{"id":"2202.03140","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.03140","created_at":"2026-07-05T03:55:32Z"},{"alias_kind":"arxiv_version","alias_value":"2202.03140v2","created_at":"2026-07-05T03:55:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.03140","created_at":"2026-07-05T03:55:32Z"},{"alias_kind":"pith_short_12","alias_value":"AFD7WNOOF23Q","created_at":"2026-07-05T03:55:32Z"},{"alias_kind":"pith_short_16","alias_value":"AFD7WNOOF23QCGLU","created_at":"2026-07-05T03:55:32Z"},{"alias_kind":"pith_short_8","alias_value":"AFD7WNOO","created_at":"2026-07-05T03:55:32Z"}],"graph_snapshots":[{"event_id":"sha256:13d97bc5aea07b3b2f1e2cb50befbbed64d61f0affdd4d03fe4e7e356e04c717","target":"graph","created_at":"2026-07-05T03:55:32Z","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/2202.03140/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A time series is a collection of measurements in chronological order. Discovering patterns from time series is useful in many domains, such as stock analysis, disease detection, and weather forecast. To discover patterns, existing methods often convert time series data into another form, such as nominal/symbolic format, to reduce dimensionality, which inevitably deviates the data values. Moreover, existing methods mainly neglect the order relationships between time series values. To tackle these issues, inspired by order-preserving matching, this paper proposes an Order-Preserving sequential P","authors_text":"Lei Guo, Qian Hu, Xindong Wu, Xingquan Zhu, Yan Li, Youxi Wu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2022-01-09T11:06:26Z","title":"OPP-Miner: Order-preserving sequential pattern mining"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.03140","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":"sha256:5531e05c147f54f9f03d37729fa5d277683c13bf36c9dc8642c6bac540eea49a","target":"record","created_at":"2026-07-05T03:55:32Z","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":"d71c763f96d23d10889b7926e8b39dd836687365bec2152267ba0d537753b64f","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2022-01-09T11:06:26Z","title_canon_sha256":"34d095840fecfb5e68e542a4087d03d477caf5ae231b11a22935e292ba8795e6"},"schema_version":"1.0","source":{"id":"2202.03140","kind":"arxiv","version":2}},"canonical_sha256":"0147fb35ce2eb701197424e076c8ed2669c3eba3b29e3ccf9e69fc2ba615c21f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0147fb35ce2eb701197424e076c8ed2669c3eba3b29e3ccf9e69fc2ba615c21f","first_computed_at":"2026-07-05T03:55:32.783630Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:55:32.783630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lmUSt8/UOKxaCRnO90kt38dfJFgV1oAOHH9CiWh/20Y+BAUmNAD95TzZ+o6gLEZC/nZsV3n4Ulg0B5GjF4mIDg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:55:32.784219Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.03140","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5531e05c147f54f9f03d37729fa5d277683c13bf36c9dc8642c6bac540eea49a","sha256:13d97bc5aea07b3b2f1e2cb50befbbed64d61f0affdd4d03fe4e7e356e04c717"],"state_sha256":"35bae4c09f726f0699474cc31c81f028ae5f552a5d106d563b9f323cf5e66463"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9gfGoWL/R7jniBMickfO8HdPFFcPM5e0Lx9XJvN2Yam1+Qzblz9vVfbypyasfNEzwIIslKoibfkQJbYynbB+Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T05:42:52.376346Z","bundle_sha256":"688a8e09efcfbea98f530599b2e7cd5e4ee8e84360ce6775a7647530a06c7230"}}