{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2010:EHZPSUBV25RI4C56TDAYAN5A56","short_pith_number":"pith:EHZPSUBV","canonical_record":{"source":{"id":"1012.2789","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2010-12-09T19:43:53Z","cross_cats_sorted":[],"title_canon_sha256":"ddedb7df5f3f5341fe460a193bcf263bff16af1dd473d21dec06b53667df8256","abstract_canon_sha256":"1b2fa536aa48a2cb0e23b5af6587fbf8c90023db2777f79d9358e90dfccc39f8"},"schema_version":"1.0"},"canonical_sha256":"21f2f95035d7628e0bbe98c18037a0efa9c82f9a308ac088e25aa6e83fc526bf","source":{"kind":"arxiv","id":"1012.2789","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1012.2789","created_at":"2026-05-18T02:23:07Z"},{"alias_kind":"arxiv_version","alias_value":"1012.2789v1","created_at":"2026-05-18T02:23:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1012.2789","created_at":"2026-05-18T02:23:07Z"},{"alias_kind":"pith_short_12","alias_value":"EHZPSUBV25RI","created_at":"2026-05-18T12:26:06Z"},{"alias_kind":"pith_short_16","alias_value":"EHZPSUBV25RI4C56","created_at":"2026-05-18T12:26:06Z"},{"alias_kind":"pith_short_8","alias_value":"EHZPSUBV","created_at":"2026-05-18T12:26:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2010:EHZPSUBV25RI4C56TDAYAN5A56","target":"record","payload":{"canonical_record":{"source":{"id":"1012.2789","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2010-12-09T19:43:53Z","cross_cats_sorted":[],"title_canon_sha256":"ddedb7df5f3f5341fe460a193bcf263bff16af1dd473d21dec06b53667df8256","abstract_canon_sha256":"1b2fa536aa48a2cb0e23b5af6587fbf8c90023db2777f79d9358e90dfccc39f8"},"schema_version":"1.0"},"canonical_sha256":"21f2f95035d7628e0bbe98c18037a0efa9c82f9a308ac088e25aa6e83fc526bf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:23:07.344283Z","signature_b64":"rWjyFdQnLvCMEH3w34SpYiKOf0A7rWQT7DvH4dnJatBF0pr+4XWmcqVV9bKkrPqX8/QpDoV2SIT9SlIeMcdqBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"21f2f95035d7628e0bbe98c18037a0efa9c82f9a308ac088e25aa6e83fc526bf","last_reissued_at":"2026-05-18T02:23:07.343674Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:23:07.343674Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1012.2789","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":"2026-05-18T02:23:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9mmhlFJEc/13SiIoxJUoZ1W/GaHbgg8EKED1Ew4fO6BaIJW66I7h6oU1kYnFzgjeIzc8xHXOxK55C3El7sHTBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T08:43:33.470437Z"},"content_sha256":"f7b52a275e141b3d6aebddb54d8f0b97bab7dc244bda9bf6834d7dbdca2fc4f7","schema_version":"1.0","event_id":"sha256:f7b52a275e141b3d6aebddb54d8f0b97bab7dc244bda9bf6834d7dbdca2fc4f7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2010:EHZPSUBV25RI4C56TDAYAN5A56","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Experimental Comparison of Representation Methods and Distance Measures for Time Series Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Eamonn Keogh, Goce Trajcevski, Hui Ding, Peter Scheuermann, Xiaoyue Wang","submitted_at":"2010-12-09T19:43:53Z","abstract_excerpt":"The previous decade has brought a remarkable increase of the interest in applications that deal with querying and mining of time series data. Many of the research efforts in this context have focused on introducing new representation methods for dimensionality reduction or novel similarity measures for the underlying data. In the vast majority of cases, each individual work introducing a particular method has made specific claims and, aside from the occasional theoretical justifications, provided quantitative experimental observations. However, for the most part, the comparative aspects of the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1012.2789","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":""},"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":"2026-05-18T02:23:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CmcHObXg2CdERZpWz3xV3l1od5OR0HxWE62A5RP0yuRb8l/nF6N15hgk+b2n2mQjOiM29WKL2oIQFQhiIjosCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T08:43:33.470778Z"},"content_sha256":"b650c5c8cdce27fa4b539667a247903c3b6bcc43970202a018e076651297ddb5","schema_version":"1.0","event_id":"sha256:b650c5c8cdce27fa4b539667a247903c3b6bcc43970202a018e076651297ddb5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EHZPSUBV25RI4C56TDAYAN5A56/bundle.json","state_url":"https://pith.science/pith/EHZPSUBV25RI4C56TDAYAN5A56/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EHZPSUBV25RI4C56TDAYAN5A56/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":"2026-05-28T08:43:33Z","links":{"resolver":"https://pith.science/pith/EHZPSUBV25RI4C56TDAYAN5A56","bundle":"https://pith.science/pith/EHZPSUBV25RI4C56TDAYAN5A56/bundle.json","state":"https://pith.science/pith/EHZPSUBV25RI4C56TDAYAN5A56/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EHZPSUBV25RI4C56TDAYAN5A56/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2010:EHZPSUBV25RI4C56TDAYAN5A56","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":"1b2fa536aa48a2cb0e23b5af6587fbf8c90023db2777f79d9358e90dfccc39f8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2010-12-09T19:43:53Z","title_canon_sha256":"ddedb7df5f3f5341fe460a193bcf263bff16af1dd473d21dec06b53667df8256"},"schema_version":"1.0","source":{"id":"1012.2789","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1012.2789","created_at":"2026-05-18T02:23:07Z"},{"alias_kind":"arxiv_version","alias_value":"1012.2789v1","created_at":"2026-05-18T02:23:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1012.2789","created_at":"2026-05-18T02:23:07Z"},{"alias_kind":"pith_short_12","alias_value":"EHZPSUBV25RI","created_at":"2026-05-18T12:26:06Z"},{"alias_kind":"pith_short_16","alias_value":"EHZPSUBV25RI4C56","created_at":"2026-05-18T12:26:06Z"},{"alias_kind":"pith_short_8","alias_value":"EHZPSUBV","created_at":"2026-05-18T12:26:06Z"}],"graph_snapshots":[{"event_id":"sha256:b650c5c8cdce27fa4b539667a247903c3b6bcc43970202a018e076651297ddb5","target":"graph","created_at":"2026-05-18T02:23:07Z","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":"The previous decade has brought a remarkable increase of the interest in applications that deal with querying and mining of time series data. Many of the research efforts in this context have focused on introducing new representation methods for dimensionality reduction or novel similarity measures for the underlying data. In the vast majority of cases, each individual work introducing a particular method has made specific claims and, aside from the occasional theoretical justifications, provided quantitative experimental observations. However, for the most part, the comparative aspects of the","authors_text":"Eamonn Keogh, Goce Trajcevski, Hui Ding, Peter Scheuermann, Xiaoyue Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2010-12-09T19:43:53Z","title":"Experimental Comparison of Representation Methods and Distance Measures for Time Series Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1012.2789","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:f7b52a275e141b3d6aebddb54d8f0b97bab7dc244bda9bf6834d7dbdca2fc4f7","target":"record","created_at":"2026-05-18T02:23:07Z","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":"1b2fa536aa48a2cb0e23b5af6587fbf8c90023db2777f79d9358e90dfccc39f8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2010-12-09T19:43:53Z","title_canon_sha256":"ddedb7df5f3f5341fe460a193bcf263bff16af1dd473d21dec06b53667df8256"},"schema_version":"1.0","source":{"id":"1012.2789","kind":"arxiv","version":1}},"canonical_sha256":"21f2f95035d7628e0bbe98c18037a0efa9c82f9a308ac088e25aa6e83fc526bf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"21f2f95035d7628e0bbe98c18037a0efa9c82f9a308ac088e25aa6e83fc526bf","first_computed_at":"2026-05-18T02:23:07.343674Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:23:07.343674Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rWjyFdQnLvCMEH3w34SpYiKOf0A7rWQT7DvH4dnJatBF0pr+4XWmcqVV9bKkrPqX8/QpDoV2SIT9SlIeMcdqBA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:23:07.344283Z","signed_message":"canonical_sha256_bytes"},"source_id":"1012.2789","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f7b52a275e141b3d6aebddb54d8f0b97bab7dc244bda9bf6834d7dbdca2fc4f7","sha256:b650c5c8cdce27fa4b539667a247903c3b6bcc43970202a018e076651297ddb5"],"state_sha256":"4ecba1e2336505bc8576d62f05dd413da99bdc6b75cb15e67fa9b3b4cf8b97fd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xsl0wQk9pxW2i4Fz2bEGvstdFxugOZNbuZGOdws9N3PrjXU/itIOMZTNRUYt2iylXOqigtKp+HC9X9lxhb0cCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T08:43:33.472735Z","bundle_sha256":"f707059443ac013f6ce8fca7b17a32afbb501aacd7167b3b158d709011820968"}}