{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:BAVTPYLCPFPICLQKPCXIV7T7VF","short_pith_number":"pith:BAVTPYLC","canonical_record":{"source":{"id":"1401.3531","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-01-15T09:41:50Z","cross_cats_sorted":["cs.AI","cs.DB","physics.data-an","q-bio.QM"],"title_canon_sha256":"dc6f4c7c22fc8cce72e2917608b0a40d9f2be16cceb00023c88fa1d39c763b1e","abstract_canon_sha256":"2f81093fc99ae975ed57673d968ff20ec20c1e0ec41f1c4711dbd985e0e44830"},"schema_version":"1.0"},"canonical_sha256":"082b37e162795e812e0a78ae8afe7fa94f9fc51c0ddd367e6481bbf882d8d8e3","source":{"kind":"arxiv","id":"1401.3531","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1401.3531","created_at":"2026-05-18T00:31:00Z"},{"alias_kind":"arxiv_version","alias_value":"1401.3531v2","created_at":"2026-05-18T00:31:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1401.3531","created_at":"2026-05-18T00:31:00Z"},{"alias_kind":"pith_short_12","alias_value":"BAVTPYLCPFPI","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_16","alias_value":"BAVTPYLCPFPICLQK","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_8","alias_value":"BAVTPYLC","created_at":"2026-05-18T12:28:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:BAVTPYLCPFPICLQKPCXIV7T7VF","target":"record","payload":{"canonical_record":{"source":{"id":"1401.3531","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-01-15T09:41:50Z","cross_cats_sorted":["cs.AI","cs.DB","physics.data-an","q-bio.QM"],"title_canon_sha256":"dc6f4c7c22fc8cce72e2917608b0a40d9f2be16cceb00023c88fa1d39c763b1e","abstract_canon_sha256":"2f81093fc99ae975ed57673d968ff20ec20c1e0ec41f1c4711dbd985e0e44830"},"schema_version":"1.0"},"canonical_sha256":"082b37e162795e812e0a78ae8afe7fa94f9fc51c0ddd367e6481bbf882d8d8e3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:31:00.707782Z","signature_b64":"tmu42fHNcBLA1pio6Gozyh1oEbF+tkRrOBY1MWRaXeMHuMsdc1gEkpgCfLxmAqzH2tXAsGC3rAS/6ScUgtYMCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"082b37e162795e812e0a78ae8afe7fa94f9fc51c0ddd367e6481bbf882d8d8e3","last_reissued_at":"2026-05-18T00:31:00.707213Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:31:00.707213Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1401.3531","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":"2026-05-18T00:31:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uQz7VCGJAB83cT6wUhsRPL8dIFRpPzOxnjnrUZGJsbTe+Ax1rTm5d8WMXysX6ErmfFe2ers684vP9kaUzkCRCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T23:18:31.441086Z"},"content_sha256":"eaaac1bfc195869357195165e426d97695f07b2d1c5f49976a6f49737a05847f","schema_version":"1.0","event_id":"sha256:eaaac1bfc195869357195165e426d97695f07b2d1c5f49976a6f49737a05847f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:BAVTPYLCPFPICLQKPCXIV7T7VF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Highly comparative feature-based time-series classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.DB","physics.data-an","q-bio.QM"],"primary_cat":"cs.LG","authors_text":"Ben D. Fulcher, Nick S. Jones","submitted_at":"2014-01-15T09:41:50Z","abstract_excerpt":"A highly comparative, feature-based approach to time series classification is introduced that uses an extensive database of algorithms to extract thousands of interpretable features from time series. These features are derived from across the scientific time-series analysis literature, and include summaries of time series in terms of their correlation structure, distribution, entropy, stationarity, scaling properties, and fits to a range of time-series models. After computing thousands of features for each time series in a training set, those that are most informative of the class structure ar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1401.3531","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":""},"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":"2026-05-18T00:31:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dneSIPztnBmrioKsor0PqUEtSzutk2X3dvW29/wn0lkwm2I/q4dpo19VoLSOw2iwLBizuz1t39bHvW/qskH3CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T23:18:31.441772Z"},"content_sha256":"453d171b6d65f634b23edb8e0e959de641cf828ca801ab5a91e2e264bbe9d09a","schema_version":"1.0","event_id":"sha256:453d171b6d65f634b23edb8e0e959de641cf828ca801ab5a91e2e264bbe9d09a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BAVTPYLCPFPICLQKPCXIV7T7VF/bundle.json","state_url":"https://pith.science/pith/BAVTPYLCPFPICLQKPCXIV7T7VF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BAVTPYLCPFPICLQKPCXIV7T7VF/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":"2026-06-06T23:18:31Z","links":{"resolver":"https://pith.science/pith/BAVTPYLCPFPICLQKPCXIV7T7VF","bundle":"https://pith.science/pith/BAVTPYLCPFPICLQKPCXIV7T7VF/bundle.json","state":"https://pith.science/pith/BAVTPYLCPFPICLQKPCXIV7T7VF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BAVTPYLCPFPICLQKPCXIV7T7VF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:BAVTPYLCPFPICLQKPCXIV7T7VF","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":"2f81093fc99ae975ed57673d968ff20ec20c1e0ec41f1c4711dbd985e0e44830","cross_cats_sorted":["cs.AI","cs.DB","physics.data-an","q-bio.QM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-01-15T09:41:50Z","title_canon_sha256":"dc6f4c7c22fc8cce72e2917608b0a40d9f2be16cceb00023c88fa1d39c763b1e"},"schema_version":"1.0","source":{"id":"1401.3531","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1401.3531","created_at":"2026-05-18T00:31:00Z"},{"alias_kind":"arxiv_version","alias_value":"1401.3531v2","created_at":"2026-05-18T00:31:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1401.3531","created_at":"2026-05-18T00:31:00Z"},{"alias_kind":"pith_short_12","alias_value":"BAVTPYLCPFPI","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_16","alias_value":"BAVTPYLCPFPICLQK","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_8","alias_value":"BAVTPYLC","created_at":"2026-05-18T12:28:22Z"}],"graph_snapshots":[{"event_id":"sha256:453d171b6d65f634b23edb8e0e959de641cf828ca801ab5a91e2e264bbe9d09a","target":"graph","created_at":"2026-05-18T00:31:00Z","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":"A highly comparative, feature-based approach to time series classification is introduced that uses an extensive database of algorithms to extract thousands of interpretable features from time series. These features are derived from across the scientific time-series analysis literature, and include summaries of time series in terms of their correlation structure, distribution, entropy, stationarity, scaling properties, and fits to a range of time-series models. After computing thousands of features for each time series in a training set, those that are most informative of the class structure ar","authors_text":"Ben D. Fulcher, Nick S. Jones","cross_cats":["cs.AI","cs.DB","physics.data-an","q-bio.QM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-01-15T09:41:50Z","title":"Highly comparative feature-based time-series classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1401.3531","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:eaaac1bfc195869357195165e426d97695f07b2d1c5f49976a6f49737a05847f","target":"record","created_at":"2026-05-18T00:31:00Z","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":"2f81093fc99ae975ed57673d968ff20ec20c1e0ec41f1c4711dbd985e0e44830","cross_cats_sorted":["cs.AI","cs.DB","physics.data-an","q-bio.QM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-01-15T09:41:50Z","title_canon_sha256":"dc6f4c7c22fc8cce72e2917608b0a40d9f2be16cceb00023c88fa1d39c763b1e"},"schema_version":"1.0","source":{"id":"1401.3531","kind":"arxiv","version":2}},"canonical_sha256":"082b37e162795e812e0a78ae8afe7fa94f9fc51c0ddd367e6481bbf882d8d8e3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"082b37e162795e812e0a78ae8afe7fa94f9fc51c0ddd367e6481bbf882d8d8e3","first_computed_at":"2026-05-18T00:31:00.707213Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:31:00.707213Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tmu42fHNcBLA1pio6Gozyh1oEbF+tkRrOBY1MWRaXeMHuMsdc1gEkpgCfLxmAqzH2tXAsGC3rAS/6ScUgtYMCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:31:00.707782Z","signed_message":"canonical_sha256_bytes"},"source_id":"1401.3531","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eaaac1bfc195869357195165e426d97695f07b2d1c5f49976a6f49737a05847f","sha256:453d171b6d65f634b23edb8e0e959de641cf828ca801ab5a91e2e264bbe9d09a"],"state_sha256":"2a1e32031e64b033968490d9b136d35231dbc0278cdbdbd98afc60b81545039e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9zxFBP7dQW7HiDU6zo60XhtOm7E8G4bEy+uNqNaCiV562TFg/+5mkOPZfhx8DPnTBVCmeOeDYG/YWy9HKut/BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T23:18:31.445712Z","bundle_sha256":"e4c6ea7af37ffe3232ce7163ac223c443e0e9a021859dacf95069bf67659fb4d"}}