{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:5RNVHSWOEAIDKL4F5365J6GPMU","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":"b79c521ffe0d1f9e97027c34e3139cb8d40ec716e65d1f7b9a430aac34a3d144","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-29T15:16:45Z","title_canon_sha256":"2681e007f849896484cbcdac87923e2f9d18ebcd267e2ad2d556b39ae924554a"},"schema_version":"1.0","source":{"id":"1803.11111","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.11111","created_at":"2026-05-18T00:19:48Z"},{"alias_kind":"arxiv_version","alias_value":"1803.11111v1","created_at":"2026-05-18T00:19:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.11111","created_at":"2026-05-18T00:19:48Z"},{"alias_kind":"pith_short_12","alias_value":"5RNVHSWOEAID","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"5RNVHSWOEAIDKL4F","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"5RNVHSWO","created_at":"2026-05-18T12:32:08Z"}],"graph_snapshots":[{"event_id":"sha256:e5254850b3f482371de189c4b4da3adcb2815291688c8caefcd6cc2dd8433f0a","target":"graph","created_at":"2026-05-18T00:19:48Z","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":"Time-Series Classification (TSC) has attracted a lot of attention in pattern recognition, because wide range of applications from different domains such as finance and health informatics deal with time-series signals. Bag of Features (BoF) model has achieved a great success in TSC task by summarizing signals according to the frequencies of \"feature words\" of a data-learned dictionary. This paper proposes embedding the Recurrence Plots (RP), a visualization technique for analysis of dynamic systems, in the BoF model for TSC. While the traditional BoF approach extracts features from 1D signal se","authors_text":"Johan Debayle, Nima Hatami, Yann Gavet","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-29T15:16:45Z","title":"Bag of Recurrence Patterns Representation for Time-Series Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.11111","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":"sha256:9de1c5ee0309311b2cb350086ad96ca2c4f0b944d2ab18080751fe85703dcaa2","target":"record","created_at":"2026-05-18T00:19:48Z","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":"b79c521ffe0d1f9e97027c34e3139cb8d40ec716e65d1f7b9a430aac34a3d144","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-29T15:16:45Z","title_canon_sha256":"2681e007f849896484cbcdac87923e2f9d18ebcd267e2ad2d556b39ae924554a"},"schema_version":"1.0","source":{"id":"1803.11111","kind":"arxiv","version":1}},"canonical_sha256":"ec5b53cace2010352f85eefdd4f8cf6524e6c92d12642deed04a68e1c24626c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ec5b53cace2010352f85eefdd4f8cf6524e6c92d12642deed04a68e1c24626c6","first_computed_at":"2026-05-18T00:19:48.490494Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:19:48.490494Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"P0RFRcPdcyLt7yea1wAdOrzokeDkY/Tqw01s/hxQFaPRyX7w1THlwPos9towKhE4bFKQhZAbu2wZ4FoKoJsOBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:19:48.491219Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.11111","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9de1c5ee0309311b2cb350086ad96ca2c4f0b944d2ab18080751fe85703dcaa2","sha256:e5254850b3f482371de189c4b4da3adcb2815291688c8caefcd6cc2dd8433f0a"],"state_sha256":"88eeacc2771d4be5d0e00d2b5ca2ac274ac72f380e17dccab4c04b33e7603a24"}