{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:WQ4V7NPFV64OUZNO5PBGREBJDW","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":"ebc85e4aceef41f53e006159490e649664d5a724465524c26c2400feb8fa41e7","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2019-02-22T12:33:38Z","title_canon_sha256":"1344255867d424358578a4f239c94b363d3cbfee7471f95a858839653aac5575"},"schema_version":"1.0","source":{"id":"1902.10525","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.10525","created_at":"2026-07-05T00:35:25Z"},{"alias_kind":"arxiv_version","alias_value":"1902.10525v2","created_at":"2026-07-05T00:35:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.10525","created_at":"2026-07-05T00:35:25Z"},{"alias_kind":"pith_short_12","alias_value":"WQ4V7NPFV64O","created_at":"2026-07-05T00:35:25Z"},{"alias_kind":"pith_short_16","alias_value":"WQ4V7NPFV64OUZNO","created_at":"2026-07-05T00:35:25Z"},{"alias_kind":"pith_short_8","alias_value":"WQ4V7NPF","created_at":"2026-07-05T00:35:25Z"}],"graph_snapshots":[{"event_id":"sha256:544b2a59ace937ac3b3c7ea0ac1eef2ea2e6e2cbab4c428a8d66e65dacad3703","target":"graph","created_at":"2026-07-05T00:35:25Z","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/1902.10525/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We describe an online handwriting system that is able to support 102 languages using a deep neural network architecture. This new system has completely replaced our previous Segment-and-Decode-based system and reduced the error rate by 20%-40% relative for most languages. Further, we report new state-of-the-art results on IAM-OnDB for both the open and closed dataset setting. The system combines methods from sequence recognition with a new input encoding using B\\'ezier curves. This leads to up to 10x faster recognition times compared to our previous system. Through a series of experiments we d","authors_text":"Alexander Daryin, Daniel Keysers, Henry A. Rowley, Li-Lun Wang, Marcos Calvo, Pedro Gonnet, Philippe Gervais, Sandro Feuz, Thomas Deselaers, Victor Carbune","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2019-02-22T12:33:38Z","title":"Fast Multi-language LSTM-based Online Handwriting Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.10525","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":"sha256:1a09a54760dc0970eb409531ce99043f7514040edd64ff262f5e4a7e480fde8b","target":"record","created_at":"2026-07-05T00:35:25Z","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":"ebc85e4aceef41f53e006159490e649664d5a724465524c26c2400feb8fa41e7","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2019-02-22T12:33:38Z","title_canon_sha256":"1344255867d424358578a4f239c94b363d3cbfee7471f95a858839653aac5575"},"schema_version":"1.0","source":{"id":"1902.10525","kind":"arxiv","version":2}},"canonical_sha256":"b4395fb5e5afb8ea65aeebc26890291dbcc026770a42f2ba6fb9092cddbe6e60","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b4395fb5e5afb8ea65aeebc26890291dbcc026770a42f2ba6fb9092cddbe6e60","first_computed_at":"2026-07-05T00:35:25.329042Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:35:25.329042Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WcxflA+x7JlkTyO+NiJK17hVWr5/OtwoxGNlYKfPomDwIww9kZpeiDafoqeYBhORL8tMvsyL2kUBS+I/7OcvDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:35:25.329528Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.10525","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1a09a54760dc0970eb409531ce99043f7514040edd64ff262f5e4a7e480fde8b","sha256:544b2a59ace937ac3b3c7ea0ac1eef2ea2e6e2cbab4c428a8d66e65dacad3703"],"state_sha256":"03afb1297fcd687efc15db224918c58df44363678e60978ae51d34661e9b14e0"}