{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:SRN4YHSQNCBMJSOA44YDLVZNCA","short_pith_number":"pith:SRN4YHSQ","canonical_record":{"source":{"id":"2502.06100","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-10T02:12:24Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"061f8b361f6ce75e98063ec32913aad2e07dc7ac6ab99e2c873699f9046f3b0d","abstract_canon_sha256":"d951a89019f94e1ab58497c8a5dce711ec84d35f79205158002d95cb11500003"},"schema_version":"1.0"},"canonical_sha256":"945bcc1e506882c4c9c0e73035d72d1010e80814ae7c8f70e8f4647c909e867b","source":{"kind":"arxiv","id":"2502.06100","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.06100","created_at":"2026-07-05T10:11:47Z"},{"alias_kind":"arxiv_version","alias_value":"2502.06100v1","created_at":"2026-07-05T10:11:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.06100","created_at":"2026-07-05T10:11:47Z"},{"alias_kind":"pith_short_12","alias_value":"SRN4YHSQNCBM","created_at":"2026-07-05T10:11:47Z"},{"alias_kind":"pith_short_16","alias_value":"SRN4YHSQNCBMJSOA","created_at":"2026-07-05T10:11:47Z"},{"alias_kind":"pith_short_8","alias_value":"SRN4YHSQ","created_at":"2026-07-05T10:11:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:SRN4YHSQNCBMJSOA44YDLVZNCA","target":"record","payload":{"canonical_record":{"source":{"id":"2502.06100","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-10T02:12:24Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"061f8b361f6ce75e98063ec32913aad2e07dc7ac6ab99e2c873699f9046f3b0d","abstract_canon_sha256":"d951a89019f94e1ab58497c8a5dce711ec84d35f79205158002d95cb11500003"},"schema_version":"1.0"},"canonical_sha256":"945bcc1e506882c4c9c0e73035d72d1010e80814ae7c8f70e8f4647c909e867b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:11:47.797913Z","signature_b64":"rSNg0JNZwddqRfAF/oUnVWZV1Vg9LLO+3yb2AqGVcuKMx8CF+UrzoB87rwnfXJAJWKkxYdKKk/oHb3479lZiBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"945bcc1e506882c4c9c0e73035d72d1010e80814ae7c8f70e8f4647c909e867b","last_reissued_at":"2026-07-05T10:11:47.797449Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:11:47.797449Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.06100","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":"2026-07-05T10:11:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8GB1DycxCjMv0wW/XLp2DiYW+A8mUrESqyLxP1bOc+36976LCWKZRq+9obQ2cletDFdfKhrNpdeRuGnnAi2kBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T10:25:49.690310Z"},"content_sha256":"8e2e57f6d447a9f609651480e87b1d8a88c2b05be23953e26703e167675ccba8","schema_version":"1.0","event_id":"sha256:8e2e57f6d447a9f609651480e87b1d8a88c2b05be23953e26703e167675ccba8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:SRN4YHSQNCBMJSOA44YDLVZNCA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Col-OLHTR: A Novel Framework for Multimodal Online Handwritten Text Recognition","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"cs.CV","authors_text":"Baocai Yin, Bing Yin, Chenyu Liu, Jia Pan, Jinshui Hu, Jun Du, Qingfeng Liu","submitted_at":"2025-02-10T02:12:24Z","abstract_excerpt":"Online Handwritten Text Recognition (OLHTR) has gained considerable attention for its diverse range of applications. Current approaches usually treat OLHTR as a sequence recognition task, employing either a single trajectory or image encoder, or multi-stream encoders, combined with a CTC or attention-based recognition decoder. However, these approaches face several drawbacks: 1) single encoders typically focus on either local trajectories or visual regions, lacking the ability to dynamically capture relevant global features in challenging cases; 2) multi-stream encoders, while more comprehensi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.06100","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2502.06100/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":"2026-07-05T10:11:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z3+EsP4GMFgXEXdfVTOONpMQOR2EcGIw3lm6yHMPP3Qpm70RRdbISpMA7HNnQQI4K0xF7BMEqgiNUiZqfEKuAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T10:25:49.691382Z"},"content_sha256":"cdf28c24e38b262d874e89ea32dcfb8cf919c5c3e84609e510cd59d95056201b","schema_version":"1.0","event_id":"sha256:cdf28c24e38b262d874e89ea32dcfb8cf919c5c3e84609e510cd59d95056201b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SRN4YHSQNCBMJSOA44YDLVZNCA/bundle.json","state_url":"https://pith.science/pith/SRN4YHSQNCBMJSOA44YDLVZNCA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SRN4YHSQNCBMJSOA44YDLVZNCA/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":"2026-08-11T10:25:49Z","links":{"resolver":"https://pith.science/pith/SRN4YHSQNCBMJSOA44YDLVZNCA","bundle":"https://pith.science/pith/SRN4YHSQNCBMJSOA44YDLVZNCA/bundle.json","state":"https://pith.science/pith/SRN4YHSQNCBMJSOA44YDLVZNCA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SRN4YHSQNCBMJSOA44YDLVZNCA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SRN4YHSQNCBMJSOA44YDLVZNCA","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":"d951a89019f94e1ab58497c8a5dce711ec84d35f79205158002d95cb11500003","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-10T02:12:24Z","title_canon_sha256":"061f8b361f6ce75e98063ec32913aad2e07dc7ac6ab99e2c873699f9046f3b0d"},"schema_version":"1.0","source":{"id":"2502.06100","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.06100","created_at":"2026-07-05T10:11:47Z"},{"alias_kind":"arxiv_version","alias_value":"2502.06100v1","created_at":"2026-07-05T10:11:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.06100","created_at":"2026-07-05T10:11:47Z"},{"alias_kind":"pith_short_12","alias_value":"SRN4YHSQNCBM","created_at":"2026-07-05T10:11:47Z"},{"alias_kind":"pith_short_16","alias_value":"SRN4YHSQNCBMJSOA","created_at":"2026-07-05T10:11:47Z"},{"alias_kind":"pith_short_8","alias_value":"SRN4YHSQ","created_at":"2026-07-05T10:11:47Z"}],"graph_snapshots":[{"event_id":"sha256:cdf28c24e38b262d874e89ea32dcfb8cf919c5c3e84609e510cd59d95056201b","target":"graph","created_at":"2026-07-05T10:11:47Z","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/2502.06100/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Online Handwritten Text Recognition (OLHTR) has gained considerable attention for its diverse range of applications. Current approaches usually treat OLHTR as a sequence recognition task, employing either a single trajectory or image encoder, or multi-stream encoders, combined with a CTC or attention-based recognition decoder. However, these approaches face several drawbacks: 1) single encoders typically focus on either local trajectories or visual regions, lacking the ability to dynamically capture relevant global features in challenging cases; 2) multi-stream encoders, while more comprehensi","authors_text":"Baocai Yin, Bing Yin, Chenyu Liu, Jia Pan, Jinshui Hu, Jun Du, Qingfeng Liu","cross_cats":["eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-10T02:12:24Z","title":"Col-OLHTR: A Novel Framework for Multimodal Online Handwritten Text Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.06100","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":"sha256:8e2e57f6d447a9f609651480e87b1d8a88c2b05be23953e26703e167675ccba8","target":"record","created_at":"2026-07-05T10:11:47Z","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":"d951a89019f94e1ab58497c8a5dce711ec84d35f79205158002d95cb11500003","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-10T02:12:24Z","title_canon_sha256":"061f8b361f6ce75e98063ec32913aad2e07dc7ac6ab99e2c873699f9046f3b0d"},"schema_version":"1.0","source":{"id":"2502.06100","kind":"arxiv","version":1}},"canonical_sha256":"945bcc1e506882c4c9c0e73035d72d1010e80814ae7c8f70e8f4647c909e867b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"945bcc1e506882c4c9c0e73035d72d1010e80814ae7c8f70e8f4647c909e867b","first_computed_at":"2026-07-05T10:11:47.797449Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:11:47.797449Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rSNg0JNZwddqRfAF/oUnVWZV1Vg9LLO+3yb2AqGVcuKMx8CF+UrzoB87rwnfXJAJWKkxYdKKk/oHb3479lZiBg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:11:47.797913Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.06100","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8e2e57f6d447a9f609651480e87b1d8a88c2b05be23953e26703e167675ccba8","sha256:cdf28c24e38b262d874e89ea32dcfb8cf919c5c3e84609e510cd59d95056201b"],"state_sha256":"ebd6876c06d5d16b369e8bb466028f939ae3936a6a8eaa026d1b0fab60cbc785"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dub49F54PVJu+irYpKGCEJUEdFvlm8jpa5EZj+7RGqzbCX4vKYciI0owLFoZbezbMdG+WLArolT7+Xjxyn6VCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T10:25:49.699446Z","bundle_sha256":"3d08b1c5cf7c1fd047e0fbd6e225c8b255e911074f5ba32fa82ee84092d6a927"}}