{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:YMBXOSGJKX2MEMM5TDIMM2UFBG","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":"0cb389f3379aaa14a8b3618acd31671a1a5aef4b6d70e051bbbcd86ddeaae62f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-07-26T10:10:34Z","title_canon_sha256":"07f2789ef50aa498c7fa7c5e552cd453bf506dffa6fcfd9ed7051430995ad7c1"},"schema_version":"1.0","source":{"id":"2107.12087","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.12087","created_at":"2026-07-05T03:01:25Z"},{"alias_kind":"arxiv_version","alias_value":"2107.12087v2","created_at":"2026-07-05T03:01:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.12087","created_at":"2026-07-05T03:01:25Z"},{"alias_kind":"pith_short_12","alias_value":"YMBXOSGJKX2M","created_at":"2026-07-05T03:01:25Z"},{"alias_kind":"pith_short_16","alias_value":"YMBXOSGJKX2MEMM5","created_at":"2026-07-05T03:01:25Z"},{"alias_kind":"pith_short_8","alias_value":"YMBXOSGJ","created_at":"2026-07-05T03:01:25Z"}],"graph_snapshots":[{"event_id":"sha256:b5feea71203133197cba7f146c8e0c2cd00adbc0c11accc70b5f3a7605d50bbf","target":"graph","created_at":"2026-07-05T03:01:25Z","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/2107.12087/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text recognition remains a fundamental and extensively researched topic in computer vision, largely owing to its wide array of commercial applications. The challenging nature of the very problem however dictated a fragmentation of research efforts: Scene Text Recognition (STR) that deals with text in everyday scenes, and Handwriting Text Recognition (HTR) that tackles hand-written text. In this paper, for the first time, we argue for their unification -- we aim for a single model that can compete favourably with two separate state-of-the-art STR and HTR models. We first show that cross-utilisa","authors_text":"Aneeshan Sain, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yi-Zhe Song","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-07-26T10:10:34Z","title":"Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.12087","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":"sha256:1dfbdb984218c77f358ad3de3855f659b6225489915db9802fd982aa57aa82bc","target":"record","created_at":"2026-07-05T03:01:25Z","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":"0cb389f3379aaa14a8b3618acd31671a1a5aef4b6d70e051bbbcd86ddeaae62f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-07-26T10:10:34Z","title_canon_sha256":"07f2789ef50aa498c7fa7c5e552cd453bf506dffa6fcfd9ed7051430995ad7c1"},"schema_version":"1.0","source":{"id":"2107.12087","kind":"arxiv","version":2}},"canonical_sha256":"c3037748c955f4c2319d98d0c66a85099a666147cb684b54ac25aa227c492220","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c3037748c955f4c2319d98d0c66a85099a666147cb684b54ac25aa227c492220","first_computed_at":"2026-07-05T03:01:25.296999Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:01:25.296999Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"14Rb8+qEqu/8S1Y3VFSDd0ZKGrMSmpDZyo0hxLCcKzSBYpg8hlBU/KN8LVmFViZPwTzQAvd+RhGDPtMgkzD5Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:01:25.297450Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.12087","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1dfbdb984218c77f358ad3de3855f659b6225489915db9802fd982aa57aa82bc","sha256:b5feea71203133197cba7f146c8e0c2cd00adbc0c11accc70b5f3a7605d50bbf"],"state_sha256":"5fce0c3a384e5c7bb10976e13ae77fba4c1528f4f92a6057beaabb07c520a1a7"}