{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:ER4X2XHGGJN6WM4D3LQ4ISE2Z5","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":"76f76758fda7e29e1d85cd982d0fb2b8c875a40092b900a5a87afffed3c871df","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-04T21:32:31Z","title_canon_sha256":"153a931a4f9ad73cf766bbaa95d8206a364ed6a1ff065146d76e7c8fb5b2c7c4"},"schema_version":"1.0","source":{"id":"1908.01403","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.01403","created_at":"2026-07-05T00:24:55Z"},{"alias_kind":"arxiv_version","alias_value":"1908.01403v3","created_at":"2026-07-05T00:24:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.01403","created_at":"2026-07-05T00:24:55Z"},{"alias_kind":"pith_short_12","alias_value":"ER4X2XHGGJN6","created_at":"2026-07-05T00:24:55Z"},{"alias_kind":"pith_short_16","alias_value":"ER4X2XHGGJN6WM4D","created_at":"2026-07-05T00:24:55Z"},{"alias_kind":"pith_short_8","alias_value":"ER4X2XHG","created_at":"2026-07-05T00:24:55Z"}],"graph_snapshots":[{"event_id":"sha256:23df5b852f7462bd75fe4921671d27cf31fd8aeae3ad4b77dc31ec4c849d0252","target":"graph","created_at":"2026-07-05T00:24:55Z","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/1908.01403/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"State-of-the-art text spotting systems typically aim to detect isolated words or word-by-word text in images of natural scenes and ignore the semantic coherence within a region of text. However, when interpreted together, seemingly isolated words may be easier to recognize. On this basis, we propose a novel \"semantic-based text recognition\" (STR) deep learning model that reads text in images with the help of understanding context. STR consists of several modules. We introduce the Text Grouping and Arranging (TGA) algorithm to connect and order isolated text regions. A text-recognition network ","authors_text":"Margrit Betke, Qitong Wang, Yi Zheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-04T21:32:31Z","title":"Deep Neural Network for Semantic-based Text Recognition in Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.01403","kind":"arxiv","version":3},"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":"sha256:878c72276797aa0b6823d6b0acc43a858068d20949fe2c0dedf3420e016aea5c","target":"record","created_at":"2026-07-05T00:24:55Z","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":"76f76758fda7e29e1d85cd982d0fb2b8c875a40092b900a5a87afffed3c871df","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-04T21:32:31Z","title_canon_sha256":"153a931a4f9ad73cf766bbaa95d8206a364ed6a1ff065146d76e7c8fb5b2c7c4"},"schema_version":"1.0","source":{"id":"1908.01403","kind":"arxiv","version":3}},"canonical_sha256":"24797d5ce6325beb3383dae1c4489acf5741f8e3e102455414defe62994aa65e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"24797d5ce6325beb3383dae1c4489acf5741f8e3e102455414defe62994aa65e","first_computed_at":"2026-07-05T00:24:55.535106Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:24:55.535106Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Is9l8LiXIvc7ilKudsvDxmujvJh62Op0QhEQS5qjz0gUDt6eWqEpIOM6t+5ueHH5GHyVS6tJrQHyWU5wQdVQDA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:24:55.535467Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.01403","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:878c72276797aa0b6823d6b0acc43a858068d20949fe2c0dedf3420e016aea5c","sha256:23df5b852f7462bd75fe4921671d27cf31fd8aeae3ad4b77dc31ec4c849d0252"],"state_sha256":"5e2d30bb38f4a2da1d80723a586d3f7726bb22789866ad1aef7f7534b2528fff"}