{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:M3OLNFCVVREX7T5KZ73IGIQTFX","short_pith_number":"pith:M3OLNFCV","schema_version":"1.0","canonical_sha256":"66dcb69455ac497fcfaacff68322132dea0b26683a604e01139874105d0828cb","source":{"kind":"arxiv","id":"1801.05367","version":1},"attestation_state":"computed","paper":{"title":"TexT - Text Extractor Tool for Handwritten Document Transcription and Annotation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.DL","authors_text":"Anders Hast, Ekta Vats, Per Cullhed","submitted_at":"2017-11-22T12:05:33Z","abstract_excerpt":"This paper presents a framework for semi-automatic transcription of large-scale historical handwritten documents and proposes a simple user-friendly text extractor tool, TexT for transcription. The proposed approach provides a quick and easy transcription of text using computer assisted interactive technique. The algorithm finds multiple occurrences of the marked text on-the-fly using a word spotting system. TexT is also capable of performing on-the-fly annotation of handwritten text with automatic generation of ground truth labels, and dynamic adjustment and correction of user generated bound"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1801.05367","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DL","submitted_at":"2017-11-22T12:05:33Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"7062586f2dee134ef1aa377a9b5f95c904428443e1b26f04969de9962acefc52","abstract_canon_sha256":"0bacb518b96a2bf4e0711142eb0708f970cf291a0bc2ca21aa73c3c6809a015b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:22:50.712342Z","signature_b64":"BVku8jaIZRAwiGnwXi+JfdILi3nzHPoCXK50CB1MtVEis7zY00byKSz+qevFK1xpOK7y5Np4GLej4jy2pHWiDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"66dcb69455ac497fcfaacff68322132dea0b26683a604e01139874105d0828cb","last_reissued_at":"2026-05-18T00:22:50.711953Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:22:50.711953Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"TexT - Text Extractor Tool for Handwritten Document Transcription and Annotation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.DL","authors_text":"Anders Hast, Ekta Vats, Per Cullhed","submitted_at":"2017-11-22T12:05:33Z","abstract_excerpt":"This paper presents a framework for semi-automatic transcription of large-scale historical handwritten documents and proposes a simple user-friendly text extractor tool, TexT for transcription. The proposed approach provides a quick and easy transcription of text using computer assisted interactive technique. The algorithm finds multiple occurrences of the marked text on-the-fly using a word spotting system. TexT is also capable of performing on-the-fly annotation of handwritten text with automatic generation of ground truth labels, and dynamic adjustment and correction of user generated bound"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.05367","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":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1801.05367","created_at":"2026-05-18T00:22:50.712014+00:00"},{"alias_kind":"arxiv_version","alias_value":"1801.05367v1","created_at":"2026-05-18T00:22:50.712014+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.05367","created_at":"2026-05-18T00:22:50.712014+00:00"},{"alias_kind":"pith_short_12","alias_value":"M3OLNFCVVREX","created_at":"2026-05-18T12:31:28.150371+00:00"},{"alias_kind":"pith_short_16","alias_value":"M3OLNFCVVREX7T5K","created_at":"2026-05-18T12:31:28.150371+00:00"},{"alias_kind":"pith_short_8","alias_value":"M3OLNFCV","created_at":"2026-05-18T12:31:28.150371+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/M3OLNFCVVREX7T5KZ73IGIQTFX","json":"https://pith.science/pith/M3OLNFCVVREX7T5KZ73IGIQTFX.json","graph_json":"https://pith.science/api/pith-number/M3OLNFCVVREX7T5KZ73IGIQTFX/graph.json","events_json":"https://pith.science/api/pith-number/M3OLNFCVVREX7T5KZ73IGIQTFX/events.json","paper":"https://pith.science/paper/M3OLNFCV"},"agent_actions":{"view_html":"https://pith.science/pith/M3OLNFCVVREX7T5KZ73IGIQTFX","download_json":"https://pith.science/pith/M3OLNFCVVREX7T5KZ73IGIQTFX.json","view_paper":"https://pith.science/paper/M3OLNFCV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1801.05367&json=true","fetch_graph":"https://pith.science/api/pith-number/M3OLNFCVVREX7T5KZ73IGIQTFX/graph.json","fetch_events":"https://pith.science/api/pith-number/M3OLNFCVVREX7T5KZ73IGIQTFX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/M3OLNFCVVREX7T5KZ73IGIQTFX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/M3OLNFCVVREX7T5KZ73IGIQTFX/action/storage_attestation","attest_author":"https://pith.science/pith/M3OLNFCVVREX7T5KZ73IGIQTFX/action/author_attestation","sign_citation":"https://pith.science/pith/M3OLNFCVVREX7T5KZ73IGIQTFX/action/citation_signature","submit_replication":"https://pith.science/pith/M3OLNFCVVREX7T5KZ73IGIQTFX/action/replication_record"}},"created_at":"2026-05-18T00:22:50.712014+00:00","updated_at":"2026-05-18T00:22:50.712014+00:00"}