{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:TOUYC2TUXTDCM6SZX52XAVVONU","short_pith_number":"pith:TOUYC2TU","schema_version":"1.0","canonical_sha256":"9ba9816a74bcc6267a59bf757056ae6d128e6bec05e0d52bd38b603d8f61b587","source":{"kind":"arxiv","id":"1901.02596","version":2},"attestation_state":"computed","paper":{"title":"MSR: Multi-Scale Shape Regression for Scene Text Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chuhui Xue, Shijian Lu, Wei Zhang","submitted_at":"2019-01-09T04:00:03Z","abstract_excerpt":"State-of-the-art scene text detection techniques predict quadrilateral boxes that are prone to localization errors while dealing with straight or curved text lines of different orientations and lengths in scenes. This paper presents a novel multi-scale shape regression network (MSR) that is capable of locating text lines of different lengths, shapes and curvatures in scenes. The proposed MSR detects scene texts by predicting dense text boundary points that inherently capture the location and shape of text lines accurately and are also more tolerant to the variation of text line length as compa"},"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":"1901.02596","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-09T04:00:03Z","cross_cats_sorted":[],"title_canon_sha256":"32c4b336900c5dc6681458fb25cb7f9896a0876f8776d75e83324ee6cb530d7a","abstract_canon_sha256":"43e2a9fec7c89598f6dc314d00c7782ccee8ea5049a93a7eb0f7aab89c0bda1e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:41:12.325023Z","signature_b64":"dI8wYAr1NSQGqcwjymuIjDgOlnTqYnPG5hU1KNnK/fBvBlN8EG+TMs8dUM+aGuDEw1g9zRVcKvxbSH6Z9A9kBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9ba9816a74bcc6267a59bf757056ae6d128e6bec05e0d52bd38b603d8f61b587","last_reissued_at":"2026-05-17T23:41:12.324391Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:41:12.324391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MSR: Multi-Scale Shape Regression for Scene Text Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chuhui Xue, Shijian Lu, Wei Zhang","submitted_at":"2019-01-09T04:00:03Z","abstract_excerpt":"State-of-the-art scene text detection techniques predict quadrilateral boxes that are prone to localization errors while dealing with straight or curved text lines of different orientations and lengths in scenes. This paper presents a novel multi-scale shape regression network (MSR) that is capable of locating text lines of different lengths, shapes and curvatures in scenes. The proposed MSR detects scene texts by predicting dense text boundary points that inherently capture the location and shape of text lines accurately and are also more tolerant to the variation of text line length as compa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.02596","kind":"arxiv","version":2},"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":"1901.02596","created_at":"2026-05-17T23:41:12.324512+00:00"},{"alias_kind":"arxiv_version","alias_value":"1901.02596v2","created_at":"2026-05-17T23:41:12.324512+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.02596","created_at":"2026-05-17T23:41:12.324512+00:00"},{"alias_kind":"pith_short_12","alias_value":"TOUYC2TUXTDC","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_16","alias_value":"TOUYC2TUXTDCM6SZ","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_8","alias_value":"TOUYC2TU","created_at":"2026-05-18T12:33:30.264802+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/TOUYC2TUXTDCM6SZX52XAVVONU","json":"https://pith.science/pith/TOUYC2TUXTDCM6SZX52XAVVONU.json","graph_json":"https://pith.science/api/pith-number/TOUYC2TUXTDCM6SZX52XAVVONU/graph.json","events_json":"https://pith.science/api/pith-number/TOUYC2TUXTDCM6SZX52XAVVONU/events.json","paper":"https://pith.science/paper/TOUYC2TU"},"agent_actions":{"view_html":"https://pith.science/pith/TOUYC2TUXTDCM6SZX52XAVVONU","download_json":"https://pith.science/pith/TOUYC2TUXTDCM6SZX52XAVVONU.json","view_paper":"https://pith.science/paper/TOUYC2TU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1901.02596&json=true","fetch_graph":"https://pith.science/api/pith-number/TOUYC2TUXTDCM6SZX52XAVVONU/graph.json","fetch_events":"https://pith.science/api/pith-number/TOUYC2TUXTDCM6SZX52XAVVONU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TOUYC2TUXTDCM6SZX52XAVVONU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TOUYC2TUXTDCM6SZX52XAVVONU/action/storage_attestation","attest_author":"https://pith.science/pith/TOUYC2TUXTDCM6SZX52XAVVONU/action/author_attestation","sign_citation":"https://pith.science/pith/TOUYC2TUXTDCM6SZX52XAVVONU/action/citation_signature","submit_replication":"https://pith.science/pith/TOUYC2TUXTDCM6SZX52XAVVONU/action/replication_record"}},"created_at":"2026-05-17T23:41:12.324512+00:00","updated_at":"2026-05-17T23:41:12.324512+00:00"}