{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:LBHHJVZ5Z7RKFVQ5AVOICTOB76","short_pith_number":"pith:LBHHJVZ5","canonical_record":{"source":{"id":"2308.02770","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-05T02:33:45Z","cross_cats_sorted":[],"title_canon_sha256":"d12184eeac9c1f8e64cb141f380a30bd3bbfa3e5be0df394ffa491107c94f9f8","abstract_canon_sha256":"84cef808c65275211b2ac9c2eac645bf0223a63afad5f051e5dbc93e10ae7e23"},"schema_version":"1.0"},"canonical_sha256":"584e74d73dcfe2a2d61d055c814dc1ff90a3b0f921b9511c299971dccbfc5f11","source":{"kind":"arxiv","id":"2308.02770","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.02770","created_at":"2026-07-05T06:38:07Z"},{"alias_kind":"arxiv_version","alias_value":"2308.02770v1","created_at":"2026-07-05T06:38:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.02770","created_at":"2026-07-05T06:38:07Z"},{"alias_kind":"pith_short_12","alias_value":"LBHHJVZ5Z7RK","created_at":"2026-07-05T06:38:07Z"},{"alias_kind":"pith_short_16","alias_value":"LBHHJVZ5Z7RKFVQ5","created_at":"2026-07-05T06:38:07Z"},{"alias_kind":"pith_short_8","alias_value":"LBHHJVZ5","created_at":"2026-07-05T06:38:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:LBHHJVZ5Z7RKFVQ5AVOICTOB76","target":"record","payload":{"canonical_record":{"source":{"id":"2308.02770","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-05T02:33:45Z","cross_cats_sorted":[],"title_canon_sha256":"d12184eeac9c1f8e64cb141f380a30bd3bbfa3e5be0df394ffa491107c94f9f8","abstract_canon_sha256":"84cef808c65275211b2ac9c2eac645bf0223a63afad5f051e5dbc93e10ae7e23"},"schema_version":"1.0"},"canonical_sha256":"584e74d73dcfe2a2d61d055c814dc1ff90a3b0f921b9511c299971dccbfc5f11","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:38:07.195166Z","signature_b64":"pTDzEYUc9bK4X2Nofj2gqfp/E9Nah+G9oJdX2wv3bsmEwh5q0dGlVVHfDkN2dHTrUGhIMcz4mi+Kw2GW1S/BAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"584e74d73dcfe2a2d61d055c814dc1ff90a3b0f921b9511c299971dccbfc5f11","last_reissued_at":"2026-07-05T06:38:07.194580Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:38:07.194580Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.02770","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":"2026-07-05T06:38:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TGLkg9DhONvYywZjGGlYsEe227FMfMJOJFpn1wyl4SO1Mv8KgiplWM4Zk5V9JCExzuYJLTvi+9FMCP6xZixCAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:12:33.614722Z"},"content_sha256":"f042692a0a9322f2935a4c72227ab22c52e83bc7151084c98bda5ad811e2f13a","schema_version":"1.0","event_id":"sha256:f042692a0a9322f2935a4c72227ab22c52e83bc7151084c98bda5ad811e2f13a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:LBHHJVZ5Z7RKFVQ5AVOICTOB76","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bin Chen, Guanghao Meng, Hang Guo, Mingyan Zhu, Shu-Tao Xia, Tao Dai, Zhi Wang","submitted_at":"2023-08-05T02:33:45Z","abstract_excerpt":"Recognizing characters from low-resolution (LR) text images poses a significant challenge due to the information deficiency as well as the noise and blur in low-quality images. Current solutions for low-resolution text recognition (LTR) typically rely on a two-stage pipeline that involves super-resolution as the first stage followed by the second-stage recognition. Although this pipeline is straightforward and intuitive, it has to use an additional super-resolution network, which causes inefficiencies during training and testing. Moreover, the recognition accuracy of the second stage heavily d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.02770","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/2308.02770/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":"2026-07-05T06:38:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cobukeHYlQvxPMer9jALJmd2y0uAOpu7DVOvRhMSbdxvyvOi6OAOXUNcLiBLifASQmFCex/jY/lBwVr3EsWhBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:12:33.615089Z"},"content_sha256":"72278a76ca436a9e6cce112f7d80d871f1a545c4b647053aa4c5517845869cfa","schema_version":"1.0","event_id":"sha256:72278a76ca436a9e6cce112f7d80d871f1a545c4b647053aa4c5517845869cfa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LBHHJVZ5Z7RKFVQ5AVOICTOB76/bundle.json","state_url":"https://pith.science/pith/LBHHJVZ5Z7RKFVQ5AVOICTOB76/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LBHHJVZ5Z7RKFVQ5AVOICTOB76/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":"2026-07-06T18:12:33Z","links":{"resolver":"https://pith.science/pith/LBHHJVZ5Z7RKFVQ5AVOICTOB76","bundle":"https://pith.science/pith/LBHHJVZ5Z7RKFVQ5AVOICTOB76/bundle.json","state":"https://pith.science/pith/LBHHJVZ5Z7RKFVQ5AVOICTOB76/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LBHHJVZ5Z7RKFVQ5AVOICTOB76/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:LBHHJVZ5Z7RKFVQ5AVOICTOB76","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":"84cef808c65275211b2ac9c2eac645bf0223a63afad5f051e5dbc93e10ae7e23","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-05T02:33:45Z","title_canon_sha256":"d12184eeac9c1f8e64cb141f380a30bd3bbfa3e5be0df394ffa491107c94f9f8"},"schema_version":"1.0","source":{"id":"2308.02770","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.02770","created_at":"2026-07-05T06:38:07Z"},{"alias_kind":"arxiv_version","alias_value":"2308.02770v1","created_at":"2026-07-05T06:38:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.02770","created_at":"2026-07-05T06:38:07Z"},{"alias_kind":"pith_short_12","alias_value":"LBHHJVZ5Z7RK","created_at":"2026-07-05T06:38:07Z"},{"alias_kind":"pith_short_16","alias_value":"LBHHJVZ5Z7RKFVQ5","created_at":"2026-07-05T06:38:07Z"},{"alias_kind":"pith_short_8","alias_value":"LBHHJVZ5","created_at":"2026-07-05T06:38:07Z"}],"graph_snapshots":[{"event_id":"sha256:72278a76ca436a9e6cce112f7d80d871f1a545c4b647053aa4c5517845869cfa","target":"graph","created_at":"2026-07-05T06:38:07Z","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/2308.02770/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recognizing characters from low-resolution (LR) text images poses a significant challenge due to the information deficiency as well as the noise and blur in low-quality images. Current solutions for low-resolution text recognition (LTR) typically rely on a two-stage pipeline that involves super-resolution as the first stage followed by the second-stage recognition. Although this pipeline is straightforward and intuitive, it has to use an additional super-resolution network, which causes inefficiencies during training and testing. Moreover, the recognition accuracy of the second stage heavily d","authors_text":"Bin Chen, Guanghao Meng, Hang Guo, Mingyan Zhu, Shu-Tao Xia, Tao Dai, Zhi Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-05T02:33:45Z","title":"One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.02770","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:f042692a0a9322f2935a4c72227ab22c52e83bc7151084c98bda5ad811e2f13a","target":"record","created_at":"2026-07-05T06:38:07Z","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":"84cef808c65275211b2ac9c2eac645bf0223a63afad5f051e5dbc93e10ae7e23","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-05T02:33:45Z","title_canon_sha256":"d12184eeac9c1f8e64cb141f380a30bd3bbfa3e5be0df394ffa491107c94f9f8"},"schema_version":"1.0","source":{"id":"2308.02770","kind":"arxiv","version":1}},"canonical_sha256":"584e74d73dcfe2a2d61d055c814dc1ff90a3b0f921b9511c299971dccbfc5f11","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"584e74d73dcfe2a2d61d055c814dc1ff90a3b0f921b9511c299971dccbfc5f11","first_computed_at":"2026-07-05T06:38:07.194580Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:38:07.194580Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pTDzEYUc9bK4X2Nofj2gqfp/E9Nah+G9oJdX2wv3bsmEwh5q0dGlVVHfDkN2dHTrUGhIMcz4mi+Kw2GW1S/BAA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:38:07.195166Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.02770","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f042692a0a9322f2935a4c72227ab22c52e83bc7151084c98bda5ad811e2f13a","sha256:72278a76ca436a9e6cce112f7d80d871f1a545c4b647053aa4c5517845869cfa"],"state_sha256":"10bf2d53e607347bd22f60de41b0b9f8926621f1bb2e298aed03cd421098dfc6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7kN+3fJIijuH6QMXEID+/fF/XjH8yDiymBPekM2+A2M0Qj8whPXFQfRsVs9ptpg75jUWH7iRMzamlrNgzDjrAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T18:12:33.617055Z","bundle_sha256":"d94d4c1a61cfff4af881a8841a826ee60398a52eb6f0b6f2a33c433c168f808e"}}