{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:JUSTNWIJL64AHIYFJXAKWH2QGS","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":"15206b3f8ea625e8900c95673bec0630be7f756dd1691cf5ce5208a799be1609","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-05-05T03:20:26Z","title_canon_sha256":"18d2dc7c0425f23ff3504e8ddf085ae9b55f371e401880f2861df141e1efed54"},"schema_version":"1.0","source":{"id":"2105.01848","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.01848","created_at":"2026-07-05T02:37:49Z"},{"alias_kind":"arxiv_version","alias_value":"2105.01848v1","created_at":"2026-07-05T02:37:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.01848","created_at":"2026-07-05T02:37:49Z"},{"alias_kind":"pith_short_12","alias_value":"JUSTNWIJL64A","created_at":"2026-07-05T02:37:49Z"},{"alias_kind":"pith_short_16","alias_value":"JUSTNWIJL64AHIYF","created_at":"2026-07-05T02:37:49Z"},{"alias_kind":"pith_short_8","alias_value":"JUSTNWIJ","created_at":"2026-07-05T02:37:49Z"}],"graph_snapshots":[{"event_id":"sha256:0544d37f9755394a2c83115e93e7594688afb27b7f9817c7de2dc03f04f67e5b","target":"graph","created_at":"2026-07-05T02:37:49Z","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/2105.01848/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents our solution for ICDAR 2021 competition on scientific literature parsing taskB: table recognition to HTML. In our method, we divide the table content recognition task into foursub-tasks: table structure recognition, text line detection, text line recognition, and box assignment.Our table structure recognition algorithm is customized based on MASTER [1], a robust image textrecognition algorithm. PSENet [2] is used to detect each text line in the table image. For text linerecognition, our model is also built on MASTER. Finally, in the box assignment phase, we associatedthe te","authors_text":"Dengyi Gu, Jiaquan Ye, Peng Gao, Rong Xiao, Xianbiao Qi, Yelin He, Yihao Chen","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-05-05T03:20:26Z","title":"PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTML"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.01848","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":"sha256:2a6acc0c732b9b2fa13bdbcf2a80e93e4974b6467979a3bc16da640f945a6bdc","target":"record","created_at":"2026-07-05T02:37:49Z","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":"15206b3f8ea625e8900c95673bec0630be7f756dd1691cf5ce5208a799be1609","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-05-05T03:20:26Z","title_canon_sha256":"18d2dc7c0425f23ff3504e8ddf085ae9b55f371e401880f2861df141e1efed54"},"schema_version":"1.0","source":{"id":"2105.01848","kind":"arxiv","version":1}},"canonical_sha256":"4d2536d9095fb803a3054dc0ab1f5034af26069d9e8993533461d24dc7c56748","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4d2536d9095fb803a3054dc0ab1f5034af26069d9e8993533461d24dc7c56748","first_computed_at":"2026-07-05T02:37:49.326515Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:37:49.326515Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qyofa3fL6kSE/MR+O6qSt2SIA4sv74r0HZxGW5kbnfTUYgJQsOwAt//bTT/kIjIF6q9w1cpdscGFesEqFWHlDw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:37:49.326982Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.01848","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a6acc0c732b9b2fa13bdbcf2a80e93e4974b6467979a3bc16da640f945a6bdc","sha256:0544d37f9755394a2c83115e93e7594688afb27b7f9817c7de2dc03f04f67e5b"],"state_sha256":"fd6b1232eacc9c280d809592e8fda45990bf36a7050a39cbf0d6102714a612f3"}