{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:NIGWPZSHGBTB24OZQZTSTOTNBH","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":"b9fd46f58bcea26a28fcd3e53843d1fb09572c48bcc2d16f11c2594d08b5ab3b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-13T14:54:33Z","title_canon_sha256":"100d40aea95ff58e66397a2c883bc3b5173c6bb929eb4073c0bb0b02d6c76ff0"},"schema_version":"1.0","source":{"id":"2111.07129","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.07129","created_at":"2026-07-05T03:31:36Z"},{"alias_kind":"arxiv_version","alias_value":"2111.07129v1","created_at":"2026-07-05T03:31:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.07129","created_at":"2026-07-05T03:31:36Z"},{"alias_kind":"pith_short_12","alias_value":"NIGWPZSHGBTB","created_at":"2026-07-05T03:31:36Z"},{"alias_kind":"pith_short_16","alias_value":"NIGWPZSHGBTB24OZ","created_at":"2026-07-05T03:31:36Z"},{"alias_kind":"pith_short_8","alias_value":"NIGWPZSH","created_at":"2026-07-05T03:31:36Z"}],"graph_snapshots":[{"event_id":"sha256:c40404f978730fa6738fc0b89d70d8e5412759f0691a23bd800dcf0cd00900c8","target":"graph","created_at":"2026-07-05T03:31:36Z","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/2111.07129/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Table structure recognition is necessary for a comprehensive understanding of documents. Tables in unstructured business documents are tough to parse due to the high diversity of layouts, varying alignments of contents, and the presence of empty cells. The problem is particularly difficult because of challenges in identifying individual cells using visual or linguistic contexts or both. Accurate detection of table cells (including empty cells) simplifies structure extraction and hence, it becomes the prime focus of our work. We propose a novel object-detection-based deep model that captures th","authors_text":"Ajoy Mondal, C V Jawahar, Sachin Raja","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-13T14:54:33Z","title":"Visual Understanding of Complex Table Structures from Document Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.07129","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":"sha256:3300d81b94219a682e006dcea2f3c8afc82ccca50c4be8549edd9f2e065b1aae","target":"record","created_at":"2026-07-05T03:31:36Z","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":"b9fd46f58bcea26a28fcd3e53843d1fb09572c48bcc2d16f11c2594d08b5ab3b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-13T14:54:33Z","title_canon_sha256":"100d40aea95ff58e66397a2c883bc3b5173c6bb929eb4073c0bb0b02d6c76ff0"},"schema_version":"1.0","source":{"id":"2111.07129","kind":"arxiv","version":1}},"canonical_sha256":"6a0d67e64730661d71d9866729ba6d09c980936a760aba630d133a7d6fbadbc7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6a0d67e64730661d71d9866729ba6d09c980936a760aba630d133a7d6fbadbc7","first_computed_at":"2026-07-05T03:31:36.274956Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:31:36.274956Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"D3CmGFvV7GG9sIC5619y7b9FvUPKCRdkIM67rRttKAa7HCwUg9Y6ndmiFlurqoeBgkxv31UV/jz0fOZgW8Q6BA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:31:36.275373Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.07129","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3300d81b94219a682e006dcea2f3c8afc82ccca50c4be8549edd9f2e065b1aae","sha256:c40404f978730fa6738fc0b89d70d8e5412759f0691a23bd800dcf0cd00900c8"],"state_sha256":"8d89b42ea091b19f357e337a8e2a5814218bc834241845cc347e4ff14881e98f"}