{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:V3HO4VUB2KBAHM5HNWXSWAENQI","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":"648c24cf7cc53847c1a6a0a010b50986b6c4599a517b52243ae5674a8e7019ba","cross_cats_sorted":["cs.AI","cs.CL","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-05-08T07:43:02Z","title_canon_sha256":"ae18a88a6447c9c33f82f16850497e9a7a97ff2cd0b57e4090fb521b533b6a60"},"schema_version":"1.0","source":{"id":"2607.24745","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.24745","created_at":"2026-07-29T00:24:41Z"},{"alias_kind":"arxiv_version","alias_value":"2607.24745v1","created_at":"2026-07-29T00:24:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.24745","created_at":"2026-07-29T00:24:41Z"},{"alias_kind":"pith_short_12","alias_value":"V3HO4VUB2KBA","created_at":"2026-07-29T00:24:41Z"},{"alias_kind":"pith_short_16","alias_value":"V3HO4VUB2KBAHM5H","created_at":"2026-07-29T00:24:41Z"},{"alias_kind":"pith_short_8","alias_value":"V3HO4VUB","created_at":"2026-07-29T00:24:41Z"}],"graph_snapshots":[{"event_id":"sha256:af0022938cdcf3fd9a765b37402ecf1e51252bc78715f2670d011d928e125b2c","target":"graph","created_at":"2026-07-29T00:24:41Z","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/2607.24745/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Key Information Extraction (KIE) is vital for many document applications, but creating training datasets is traditionally a time-consuming manual process. We introduce DocAnnot, a framework that significantly accelerates KIE dataset generation. DocAnnot leverages a Large Vision Language Model (LVLM) for label value extraction, OCR for text/bounding box detection, and a novel Spatially Informed Contextual Matching (SICM) algorithm. SICM improves label-value association by combining spatial relationships and proximity analysis with textual matching. We evaluate our framework on the CORD and SROI","authors_text":"Goutham Vignesh, Harikrishnan P M, Siddartha Reddy, Varun V, Vishal Vaddina","cross_cats":["cs.AI","cs.CL","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-05-08T07:43:02Z","title":"DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.24745","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:bb7af7505668de6f4851cc0315fa8149cd48fe793beac19633fe9949abffb437","target":"record","created_at":"2026-07-29T00:24:41Z","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":"648c24cf7cc53847c1a6a0a010b50986b6c4599a517b52243ae5674a8e7019ba","cross_cats_sorted":["cs.AI","cs.CL","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-05-08T07:43:02Z","title_canon_sha256":"ae18a88a6447c9c33f82f16850497e9a7a97ff2cd0b57e4090fb521b533b6a60"},"schema_version":"1.0","source":{"id":"2607.24745","kind":"arxiv","version":1}},"canonical_sha256":"aeceee5681d28203b3a76daf2b008d822a14d2f1922fb70e9666ead0ee20b739","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aeceee5681d28203b3a76daf2b008d822a14d2f1922fb70e9666ead0ee20b739","first_computed_at":"2026-07-29T00:24:41.795358Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-29T00:24:41.795358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iieu4TSILPFGPsET/Hojy4E3ILIx2oWbxo3/Ap2K8AWZU/a8uiaBAOLSPPpvNIljm2Mt+nKKo//mpzEIKCLGBQ==","signature_status":"signed_v1","signed_at":"2026-07-29T00:24:41.796300Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.24745","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bb7af7505668de6f4851cc0315fa8149cd48fe793beac19633fe9949abffb437","sha256:af0022938cdcf3fd9a765b37402ecf1e51252bc78715f2670d011d928e125b2c"],"state_sha256":"b8937eb84fdc8df78cb7208658ec483d193c4d5840f73f613ec6b3b02dba7ace"}