{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ZEQELQN4KAVVVYZUSWNVZYKFTZ","short_pith_number":"pith:ZEQELQN4","canonical_record":{"source":{"id":"2306.06823","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-12T02:22:30Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"0987bf435c6a062cbb8356f64190c28dc89de4f1c0e696458b12c7bc3beae219","abstract_canon_sha256":"e01b41468f32c8ca7f4311a64d5ffd0490bdc71bb19b53a92e45bd1810ca45ff"},"schema_version":"1.0"},"canonical_sha256":"c92045c1bc502b5ae334959b5ce1459e43ea27308b908ed48e247455ae45f106","source":{"kind":"arxiv","id":"2306.06823","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.06823","created_at":"2026-07-05T06:19:44Z"},{"alias_kind":"arxiv_version","alias_value":"2306.06823v1","created_at":"2026-07-05T06:19:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.06823","created_at":"2026-07-05T06:19:44Z"},{"alias_kind":"pith_short_12","alias_value":"ZEQELQN4KAVV","created_at":"2026-07-05T06:19:44Z"},{"alias_kind":"pith_short_16","alias_value":"ZEQELQN4KAVVVYZU","created_at":"2026-07-05T06:19:44Z"},{"alias_kind":"pith_short_8","alias_value":"ZEQELQN4","created_at":"2026-07-05T06:19:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ZEQELQN4KAVVVYZUSWNVZYKFTZ","target":"record","payload":{"canonical_record":{"source":{"id":"2306.06823","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-12T02:22:30Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"0987bf435c6a062cbb8356f64190c28dc89de4f1c0e696458b12c7bc3beae219","abstract_canon_sha256":"e01b41468f32c8ca7f4311a64d5ffd0490bdc71bb19b53a92e45bd1810ca45ff"},"schema_version":"1.0"},"canonical_sha256":"c92045c1bc502b5ae334959b5ce1459e43ea27308b908ed48e247455ae45f106","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:19:44.493682Z","signature_b64":"7ZjS8M2AmjO0ncN9H0E9XXnbQeusvJ1nNcBQhQ/kbfuiQgj+IVliXfa17480iAHu34R0ooZL7nbvrvKT/USUDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c92045c1bc502b5ae334959b5ce1459e43ea27308b908ed48e247455ae45f106","last_reissued_at":"2026-07-05T06:19:44.493268Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:19:44.493268Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.06823","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":"2026-07-05T06:19:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YZrYUUBNHumZ73fzT5LFhq4HhM4LJTbIrACW+rg4DZXWNBZ85IfbY4SofFExkr3Qitu9RK0cE0y8+L9m1NgrCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:23:35.255662Z"},"content_sha256":"ddd2902b7220cd078cd477bf030a4e10b0d4f2b98964d692cd2cc1e074b1bbf7","schema_version":"1.0","event_id":"sha256:ddd2902b7220cd078cd477bf030a4e10b0d4f2b98964d692cd2cc1e074b1bbf7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ZEQELQN4KAVVVYZUSWNVZYKFTZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Weakly supervised information extraction from inscrutable handwritten document images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CV","authors_text":"Akankshya Mishra, Gagan Madan, Gaurav Aggarwal, Narayan Hegde, Pradeep Kumar, Sujoy Paul","submitted_at":"2023-06-12T02:22:30Z","abstract_excerpt":"State-of-the-art information extraction methods are limited by OCR errors. They work well for printed text in form-like documents, but unstructured, handwritten documents still remain a challenge. Adapting existing models to domain-specific training data is quite expensive, because of two factors, 1) limited availability of the domain-specific documents (such as handwritten prescriptions, lab notes, etc.), and 2) annotations become even more challenging as one needs domain-specific knowledge to decode inscrutable handwritten document images. In this work, we focus on the complex problem of ext"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.06823","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/2306.06823/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":"2026-07-05T06:19:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D26jq9zy4Swx5e4B1aoKRrQQc3b9xUTHcUqFmoOD2cGpuU/0dePI8FDF0GhEvd4Ba8eWbOMHnZ0BIFXg3McHCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:23:35.257078Z"},"content_sha256":"749fe09474a8ba47e8ed973e5c4139357a4406cdb10d9f99cce20d076d6ae906","schema_version":"1.0","event_id":"sha256:749fe09474a8ba47e8ed973e5c4139357a4406cdb10d9f99cce20d076d6ae906"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZEQELQN4KAVVVYZUSWNVZYKFTZ/bundle.json","state_url":"https://pith.science/pith/ZEQELQN4KAVVVYZUSWNVZYKFTZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZEQELQN4KAVVVYZUSWNVZYKFTZ/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":"2026-08-04T12:23:35Z","links":{"resolver":"https://pith.science/pith/ZEQELQN4KAVVVYZUSWNVZYKFTZ","bundle":"https://pith.science/pith/ZEQELQN4KAVVVYZUSWNVZYKFTZ/bundle.json","state":"https://pith.science/pith/ZEQELQN4KAVVVYZUSWNVZYKFTZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZEQELQN4KAVVVYZUSWNVZYKFTZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZEQELQN4KAVVVYZUSWNVZYKFTZ","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":"e01b41468f32c8ca7f4311a64d5ffd0490bdc71bb19b53a92e45bd1810ca45ff","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-12T02:22:30Z","title_canon_sha256":"0987bf435c6a062cbb8356f64190c28dc89de4f1c0e696458b12c7bc3beae219"},"schema_version":"1.0","source":{"id":"2306.06823","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.06823","created_at":"2026-07-05T06:19:44Z"},{"alias_kind":"arxiv_version","alias_value":"2306.06823v1","created_at":"2026-07-05T06:19:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.06823","created_at":"2026-07-05T06:19:44Z"},{"alias_kind":"pith_short_12","alias_value":"ZEQELQN4KAVV","created_at":"2026-07-05T06:19:44Z"},{"alias_kind":"pith_short_16","alias_value":"ZEQELQN4KAVVVYZU","created_at":"2026-07-05T06:19:44Z"},{"alias_kind":"pith_short_8","alias_value":"ZEQELQN4","created_at":"2026-07-05T06:19:44Z"}],"graph_snapshots":[{"event_id":"sha256:749fe09474a8ba47e8ed973e5c4139357a4406cdb10d9f99cce20d076d6ae906","target":"graph","created_at":"2026-07-05T06:19:44Z","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/2306.06823/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"State-of-the-art information extraction methods are limited by OCR errors. They work well for printed text in form-like documents, but unstructured, handwritten documents still remain a challenge. Adapting existing models to domain-specific training data is quite expensive, because of two factors, 1) limited availability of the domain-specific documents (such as handwritten prescriptions, lab notes, etc.), and 2) annotations become even more challenging as one needs domain-specific knowledge to decode inscrutable handwritten document images. In this work, we focus on the complex problem of ext","authors_text":"Akankshya Mishra, Gagan Madan, Gaurav Aggarwal, Narayan Hegde, Pradeep Kumar, Sujoy Paul","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-12T02:22:30Z","title":"Weakly supervised information extraction from inscrutable handwritten document images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.06823","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:ddd2902b7220cd078cd477bf030a4e10b0d4f2b98964d692cd2cc1e074b1bbf7","target":"record","created_at":"2026-07-05T06:19:44Z","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":"e01b41468f32c8ca7f4311a64d5ffd0490bdc71bb19b53a92e45bd1810ca45ff","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-12T02:22:30Z","title_canon_sha256":"0987bf435c6a062cbb8356f64190c28dc89de4f1c0e696458b12c7bc3beae219"},"schema_version":"1.0","source":{"id":"2306.06823","kind":"arxiv","version":1}},"canonical_sha256":"c92045c1bc502b5ae334959b5ce1459e43ea27308b908ed48e247455ae45f106","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c92045c1bc502b5ae334959b5ce1459e43ea27308b908ed48e247455ae45f106","first_computed_at":"2026-07-05T06:19:44.493268Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:19:44.493268Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7ZjS8M2AmjO0ncN9H0E9XXnbQeusvJ1nNcBQhQ/kbfuiQgj+IVliXfa17480iAHu34R0ooZL7nbvrvKT/USUDA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:19:44.493682Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.06823","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ddd2902b7220cd078cd477bf030a4e10b0d4f2b98964d692cd2cc1e074b1bbf7","sha256:749fe09474a8ba47e8ed973e5c4139357a4406cdb10d9f99cce20d076d6ae906"],"state_sha256":"ee83710e53185e8eaf4776a18a6fd9bae1c69a5f9d83caf9f525ab963b727118"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MVyqC5D1gjWsfPT1i31LYJhC1Zn/v7bHU93xvkQI/ZLrBsnC2U6ySBuzgP+sy9vZaRy/GJ7PprjMG8v9osw5CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T12:23:35.265766Z","bundle_sha256":"ae425e0a6e669811dbf003e6a6d7dd2344f634567d8afa7729d9b47c245266ad"}}