{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:MWBWR744KIGLYWWAI2YOKRMDTN","short_pith_number":"pith:MWBWR744","canonical_record":{"source":{"id":"2112.04189","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-08T09:26:21Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"1d653cf3db0eaac6edb17832b9840292e2578327dcfddb4259a4254e2db23339","abstract_canon_sha256":"71c157e8ffcf2ab44de5f35e6e60e7738f2b50584307cf697fd5333d891a112e"},"schema_version":"1.0"},"canonical_sha256":"658368ff9c520cbc5ac046b0e545839b725180317cf00c9d9b2e5f10aff09b7d","source":{"kind":"arxiv","id":"2112.04189","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.04189","created_at":"2026-07-05T03:39:07Z"},{"alias_kind":"arxiv_version","alias_value":"2112.04189v1","created_at":"2026-07-05T03:39:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.04189","created_at":"2026-07-05T03:39:07Z"},{"alias_kind":"pith_short_12","alias_value":"MWBWR744KIGL","created_at":"2026-07-05T03:39:07Z"},{"alias_kind":"pith_short_16","alias_value":"MWBWR744KIGLYWWA","created_at":"2026-07-05T03:39:07Z"},{"alias_kind":"pith_short_8","alias_value":"MWBWR744","created_at":"2026-07-05T03:39:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:MWBWR744KIGLYWWAI2YOKRMDTN","target":"record","payload":{"canonical_record":{"source":{"id":"2112.04189","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-08T09:26:21Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"1d653cf3db0eaac6edb17832b9840292e2578327dcfddb4259a4254e2db23339","abstract_canon_sha256":"71c157e8ffcf2ab44de5f35e6e60e7738f2b50584307cf697fd5333d891a112e"},"schema_version":"1.0"},"canonical_sha256":"658368ff9c520cbc5ac046b0e545839b725180317cf00c9d9b2e5f10aff09b7d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:39:07.057083Z","signature_b64":"aILVx6X/1nlbzTsHSEQuWJNVDXBEUDULPz2kVVTO4QQWP+xn/snbwOxoN4ly9t8AbAFAByBNpwjFo1xmjekUCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"658368ff9c520cbc5ac046b0e545839b725180317cf00c9d9b2e5f10aff09b7d","last_reissued_at":"2026-07-05T03:39:07.056695Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:39:07.056695Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2112.04189","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":"2026-07-05T03:39:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2ohslCmtbOnMSIp1oWSjYJPM19Ng2+CfOBeGOZff3eZ502uc2unM9n/leYDAo8Z58TbSFzvySGlAPZpTJCP2Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T10:59:40.281788Z"},"content_sha256":"3d7704c8fa9de71556805e9bf9fd1ac1ba00d590d6648d46c0da5a7f54c1cba9","schema_version":"1.0","event_id":"sha256:3d7704c8fa9de71556805e9bf9fd1ac1ba00d590d6648d46c0da5a7f54c1cba9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:MWBWR744KIGLYWWAI2YOKRMDTN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Transformer-Based Approach for Joint Handwriting and Named Entity Recognition in Historical documents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CV","authors_text":"Ahmed Cheikh Rouhoua, Marwa Dhiaf, Sinda Ben Salem, Yousri Kessentini","submitted_at":"2021-12-08T09:26:21Z","abstract_excerpt":"The extraction of relevant information carried out by named entities in handwriting documents is still a challenging task. Unlike traditional information extraction approaches that usually face text transcription and named entity recognition as separate subsequent tasks, we propose in this paper an end-to-end transformer-based approach to jointly perform these two tasks. The proposed approach operates at the paragraph level, which brings two main benefits. First, it allows the model to avoid unrecoverable early errors due to line segmentation. Second, it allows the model to exploit larger bi-d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.04189","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/2112.04189/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":"2026-07-05T03:39:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dxEnXTHclisYzmA1Amjr20gru8QtMLMbDL5fkjyIRfJhcaAH7uasN/Ic3QQ22DqwfCsub/wDFfhx77rFOKHxAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T10:59:40.282351Z"},"content_sha256":"8cc1903309d3d4ce362ef65a153f4ed23b2808838b963305f90a2d135cad8edb","schema_version":"1.0","event_id":"sha256:8cc1903309d3d4ce362ef65a153f4ed23b2808838b963305f90a2d135cad8edb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MWBWR744KIGLYWWAI2YOKRMDTN/bundle.json","state_url":"https://pith.science/pith/MWBWR744KIGLYWWAI2YOKRMDTN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MWBWR744KIGLYWWAI2YOKRMDTN/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":"2026-08-18T10:59:40Z","links":{"resolver":"https://pith.science/pith/MWBWR744KIGLYWWAI2YOKRMDTN","bundle":"https://pith.science/pith/MWBWR744KIGLYWWAI2YOKRMDTN/bundle.json","state":"https://pith.science/pith/MWBWR744KIGLYWWAI2YOKRMDTN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MWBWR744KIGLYWWAI2YOKRMDTN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:MWBWR744KIGLYWWAI2YOKRMDTN","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":"71c157e8ffcf2ab44de5f35e6e60e7738f2b50584307cf697fd5333d891a112e","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-08T09:26:21Z","title_canon_sha256":"1d653cf3db0eaac6edb17832b9840292e2578327dcfddb4259a4254e2db23339"},"schema_version":"1.0","source":{"id":"2112.04189","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.04189","created_at":"2026-07-05T03:39:07Z"},{"alias_kind":"arxiv_version","alias_value":"2112.04189v1","created_at":"2026-07-05T03:39:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.04189","created_at":"2026-07-05T03:39:07Z"},{"alias_kind":"pith_short_12","alias_value":"MWBWR744KIGL","created_at":"2026-07-05T03:39:07Z"},{"alias_kind":"pith_short_16","alias_value":"MWBWR744KIGLYWWA","created_at":"2026-07-05T03:39:07Z"},{"alias_kind":"pith_short_8","alias_value":"MWBWR744","created_at":"2026-07-05T03:39:07Z"}],"graph_snapshots":[{"event_id":"sha256:8cc1903309d3d4ce362ef65a153f4ed23b2808838b963305f90a2d135cad8edb","target":"graph","created_at":"2026-07-05T03:39:07Z","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/2112.04189/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The extraction of relevant information carried out by named entities in handwriting documents is still a challenging task. Unlike traditional information extraction approaches that usually face text transcription and named entity recognition as separate subsequent tasks, we propose in this paper an end-to-end transformer-based approach to jointly perform these two tasks. The proposed approach operates at the paragraph level, which brings two main benefits. First, it allows the model to avoid unrecoverable early errors due to line segmentation. Second, it allows the model to exploit larger bi-d","authors_text":"Ahmed Cheikh Rouhoua, Marwa Dhiaf, Sinda Ben Salem, Yousri Kessentini","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-08T09:26:21Z","title":"Transformer-Based Approach for Joint Handwriting and Named Entity Recognition in Historical documents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.04189","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":"sha256:3d7704c8fa9de71556805e9bf9fd1ac1ba00d590d6648d46c0da5a7f54c1cba9","target":"record","created_at":"2026-07-05T03:39:07Z","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":"71c157e8ffcf2ab44de5f35e6e60e7738f2b50584307cf697fd5333d891a112e","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-08T09:26:21Z","title_canon_sha256":"1d653cf3db0eaac6edb17832b9840292e2578327dcfddb4259a4254e2db23339"},"schema_version":"1.0","source":{"id":"2112.04189","kind":"arxiv","version":1}},"canonical_sha256":"658368ff9c520cbc5ac046b0e545839b725180317cf00c9d9b2e5f10aff09b7d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"658368ff9c520cbc5ac046b0e545839b725180317cf00c9d9b2e5f10aff09b7d","first_computed_at":"2026-07-05T03:39:07.056695Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:39:07.056695Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aILVx6X/1nlbzTsHSEQuWJNVDXBEUDULPz2kVVTO4QQWP+xn/snbwOxoN4ly9t8AbAFAByBNpwjFo1xmjekUCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:39:07.057083Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.04189","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3d7704c8fa9de71556805e9bf9fd1ac1ba00d590d6648d46c0da5a7f54c1cba9","sha256:8cc1903309d3d4ce362ef65a153f4ed23b2808838b963305f90a2d135cad8edb"],"state_sha256":"77d6dd53969fe64eeb0c62f281670871e9f98c405eb1bcade7a2d0fb6b3e6752"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y2Zt9ZKEAw0gVAFbElv8W5nwqOOHCh6y1wYjQpnZs2df5S51xvfvq9hzSOvGT9ADEQ3hGXMKUs66JMSA6Po/AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T10:59:40.287431Z","bundle_sha256":"26cdd7084abf715c49fcdd38131533cee0ca9277fbcec76e3e0106db7ba3eb1c"}}