{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:HM54NAAIMNHJZCUYTM3L5PK4DB","short_pith_number":"pith:HM54NAAI","canonical_record":{"source":{"id":"2507.06275","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-08T12:03:58Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"95dfd2819d4fead425ab376a3ebfd7ce52a787858e82da4f33512a1eda3ced26","abstract_canon_sha256":"49e5731ed253cf6f8562f292a324ff68d3096b64b608e6ec31e22a9dff2ff287"},"schema_version":"1.0"},"canonical_sha256":"3b3bc68008634e9c8a989b36bebd5c18637475e6f0d9805ca568ca579799e4d2","source":{"kind":"arxiv","id":"2507.06275","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.06275","created_at":"2026-07-05T11:34:12Z"},{"alias_kind":"arxiv_version","alias_value":"2507.06275v1","created_at":"2026-07-05T11:34:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.06275","created_at":"2026-07-05T11:34:12Z"},{"alias_kind":"pith_short_12","alias_value":"HM54NAAIMNHJ","created_at":"2026-07-05T11:34:12Z"},{"alias_kind":"pith_short_16","alias_value":"HM54NAAIMNHJZCUY","created_at":"2026-07-05T11:34:12Z"},{"alias_kind":"pith_short_8","alias_value":"HM54NAAI","created_at":"2026-07-05T11:34:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:HM54NAAIMNHJZCUYTM3L5PK4DB","target":"record","payload":{"canonical_record":{"source":{"id":"2507.06275","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-08T12:03:58Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"95dfd2819d4fead425ab376a3ebfd7ce52a787858e82da4f33512a1eda3ced26","abstract_canon_sha256":"49e5731ed253cf6f8562f292a324ff68d3096b64b608e6ec31e22a9dff2ff287"},"schema_version":"1.0"},"canonical_sha256":"3b3bc68008634e9c8a989b36bebd5c18637475e6f0d9805ca568ca579799e4d2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:34:12.935884Z","signature_b64":"0JufCeekdaN0uZl4EHeSk7Q8HxeQ44ABrnu3ws5oCTtqfonscyfB0eQKbcHmuPaPCMkyl1fG+Hd50ylOR3WTBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3b3bc68008634e9c8a989b36bebd5c18637475e6f0d9805ca568ca579799e4d2","last_reissued_at":"2026-07-05T11:34:12.935340Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:34:12.935340Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.06275","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":"2026-07-05T11:34:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Lpt0P1GuC4hcPYOcGwihLbjyRxH1mHELgtRlR3+EV67SPIJQ7KdB0xFbv8CdIGLGVC0jxfHoz9V9EsEaaSuMDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T16:25:30.779987Z"},"content_sha256":"144d09bf33d3993c5f9d532a92c677d704db24fc4d9b14d0dfe92e9e5d5c0a7f","schema_version":"1.0","event_id":"sha256:144d09bf33d3993c5f9d532a92c677d704db24fc4d9b14d0dfe92e9e5d5c0a7f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:HM54NAAIMNHJZCUYTM3L5PK4DB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Advancing Offline Handwritten Text Recognition: A Systematic Review of Data Augmentation and Generation Techniques","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Aram M. Ahmed, Arwaa W. Abdulkareem, Bryar A. Hassan, Joan Lu, Polla Fattah, Tarik A. Rashid, Yassin Hussein Rassul","submitted_at":"2025-07-08T12:03:58Z","abstract_excerpt":"Offline Handwritten Text Recognition (HTR) systems play a crucial role in applications such as historical document digitization, automatic form processing, and biometric authentication. However, their performance is often hindered by the limited availability of annotated training data, particularly for low-resource languages and complex scripts. This paper presents a comprehensive survey of offline handwritten data augmentation and generation techniques designed to improve the accuracy and robustness of HTR systems. We systematically examine traditional augmentation methods alongside recent ad"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.06275","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/2507.06275/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":"2026-07-05T11:34:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mTJpy3pX/nm4cPwsCPfXFMKcWcHVxL4mpFSEPVz0SIrYHaU2W8H5zl2sC7jgFt4pWbjneSYdljCIRdOWOnxJDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T16:25:30.780516Z"},"content_sha256":"29f1a69a80d6cb9ce7709d054774cbc77af6eef90336414a587fe8b46cef0fe9","schema_version":"1.0","event_id":"sha256:29f1a69a80d6cb9ce7709d054774cbc77af6eef90336414a587fe8b46cef0fe9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HM54NAAIMNHJZCUYTM3L5PK4DB/bundle.json","state_url":"https://pith.science/pith/HM54NAAIMNHJZCUYTM3L5PK4DB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HM54NAAIMNHJZCUYTM3L5PK4DB/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":"2026-08-09T16:25:30Z","links":{"resolver":"https://pith.science/pith/HM54NAAIMNHJZCUYTM3L5PK4DB","bundle":"https://pith.science/pith/HM54NAAIMNHJZCUYTM3L5PK4DB/bundle.json","state":"https://pith.science/pith/HM54NAAIMNHJZCUYTM3L5PK4DB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HM54NAAIMNHJZCUYTM3L5PK4DB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HM54NAAIMNHJZCUYTM3L5PK4DB","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":"49e5731ed253cf6f8562f292a324ff68d3096b64b608e6ec31e22a9dff2ff287","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-08T12:03:58Z","title_canon_sha256":"95dfd2819d4fead425ab376a3ebfd7ce52a787858e82da4f33512a1eda3ced26"},"schema_version":"1.0","source":{"id":"2507.06275","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.06275","created_at":"2026-07-05T11:34:12Z"},{"alias_kind":"arxiv_version","alias_value":"2507.06275v1","created_at":"2026-07-05T11:34:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.06275","created_at":"2026-07-05T11:34:12Z"},{"alias_kind":"pith_short_12","alias_value":"HM54NAAIMNHJ","created_at":"2026-07-05T11:34:12Z"},{"alias_kind":"pith_short_16","alias_value":"HM54NAAIMNHJZCUY","created_at":"2026-07-05T11:34:12Z"},{"alias_kind":"pith_short_8","alias_value":"HM54NAAI","created_at":"2026-07-05T11:34:12Z"}],"graph_snapshots":[{"event_id":"sha256:29f1a69a80d6cb9ce7709d054774cbc77af6eef90336414a587fe8b46cef0fe9","target":"graph","created_at":"2026-07-05T11:34:12Z","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/2507.06275/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Offline Handwritten Text Recognition (HTR) systems play a crucial role in applications such as historical document digitization, automatic form processing, and biometric authentication. However, their performance is often hindered by the limited availability of annotated training data, particularly for low-resource languages and complex scripts. This paper presents a comprehensive survey of offline handwritten data augmentation and generation techniques designed to improve the accuracy and robustness of HTR systems. We systematically examine traditional augmentation methods alongside recent ad","authors_text":"Aram M. Ahmed, Arwaa W. Abdulkareem, Bryar A. Hassan, Joan Lu, Polla Fattah, Tarik A. Rashid, Yassin Hussein Rassul","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-08T12:03:58Z","title":"Advancing Offline Handwritten Text Recognition: A Systematic Review of Data Augmentation and Generation Techniques"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.06275","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":"sha256:144d09bf33d3993c5f9d532a92c677d704db24fc4d9b14d0dfe92e9e5d5c0a7f","target":"record","created_at":"2026-07-05T11:34:12Z","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":"49e5731ed253cf6f8562f292a324ff68d3096b64b608e6ec31e22a9dff2ff287","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-08T12:03:58Z","title_canon_sha256":"95dfd2819d4fead425ab376a3ebfd7ce52a787858e82da4f33512a1eda3ced26"},"schema_version":"1.0","source":{"id":"2507.06275","kind":"arxiv","version":1}},"canonical_sha256":"3b3bc68008634e9c8a989b36bebd5c18637475e6f0d9805ca568ca579799e4d2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b3bc68008634e9c8a989b36bebd5c18637475e6f0d9805ca568ca579799e4d2","first_computed_at":"2026-07-05T11:34:12.935340Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:34:12.935340Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0JufCeekdaN0uZl4EHeSk7Q8HxeQ44ABrnu3ws5oCTtqfonscyfB0eQKbcHmuPaPCMkyl1fG+Hd50ylOR3WTBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:34:12.935884Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.06275","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:144d09bf33d3993c5f9d532a92c677d704db24fc4d9b14d0dfe92e9e5d5c0a7f","sha256:29f1a69a80d6cb9ce7709d054774cbc77af6eef90336414a587fe8b46cef0fe9"],"state_sha256":"c8863f90dde007f2cbead34b8e9e465415306eecc5bc7ea1ad6b5cb505126018"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YGhFi1NJXR2TTkjtPmCmQn5qeOnXjOw5s/azdBf+eHAeEvhRCI3EDRY9g+gaf+E49y7GXyK/06cEuRsQZp4YAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T16:25:30.786905Z","bundle_sha256":"e3eabd09e1729af7ce18e9cbdf04f653657b307a48e4ab3eb2730825a79af155"}}