{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:STJ6XBNKM6V5A6FOOGYSQXCPKH","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":"866cd953665bb2758f25e71180280b50e306307830773981ef52af5c073235ac","cross_cats_sorted":["cs.CL","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-03T04:32:27Z","title_canon_sha256":"f989c45314f5e468ded42d936cfa44eb40eca2e231d67213f1c866a13578c9a1"},"schema_version":"1.0","source":{"id":"2501.01629","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.01629","created_at":"2026-07-05T09:56:27Z"},{"alias_kind":"arxiv_version","alias_value":"2501.01629v1","created_at":"2026-07-05T09:56:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.01629","created_at":"2026-07-05T09:56:27Z"},{"alias_kind":"pith_short_12","alias_value":"STJ6XBNKM6V5","created_at":"2026-07-05T09:56:27Z"},{"alias_kind":"pith_short_16","alias_value":"STJ6XBNKM6V5A6FO","created_at":"2026-07-05T09:56:27Z"},{"alias_kind":"pith_short_8","alias_value":"STJ6XBNK","created_at":"2026-07-05T09:56:27Z"}],"graph_snapshots":[{"event_id":"sha256:475e57ef7fcee9fbf716c4bdc048d4a5d7ab7b0d8740f91211df3b5e1c523c35","target":"graph","created_at":"2026-07-05T09:56:27Z","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/2501.01629/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this project, we develop a practical and efficient solution for automating the Manhwa translation from Indonesian to English. Our approach combines computer vision, text recognition, and natural language processing techniques to streamline the traditionally manual process of Manhwa(Korean comics) translation. The pipeline includes fine-tuned YOLOv5xu for speech bubble detection, Tesseract for OCR and fine-tuned MarianMT for machine translation. By automating these steps, we aim to make Manhwa more accessible to a global audience while saving time and effort compared to manual translation me","authors_text":"Nithyasri Narasimhan, Sagarika Singh","cross_cats":["cs.CL","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-03T04:32:27Z","title":"Crossing Language Borders: A Pipeline for Indonesian Manhwa Translation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.01629","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:a3fd0595e4e37678c177db10404a70a2e86ec53fea8132740a1798cb9a8840ec","target":"record","created_at":"2026-07-05T09:56:27Z","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":"866cd953665bb2758f25e71180280b50e306307830773981ef52af5c073235ac","cross_cats_sorted":["cs.CL","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-03T04:32:27Z","title_canon_sha256":"f989c45314f5e468ded42d936cfa44eb40eca2e231d67213f1c866a13578c9a1"},"schema_version":"1.0","source":{"id":"2501.01629","kind":"arxiv","version":1}},"canonical_sha256":"94d3eb85aa67abd078ae71b1285c4f51c8a43d9f43bde4971b7923ab3f6441ff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"94d3eb85aa67abd078ae71b1285c4f51c8a43d9f43bde4971b7923ab3f6441ff","first_computed_at":"2026-07-05T09:56:27.889565Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:56:27.889565Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ht7lLB7kqoh2AMb+OakGP0STtw1PTjZUk6uceycWcYRW+fvI8GXQMngJ8CRsPvwVdadydw7pnZiC46J7T2OOCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:56:27.890072Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.01629","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a3fd0595e4e37678c177db10404a70a2e86ec53fea8132740a1798cb9a8840ec","sha256:475e57ef7fcee9fbf716c4bdc048d4a5d7ab7b0d8740f91211df3b5e1c523c35"],"state_sha256":"e7286221ab386e4f02e119fd0786be6e99b463a3cc78ebb8c201cd355d2d0769"}