{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:RGWNUCS5BSBKYXR36NUD6LIT3C","short_pith_number":"pith:RGWNUCS5","canonical_record":{"source":{"id":"2507.15655","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-21T14:16:44Z","cross_cats_sorted":[],"title_canon_sha256":"348f15e0df8f34d7ae4a4079452811c6b9f4fcc4dffb13f735c39c49b61c048b","abstract_canon_sha256":"f771d34519c6911d1bd22e04ce3fd062cad0045359d8c9ee9ac1cb00ef0d1c06"},"schema_version":"1.0"},"canonical_sha256":"89acda0a5d0c82ac5e3bf3683f2d13d8b5f270576ee51f3592fb75e1b95e0507","source":{"kind":"arxiv","id":"2507.15655","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.15655","created_at":"2026-07-05T11:40:41Z"},{"alias_kind":"arxiv_version","alias_value":"2507.15655v1","created_at":"2026-07-05T11:40:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.15655","created_at":"2026-07-05T11:40:41Z"},{"alias_kind":"pith_short_12","alias_value":"RGWNUCS5BSBK","created_at":"2026-07-05T11:40:41Z"},{"alias_kind":"pith_short_16","alias_value":"RGWNUCS5BSBKYXR3","created_at":"2026-07-05T11:40:41Z"},{"alias_kind":"pith_short_8","alias_value":"RGWNUCS5","created_at":"2026-07-05T11:40:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:RGWNUCS5BSBKYXR36NUD6LIT3C","target":"record","payload":{"canonical_record":{"source":{"id":"2507.15655","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-21T14:16:44Z","cross_cats_sorted":[],"title_canon_sha256":"348f15e0df8f34d7ae4a4079452811c6b9f4fcc4dffb13f735c39c49b61c048b","abstract_canon_sha256":"f771d34519c6911d1bd22e04ce3fd062cad0045359d8c9ee9ac1cb00ef0d1c06"},"schema_version":"1.0"},"canonical_sha256":"89acda0a5d0c82ac5e3bf3683f2d13d8b5f270576ee51f3592fb75e1b95e0507","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:40:41.446765Z","signature_b64":"yxIKrKud0Xm/FtdpTK6GexCmAO1DD9U8Ov7F0dXcnvvD1oLab/s/mMdQBcTKga5uRnyA8F43Y5qgHO1JwcoiDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"89acda0a5d0c82ac5e3bf3683f2d13d8b5f270576ee51f3592fb75e1b95e0507","last_reissued_at":"2026-07-05T11:40:41.446265Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:40:41.446265Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.15655","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":"2026-07-05T11:40:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kqkE8FSwSZm/74bQUwJk+P8FPgo6YKnSLxGH9FvW4kHzirDk9fNrm/1AqfI/2ZjN5kE+4Yapg0hkiwHLF6wOCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T00:15:11.980088Z"},"content_sha256":"de6cb78f107de3cfa6f7571643b0b2b18a585393386487344ceab4173cde8a87","schema_version":"1.0","event_id":"sha256:de6cb78f107de3cfa6f7571643b0b2b18a585393386487344ceab4173cde8a87"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:RGWNUCS5BSBKYXR36NUD6LIT3C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"HW-MLVQA: Elucidating Multilingual Handwritten Document Understanding with a Comprehensive VQA Benchmark","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ajoy Mondal, Aniket Pal, C.V. Jawahar, Minesh Mathew","submitted_at":"2025-07-21T14:16:44Z","abstract_excerpt":"The proliferation of MultiLingual Visual Question Answering (MLVQA) benchmarks augments the capabilities of large language models (LLMs) and multi-modal LLMs, thereby enabling them to adeptly capture the intricate linguistic subtleties and visual complexities inherent across diverse languages. Despite its potential, the current MLVQA model struggles to fully utilize its capabilities when dealing with the extensive variety of handwritten documents. This article delineates HW-MLVQA, an avant-garde VQA benchmark meticulously crafted to mitigate the dearth of authentic Multilingual Handwritten doc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.15655","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/2507.15655/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":"2026-07-05T11:40:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bD+sI1jBoDWkMCgcvPd1uSCcOoKJj90bDNHfhcnfzvxjJ/8kjtm2lXr7o6s7dtOVVc2/mNxhfSPFFA9O9XoWDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T00:15:11.980476Z"},"content_sha256":"db913d245244adb2b3da1f2489748a1da5b14f888cf727d6bc3bc151edb7ea02","schema_version":"1.0","event_id":"sha256:db913d245244adb2b3da1f2489748a1da5b14f888cf727d6bc3bc151edb7ea02"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RGWNUCS5BSBKYXR36NUD6LIT3C/bundle.json","state_url":"https://pith.science/pith/RGWNUCS5BSBKYXR36NUD6LIT3C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RGWNUCS5BSBKYXR36NUD6LIT3C/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":"2026-07-09T00:15:11Z","links":{"resolver":"https://pith.science/pith/RGWNUCS5BSBKYXR36NUD6LIT3C","bundle":"https://pith.science/pith/RGWNUCS5BSBKYXR36NUD6LIT3C/bundle.json","state":"https://pith.science/pith/RGWNUCS5BSBKYXR36NUD6LIT3C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RGWNUCS5BSBKYXR36NUD6LIT3C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:RGWNUCS5BSBKYXR36NUD6LIT3C","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":"f771d34519c6911d1bd22e04ce3fd062cad0045359d8c9ee9ac1cb00ef0d1c06","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-21T14:16:44Z","title_canon_sha256":"348f15e0df8f34d7ae4a4079452811c6b9f4fcc4dffb13f735c39c49b61c048b"},"schema_version":"1.0","source":{"id":"2507.15655","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.15655","created_at":"2026-07-05T11:40:41Z"},{"alias_kind":"arxiv_version","alias_value":"2507.15655v1","created_at":"2026-07-05T11:40:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.15655","created_at":"2026-07-05T11:40:41Z"},{"alias_kind":"pith_short_12","alias_value":"RGWNUCS5BSBK","created_at":"2026-07-05T11:40:41Z"},{"alias_kind":"pith_short_16","alias_value":"RGWNUCS5BSBKYXR3","created_at":"2026-07-05T11:40:41Z"},{"alias_kind":"pith_short_8","alias_value":"RGWNUCS5","created_at":"2026-07-05T11:40:41Z"}],"graph_snapshots":[{"event_id":"sha256:db913d245244adb2b3da1f2489748a1da5b14f888cf727d6bc3bc151edb7ea02","target":"graph","created_at":"2026-07-05T11:40:41Z","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/2507.15655/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The proliferation of MultiLingual Visual Question Answering (MLVQA) benchmarks augments the capabilities of large language models (LLMs) and multi-modal LLMs, thereby enabling them to adeptly capture the intricate linguistic subtleties and visual complexities inherent across diverse languages. Despite its potential, the current MLVQA model struggles to fully utilize its capabilities when dealing with the extensive variety of handwritten documents. This article delineates HW-MLVQA, an avant-garde VQA benchmark meticulously crafted to mitigate the dearth of authentic Multilingual Handwritten doc","authors_text":"Ajoy Mondal, Aniket Pal, C.V. Jawahar, Minesh Mathew","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-21T14:16:44Z","title":"HW-MLVQA: Elucidating Multilingual Handwritten Document Understanding with a Comprehensive VQA Benchmark"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.15655","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:de6cb78f107de3cfa6f7571643b0b2b18a585393386487344ceab4173cde8a87","target":"record","created_at":"2026-07-05T11:40:41Z","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":"f771d34519c6911d1bd22e04ce3fd062cad0045359d8c9ee9ac1cb00ef0d1c06","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-21T14:16:44Z","title_canon_sha256":"348f15e0df8f34d7ae4a4079452811c6b9f4fcc4dffb13f735c39c49b61c048b"},"schema_version":"1.0","source":{"id":"2507.15655","kind":"arxiv","version":1}},"canonical_sha256":"89acda0a5d0c82ac5e3bf3683f2d13d8b5f270576ee51f3592fb75e1b95e0507","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"89acda0a5d0c82ac5e3bf3683f2d13d8b5f270576ee51f3592fb75e1b95e0507","first_computed_at":"2026-07-05T11:40:41.446265Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:40:41.446265Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yxIKrKud0Xm/FtdpTK6GexCmAO1DD9U8Ov7F0dXcnvvD1oLab/s/mMdQBcTKga5uRnyA8F43Y5qgHO1JwcoiDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:40:41.446765Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.15655","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de6cb78f107de3cfa6f7571643b0b2b18a585393386487344ceab4173cde8a87","sha256:db913d245244adb2b3da1f2489748a1da5b14f888cf727d6bc3bc151edb7ea02"],"state_sha256":"aec7815db07b7ef98fb99fd48c37e7f2362fbdd1a514e7b5849161d8a644f306"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UPx7vTyMeCR4CXBHYNrqRScXI4jtoehfsRMwlDmtQPnWtswDgi8hdnbrsyJ990m1IY011yw9/bpng9WVgHZRDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T00:15:11.982515Z","bundle_sha256":"b6f6fd5b5f261f38abb4fa86e35fca92553e21924d9f2066e4e08bc37da0ece0"}}