{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:65SVTELMDUSKNL35DEB3GUA6OK","short_pith_number":"pith:65SVTELM","canonical_record":{"source":{"id":"2508.07493","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-10T21:44:43Z","cross_cats_sorted":[],"title_canon_sha256":"d6a68b8e8ddd8ca5419f53357e9fae0e901abd8362a2381c69a41f2500468053","abstract_canon_sha256":"6f08f904e418dde2a282a90e26ce5be22fcba298dd3181f70f1f966f7aa2c5d0"},"schema_version":"1.0"},"canonical_sha256":"f76559916c1d24a6af7d1903b3501e7282a622eddaa9a50960df4c60c647e070","source":{"kind":"arxiv","id":"2508.07493","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.07493","created_at":"2026-07-05T11:58:34Z"},{"alias_kind":"arxiv_version","alias_value":"2508.07493v2","created_at":"2026-07-05T11:58:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.07493","created_at":"2026-07-05T11:58:34Z"},{"alias_kind":"pith_short_12","alias_value":"65SVTELMDUSK","created_at":"2026-07-05T11:58:34Z"},{"alias_kind":"pith_short_16","alias_value":"65SVTELMDUSKNL35","created_at":"2026-07-05T11:58:34Z"},{"alias_kind":"pith_short_8","alias_value":"65SVTELM","created_at":"2026-07-05T11:58:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:65SVTELMDUSKNL35DEB3GUA6OK","target":"record","payload":{"canonical_record":{"source":{"id":"2508.07493","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-10T21:44:43Z","cross_cats_sorted":[],"title_canon_sha256":"d6a68b8e8ddd8ca5419f53357e9fae0e901abd8362a2381c69a41f2500468053","abstract_canon_sha256":"6f08f904e418dde2a282a90e26ce5be22fcba298dd3181f70f1f966f7aa2c5d0"},"schema_version":"1.0"},"canonical_sha256":"f76559916c1d24a6af7d1903b3501e7282a622eddaa9a50960df4c60c647e070","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:58:34.370171Z","signature_b64":"K0xxYIyAjv7EZiCUfZaYvTT5+OhfntItu88c/PUilcZUQLihMVTu1xK7Sr6Y9I/F24SzCpS+BRA0t78TdSrkAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f76559916c1d24a6af7d1903b3501e7282a622eddaa9a50960df4c60c647e070","last_reissued_at":"2026-07-05T11:58:34.369718Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:58:34.369718Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.07493","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:58:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mbfHimPKDxX5jaE8moSx8F3CXGmpADyVLP3fL7JrNlEYW73Fz5qx6sLBW3hWSQugp5C12jxC6zsVCVQDHqfWDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T21:41:24.463901Z"},"content_sha256":"f4785829cc4fa84fe7ea165addbb62edece8d8461363b1ad9baec16f17b9b4b5","schema_version":"1.0","event_id":"sha256:f4785829cc4fa84fe7ea165addbb62edece8d8461363b1ad9baec16f17b9b4b5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:65SVTELMDUSKNL35DEB3GUA6OK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changyou Chen, Chenguang Wang, Jian Chen, Jihyung Kil, Ming Li, Ruiyi Zhang, Ryan Rossi, Tianyi Zhou, Tong Yu","submitted_at":"2025-08-10T21:44:43Z","abstract_excerpt":"Most organizational data in this world are stored as documents, and visual retrieval plays a crucial role in unlocking the collective intelligence from all these documents. However, existing benchmarks focus on English-only document retrieval or only consider multilingual question-answering on a single-page image. To bridge this gap, we introduce VisR-Bench, a multilingual benchmark designed for question-driven multimodal retrieval in long documents. Our benchmark comprises over 35K high-quality QA pairs across 1.2K documents, enabling fine-grained evaluation of multimodal retrieval. VisR-Benc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.07493","kind":"arxiv","version":2},"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/2508.07493/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":"2026-07-05T11:58:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"InFji6kcGoVCFRpgaA3PoKIXfnd6GPw+/zn4+4+BnGXCs9vI8Bd8fk7B4u8PQ80LB1izAPrS8qQQVwmuRRAXAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T21:41:24.464812Z"},"content_sha256":"d2083bcdbb8582382fa35e8ddcb36e036e7d820c827f9d412dc51d578bdd4312","schema_version":"1.0","event_id":"sha256:d2083bcdbb8582382fa35e8ddcb36e036e7d820c827f9d412dc51d578bdd4312"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/65SVTELMDUSKNL35DEB3GUA6OK/bundle.json","state_url":"https://pith.science/pith/65SVTELMDUSKNL35DEB3GUA6OK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/65SVTELMDUSKNL35DEB3GUA6OK/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":"2026-08-15T21:41:24Z","links":{"resolver":"https://pith.science/pith/65SVTELMDUSKNL35DEB3GUA6OK","bundle":"https://pith.science/pith/65SVTELMDUSKNL35DEB3GUA6OK/bundle.json","state":"https://pith.science/pith/65SVTELMDUSKNL35DEB3GUA6OK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/65SVTELMDUSKNL35DEB3GUA6OK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:65SVTELMDUSKNL35DEB3GUA6OK","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":"6f08f904e418dde2a282a90e26ce5be22fcba298dd3181f70f1f966f7aa2c5d0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-10T21:44:43Z","title_canon_sha256":"d6a68b8e8ddd8ca5419f53357e9fae0e901abd8362a2381c69a41f2500468053"},"schema_version":"1.0","source":{"id":"2508.07493","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.07493","created_at":"2026-07-05T11:58:34Z"},{"alias_kind":"arxiv_version","alias_value":"2508.07493v2","created_at":"2026-07-05T11:58:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.07493","created_at":"2026-07-05T11:58:34Z"},{"alias_kind":"pith_short_12","alias_value":"65SVTELMDUSK","created_at":"2026-07-05T11:58:34Z"},{"alias_kind":"pith_short_16","alias_value":"65SVTELMDUSKNL35","created_at":"2026-07-05T11:58:34Z"},{"alias_kind":"pith_short_8","alias_value":"65SVTELM","created_at":"2026-07-05T11:58:34Z"}],"graph_snapshots":[{"event_id":"sha256:d2083bcdbb8582382fa35e8ddcb36e036e7d820c827f9d412dc51d578bdd4312","target":"graph","created_at":"2026-07-05T11:58:34Z","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/2508.07493/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Most organizational data in this world are stored as documents, and visual retrieval plays a crucial role in unlocking the collective intelligence from all these documents. However, existing benchmarks focus on English-only document retrieval or only consider multilingual question-answering on a single-page image. To bridge this gap, we introduce VisR-Bench, a multilingual benchmark designed for question-driven multimodal retrieval in long documents. Our benchmark comprises over 35K high-quality QA pairs across 1.2K documents, enabling fine-grained evaluation of multimodal retrieval. VisR-Benc","authors_text":"Changyou Chen, Chenguang Wang, Jian Chen, Jihyung Kil, Ming Li, Ruiyi Zhang, Ryan Rossi, Tianyi Zhou, Tong Yu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-10T21:44:43Z","title":"VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.07493","kind":"arxiv","version":2},"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:f4785829cc4fa84fe7ea165addbb62edece8d8461363b1ad9baec16f17b9b4b5","target":"record","created_at":"2026-07-05T11:58:34Z","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":"6f08f904e418dde2a282a90e26ce5be22fcba298dd3181f70f1f966f7aa2c5d0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-10T21:44:43Z","title_canon_sha256":"d6a68b8e8ddd8ca5419f53357e9fae0e901abd8362a2381c69a41f2500468053"},"schema_version":"1.0","source":{"id":"2508.07493","kind":"arxiv","version":2}},"canonical_sha256":"f76559916c1d24a6af7d1903b3501e7282a622eddaa9a50960df4c60c647e070","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f76559916c1d24a6af7d1903b3501e7282a622eddaa9a50960df4c60c647e070","first_computed_at":"2026-07-05T11:58:34.369718Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:58:34.369718Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"K0xxYIyAjv7EZiCUfZaYvTT5+OhfntItu88c/PUilcZUQLihMVTu1xK7Sr6Y9I/F24SzCpS+BRA0t78TdSrkAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:58:34.370171Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.07493","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f4785829cc4fa84fe7ea165addbb62edece8d8461363b1ad9baec16f17b9b4b5","sha256:d2083bcdbb8582382fa35e8ddcb36e036e7d820c827f9d412dc51d578bdd4312"],"state_sha256":"93da703133719c61e9d3b2a61c41b78d4a4213cbd0c2bb5b0e588a0596f99bd6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+jVrrKe9rJAC2FNOFqS4dE2dL0gCiIEXRIP5pdAJsqJqu+0elncB8XZmVfpc8Ij7upAwOfFin6X5ByFFH7vPDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T21:41:24.469786Z","bundle_sha256":"4097125b83e7fc638ba6acd5cb6b4810697f1056634864d356b396c3ac20030c"}}