{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:YLGILXVLBXRTUL5Q4BPKV6G2DB","short_pith_number":"pith:YLGILXVL","schema_version":"1.0","canonical_sha256":"c2cc85deab0de33a2fb0e05eaaf8da187a79b6ad2ef37fc887e110d9b9f2d134","source":{"kind":"arxiv","id":"2607.10798","version":1},"attestation_state":"computed","paper":{"title":"Trust Before Fusion: QIMG-7 and Source-Aware Resolution for Polluted Multimodal RAG","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Owais Aijaz, Preslav Nakov, Saadeldine Eletter","submitted_at":"2026-07-12T15:13:09Z","abstract_excerpt":"Multimodal retrieval-augmented generation (RAG) is often evaluated with clean evidence, yet real retrieval can return topically relevant but unreliable content: false text and misleading images from corrupted metadata, entity swaps, typographic overlays, semantic edits, adversarial patches, blends, or style transfer. We introduce QIMG-7, a controlled benchmark for multimodal retrieval pollution in multi-sentence factual QA, spanning four datasets, seven image-attack families, and 16 paired clean/polluted regimes, for 1,760 evaluation rows per method. Across four generator/gate stacks, naive mu"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.10798","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-12T15:13:09Z","cross_cats_sorted":[],"title_canon_sha256":"316676fe0bea68d1171c61d5f3d0d0b026189ac1d248b74a5343f67fc4c5cbfa","abstract_canon_sha256":"4d78a293b2277c9a66e6558c066a2b06e9143faa44e20071ad48465a7609a2a3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-14T01:21:40.658283Z","signature_b64":"8GtKgvGjC35Ce2N+2ubgwpmk7XRtUcseqVF9n6rLwITJAAU4ZTSWMz3GIgJn/H/pZ4blERJEEKwfOIo/jTYgBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c2cc85deab0de33a2fb0e05eaaf8da187a79b6ad2ef37fc887e110d9b9f2d134","last_reissued_at":"2026-07-14T01:21:40.657450Z","signature_status":"signed_v1","first_computed_at":"2026-07-14T01:21:40.657450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Trust Before Fusion: QIMG-7 and Source-Aware Resolution for Polluted Multimodal RAG","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Owais Aijaz, Preslav Nakov, Saadeldine Eletter","submitted_at":"2026-07-12T15:13:09Z","abstract_excerpt":"Multimodal retrieval-augmented generation (RAG) is often evaluated with clean evidence, yet real retrieval can return topically relevant but unreliable content: false text and misleading images from corrupted metadata, entity swaps, typographic overlays, semantic edits, adversarial patches, blends, or style transfer. We introduce QIMG-7, a controlled benchmark for multimodal retrieval pollution in multi-sentence factual QA, spanning four datasets, seven image-attack families, and 16 paired clean/polluted regimes, for 1,760 evaluation rows per method. Across four generator/gate stacks, naive mu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.10798","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/2607.10798/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.10798","created_at":"2026-07-14T01:21:40.657884+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.10798v1","created_at":"2026-07-14T01:21:40.657884+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.10798","created_at":"2026-07-14T01:21:40.657884+00:00"},{"alias_kind":"pith_short_12","alias_value":"YLGILXVLBXRT","created_at":"2026-07-14T01:21:40.657884+00:00"},{"alias_kind":"pith_short_16","alias_value":"YLGILXVLBXRTUL5Q","created_at":"2026-07-14T01:21:40.657884+00:00"},{"alias_kind":"pith_short_8","alias_value":"YLGILXVL","created_at":"2026-07-14T01:21:40.657884+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/YLGILXVLBXRTUL5Q4BPKV6G2DB","json":"https://pith.science/pith/YLGILXVLBXRTUL5Q4BPKV6G2DB.json","graph_json":"https://pith.science/api/pith-number/YLGILXVLBXRTUL5Q4BPKV6G2DB/graph.json","events_json":"https://pith.science/api/pith-number/YLGILXVLBXRTUL5Q4BPKV6G2DB/events.json","paper":"https://pith.science/paper/YLGILXVL"},"agent_actions":{"view_html":"https://pith.science/pith/YLGILXVLBXRTUL5Q4BPKV6G2DB","download_json":"https://pith.science/pith/YLGILXVLBXRTUL5Q4BPKV6G2DB.json","view_paper":"https://pith.science/paper/YLGILXVL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.10798&json=true","fetch_graph":"https://pith.science/api/pith-number/YLGILXVLBXRTUL5Q4BPKV6G2DB/graph.json","fetch_events":"https://pith.science/api/pith-number/YLGILXVLBXRTUL5Q4BPKV6G2DB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YLGILXVLBXRTUL5Q4BPKV6G2DB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YLGILXVLBXRTUL5Q4BPKV6G2DB/action/storage_attestation","attest_author":"https://pith.science/pith/YLGILXVLBXRTUL5Q4BPKV6G2DB/action/author_attestation","sign_citation":"https://pith.science/pith/YLGILXVLBXRTUL5Q4BPKV6G2DB/action/citation_signature","submit_replication":"https://pith.science/pith/YLGILXVLBXRTUL5Q4BPKV6G2DB/action/replication_record"}},"created_at":"2026-07-14T01:21:40.657884+00:00","updated_at":"2026-07-14T01:21:40.657884+00:00"}