{"as_of":"2026-08-10T12:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:863bab8f3d001ca6b7b28f204fd20b957f0ee2153963770cf2e835395027d2fc","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:32:59.328846Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T20:31:13.120992Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.20927","last_updated":"2024-12-30T13:16:08Z","snapshot_observed_at":"2026-08-10T05:00:16.716629Z","submitted_at":"2024-12-30T13:16:08Z","title":"Enhanced Multimodal RAG-LLM for Accurate Visual Question Answering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20927","snapshot_observed_at":"2026-08-07T14:32:59.328846Z","title":"Enhanced multimodal rag-llm for accurate visual question answering","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18543","last_updated":"2025-05-24T06:17:59Z","snapshot_observed_at":"2026-08-09T13:15:45.915554Z","submitted_at":"2025-05-24T06:17:59Z","title":"Benchmarking Poisoning Attacks against Retrieval-Augmented Generation","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:59.328846Z"},"links":{"cited_paper":"/paper/2412.20927","citing_paper":"/paper/2505.18543"},"observation_digest":"sha256:a79c7621f34828fc8e63db67e873756bcc5807eb0372c9680560ef57edbb2b44","observation_id":"5fb72a77-095b-4c06-bc10-d5c4256a4135","resolution":{"observed_at":"2026-08-07T14:32:59.328846Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20927","last_updated":"2024-12-30T13:16:08Z","snapshot_observed_at":"2026-08-10T05:00:16.716629Z","submitted_at":"2024-12-30T13:16:08Z","title":"Enhanced Multimodal RAG-LLM for Accurate Visual Question Answering","version":1},"cited_work":{"arxiv_id":"2412.20927","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.20927","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Enhanced multimodal rag-llm for accurate visual question answering","venue":null,"work_id":"4af9d017-c656-455c-9258-683b5902a0ad","year":2024},"citing_paper":{"arxiv_id":"2604.23145","last_updated":"2026-04-25T05:07:43Z","snapshot_observed_at":"2026-08-03T01:16:00.979324Z","submitted_at":"2026-04-25T05:07:43Z","title":"UpstreamQA: A Modular Framework for Explicit Reasoning on Video Question Answering Tasks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-08T08:41:42.061219Z"},"links":{"cited_paper":"/paper/2412.20927","citing_paper":"/paper/2604.23145"},"observation_digest":"sha256:eda16d9e96e35dcd01fc2143c6332e99c9258dfd2288124b29a86d389fa39669","observation_id":"4b089aba-6d03-40aa-aa09-17fffb426cfd","resolution":{"observed_at":"2026-05-11T20:31:13.127341Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.20927/citation-record","integrity":"/paper/2412.20927/integrity","json":"/paper/2412.20927/citation-record.json","paper":"/paper/2412.20927"},"outbound":[],"paper":{"arxiv_id":"2412.20927","last_updated":"2024-12-30T13:16:08Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T05:00:16.716629Z","submitted_at":"2024-12-30T13:16:08Z","title":"Enhanced Multimodal RAG-LLM for Accurate Visual Question Answering"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.20927."}