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Paper Citation Record · LEDGER

Enhanced Multimodal RAG-LLM for Accurate Visual Question Answering

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.20927.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.20927 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:32:59.328846Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T20:31:13.120992Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5fb72a77-095b-4c06-bc10-d5c4256a4135 · inbound

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation cites this paper.

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation Enhanced Multimodal RAG-LLM for Accurate Visual Question Answering

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:59.328846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:59.328846Z digest=sha256:9a3676f1063c623928b5af3e607b67f8b12c9e2e91d3fb3a490c7b593c045de0

Observation 4b089aba-6d03-40aa-aa09-17fffb426cfd · inbound

UpstreamQA: A Modular Framework for Explicit Reasoning on Video Question Answering Tasks cites this paper.

UpstreamQA: A Modular Framework for Explicit Reasoning on Video Question Answering Tasks Enhanced Multimodal RAG-LLM for Accurate Visual Question Answering

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:31:13.127341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T08:41:42.061219Z digest=sha256:f034384114687e73c91bf33556bd3d12df03b6899beeae921943e85fafc797ff