Paper Citation Record · LEDGER

Can LLMs Improve Multimodal Fact-Checking by Asking Relevant Questions?

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.04616.

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

pith.paper-citation-record.v1
2410.04616 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:56:57.800865Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:05:52.630398Z

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 e27f21b5-c215-48e7-9457-ab82b2409fb7 · inbound

MID-L: Matrix-Interpolated Dropout Layer with Layer-wise Neuron Selection cites this paper.

MID-L: Matrix-Interpolated Dropout Layer with Layer-wise Neuron Selection Can LLMs Improve Multimodal Fact-Checking by Asking Relevant Questions?

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:56:57.800865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f4c8b79-16f6-4a57-8b36-7ffde87eebe9 · inbound

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking cites this paper.

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking Can LLMs Improve Multimodal Fact-Checking by Asking Relevant Questions?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:46.179013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68d7183d-d260-4832-a783-88d45cf3c915 · inbound

HKD4VLM: A Progressive Hybrid Knowledge Distillation Framework for Robust Multimodal Hallucination and Factuality Detection in VLMs cites this paper.

HKD4VLM: A Progressive Hybrid Knowledge Distillation Framework for Robust Multimodal Hallucination and Factuality Detection in VLMs Can LLMs Improve Multimodal Fact-Checking by Asking Relevant Questions?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:41.092038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a4e5e74-d8f9-4f9d-a20e-847d616b4f34 · inbound

MNIST-Gen: A Modular MNIST-Style Dataset Generation Using Hierarchical Semantics, Reinforcement Learning, and Category Theory cites this paper.

MNIST-Gen: A Modular MNIST-Style Dataset Generation Using Hierarchical Semantics, Reinforcement Learning, and Category Theory Can LLMs Improve Multimodal Fact-Checking by Asking Relevant Questions?

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:05:52.633566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.