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Paper Citation Record · LEDGER

MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge Distillation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.14171.

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

pith.paper-citation-record.v1
2403.14171 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:53:41.608131Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T19:31:13.320700Z

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 10086298-236c-4145-85e6-aaf60a05dfb8 · inbound

Multimodal Fact-Checking with Vision Language Models: A Probing Classifier based Solution with Embedding Strategies cites this paper.

Multimodal Fact-Checking with Vision Language Models: A Probing Classifier based Solution with Embedding Strategies MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge Distillation

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:41.608131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:53:41.608131Z digest=sha256:b8c07eb23fab293c824ef09a76947f590b35e3a093919875fe61c12663015204

Observation 34758a58-a33d-4827-a770-a8ff29439a56 · inbound

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection cites this paper.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge Distillation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T10:26:07.002668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:26:07.002668Z digest=sha256:1b06fa99916dab5b7f382b6c3b169d491ce6dd44542a4f4509ba9cebed5cc8ce

Observation 7eb213e4-be11-408d-8c71-54640cfc4341 · inbound

Multi-agent Systems for Misinformation Lifecycle : Detection, Correction And Source Identification cites this paper.

Multi-agent Systems for Misinformation Lifecycle : Detection, Correction And Source Identification MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge Distillation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:00.456470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:47:00.456470Z digest=sha256:f36365d768916d1f5ac8c5767c2a9dc15c97f48353bce0a3f225c5b4e8963e08

Observation 812c33da-b902-4e3e-9244-4625076419a8 · inbound

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks cites this paper.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge Distillation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T06:05:30.775150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:05:30.775150Z digest=sha256:c5366aa4db4278b5355db8685c448c66cbd2f487c0dac18e1f71474d27b19402

Observation a9d9bf85-fac3-48e5-ab2e-d2d7f6554bcd · inbound

RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild cites this paper.

RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge Distillation

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:31:13.323506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T19:28:44.365827Z digest=sha256:730bcd3626ccb26402038b61dc53a40c073321384cdcc0ad185eb50360f6ff45