Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge Distillation
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.14171.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:47:00.456470Z
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 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.
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.
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 2026-08-08T06:32:00.761636+00:00.