Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models Versus Fine-Tuned Vision Transformers in Image-Based Security Applications
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.17787.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T05:54:33.816350Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T23:42:15.372587Z
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 ae79573f-fe21-4444-adb4-2bd8db301d50 · inbound
To Ensemble or Not: Assessing Majority Voting Strategies for Phishing Detection with Large Language Models cites this paper.
To Ensemble or Not: Assessing Majority Voting Strategies for Phishing Detection with Large Language Models Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models Versus Fine-Tuned Vision Transformers in Image-Based Security Applications
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:54:33.816350Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40b50884-ed7d-44ce-93b2-2d6aded5ff33 · inbound
Large Multimodal Agents for Accurate Phishing Detection with Enhanced Token Optimization and Cost Reduction cites this paper.
Large Multimodal Agents for Accurate Phishing Detection with Enhanced Token Optimization and Cost Reduction Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models Versus Fine-Tuned Vision Transformers in Image-Based Security Applications
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T23:42:15.378820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.