Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How Multi-Modal LLMs Reshape Visual Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.13945.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:54:18.655398Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T07:13:06.625827Z
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 58eeab0c-45e3-49f4-9d12-b022ba9cdcde · inbound
Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation Models cites this paper.
Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation Models How Multi-Modal LLMs Reshape Visual Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:54:18.655398Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 882b0845-7082-451a-a65d-acbe4c3413df · inbound
Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges cites this paper.
Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges How Multi-Modal LLMs Reshape Visual Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:35:06.031857Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation defa4c4a-2175-4611-ba56-e3c7800fc10c · inbound
MetaRA: Metamorphic Robustness Assessment for Multimodal Large Language Model-based Visual Question Answering Systems cites this paper.
MetaRA: Metamorphic Robustness Assessment for Multimodal Large Language Model-based Visual Question Answering Systems How Multi-Modal LLMs Reshape Visual Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:13:06.627458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.