Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.03118.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:45:56.217075Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 374baade-a7fc-4e4a-8609-d378d609dd23 · inbound
Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation cites this paper.
Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:45:56.217075Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e4f2de0-b97d-40f0-980b-4e688a2f2045 · inbound
Adapting Lightweight Vision Language Models for Radiological Visual Question Answering cites this paper.
Adapting Lightweight Vision Language Models for Radiological Visual Question Answering LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:23:31.623245Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b7aa36e-fc2e-4ebc-8498-3307b4480735 · inbound
On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI cites this paper.
On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:22:23.245400Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c567a3f9-b37f-4f23-a2e2-0a8a2046a310 · inbound
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs cites this paper.
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T19:54:20.301802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation deb80ff8-176d-4eb8-b08c-f68889ec220d · inbound
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs cites this paper.
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T21:44:01.801275Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c48dec0f-91e1-4384-89d2-17e5db212467 · inbound
Lifelong Learning in Vision-Language Models: Enhanced EWC with Cross-Modal Knowledge Retention cites this paper.
Lifelong Learning in Vision-Language Models: Enhanced EWC with Cross-Modal Knowledge Retention LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T19:52:52.607742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4b98a080-8713-42a6-8c7a-7920f24ea395 · inbound
The Case for Model Science: Verify, Explore, Steer, Refine cites this paper.
The Case for Model Science: Verify, Explore, Steer, Refine LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models
Reference 210
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-28T17:32:24.972548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.