Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.16320.
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 2026-08-02T14:52:14.568462Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T13:24:11.050059Z
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 cb91836a-8f82-4a96-b8bd-ef98b59e3df0 · inbound
Meltdown: Circuits and Bifurcations in Point-Cloud-Conditioned 3D Diffusion Transformers cites this paper.
Meltdown: Circuits and Bifurcations in Point-Cloud-Conditioned 3D Diffusion Transformers What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T13:24:11.052471Z
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.
Observation 1b299f82-159e-4581-81d9-88b94b8f0090 · inbound
Latent Anomaly Knowledge Excavation: Unveiling Sparse Sensitive Neurons in Vision-Language Models cites this paper.
Latent Anomaly Knowledge Excavation: Unveiling Sparse Sensitive Neurons in Vision-Language Models What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T06:51:18.787071Z
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.
Observation 6f9b7b91-0fce-4379-a4e6-d42402572b2a · inbound
CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering cites this paper.
CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-09T06:50:40.236430Z
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.
Observation 851f8b07-d29d-4ae4-8889-86686883b293 · inbound
CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering cites this paper.
CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:52:14.568462Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5427786-c7fb-4579-b6ea-7cd131e35a99 · inbound
How Do VLMs Fail? Vision-Operation Misalignment in Compositional VQA cites this paper.
How Do VLMs Fail? Vision-Operation Misalignment in Compositional VQA What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T21:26:10.251986Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf8d34d4-5244-45c0-b470-6d083ddf2223 · inbound
What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning cites this paper.
What Do They See? Interpreting Complex Road Scenarios Through the Eyes of Vision-Language-Action Models for Safe and Trustworthy Autonomous Vehicle Learning What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:34:23.641134Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46cd0e31-d3f4-400a-bacb-3de9df20f007 · inbound
ENTRAP-VL: A Taxonomic Probe for Dual Contextual Entrainment in Vision-Language Models cites this paper.
ENTRAP-VL: A Taxonomic Probe for Dual Contextual Entrainment in Vision-Language Models What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T10:51:18.750007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.