Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Where do Large Vision-Language Models Look at when Answering Questions?
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.13891.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T06:28:45.699007Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T20:58:58.571629Z
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 3d47b392-f26b-49fe-8ba2-fc7ef011a951 · inbound
LaSM: Layer-wise Scaling Mechanism for Defending Pop-up Attack on GUI Agents cites this paper.
LaSM: Layer-wise Scaling Mechanism for Defending Pop-up Attack on GUI Agents Where do Large Vision-Language Models Look at when Answering Questions?
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T04:12:02.136028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 92142dd0-425e-426d-a1ee-7514f56f1e1e · inbound
V-SEAM: Visual Semantic Editing and Attention Modulating for Causal Interpretability of Vision-Language Models cites this paper.
V-SEAM: Visual Semantic Editing and Attention Modulating for Causal Interpretability of Vision-Language Models Where do Large Vision-Language Models Look at when Answering Questions?
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T16:21:36.561269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 630cfa6c-1d13-473c-b4b5-4b452a1cc883 · inbound
Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making cites this paper.
Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making Where do Large Vision-Language Models Look at when Answering Questions?
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T06:28:45.699007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 751baa03-d9ea-44f1-878a-a470a9521866 · inbound
Measuring Cross-Modal Synergy: A Benchmark for VLM Explainability cites this paper.
Measuring Cross-Modal Synergy: A Benchmark for VLM Explainability Where do Large Vision-Language Models Look at when Answering Questions?
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T06:06:08.717537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 172c0798-7cf1-47eb-a108-0a9df966d1f9 · inbound
PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution cites this paper.
PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution Where do Large Vision-Language Models Look at when Answering Questions?
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T20:58:58.573488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.