Paper Citation Record · LEDGER

Do Vision-Language Models Really Understand Visual Language?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2410.00193.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.00193 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:09:12.945758Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T05:13:21.512791Z

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 8bcc6c06-589e-4811-b439-600c4ccc9304 · inbound

Overcoming Vision Language Model Challenges in Diagram Understanding: A Proof-of-Concept with XML-Driven Large Language Models Solutions cites this paper.

Overcoming Vision Language Model Challenges in Diagram Understanding: A Proof-of-Concept with XML-Driven Large Language Models Solutions Do Vision-Language Models Really Understand Visual Language?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T04:09:12.945758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ef1a41b-ba4f-41a4-bf3f-c49dd05ac35d · inbound

WIP: Large Language Model-Enhanced Smart Tutor for Undergraduate Circuit Analysis cites this paper.

WIP: Large Language Model-Enhanced Smart Tutor for Undergraduate Circuit Analysis Do Vision-Language Models Really Understand Visual Language?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:00:32.189282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aee70df0-c41f-468b-ad14-146a75c38881 · inbound

ViStruct: Simulating Expert-Like Reasoning Through Task Decomposition and Visual Attention Cues cites this paper.

ViStruct: Simulating Expert-Like Reasoning Through Task Decomposition and Visual Attention Cues Do Vision-Language Models Really Understand Visual Language?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T22:23:06.467280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9ba543e-5102-49ad-bd2c-1d24ad5fe75d · inbound

Ascending the Infinite Ladder: Benchmarking Spatial Deformation Reasoning in Vision-Language Models cites this paper.

Ascending the Infinite Ladder: Benchmarking Spatial Deformation Reasoning in Vision-Language Models Do Vision-Language Models Really Understand Visual Language?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:22:27.125186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f01fb84-53a7-4d57-8174-b08f4d95fdad · inbound

Examining Vision Language Models through Multi-dimensional Experiments with Vision and Text Features cites this paper.

Examining Vision Language Models through Multi-dimensional Experiments with Vision and Text Features Do Vision-Language Models Really Understand Visual Language?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T20:58:24.649412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb536c98-020c-4ac6-8c8b-7f2f360deeef · inbound

Can Vision-Language Models Count? A Synthetic Benchmark and Analysis of Attention-Based Interventions cites this paper.

Can Vision-Language Models Count? A Synthetic Benchmark and Analysis of Attention-Based Interventions Do Vision-Language Models Really Understand Visual Language?

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:10:11.284722Z

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 26b2dbf2-6d71-4bae-9ccb-acd527940f04 · inbound

Benchmarking and Evaluating VLMs for Software Architecture Diagram Understanding cites this paper.

Benchmarking and Evaluating VLMs for Software Architecture Diagram Understanding Do Vision-Language Models Really Understand Visual Language?

Reference 26

Resolution: verified exact; orphan_title_repair, observed 2026-05-13T17:18:02.458267Z

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 51ea26a9-8f75-4e2d-bd1e-165529af6f56 · inbound

From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models cites this paper.

From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models Do Vision-Language Models Really Understand Visual Language?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:13:21.514602Z

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 8b54b4b5-1c0a-46a6-b413-a2b356e5ee53 · inbound

Prior Bias in Vision Language Models on UML Diagram Interpretation cites this paper.

Prior Bias in Vision Language Models on UML Diagram Interpretation Do Vision-Language Models Really Understand Visual Language?

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-12T06:36:12.761601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e712cc3-8472-41e2-b623-e29e0c4283d1 · inbound

ERUnderstand: Evaluating Vision-Language Models on Structured ER Diagrams cites this paper.

ERUnderstand: Evaluating Vision-Language Models on Structured ER Diagrams Do Vision-Language Models Really Understand Visual Language?

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-31T07:19:14.207385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.