Paper Citation Record · LEDGER

Vision language models are blind: Failing to translate detailed visual features into words

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 43 inbound Pith citation observations for arXiv:2407.06581.

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

pith.paper-citation-record.v1
2407.06581 v6

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 43 of 43 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 43 of 43 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:51:35.338457Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

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External citation measurements

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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 f7b1ae63-f76c-4a55-a981-3775661d04d5 · inbound

BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games cites this paper.

BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games Vision language models are blind: Failing to translate detailed visual features into words

Reference 59

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Observation a475d0bc-3f9e-4cb2-ae1e-2501bbea77d6 · inbound

De-biased Multimodal Electrocardiogram Analysis cites this paper.

De-biased Multimodal Electrocardiogram Analysis Vision language models are blind: Failing to translate detailed visual features into words

Reference 31

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Observation cb4b85c9-31a7-49a8-a768-9ea4b3c326fe · inbound

AV-Odyssey Bench: Can Your Multimodal LLMs Really Understand Audio-Visual Information? cites this paper.

AV-Odyssey Bench: Can Your Multimodal LLMs Really Understand Audio-Visual Information? Vision language models are blind: Failing to translate detailed visual features into words

Reference 61

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Observation 39761a1e-ab19-4615-912c-6fc91ee58bac · inbound

ZeroKey: Point-Level Reasoning and Zero-Shot 3D Keypoint Detection from Large Language Models cites this paper.

ZeroKey: Point-Level Reasoning and Zero-Shot 3D Keypoint Detection from Large Language Models Vision language models are blind: Failing to translate detailed visual features into words

Reference 36

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Observation 1ab5e6f0-e331-4e55-beb0-0b0d50c531e6 · inbound

Feedback-Driven Vision-Language Alignment with Minimal Human Supervision cites this paper.

Feedback-Driven Vision-Language Alignment with Minimal Human Supervision Vision language models are blind: Failing to translate detailed visual features into words

Reference 71

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Observation f2fc676e-e135-4764-98bc-4997bc800d64 · inbound

Language and Planning in Robotic Navigation: A Multilingual Evaluation of State-of-the-Art Models cites this paper.

Language and Planning in Robotic Navigation: A Multilingual Evaluation of State-of-the-Art Models Vision language models are blind: Failing to translate detailed visual features into words

Reference 17

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Observation 4492f9b0-c03f-4c34-9738-dd928133df44 · inbound

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models cites this paper.

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models Vision language models are blind: Failing to translate detailed visual features into words

Reference 15

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Observation 85364f4f-4887-461d-a6f9-59f4f65d3781 · 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 Vision language models are blind: Failing to translate detailed visual features into words

Reference 22

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Observation 2d172e97-d16d-4b23-96e8-07f47b5f7817 · inbound

MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems cites this paper.

MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Vision language models are blind: Failing to translate detailed visual features into words

Reference 52

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Observation 22733819-6813-4eb6-b3fb-90380aba5c39 · inbound

VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface cites this paper.

VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface Vision language models are blind: Failing to translate detailed visual features into words

Reference 42

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Source-reported events for the cited work

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Observation 90ab0e07-92d8-469e-a697-85fb8720ac3f · inbound

Seed1.5-VL Technical Report cites this paper.

Seed1.5-VL Technical Report Vision language models are blind: Failing to translate detailed visual features into words

Reference 109

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:26:06.234599Z

Source-reported events for the cited work

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Observation 78df9661-6317-4dbe-a284-58cccc982189 · inbound

Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels cites this paper.

Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels Vision language models are blind: Failing to translate detailed visual features into words

Reference 33

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Observation fea50c66-695f-4e0d-8199-6795462b794a · inbound

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test cites this paper.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Vision language models are blind: Failing to translate detailed visual features into words

Reference 28

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Observation 25b7d359-8125-4274-9e8c-390a39552d4b · inbound

Grounded Reinforcement Learning for Visual Reasoning cites this paper.

Grounded Reinforcement Learning for Visual Reasoning Vision language models are blind: Failing to translate detailed visual features into words

Reference 49

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Source-reported events for the cited work

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Observation 4a7c6114-3b17-4b08-a388-ef2a0bdc0a10 · inbound

MiMo-VL Technical Report cites this paper.

MiMo-VL Technical Report Vision language models are blind: Failing to translate detailed visual features into words

Reference 47

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Observation e34fa55c-165e-4d18-b51e-fd7d9700d18d · inbound

Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation cites this paper.

Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation Vision language models are blind: Failing to translate detailed visual features into words

Reference 11

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Source-reported events for the cited work

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Observation 8bd60bd1-6dd6-41cf-8065-10bf0bc2c12c · inbound

How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks cites this paper.

How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks Vision language models are blind: Failing to translate detailed visual features into words

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-19T05:57:07.991005Z

Source-reported events for the cited work

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Observation 54beb4b6-eab4-4c6a-a62f-4932d1ec6ffa · inbound

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production cites this paper.

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production Vision language models are blind: Failing to translate detailed visual features into words

Reference 21

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Observation 7f484ea5-da3b-4100-8470-099fa43f2cb0 · inbound

Advancing Vision-based Human Action Recognition: Exploring Vision-Language CLIP Model for Generalisation in Domain-Independent Tasks cites this paper.

Advancing Vision-based Human Action Recognition: Exploring Vision-Language CLIP Model for Generalisation in Domain-Independent Tasks Vision language models are blind: Failing to translate detailed visual features into words

Reference 21

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Observation f940b53a-8cb9-47ba-ba9b-7bc8d974cbef · inbound

Understanding Space Is Rocket Science -- Only Top Reasoning Models Can Solve Spatial Understanding Tasks cites this paper.

Understanding Space Is Rocket Science -- Only Top Reasoning Models Can Solve Spatial Understanding Tasks Vision language models are blind: Failing to translate detailed visual features into words

Reference 52

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MiMo-Embodied: X-Embodied Foundation Model Technical Report cites this paper.

MiMo-Embodied: X-Embodied Foundation Model Technical Report Vision language models are blind: Failing to translate detailed visual features into words

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:42:05.704948Z

Source-reported events for the cited work

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Observation fb0aee7d-01c0-4023-a49a-babad6dda0c5 · inbound

Vision Language Models Cannot Reason About Physical Transformation cites this paper.

Vision Language Models Cannot Reason About Physical Transformation Vision language models are blind: Failing to translate detailed visual features into words

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-15T13:27:51.848177Z

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Observation 5f717ea5-af40-4dee-a8c1-6ba866d69223 · inbound

ReflectCAP: Detailed Image Captioning with Reflective Memory cites this paper.

ReflectCAP: Detailed Image Captioning with Reflective Memory Vision language models are blind: Failing to translate detailed visual features into words

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:11:02.305599Z

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Observation 507e832f-3a9e-4d07-b76f-eac62eab3c70 · inbound

S2H-DPO: Hardness-Aware Preference Optimization for Vision-Language Models cites this paper.

S2H-DPO: Hardness-Aware Preference Optimization for Vision-Language Models Vision language models are blind: Failing to translate detailed visual features into words

Reference 118

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Observation 53b4db02-75ec-40cf-9ebc-67c356f64060 · inbound

Context Unrolling in Omni Models cites this paper.

Context Unrolling in Omni Models Vision language models are blind: Failing to translate detailed visual features into words

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:21:04.871090Z

Source-reported events for the cited work

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Observation 74437cb0-9d1c-4e63-bed6-ff4a7af29f26 · inbound

Mirror, Mirror on the Wall: Can VLM Agents Tell Who They Are at All? cites this paper.

Mirror, Mirror on the Wall: Can VLM Agents Tell Who They Are at All? Vision language models are blind: Failing to translate detailed visual features into words

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:36:18.598684Z

Source-reported events for the cited work

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Observation fdb723b4-7ba4-4341-8e5a-1cc979e0f73d · inbound

Do Vision-Language Models Understand 3D Scenes or Just Catalogue Objects? cites this paper.

Do Vision-Language Models Understand 3D Scenes or Just Catalogue Objects? Vision language models are blind: Failing to translate detailed visual features into words

Reference 30

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Observation a0e4a19a-dfff-4ede-84aa-bc715d538aab · inbound

Do Vision-Language Models Understand 3D Scenes or Just Catalogue Objects? cites this paper.

Do Vision-Language Models Understand 3D Scenes or Just Catalogue Objects? Vision language models are blind: Failing to translate detailed visual features into words

Reference 30

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Source-reported events for the cited work

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Observation e5f8806d-6710-47e2-a050-161487d2d9e5 · inbound

Binding Visual Features Point by Point cites this paper.

Binding Visual Features Point by Point Vision language models are blind: Failing to translate detailed visual features into words

Reference 11

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SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes cites this paper.

SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes Vision language models are blind: Failing to translate detailed visual features into words

Reference 18

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Observation e26043c4-e69a-4fba-bf18-736ff1b56518 · inbound

Decomposed On-Policy Distillation for Vision-Language Reasoning: Steering Gradients for Visual Grounding cites this paper.

Decomposed On-Policy Distillation for Vision-Language Reasoning: Steering Gradients for Visual Grounding Vision language models are blind: Failing to translate detailed visual features into words

Reference 24

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Observation 8068ad65-ea6a-480c-9149-ba38d04dddc3 · inbound

MOSS-Video-Preview: Toward Real-Time Video Understanding via Cross-Attention cites this paper.

MOSS-Video-Preview: Toward Real-Time Video Understanding via Cross-Attention Vision language models are blind: Failing to translate detailed visual features into words

Reference 36

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Observation a38d71dd-185c-4860-8360-5c4924cca342 · inbound

The Last Visible Pixel: Probing Fine-Scale Perception in Vision-Language Models cites this paper.

The Last Visible Pixel: Probing Fine-Scale Perception in Vision-Language Models Vision language models are blind: Failing to translate detailed visual features into words

Reference 54

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Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients cites this paper.

Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients Vision language models are blind: Failing to translate detailed visual features into words

Reference 142

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Observation 287748e6-e590-4333-866d-e815b816a8c8 · inbound

Beyond 'One Language, One Script': Quantifying Orthographic Bias in Multilingual VLMs with PuMVR cites this paper.

Beyond 'One Language, One Script': Quantifying Orthographic Bias in Multilingual VLMs with PuMVR Vision language models are blind: Failing to translate detailed visual features into words

Reference 2

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Observation 1626bef0-46b0-43d5-9dcb-86301cac682a · inbound

Do vision-language models search like humans? Reasoning tokens as a reaction-time analog in classic visual-search paradigms cites this paper.

Do vision-language models search like humans? Reasoning tokens as a reaction-time analog in classic visual-search paradigms Vision language models are blind: Failing to translate detailed visual features into words

Reference 9

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Observation fe5085fe-7473-43f1-869e-7b787f611cb6 · inbound

The inattentional gap in task conditioned AI models that omit otherwise reportable safety critical signals cites this paper.

The inattentional gap in task conditioned AI models that omit otherwise reportable safety critical signals Vision language models are blind: Failing to translate detailed visual features into words

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6dd3fd32-7674-4264-9f5e-f80b07eefd3f · inbound

The inattentional gap in task conditioned AI models that omit otherwise reportable safety critical signals cites this paper.

The inattentional gap in task conditioned AI models that omit otherwise reportable safety critical signals Vision language models are blind: Failing to translate detailed visual features into words

Reference 30

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Observation 90a92488-f13b-4b92-a37b-504dac08ccda · inbound

The inattentional gap in task conditioned AI models that omit otherwise reportable safety critical signals cites this paper.

The inattentional gap in task conditioned AI models that omit otherwise reportable safety critical signals Vision language models are blind: Failing to translate detailed visual features into words

Reference 30

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Observation b9c3781e-bf2f-49f8-8d26-6fbf92dacf31 · inbound

Information-Regularized Attention for Visual-Centric Reasoning cites this paper.

Information-Regularized Attention for Visual-Centric Reasoning Vision language models are blind: Failing to translate detailed visual features into words

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:17:07.256397Z

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Observation 64fac733-b34b-4efc-8a60-fa541118694f · inbound

An Exam for Active Observers cites this paper.

An Exam for Active Observers Vision language models are blind: Failing to translate detailed visual features into words

Reference 38

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Observation 7310bdba-2adb-4724-b15b-138f74838505 · inbound

Evidence-RL: Towards Evidence-intensive Visual Reasoning cites this paper.

Evidence-RL: Towards Evidence-intensive Visual Reasoning Vision language models are blind: Failing to translate detailed visual features into words

Reference 13

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Observation fa21b7df-5558-4e33-8163-a62a77acc62f · inbound

Thinking With Tools, Not With Pixels: Tool Calls as Text Scaffolds for Visual Reasoning cites this paper.

Thinking With Tools, Not With Pixels: Tool Calls as Text Scaffolds for Visual Reasoning Vision language models are blind: Failing to translate detailed visual features into words

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T12:53:14.194557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.