Paper Citation Record · LEDGER

Visual Grounding in Zero-Shot Vision-Language Control

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2608.06154.

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

pith.paper-citation-record.v1
2608.06154 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:57:12.082156Z

measured 44 of 44 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation a603f8c3-022b-4147-8169-63fe57346953 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Visual Grounding in Zero-Shot Vision-Language Control Learning transferable visual models from natural language supervision,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:16.790543Z

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Observation 0e43c405-639a-4c5b-b059-ff170912dad6 · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

Visual Grounding in Zero-Shot Vision-Language Control Improved Baselines with Visual Instruction Tuning

Reference 2

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Observation 4603868a-d4e8-4c73-89f7-1d53b5515177 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Visual Grounding in Zero-Shot Vision-Language Control Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 3

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Observation a1a210d9-32bb-4b99-8083-5b762cb6b2ef · outbound

This paper cites Qwen2.5-VL Technical Report.

Visual Grounding in Zero-Shot Vision-Language Control Qwen2.5-VL Technical Report

Reference 4

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Observation dbb8b77a-3727-4987-a03a-e8a06282aa5f · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

Visual Grounding in Zero-Shot Vision-Language Control MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 5

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Observation fb1a59d1-ed3d-4bad-9ccb-6af984254bd5 · outbound

This paper cites Qwen3-VL Technical Report.

Visual Grounding in Zero-Shot Vision-Language Control Qwen3-VL Technical Report

Reference 6

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Observation 4d55ec77-a452-4a5a-becb-390200596896 · outbound

This paper cites Gemma 4 Technical Report.

Visual Grounding in Zero-Shot Vision-Language Control Gemma 4 Technical Report

Reference 7

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Observation ec3159d7-5976-4240-90d2-7389098270cd · outbound

This paper cites Qwen3.5: Towards native multimodal agents,.

Visual Grounding in Zero-Shot Vision-Language Control Qwen3.5: Towards native multimodal agents,

Reference 8

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Observation f585939b-9dd9-4c7b-88d2-52e812ad10b1 · outbound

This paper cites Introducing Mistral 3,.

Visual Grounding in Zero-Shot Vision-Language Control Introducing Mistral 3,

Reference 9

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This paper cites MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe.

Visual Grounding in Zero-Shot Vision-Language Control MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe

Reference 10

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Observation 9ffb7a4b-5bc3-433f-b84e-657efa32534c · outbound

This paper cites SmolVLM: Redefining small and efficient multimodal models.

Visual Grounding in Zero-Shot Vision-Language Control SmolVLM: Redefining small and efficient multimodal models

Reference 11

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Observation 2e96abb8-7e75-49cf-bad1-44b987d96f15 · outbound

This paper cites NavGPT: Explicit reasoning in vision- and-language navigation with large language models,.

Visual Grounding in Zero-Shot Vision-Language Control NavGPT: Explicit reasoning in vision- and-language navigation with large language models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:16.185974Z

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Observation 2ac4a8d0-ddbe-4845-83ab-753e13619f30 · outbound

This paper cites VLM-Social-Nav: Socially aware robot navigation through scoring using vision-language models,.

Visual Grounding in Zero-Shot Vision-Language Control VLM-Social-Nav: Socially aware robot navigation through scoring using vision-language models,

Reference 13

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Observation 1617f2b0-e8b3-4d04-a32d-24e9620e142a · outbound

This paper cites VLM-GroNav: Robot navigation using physically grounded vision-language models in outdoor environments,.

Visual Grounding in Zero-Shot Vision-Language Control VLM-GroNav: Robot navigation using physically grounded vision-language models in outdoor environments,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:15.794638Z

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This paper cites MapNav: A novel memory representation via annotated semantic maps for VLM-based vision-and-language navigation,.

Visual Grounding in Zero-Shot Vision-Language Control MapNav: A novel memory representation via annotated semantic maps for VLM-based vision-and-language navigation,

Reference 15

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Observation 70fc3451-2ab0-43bf-bfdb-0fc46a2249cf · outbound

This paper cites HazardVLM: A video language model for real-time hazard description in automated driving systems,.

Visual Grounding in Zero-Shot Vision-Language Control HazardVLM: A video language model for real-time hazard description in automated driving systems,

Reference 16

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Observation 25951574-ea08-42cf-87f1-209bb847b839 · outbound

This paper cites LLM-powered cooperative perception framework for mixed UA V-vehicle platoons,.

Visual Grounding in Zero-Shot Vision-Language Control LLM-powered cooperative perception framework for mixed UA V-vehicle platoons,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:15.178944Z

Source-reported events for the cited work

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Observation c5278006-8a5e-4c69-99f3-2bcd668bf024 · outbound

This paper cites Semantic scene understand- ing with large language models on unmanned aerial vehicles,.

Visual Grounding in Zero-Shot Vision-Language Control Semantic scene understand- ing with large language models on unmanned aerial vehicles,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:57:14.962984Z

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Observation 91026761-6ef7-4e28-b7b5-ce3798e118e0 · outbound

This paper cites Shortcut learning in deep neural networks,.

Visual Grounding in Zero-Shot Vision-Language Control Shortcut learning in deep neural networks,

Reference 19

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This paper cites Beyond accuracy: Behavioral testing of NLP models with CheckList,.

Visual Grounding in Zero-Shot Vision-Language Control Beyond accuracy: Behavioral testing of NLP models with CheckList,

Reference 20

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Observation ca7c9e58-04a9-4a16-9f56-56cadde12161 · outbound

This paper cites Holistic Evaluation of Language Models.

Visual Grounding in Zero-Shot Vision-Language Control Holistic Evaluation of Language Models

Reference 21

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Observation e00c28b0-ce6a-4c24-a854-1d9bf318dca4 · outbound

This paper cites Metamorphic testing: A review of challenges and opportunities,.

Visual Grounding in Zero-Shot Vision-Language Control Metamorphic testing: A review of challenges and opportunities,

Reference 22

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Observation c77f0cb6-c974-420b-b245-66d362744f41 · outbound

This paper cites DeepTest: Automated testing of DNN-driven autonomous cars,.

Visual Grounding in Zero-Shot Vision-Language Control DeepTest: Automated testing of DNN-driven autonomous cars,

Reference 23

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Observation 7e56556c-58b4-4bdd-8297-6dc57e25b612 · outbound

This paper cites DeepRoad: GAN-based metamorphic testing and input validation framework for autonomous driving systems,.

Visual Grounding in Zero-Shot Vision-Language Control DeepRoad: GAN-based metamorphic testing and input validation framework for autonomous driving systems,

Reference 24

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Observation 3d13e243-58ed-4600-a09d-910ea348d10e · outbound

This paper cites Metamorphic testing for semantic invariance in large language models,.

Visual Grounding in Zero-Shot Vision-Language Control Metamorphic testing for semantic invariance in large language models,

Reference 25

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Observation b0ec6d09-d4c1-48cf-8a38-2302de9e0bad · outbound

This paper cites Semantic invariance in agentic AI,.

Visual Grounding in Zero-Shot Vision-Language Control Semantic invariance in agentic AI,

Reference 26

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Observation 30cb1895-c93d-4bb4-a201-3ef5de9543b3 · outbound

This paper cites Energy-aware multilingual evaluation of large language models,.

Visual Grounding in Zero-Shot Vision-Language Control Energy-aware multilingual evaluation of large language models,

Reference 27

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Observation d6c3c2ca-c79c-444a-b2a7-7605c6b4ab47 · outbound

This paper cites EdgeShard: Efficient LLM inference via collaborative edge computing,.

Visual Grounding in Zero-Shot Vision-Language Control EdgeShard: Efficient LLM inference via collaborative edge computing,

Reference 28

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This paper cites Power hungry processing: Watts driving the cost of AI deployment?.

Visual Grounding in Zero-Shot Vision-Language Control Power hungry processing: Watts driving the cost of AI deployment?

Reference 29

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Observation 87e4c2cd-8ee4-431e-a0bb-8a28e650ca2b · outbound

This paper cites An environment for autonomous driving decision- making,.

Visual Grounding in Zero-Shot Vision-Language Control An environment for autonomous driving decision- making,

Reference 30

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Observation ff57a3ee-4a1a-4b0c-a83c-a2dc768af9cd · outbound

This paper cites Learning to fly—a Gym environment with PyBullet physics for reinforcement learning of multi-agent quadcopter control,.

Visual Grounding in Zero-Shot Vision-Language Control Learning to fly—a Gym environment with PyBullet physics for reinforcement learning of multi-agent quadcopter control,

Reference 31

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This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Visual Grounding in Zero-Shot Vision-Language Control Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 32

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This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models,.

Visual Grounding in Zero-Shot Vision-Language Control Chain-of-thought prompting elicits reasoning in large lan- guage models,

Reference 33

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Observation e81779ee-264f-462c-bdf0-47724d25e710 · outbound

This paper cites Language models don’t always say what they think: Unfaithful explanations in chain- of-thought prompting,.

Visual Grounding in Zero-Shot Vision-Language Control Language models don’t always say what they think: Unfaithful explanations in chain- of-thought prompting,

Reference 34

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Observation 4ec7dd12-c123-451e-b0c2-20d72d6cdf58 · outbound

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Visual Grounding in Zero-Shot Vision-Language Control Measuring Faithfulness in Chain-of-Thought Reasoning

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Visual Grounding in Zero-Shot Vision-Language Control Do Prompt-Based Models Really Understand the Meaning of their Prompts?

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Visual Grounding in Zero-Shot Vision-Language Control PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

Reference 37

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Visual Grounding in Zero-Shot Vision-Language Control Measuring and improving consistency in pretrained language models,

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This paper cites Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity.

Visual Grounding in Zero-Shot Vision-Language Control Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

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Visual Grounding in Zero-Shot Vision-Language Control Probing classifiers: Promises, shortcomings, and ad- vances,

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This paper cites Con- strained model predictive control: Stability and optimality,.

Visual Grounding in Zero-Shot Vision-Language Control Con- strained model predictive control: Stability and optimality,

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This paper cites A simple sequentially rejective multiple test procedure,.

Visual Grounding in Zero-Shot Vision-Language Control A simple sequentially rejective multiple test procedure,

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This paper cites SciPy 1.0: Fundamental algorithms for scientific computing in Python,.

Visual Grounding in Zero-Shot Vision-Language Control SciPy 1.0: Fundamental algorithms for scientific computing in Python,

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This paper cites Transformers: State-of-the-art natural language pro- cessing,.

Visual Grounding in Zero-Shot Vision-Language Control Transformers: State-of-the-art natural language pro- cessing,

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Pith citing papers

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