Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:22:39.392445Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 4 inbound Pith citation observations for arXiv:2506.21876.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:22:39.392445Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T03:04:43.145985Z
A source-named dated measurement, never combined with another source.
Source: cited_works
45 of 45 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 96d09218-983c-4fd2-8ab9-aa20774187c0 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation Unresolved cited work
Reference 1
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Observation 165c8bd4-30ce-460b-b4e2-37a3124c2fa5 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation Unresolved cited work
Reference 2
Source-reported events for the cited work
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Observation 3b6f71db-95d1-49e5-9e86-1c708b75a125 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation The topological order of the graph is determined by time and world dynamics
Reference 3
Source-reported events for the cited work
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Observation afe4b3b5-5f30-46f6-b85c-2d8ea1bffb13 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation These multi-view tasks emphasize the model’s ability to synthesize distinct viewpoints into a coherent three-dimensional representation of object arrangements
Reference 4
Source-reported events for the cited work
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Observation 93f01c19-7bb6-40be-94fd-880cabfa4775 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models
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Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation Why think step by step? Reasoning emerges from the locality of experience
Reference 10
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Observation e34fa55c-165e-4d18-b51e-fd7d9700d18d · outbound
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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Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning
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Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation Diffusion Dynamics Models with Generative State Estimation for Cloth Manipulation
Reference 13
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Observation b42919ff-a75d-4e1c-bf9c-1db86f018aab · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation CLEVRER: CoLlision Events for Video REpresentation and Reasoning
Reference 15
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Observation 3ccfcbb2-0c3b-4b86-ac09-df84f94e9a8b · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations
Reference 17
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Observation d2eb0d2c-2e7e-46ed-b259-451264b35f48 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation This task evaluates whether the model can accurately discern spatial relationships based on visual cues
Reference 22
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Observation f3fab12a-a7f6-4d52-bcfc-09507104ee3b · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation Thus testing the model’s understanding of spatial constraints
Reference 23
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Observation e601943c-4656-44f8-99b2-02a51961ab65 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation Thus testing the model’s understanding of object size
Reference 24
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Observation 155d7142-72dd-44bc-8a7c-1ce312aabd2d · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation Unresolved cited work
Reference 26
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Observation 47f848a7-016a-4c1b-9e7f-817bd4eb82cd · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation Collectively, these tasks investigate the aptitude of a model to maintain consistent temporal representations, estimate durations, and infer the correct order of events
Reference 27
Source-reported events for the cited work
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Observation 2a7c8717-0104-4d8b-b9ce-b329c2b846e8 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation Unresolved cited work
Reference 28
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Observation e521baee-d6a4-4daa-b710-1e437ba9f704 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation Unresolved cited work
Reference 29
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Observation 2d1df94b-2d08-4c4c-bc53-87f17ad2d684 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation Unresolved cited work
Reference 30
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Observation 42c72287-8263-46a2-b8fb-3256ec1db670 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation This setup tests the model’s capacity to identify the moving action of objects
Reference 31
Source-reported events for the cited work
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Observation e8c37cfd-8fe3-4aa4-a7dc-816b6751e3c5 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation This setup tests the model’s capacity to track position changes over time and estimate relative velocity
Reference 32
Source-reported events for the cited work
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Observation 958617c8-47ad-4c21-ae53-9e26396b54d7 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation This setup tests the model’s 20 capacity to track position changes over time and estimate relative moving direction
Reference 33
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Observation 6c57eddc-4f41-46e4-b015-a3257e87c33d · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation Quantitative Perception
Reference 34
Source-reported events for the cited work
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Observation 8b0665ea-32c4-4eb6-b3a6-141e4b19dccb · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation This setup evaluates the model capacity for discrete numerical estimation
Reference 35
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Observation 74281348-1b85-4e0e-aee5-7c50ec805ee0 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation Unresolved cited work
Reference 36
Source-reported events for the cited work
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Observation e73263ab-5223-4843-a247-4e8fe27ccb9e · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation This setup probes counting skills, numerical reasoning, and perceptual comparisons in a visual context
Reference 37
Source-reported events for the cited work
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Observation 5f530ea3-642d-45e2-a267-7e1b50930ba5 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation This setup evaluates the model capacity in physical reasoning
Reference 38
Source-reported events for the cited work
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Observation 4ffb2d8c-db14-4262-8d1a-663616202112 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation This setup evaluates the model capacity in predictive reasoning
Reference 39
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Observation f77b19c7-0baa-4c21-93b7-78fb3eb07adc · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation This setup evaluates the model capacity in predictive reasoning for robot manipulation
Reference 40
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Observation 241f8ca8-00e2-4180-a1c0-d8ec06f2aceb · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation This setup evaluates the model capacity in predictive reasoning for autonomous navigation
Reference 41
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Observation 0ee026b0-4639-4502-97dd-395333f84139 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation This setup evaluates the model capacity in multi-step predictive reasoning for robotic manipulation
Reference 42
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Observation e656d49b-4ad5-447f-b6f2-a0f0e3964994 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation This task evaluates the model’s ability to perform compositional inferences about physical causality and object behavior
Reference 43
Source-reported events for the cited work
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Observation 6de38852-8989-4b01-8495-8a41ab86f89d · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation This setup evaluates the model capacity in concurrent action predictive reasoning for robotic manipulation
Reference 44
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Observation dc74911f-a30f-40e4-8d70-b6e3e09c7389 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation yes” or “no
Reference 45
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Observation af3719b3-b7c1-466c-8f02-660250ebc0c0 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation John Wiley & Sons Hoboken, NJ
Reference 2004
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Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation S(n) t to denote the whole relationship between n component states and complex states
Reference 2010
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Observation 399c084c-8c05-4a5e-b08e-811189840f70 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation GAIA-1: A Generative World Model for Autonomous Driving
Reference 2011
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Observation ee900967-a049-4644-9de2-b0cda7747bd3 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation
Reference 2016
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Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Reference 2018
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Observation 7f3f7446-c88c-416c-a422-478b4e23c352 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition
Reference 2019
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Observation 890028db-ee63-46c2-ab8e-277326e274e3 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation In Advances in Neural Information Processing Systems, volume 33, pages 10514–10525
Reference 2020
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Observation 6c279471-d033-4ad8-8d46-16a9da93dcc7 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning
Reference 2021
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Observation bc149e21-7257-48a7-ad3a-38db00cca78b · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation Faith and Fate: Limits of Transformers on Compositionality
Reference 2023
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Observation 802dd24f-d6f8-43b7-b55e-d9e7c290a502 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation How Far is Video Generation from World Model: A Physical Law Perspective
Reference 2024
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Observation 3392a115-99fe-46c2-9cc2-5a7dc56cf3e8 · outbound
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation In The Thirteenth International Conference on Learning Representations
Reference 2025
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Observation 770e4f03-85ca-428b-9829-82fbbaaf69ce · inbound
Egocentric Bias in Vision-Language Models Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation
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Observation 17d4b390-cd08-4e15-a2f8-2390ef800198 · inbound
DynaVieW: Schema-Guided World Modeling for Understanding Hierarchical Visual Dynamics Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation
Reference 31
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Observation f6bf9e4e-5780-48d2-9252-45f48f43f995 · inbound
RetroHolmes: When Semantic Plausibility Fails Retrospective Physical Process Reasoning Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation
Reference 15
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Observation d023fc94-0bd3-4f98-b89b-fe4b2cc8c1be · inbound
Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation
Reference 24
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