Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T06:07:24.277177Z
Paper Citation Record · LEDGER
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics
As of 19 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2506.06006.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
52 of 52 outbound references displayed
- verified exact0
- verified fuzzy29
- unresolved23
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8863294b-c256-4205-9463-1d4538c03e41 · outbound
This paper cites Recurrent world models facilitate policy evolution.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Recurrent world models facilitate policy evolution
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:25.201072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4286e6d7-37ae-4216-b2cc-2fbec26dba99 · outbound
This paper cites Cosmos World Foundation Model Platform for Physical AI.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Cosmos World Foundation Model Platform for Physical AI
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:23.995257Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ca95a54-c6cc-4406-a062-1c01f424057b · outbound
This paper cites Genie: Generative interactive environments.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Genie: Generative interactive environments
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.001012Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d0c545d-536c-4143-ba7b-cbf786b12461 · outbound
This paper cites Video generation models as world simulators.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Video generation models as world simulators
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:25.173532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ea51fd94-ebf7-46bc-bed2-42afdc6a2250 · outbound
This paper cites WorldSimBench: Towards Video Generation Models as World Simulators.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics WorldSimBench: Towards Video Generation Models as World Simulators
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.010922Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c89477f-64fd-4e9c-acd9-ef939b47b253 · outbound
This paper cites Do as I can, not as I say: Grounding language in robotic affordances.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Do as I can, not as I say: Grounding language in robotic affordances
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:25.155966Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 27e59029-a26d-4f79-bcae-5794c0d4232c · outbound
This paper cites Inner Monologue : Embodied reasoning through planning with language models.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Inner Monologue : Embodied reasoning through planning with language models
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:25.137732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3092e8bf-2fe7-43ca-b59b-c0bbd45e614e · outbound
This paper cites Imagine while Reasoning in Space: Multimodal Visualization-of-Thought.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Imagine while Reasoning in Space: Multimodal Visualization-of-Thought
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.025967Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a29bc56-079a-476f-adc6-e35ffee01026 · outbound
This paper cites A Generalist Agent.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics A Generalist Agent
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.031045Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32537f05-b388-4691-98de-c7c20ef1cf32 · outbound
This paper cites Learning Interactive Real-World Simulators.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Learning Interactive Real-World Simulators
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.035996Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78cea173-cdcd-4395-8461-ecbc2d080cdc · outbound
This paper cites Mastering diverse control tasks through world models.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Mastering diverse control tasks through world models
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:25.122718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d0ab5390-6057-4e67-ae4b-ba144b5846da · outbound
This paper cites World Model on Million-Length Video And Language With Blockwise RingAttention.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics World Model on Million-Length Video And Language With Blockwise RingAttention
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.046755Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3c9dccb-f84f-44ff-a2fa-27e1dc9191db · outbound
This paper cites Do generative video models understand physical principles?.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Do generative video models understand physical principles?
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.051408Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6cf3a3ba-b5db-450e-806f-021a7abf32c7 · outbound
This paper cites Physically grounded vision-language models for robotic manipulation.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Physically grounded vision-language models for robotic manipulation
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:25.107730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 69c4f1b3-c04f-4d8c-9e03-c6280b7f88ff · outbound
This paper cites an unresolved cited work.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T06:07:25.091676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 85becdf0-b936-4438-b842-bbc53d393128 · outbound
This paper cites Can language models encode perceptual structure without grounding? A case study in color.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Can language models encode perceptual structure without grounding? A case study in color
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:25.075935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3a0aab83-bf9d-49ef-9bf7-5f8aecfbd6df · outbound
This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Chameleon: Mixed-Modal Early-Fusion Foundation Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.072246Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f58401b-5e6a-42a0-aa18-07a5686137cb · outbound
This paper cites Learning Action and Reasoning-Centric Image Editing from Videos and Simulations.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Learning Action and Reasoning-Centric Image Editing from Videos and Simulations
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:25.060218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 01bca877-3c16-4f23-92ba-7269b995fbf4 · outbound
This paper cites Video PreTraining (VPT) : Learning to act by watching unlabeled online videos.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Video PreTraining (VPT) : Learning to act by watching unlabeled online videos
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:25.043321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 59a6acba-88a1-4f93-8150-cd732c3975b0 · outbound
This paper cites Moments in time dataset: one million videos for event understanding.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Moments in time dataset: one million videos for event understanding
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:25.027199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6f02e7ac-5174-4f45-ab1a-a94afb616404 · outbound
This paper cites The Kinetics Human Action Video Dataset.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics The Kinetics Human Action Video Dataset
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.106289Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e580f276-799e-4ede-9b90-7b96d4523b84 · outbound
This paper cites A Short Note on the Kinetics-700 Human Action Dataset.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics A Short Note on the Kinetics-700 Human Action Dataset
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.112945Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation addd9681-e6dd-4c3d-9596-6b0341cff92a · outbound
This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.117780Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 845beb56-b69f-4cf9-b273-296b9a23170e · outbound
This paper cites VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.123574Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7a16e98-9bca-4d02-9e3f-2ebaeb863cd8 · outbound
This paper cites Scaling egocentric vision: The EPIC-KITCHENS dataset.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Scaling egocentric vision: The EPIC-KITCHENS dataset
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:25.009280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8b21755f-24ef-46e9-81fb-a454489583d8 · outbound
This paper cites s1: Simple test-time scaling.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics s1: Simple test-time scaling
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.139015Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cee2bfe3-7a20-43d3-9550-c4581fa7b974 · outbound
This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.146649Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation abc8ad40-06ad-4a4f-9ead-752ccaf4dcea · outbound
This paper cites Kubric: A scalable dataset generator.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Kubric: A scalable dataset generator
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:24.993415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d90e9194-b20e-49c3-aa98-da96adc23f23 · outbound
This paper cites InstructPix2Pix : Learning to follow image editing instructions.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics InstructPix2Pix : Learning to follow image editing instructions
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:24.978148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e85fb9d6-0103-4439-b9cc-e33646806b97 · outbound
This paper cites GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing
Reference 30
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0c0d67e-b944-490e-99fc-7cb50afc0217 · outbound
This paper cites SmartEdit : Exploring complex instruction-based image editing with multimodal large language models.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics SmartEdit : Exploring complex instruction-based image editing with multimodal large language models
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:24.961540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9f064c14-cceb-4b80-a95a-21b137f4c6f1 · outbound
This paper cites BERTScore : Evaluating text generation with bert.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics BERTScore : Evaluating text generation with bert
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:24.943531Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3a054d53-0926-4a4b-8846-47f5df5cce80 · outbound
This paper cites ROUGE : A package for automatic evaluation of summaries.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics ROUGE : A package for automatic evaluation of summaries
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:24.926323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 40bd7703-77e1-4a64-8af0-24e30a93a50c · outbound
This paper cites BLEU : a method for automatic evaluation of machine translation.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics BLEU : a method for automatic evaluation of machine translation
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:24.910375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 22b337b0-2348-4812-b120-9203aac9fc09 · outbound
This paper cites Variational best-of-n alignment.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Variational best-of-n alignment
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:24.894651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 04175720-5e5d-4a3d-bbb1-8affe0c9027f · outbound
This paper cites Learning to predict by the methods of temporal differences.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Learning to predict by the methods of temporal differences
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:24.879924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d3207217-fac6-436e-a918-954b2067100b · outbound
This paper cites Learning latent dynamics for planning from pixels.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Learning latent dynamics for planning from pixels
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:24.863771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e934c709-0463-4043-b79d-342cc8da7aa4 · outbound
This paper cites Transformers are sample-efficient world models.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Transformers are sample-efficient world models
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:24.848709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f5d5c6b4-4972-4c15-90a1-8e701d569918 · outbound
This paper cites Transformer-based World Models Are Happy With 100k Interactions.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Transformer-based World Models Are Happy With 100k Interactions
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.210816Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92f9b374-e22a-4e4f-8497-f805085aa920 · outbound
This paper cites Diffusion for world modeling: Visual details matter in atari.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Diffusion for world modeling: Visual details matter in atari
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:24.832798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1ec03a46-1e03-43c3-9ea4-a5a150fe8928 · outbound
This paper cites Video-LLaVA : Learning united visual representation by alignment before projection.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Video-LLaVA : Learning united visual representation by alignment before projection
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:24.816123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0ee50795-2a17-4ce8-b0d3-d58b82240769 · outbound
This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.224463Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 705237c3-ef8a-4da8-ab19-11f7323d799e · outbound
This paper cites iVideoGPT : Interactive VideoGPTs are scalable world models.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics iVideoGPT : Interactive VideoGPTs are scalable world models
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:24.799182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3d3f5554-3e1e-4183-b63f-9c8d3a053a5e · outbound
This paper cites Decision transformer: Reinforcement learning via sequence modeling.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Decision transformer: Reinforcement learning via sequence modeling
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:24.780990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0d753bfb-16d2-407e-bd88-cf44f27b7454 · outbound
This paper cites Vision-language models provide promptable representations for reinforcement learning.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Vision-language models provide promptable representations for reinforcement learning
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:24.764728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d8e610c3-5eba-4198-89e6-b50ebdb6ae98 · outbound
This paper cites 3D-VLA: A 3D Vision-Language-Action Generative World Model.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics 3D-VLA: A 3D Vision-Language-Action Generative World Model
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:24.748169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bd6a97b2-880f-4f4a-81a5-1f4dba080336 · outbound
This paper cites Video as the New Language for Real-World Decision Making.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Video as the New Language for Real-World Decision Making
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.250329Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13d75b34-ae20-4441-806d-4682344e22b4 · outbound
This paper cites VideoAgent: Self-Improving Video Generation.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics VideoAgent: Self-Improving Video Generation
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.256971Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3caf459-b8b1-403e-a755-12a927bd2ff1 · outbound
This paper cites ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.262152Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32172cfe-5218-4da7-9b8b-0b6637d226e4 · outbound
This paper cites LoRA : Low-rank adaptation of large language models.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics LoRA : Low-rank adaptation of large language models
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:24.731994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 28e71d01-3eb4-46c8-9e6f-0f23089554fc · outbound
This paper cites Transformers: State-of-the-art natural language processing.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics Transformers: State-of-the-art natural language processing
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T06:07:24.715787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 24fe666c-1b17-4bb7-8922-5bf0e22de8bf · outbound
This paper cites write newline.
Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics write newline
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:24.277177Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.