Paper Citation Record · LEDGER

Can Vision Language Models Learn Intuitive Physics from Interaction?

As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2602.06033.

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

pith.paper-citation-record.v1
2602.06033 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:05:23.901739Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

23 of 23 outbound references displayed

verified exact0
verified fuzzy0
unresolved20
parse uncertain0
malformed identifier3
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de36aef6-58c6-4783-8e19-ad35954b42ab · outbound

This paper cites We first test whether the model has learned some generalizable understanding after all, that would lead to faster supervised fine-tuning (see Section A.9.1).

Can Vision Language Models Learn Intuitive Physics from Interaction? We first test whether the model has learned some generalizable understanding after all, that would lead to faster supervised fine-tuning (see Section A.9.1)

Reference 2

Resolution: malformed identifier; no resolver link, observed 2026-08-03T04:05:23.844368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11546a4d-d2d2-45b3-a8c8-a13b4238754a · outbound

This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.

Can Vision Language Models Learn Intuitive Physics from Interaction? Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:22.952149Z

Source-reported events for the cited work

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Observation 19f17a9f-c427-4bd9-b402-2335aec74c8c · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

Can Vision Language Models Learn Intuitive Physics from Interaction? Understanding R1-Zero-Like Training: A Critical Perspective

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:23.059639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f44ce531-5420-4c85-99ff-1a53da3929a3 · outbound

This paper cites and Spaulding, S.

Can Vision Language Models Learn Intuitive Physics from Interaction? and Spaulding, S

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:23.322558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e3b19d4-11de-485d-b364-bd303fc147f4 · outbound

This paper cites Qwen3 Technical Report.

Can Vision Language Models Learn Intuitive Physics from Interaction? Qwen3 Technical Report

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:23.485367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ef2ce40-ca5d-4bb1-b83f-544cb60fbdbd · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Can Vision Language Models Learn Intuitive Physics from Interaction? DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:23.539057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b65e2e12-075a-49e8-94a1-0273c7fc510f · outbound

This paper cites Group Sequence Policy Optimization.

Can Vision Language Models Learn Intuitive Physics from Interaction? Group Sequence Policy Optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:23.617650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2045bc2-afc4-45eb-992b-11641f7ea944 · outbound

This paper cites an unresolved cited work.

Can Vision Language Models Learn Intuitive Physics from Interaction? Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:23.770965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a37e23f-2412-4db6-b5db-3b6671c4bab1 · outbound

This paper cites All ablations learn to perform well on the task they are trained on (shown in the second row).

Can Vision Language Models Learn Intuitive Physics from Interaction? All ablations learn to perform well on the task they are trained on (shown in the second row)

Reference 23

Resolution: malformed identifier; no resolver link, observed 2026-08-03T04:05:23.901739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ded32ca3-3c69-4fa9-88e7-9601b6eb3e82 · outbound

This paper cites an unresolved cited work.

Can Vision Language Models Learn Intuitive Physics from Interaction? Unresolved cited work

Reference 25

Resolution: malformed identifier; no resolver link, observed 2026-08-03T04:05:23.722770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52200104-7a65-417a-afcf-39bc0167d42f · outbound

This paper cites You can think about the problem for as long as you’d like.

Can Vision Language Models Learn Intuitive Physics from Interaction? You can think about the problem for as long as you’d like

Reference 600

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:23.676312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2de74268-a430-4cb7-a59c-1131244d045f · outbound

This paper cites Do generative video models understand physical principles?.

Can Vision Language Models Learn Intuitive Physics from Interaction? Do generative video models understand physical principles?

Reference 1945

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:23.159709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a6d3eaf-132b-44ec-90b4-7521e9a89fda · outbound

This paper cites On the general- ization of sft: A reinforcement learning perspective with reward rectification.arXiv preprint arXiv:2508.05629,.

Can Vision Language Models Learn Intuitive Physics from Interaction? On the general- ization of sft: A reinforcement learning perspective with reward rectification.arXiv preprint arXiv:2508.05629,

Reference 1991

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:23.403051Z

Source-reported events for the cited work

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Observation 92c5f367-802a-4afe-9fcd-faf0239002bf · outbound

This paper cites H., and Krishnan, R.

Can Vision Language Models Learn Intuitive Physics from Interaction? H., and Krishnan, R

Reference 1995

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:22.481052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccbdacab-88e3-4cba-8791-902cd3ed25a7 · outbound

This paper cites Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks.

Can Vision Language Models Learn Intuitive Physics from Interaction? Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks

Reference 1998

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:22.674062Z

Source-reported events for the cited work

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Observation 8bebd1df-3403-412d-911e-6c3b731a0697 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Can Vision Language Models Learn Intuitive Physics from Interaction? DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:23.240978Z

Source-reported events for the cited work

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Observation 7c75f07e-cd54-41cc-bf89-84bd587d048a · outbound

This paper cites Centaur: a foundation model of human cognition.

Can Vision Language Models Learn Intuitive Physics from Interaction? Centaur: a foundation model of human cognition

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:22.520856Z

Source-reported events for the cited work

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Observation ee16f694-368e-4cf0-927c-23755537ff15 · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

Can Vision Language Models Learn Intuitive Physics from Interaction? Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:23.006057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a04e0816-dc25-412c-8fa3-20fc265f8999 · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

Can Vision Language Models Learn Intuitive Physics from Interaction? SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:22.588795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a3c529b-1040-4b19-b11f-d526fdc74746 · outbound

This paper cites ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation.

Can Vision Language Models Learn Intuitive Physics from Interaction? ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:22.730793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a7f194c-81ea-4160-8949-bc6924cf5d98 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

Can Vision Language Models Learn Intuitive Physics from Interaction? Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:22.773568Z

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Observation 074aab02-21a8-41fd-a2cc-ddfcd6bc3637 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Can Vision Language Models Learn Intuitive Physics from Interaction? LoRA: Low-Rank Adaptation of Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:22.827674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b0baa7e-f21c-4e54-8c8d-d618e64fc365 · outbound

This paper cites A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environment.

Can Vision Language Models Learn Intuitive Physics from Interaction? A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environment

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:23.109468Z

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Pith citing papers

No inbound Pith citation observations are available.