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Paper Citation Record · LEDGER

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning

As of 8 August 2026, this Paper Citation Record lists 100 of 113 outbound references and 1 inbound Pith citation observation for arXiv:2509.12263.

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

pith.paper-citation-record.v1
2509.12263 v3

Coverage vector

measured 100 of 113 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:46:56.410355Z

measured 101 of 101 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T13:38:16.395135Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 113 outbound references displayed

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  • malformed identifier1
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Outbound references

Observation 3f020d99-6d9a-4aac-8c94-09f0a3390f79 · outbound

This paper cites PROST: Phys- ical Reasoning about Objects through Space and Time.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning PROST: Phys- ical Reasoning about Objects through Space and Time

Reference 1

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source=pdf_text observed=2026-08-04T17:46:54.983473Z digest=sha256:e912ccd7ef14758dcb9706ffb02b30cc9033403b86fdd8e099b9016fda3f6770

Observation 647d2ee1-b1d6-482a-9ecf-164d531b9736 · outbound

This paper cites CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions

Reference 2

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source=pdf_text observed=2026-08-04T17:46:55.086514Z digest=sha256:8283cc50227095ee980fc261fc30f3ea9dbdb72e0fc3b3654ffa1ab592487ece

Observation df7d0d7a-8844-45d2-a087-06902ab0c78a · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 3

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source=pdf_text observed=2026-08-04T17:46:55.323926Z digest=sha256:cafac56a1e69a050fc73146e7806fbb4065e7437a344cdd68d4932e9b0ef059f

Observation 726e803d-4177-480b-ab64-6de922d32442 · outbound

This paper cites Qwen2.5-VL Technical Report.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Qwen2.5-VL Technical Report

Reference 4

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source=pdf_text observed=2026-08-04T17:46:55.385885Z digest=sha256:afd6aecf49d3bc5400f1868009d183c9d5112118f500fffe1187dd8c825b581e

Observation 25f6036f-442b-4970-9265-cd85c63168c4 · outbound

This paper cites Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Reference 5

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source=pdf_text observed=2026-08-04T17:46:55.549642Z digest=sha256:9f060cf708e3b748f2513500728a4b6e2d69ab9fdb4c1f1519172ebe0cc72367

Observation 53d058ae-9572-47d2-aa75-119b90be8c84 · outbound

This paper cites PHYRE: A New Benchmark for Physical Reasoning.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning PHYRE: A New Benchmark for Physical Reasoning

Reference 6

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Observation 7c826150-56d1-4049-8299-54c0fa16c5bb · outbound

This paper cites What Makes Multimodal In-Context Learning Work? InIEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2024.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning What Makes Multimodal In-Context Learning Work? InIEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2024

Reference 7

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source=pdf_text observed=2026-08-04T17:46:55.847079Z digest=sha256:7b13a889aee2eb5cc00a44c3723de1effcf64b8683a1ab42861b1fed5fc5705c

Observation df36e2d3-3b10-4813-9e3c-b294aa84f083 · outbound

This paper cites CoPhy: Counterfactual Learning of Physical Dynamics.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning CoPhy: Counterfactual Learning of Physical Dynamics

Reference 8

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source=pdf_text observed=2026-08-04T17:46:55.930585Z digest=sha256:5d8532acb39692c33ce28636c99f7d83231bbfdd7d8eedef08a1a3d436e827be

Observation b5501fe1-ef4b-48b6-8713-5b1bfeeaf99c · outbound

This paper cites Physion: Evaluating physical prediction from vision in humans and machines.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Physion: Evaluating physical prediction from vision in humans and machines

Reference 9

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source=pdf_text observed=2026-08-04T17:46:56.038597Z digest=sha256:833c280f139e94b5b2827d8ec5d1a7d1b27d4fbe37e2f7ff3d60b62e445106be

Observation e885f011-c02c-4a79-9ba4-98aba1bea54c · outbound

This paper cites PIQA: Reasoning about Physical Commonsense in Natural Language.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning PIQA: Reasoning about Physical Commonsense in Natural Language

Reference 10

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source=pdf_text observed=2026-08-04T17:46:56.159054Z digest=sha256:8ebfba53a28256d9adacf24b6b20e1b60b4bbce6bdd4bff10a3221dc8d73784c

Observation 0b09c4d2-ee66-4ac2-86af-aefca3b44456 · outbound

This paper cites A Comprehensive Evaluation of Inductive Reasoning Capabilities and Problem Solving in Large Language Models.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning A Comprehensive Evaluation of Inductive Reasoning Capabilities and Problem Solving in Large Language Models

Reference 11

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source=pdf_text observed=2026-08-04T17:46:56.163265Z digest=sha256:985d981e77a58c9e857044acb9698ed284a5b2b4eacdb958404a6759f0b1c840

Observation 0557d3d1-aca3-4784-a9cc-4035fc65009c · outbound

This paper cites PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos

Reference 12

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source=pdf_text observed=2026-08-04T17:46:56.166371Z digest=sha256:d153192917ce54e8397ea824a792d5efff04deab853ccf3340fbd3e250d1476e

Observation aac761f7-0638-4ac6-a41e-e5eaaaea67df · outbound

This paper cites ShareGPT4Video: Improving Video Understanding and Generation with Better Captions.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning ShareGPT4Video: Improving Video Understanding and Generation with Better Captions

Reference 13

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source=pdf_text observed=2026-08-04T17:46:56.169414Z digest=sha256:c44bb78efbfa332c1344645c07c9d85a2e2be5ff92e3b0581a8cc722e4db6b99

Observation 1b3cfc5c-194a-49aa-af08-18554e9c4ccf · outbound

This paper cites Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning? InWinter Conference on Applications of Computer Vision, 2025.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning? InWinter Conference on Applications of Computer Vision, 2025

Reference 14

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source=pdf_text observed=2026-08-04T17:46:56.172014Z digest=sha256:868b21082d0d90b9b9fae21ba368c2cf1c8c5ab88370557f987df50a1231b90b

Observation 34c3c4a0-75e2-47bc-bc2d-5691999ac881 · outbound

This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 15

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source=pdf_text observed=2026-08-04T17:46:56.174482Z digest=sha256:1ac535350b6fc567984874539fd1e84f514a6bb89caab308b8838dda2ae45540

Observation 75e20292-9939-4a08-bce5-147876773384 · outbound

This paper cites Compositional Physical Reasoning of Objects and Events from Videos.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Compositional Physical Reasoning of Objects and Events from Videos

Reference 16

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source=pdf_text observed=2026-08-04T17:46:56.177008Z digest=sha256:cc494ddc0a4f01c9eeabf421b285ecf83496b624058da625ff96dd8e288911c4

Observation d30c441c-122e-461b-8ad1-ce7190045e5f · outbound

This paper cites ComPhy: Compositional Physical Reasoning of Objects and Events from Videos.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning ComPhy: Compositional Physical Reasoning of Objects and Events from Videos

Reference 17

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source=pdf_text observed=2026-08-04T17:46:56.180635Z digest=sha256:4f8e5f9eff8efa23802a6372c5c60e1d682aa10073cbac66dedbe20e40217dcc

Observation 614b76cf-478d-418d-91fd-974c74a69d98 · outbound

This paper cites UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation

Reference 18

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source=pdf_text observed=2026-08-04T17:46:56.183536Z digest=sha256:4d66c1fa26b5e92f47696ede1f7d2390b2366561c7290f83da407869412d2108

Observation 4f6fb6db-8ca2-4300-9217-98d94170778a · outbound

This paper cites Inductive or deductive? Rethinking the fundamental reasoning abilities of LLMs.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Inductive or deductive? Rethinking the fundamental reasoning abilities of LLMs

Reference 19

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source=pdf_text observed=2026-08-04T17:46:56.186297Z digest=sha256:238d4e708608e10fbe466d937fe652025d0bfbe7ac518b12dd419312bd9ced6b

Observation 86fea635-490a-4e92-bd0d-c1d1ca352b2f · outbound

This paper cites LLMPhy: Parameter-Identifiable Physical Reasoning Combining Large Language Models and Physics Engines.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning LLMPhy: Parameter-Identifiable Physical Reasoning Combining Large Language Models and Physics Engines

Reference 20

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source=pdf_text observed=2026-08-04T17:46:56.188760Z digest=sha256:988ce0fb136a0d02a9c28045f7a8754bd79be8eb627dc630b9c6cf80ca8187e6

Observation e1f06412-d1f6-4208-9946-1be60520ca23 · outbound

This paper cites Sora as an AGI World Model? A Complete Survey on Text-to-Video Generation.arXiv preprint arXiv:2403.05131, 2024.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Sora as an AGI World Model? A Complete Survey on Text-to-Video Generation.arXiv preprint arXiv:2403.05131, 2024

Reference 21

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source=pdf_text observed=2026-08-04T17:46:56.191607Z digest=sha256:a3c359598f018c1a7b867e571c5598160bfc93c864e0fc7f874bae8e98e01195

Observation d1fb7c84-8d72-4882-bb3e-66d9c6b5af50 · outbound

This paper cites On the Measure of Intelligence.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning On the Measure of Intelligence

Reference 22

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Observation 820f6c66-3930-4a89-8620-21509ebc614c · outbound

This paper cites Blender 4.4.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Blender 4.4

Reference 23

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Observation dd39fd67-c9a8-4869-95db-b84271bdb639 · outbound

This paper cites PyBullet, a Python module for physics simulation for games, robotics and machine learning.http://pybullet.org, 2016–2021.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning PyBullet, a Python module for physics simulation for games, robotics and machine learning.http://pybullet.org, 2016–2021

Reference 24

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source=pdf_text observed=2026-08-04T17:46:56.199640Z digest=sha256:da4e66e456cf12880070c5769411b821f6ad1201d78e8840df143eec7379d8e8

Observation 412a07ed-253d-4bc4-b971-b7bcb89e1096 · outbound

This paper cites Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models

Reference 25

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source=pdf_text observed=2026-08-04T17:46:56.202091Z digest=sha256:86999a1b997d10343c121533907e5f972bd337ad313f31971820998b1ccaad56

Observation f099b96c-18a4-4a83-9f2c-b89e5fa5b095 · outbound

This paper cites What Can Transformers Learn In-Context? A Case Study of Simple Function Classes.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 26

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Observation 5e2e4a1c-1d60-4766-955b-7452a978f833 · outbound

This paper cites Large Language Models Are Not Strong Abstract Reasoners.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Large Language Models Are Not Strong Abstract Reasoners

Reference 27

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source=pdf_text observed=2026-08-04T17:46:56.207566Z digest=sha256:d0de3aec47b2018f23158739769726d8840408ba863122f8ccd22cdbfc09fb53

Observation 387af2a5-27be-4782-a3c8-af07a4d49cf4 · outbound

This paper cites Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

Reference 28

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Observation 3730abf1-4a16-43a8-87bc-672adb81b343 · outbound

This paper cites The Development of Inductive Reasoning.Inductive Reasoning Experimental, Developmental, and Computational Approaches, pages 25–54, 2007.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning The Development of Inductive Reasoning.Inductive Reasoning Experimental, Developmental, and Computational Approaches, pages 25–54, 2007

Reference 29

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Observation 58d2bfe6-7ab4-41f5-be74-5acdc74e5afb · outbound

This paper cites IDEA: Enhancing the Rule Learning Ability of Large Language Model Agent through Induction, Deduction, and Abduction.arXiv preprint arXiv:2408.10455, 2024.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning IDEA: Enhancing the Rule Learning Ability of Large Language Model Agent through Induction, Deduction, and Abduction.arXiv preprint arXiv:2408.10455, 2024

Reference 30

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source=pdf_text observed=2026-08-04T17:46:56.215683Z digest=sha256:8bb12c246a62f70636738b48f20902079de7e2180fef84f9d2a5043ce7c2d9ac

Observation d9288d5f-6f28-4036-a384-8c55986b50d2 · outbound

This paper cites In-Context Demonstration Selection with Cross Entropy Difference.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning In-Context Demonstration Selection with Cross Entropy Difference

Reference 31

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Observation 40caae7f-f4eb-4e4a-a1bf-5dd4efca98b2 · outbound

This paper cites Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

Reference 32

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source=pdf_text observed=2026-08-04T17:46:56.220707Z digest=sha256:82284a564a7390bc1c5c80e6dc52128f7c9af37ab39e34bc5b8accc3516ea7ba

Observation 546650a1-8c43-477d-a114-a7fb6cc75735 · outbound

This paper cites CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

Reference 33

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source=pdf_text observed=2026-08-04T17:46:56.223124Z digest=sha256:68800c86e6c96a5731a6bf9d836d3a5369873a968beab0dffc79eb341d8bcb41

Observation dd792657-bfe1-4490-bf27-939ed9453760 · outbound

This paper cites Gemma 3 Technical Report.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Gemma 3 Technical Report

Reference 34

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source=pdf_text observed=2026-08-04T17:46:56.225994Z digest=sha256:0017cf999dd905faed6e686c8f7f3cf845338439b6d1ad7c52fcda93d1070d15

Observation 7efff616-c5fc-462d-a9a3-78f99c559dce · outbound

This paper cites VideoPoet: A Large Language Model for Zero-Shot Video Generation.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning VideoPoet: A Large Language Model for Zero-Shot Video Generation

Reference 35

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source=pdf_text observed=2026-08-04T17:46:56.228760Z digest=sha256:81902e9a6d2f493b47d0944969cee8ef5ca5ff56ea702847c111f81009a9fc92

Observation c45bf912-a7d8-4258-8859-c0fcc5dcbe99 · outbound

This paper cites Learning Physical Intuition of Block Towers by Example.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Learning Physical Intuition of Block Towers by Example

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Observation 9d841e2f-4ee3-422a-a9ec-8d4b786a563e · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning LLaVA-OneVision: Easy Visual Task Transfer

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source=pdf_text observed=2026-08-04T17:46:56.233926Z digest=sha256:1dc79bec4b768dc64197f11e19907badb339fd02301611b37b49bbf6666d6319

Observation f84a2837-f958-4a6f-b14a-661a3cf0974f · outbound

This paper cites Aria: An Open Multimodal Native Mixture-of-Experts Model.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Aria: An Open Multimodal Native Mixture-of-Experts Model

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source=pdf_text observed=2026-08-04T17:46:56.236585Z digest=sha256:d64f684b51172feb210fe1ddd43c876e70e2cfc89baf8b1a1d3744462ddb6660

Observation 6e57d26b-0ecc-47ba-9c55-5ba61a521cf0 · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

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source=pdf_text observed=2026-08-04T17:46:56.239297Z digest=sha256:946a87dd4587f7be67f669daaa8d953cb5a170db754d37c61d7ea4851ab35313

Observation 2ab8bf7b-5fda-4c43-b217-fee0c5fc667e · outbound

This paper cites MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models

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source=pdf_text observed=2026-08-04T17:46:56.242234Z digest=sha256:67bdba31aef63cd053433b8c0e2c9f044f95d2a184cdc5a94c757a60e6b640ac

Observation 3b5c6d7f-9d18-456e-b6ae-53b0018c3d4b · outbound

This paper cites What Do Language Models Learn in Context? The Structured Task Hypothesis.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning What Do Language Models Learn in Context? The Structured Task Hypothesis

Reference 41

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source=pdf_text observed=2026-08-04T17:46:56.244894Z digest=sha256:593aa0843912d62c2c49e88eac403e5bbde92b39ac62c30755bee9576acc7faf

Observation 9118c08d-c0f5-4e66-b35f-f7c7ef39dda5 · outbound

This paper cites Unified Demonstration Retriever for In-Context Learning.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Unified Demonstration Retriever for In-Context Learning

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source=pdf_text observed=2026-08-04T17:46:56.247637Z digest=sha256:4232ca155e658ca4289d98d22cce49804a1b66639ccf8923f4116f2caa82cff0

Observation 461299e9-d05b-4f0e-a864-920ec749bdaa · outbound

This paper cites What Makes Good In-Context Examples for GPT-3? InDeep Learning Inside Out (DeeLIO): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2022.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning What Makes Good In-Context Examples for GPT-3? InDeep Learning Inside Out (DeeLIO): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2022

Reference 43

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source=pdf_text observed=2026-08-04T17:46:56.250136Z digest=sha256:eb0c2eeb177406631851d2d3afb84b1a188f282e11352887ef61bc9ca1b9bc24

Observation 58abcf3f-b148-4d9d-9109-d9ce4be4591c · outbound

This paper cites The Violation-of-Expectation Paradigm: A Conceptual Overview.Psychological Review, 131(3):716, 2024.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning The Violation-of-Expectation Paradigm: A Conceptual Overview.Psychological Review, 131(3):716, 2024

Reference 44

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source=pdf_text observed=2026-08-04T17:46:56.252669Z digest=sha256:d3dd471e25732b0aac17d45346aea4a5d1794adcb7d3066602bac03c77bf119d

Observation f7ab42e3-6477-4462-a275-12e191419611 · outbound

This paper cites Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? InConference on Empirical Methods in Natural Language Processing, 2022.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? InConference on Empirical Methods in Natural Language Processing, 2022

Reference 45

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source=pdf_text observed=2026-08-04T17:46:56.255099Z digest=sha256:cf4574cde3f0424d7aa0feea47b5b9d497989ababad00049d5b22520ebe65d11

Observation 7ae6427c-2eee-4f49-8e09-2978f6ab74fe · outbound

This paper cites Large Language Models as General Pattern Machines.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Large Language Models as General Pattern Machines

Reference 46

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source=pdf_text observed=2026-08-04T17:46:56.257851Z digest=sha256:fd8a8034aa7d89e7a5922c6e3ae03ebcdc57f31519869a109963e3c00fe2d13e

Observation ee9ebcbc-d1e2-49f9-a67e-a0342d723e6c · outbound

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

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Do generative video models understand physical principles?

Reference 47

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source=pdf_text observed=2026-08-04T17:46:56.260489Z digest=sha256:0076392af4d004b563d0345a380bc7d4184c6f8ba4167c375eaa1385bd4a5e35

Observation 0b1c3476-915b-45d4-b4f3-eccd2bb3629f · outbound

This paper cites Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images

Reference 48

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source=pdf_text observed=2026-08-04T17:46:56.263360Z digest=sha256:1f2115e31acd2fd47fc332841d6411c573ef105783d3ec93df814edb6a5d3879

Observation 74287676-6dfa-4ed8-8f91-debc65d05f1a · outbound

This paper cites FEABench: Evaluating Language Models on Multiphysics Reasoning Ability.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning FEABench: Evaluating Language Models on Multiphysics Reasoning Ability

Reference 49

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source=pdf_text observed=2026-08-04T17:46:56.265957Z digest=sha256:7864fb065c78a31458f6ff61c13eb4f4561d74aff507174e705316eec9b5a258

Observation 5b1cd477-51e2-446f-9f44-8291844c0f1d · outbound

This paper cites Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMs.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMs

Reference 50

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source=pdf_text observed=2026-08-04T17:46:56.269353Z digest=sha256:db71257bc4b7f3ea466a995beb57a1220c91d4d2fc7a2634a4548d858c9295ea

Observation 878745e0-d8ca-4668-8719-c1aac15448b7 · outbound

This paper cites Sora – Creating video from text.https://openai.com/index/sora/, 2024.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Sora – Creating video from text.https://openai.com/index/sora/, 2024

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source=pdf_text observed=2026-08-04T17:46:56.272053Z digest=sha256:45d49c7eaa73a4e4ad52098613bb718fa729753b900a3352a7daa357d28c5d00

Observation cf852f5f-cc26-4835-8b2f-f4ce5fca07ff · outbound

This paper cites Training language models to follow instructions with human feedback.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Training language models to follow instructions with human feedback

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source=pdf_text observed=2026-08-04T17:46:56.274570Z digest=sha256:be368df78e2db4390f988d3cad0b621f5494c730689295dbffbc7076c8f934a1

Observation 6e8f4ca7-5a55-4158-a62f-ae3d51f3521b · outbound

This paper cites Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models

Reference 53

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source=pdf_text observed=2026-08-04T17:46:56.277659Z digest=sha256:1450479f21f8898f99529d504c7125b50d9ecc23b61f267dfeab458e7b5b64b9

Observation dec2b007-1dcd-46bc-a609-7a96c25ecc47 · outbound

This paper cites Revisiting Demonstration Selection Strategies in In-Context Learning.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Revisiting Demonstration Selection Strategies in In-Context Learning

Reference 54

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source=pdf_text observed=2026-08-04T17:46:56.280259Z digest=sha256:540e57e8ab294e241b74b54aed7a4f2cce1a5914824c6f54404eb54ad60bc777

Observation c2124e3b-e768-49ca-ae1f-9d67730d835f · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Learning Transferable Visual Models From Natural Language Supervision

Reference 55

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source=pdf_text observed=2026-08-04T17:46:56.282931Z digest=sha256:28a9bc6c397e0e82accdc7c14dba3f49da74769af656f9441055dba1719734cc

Observation 4315c8d3-87bd-41c7-8911-6ae1382d0e98 · outbound

This paper cites The Development of Reasoning.Handbook of Child Psychology and Develop- mental Science, pages 1–52, 2015.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning The Development of Reasoning.Handbook of Child Psychology and Develop- mental Science, pages 1–52, 2015

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source=pdf_text observed=2026-08-04T17:46:56.285776Z digest=sha256:1db73bd20e2b2a366c69c03ac4d6d36447c5d0177f7e4dc18fd1338456f4dd49

Observation 5d7784c1-f436-4d76-9f75-ba8231ea34a8 · outbound

This paper cites IntPhys 2019: A Benchmark for Visual Intuitive Physics Understanding.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9):5016– 5025, 2021.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning IntPhys 2019: A Benchmark for Visual Intuitive Physics Understanding.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9):5016– 5025, 2021

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source=pdf_text observed=2026-08-04T17:46:56.288501Z digest=sha256:5625f966743cb2dc03ad8a1a6a7efd33667e28cb2a5b27e5b2295d061df38615

Observation 9d87a6e5-4941-4ba5-8505-eaa003746b1a · outbound

This paper cites Glitchbench: Can large multimodal models detect video game glitches? InIEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Glitchbench: Can large multimodal models detect video game glitches? InIEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Reference 58

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source=pdf_text observed=2026-08-04T17:46:56.291227Z digest=sha256:4a348cf4a1a7b5fa8b599f81f183dbffc687fb29e92ed8f6710fed77d72422a4

Observation edf3cbf2-7d78-430d-a1f4-1a3aebc3e16b · outbound

This paper cites CLIP meets GamePhysics: Towards bug identification in gameplay videos using zero-shot transfer learning.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning CLIP meets GamePhysics: Towards bug identification in gameplay videos using zero-shot transfer learning

Reference 59

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source=pdf_text observed=2026-08-04T17:46:56.293741Z digest=sha256:689665b03aa15b82e135eb3b5cbf52f6a0248e470d200e3a8bfcd40b033c17af

Observation c34aabde-299c-4270-afcd-7d82860ad0a1 · outbound

This paper cites Large Language Models are Pretty Good Zero-Shot Video Game Bug Detectors.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Large Language Models are Pretty Good Zero-Shot Video Game Bug Detectors

Reference 60

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source=pdf_text observed=2026-08-04T17:46:56.296506Z digest=sha256:500c31f4d85de6437a8313137d9d22e5168a987074e0a53a61a1aee4544f3bcd

Observation 507dd1a5-97e4-489f-96d6-66cf9677f582 · outbound

This paper cites Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties

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source=pdf_text observed=2026-08-04T17:46:56.299391Z digest=sha256:dcf284337f8ace63f996a3d8352daf06e1fa52a7e7ff84ab77e6fe6429f81a68

Observation be1c8811-b563-4106-94a8-065218a50351 · outbound

This paper cites From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples

Reference 62

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source=pdf_text observed=2026-08-04T17:46:56.302304Z digest=sha256:d7e74fddaf9a3a6cab20dbf8e05ef80c99fd3fd5cc95b9aa5b930ea980b458ee

Observation eb3b5ae3-0407-4906-9c93-926be1a8c2ff · outbound

This paper cites Learning to retrieve in-context examples for large language models.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Learning to retrieve in-context examples for large language models

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source=pdf_text observed=2026-08-04T17:46:56.305050Z digest=sha256:93a12bca6a54e145b45b94f2a64a9d54c4dd1beb6ca8a47a7f10ec196947d632

Observation 33ba5960-5a36-4043-8188-6b3a205d07cb · outbound

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

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

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source=pdf_text observed=2026-08-04T17:46:56.307853Z digest=sha256:d390e688d937bf386b9b049429c5b927cef3246d011abc2be5aabe13e5c37593

Observation e740b62d-97b7-46b4-af5a-0c785c2c3be9 · outbound

This paper cites Can In-context Learning Really Generalize to Out-of-distribution Tasks?.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Can In-context Learning Really Generalize to Out-of-distribution Tasks?

Reference 65

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source=pdf_text observed=2026-08-04T17:46:56.310784Z digest=sha256:707de5a675ff57247b4c39d8867ded35fa395e7b1b6d70ae3b15eda62dfe2905

Observation 14a295df-7368-4ea8-a8ca-9166c85885a6 · outbound

This paper cites Hypothesis Search: Inductive Reasoning with Language Models.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Hypothesis Search: Inductive Reasoning with Language Models

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source=pdf_text observed=2026-08-04T17:46:56.313885Z digest=sha256:abc5db032ccdb28a266699fe1a13b63f0a480a03d01fbb4955afae51f43c3159

Observation 2bcddba5-6918-4d15-af2f-77192df17a1f · outbound

This paper cites NEWTON: Are Large Language Models Capable of Physical Reasoning? InConference on Empirical Methods in Natural Language Processing, 2023.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning NEWTON: Are Large Language Models Capable of Physical Reasoning? InConference on Empirical Methods in Natural Language Processing, 2023

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source=pdf_text observed=2026-08-04T17:46:56.316971Z digest=sha256:f557e61d2876d36353351b39321c8b025881fd4bc1f0b90e10e982f8d159fb31

Observation 84e4c38e-1bd0-41c5-98b3-d151dd2db9be · outbound

This paper cites Qwen2.5-Omni Technical Report.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Qwen2.5-Omni Technical Report

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source=pdf_text observed=2026-08-04T17:46:56.319911Z digest=sha256:204296da6153b47555966b9f7603b5cacf761e0fbadd83fc3fea1d654d591e9f

Observation a245d5a9-1e45-4b4a-808d-4552b5eae90b · outbound

This paper cites MIR-Bench: Benchmarking LLM’s Long-Context Intelligence via Many-Shot In-Context Inductive Reasoning.arXiv preprint arXiv:2502.09933, 2025.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning MIR-Bench: Benchmarking LLM’s Long-Context Intelligence via Many-Shot In-Context Inductive Reasoning.arXiv preprint arXiv:2502.09933, 2025

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source=pdf_text observed=2026-08-04T17:46:56.322690Z digest=sha256:12f3f30897e8d4cce25e25487bc8fb9cafc790b7bfc8d7e9bc713577654416b1

Observation 7c61b8eb-e129-4042-a035-5484ef916039 · outbound

This paper cites Qwen2 Technical Report.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Qwen2 Technical Report

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source=pdf_text observed=2026-08-04T17:46:56.325516Z digest=sha256:10fc39b8c99efcf6f1eef5d4b45d570141e9f551354d73d6853e0ffef45668c3

Observation de27372f-ba56-48e0-a419-ac8c7b44ed81 · outbound

This paper cites Qwen2.5 Technical Report.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Qwen2.5 Technical Report

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source=pdf_text observed=2026-08-04T17:46:56.328714Z digest=sha256:07d05545a54ab7c2af4e4532f44cfce5b6c98267394e7efe7a046cf0fdf5b523

Observation c276a42f-04fe-4fae-8e26-0fe0b9cab66a · outbound

This paper cites CLEVRER: CoLlision Events for Video REpresentation and Reasoning.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning CLEVRER: CoLlision Events for Video REpresentation and Reasoning

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source=pdf_text observed=2026-08-04T17:46:56.331414Z digest=sha256:0d2f024d2c23c7b0181c4a1cdbe9fab97d8acc7d22b2a1b7a53c667eb13ebf85

Observation c0713699-62f8-4cbd-a6b8-3134db5eaa2a · outbound

This paper cites Sigmoid Loss for Language Image Pre-Training.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Sigmoid Loss for Language Image Pre-Training

Reference 73

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source=pdf_text observed=2026-08-04T17:46:56.334011Z digest=sha256:5f8677882c0cf53fb6b64af5387663296d265c34358c1596c9f1db763352b7da

Observation e0f0e8ca-38e3-487b-bd28-cb4ec8a1ccd5 · outbound

This paper cites VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding

Reference 74

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source=pdf_text observed=2026-08-04T17:46:56.337243Z digest=sha256:aaf4f27887c8b19837f9861d2bb2998d7720ddfe706bf0197f4562877f534cee

Observation c986fd99-fd4c-4ade-aae6-39932c836fed · outbound

This paper cites How Vision Language Models Will Shape The Future Of Self-Driving Cars, March 2025.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning How Vision Language Models Will Shape The Future Of Self-Driving Cars, March 2025

Reference 75

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source=pdf_text observed=2026-08-04T17:46:56.340045Z digest=sha256:8b3a5e91cb031d919a4b26b3f26a95f59b8a5cf796ab94dc18ad8af61b4173e8

Observation 07c15f1f-5855-4782-8f17-75bb4d9f96b5 · outbound

This paper cites LLaV A-NeXT: A Strong Zero-shot Video Understanding Model, April 2024.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning LLaV A-NeXT: A Strong Zero-shot Video Understanding Model, April 2024

Reference 76

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source=pdf_text observed=2026-08-04T17:46:56.342561Z digest=sha256:fd98b0fceadefb99e51b65695a9d9269eeb502aeab54661098c22bfca07526a5

Observation 009d1fb1-6d35-46d2-92bf-eef58b50ac02 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 77

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source=pdf_text observed=2026-08-04T17:46:56.345107Z digest=sha256:303ec6790d4c284a4f50c158e88d051fea59989135c39ed5bdf90d8b5a8b79f9

Observation 7ac9b7aa-4008-4aab-8112-caeee6733fb3 · outbound

This paper cites Vision Language Models in Autonomous Driving: A Survey and Outlook.IEEE Transactions on Intelligent Vehicles, 2024.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Vision Language Models in Autonomous Driving: A Survey and Outlook.IEEE Transactions on Intelligent Vehicles, 2024

Reference 78

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source=pdf_text observed=2026-08-04T17:46:56.348017Z digest=sha256:eb397314fb3f01312fa4984a1365cae3cc47a7398e738425fe7ec08a79b1c999

Observation 1d7d50f1-05ed-45ca-9f40-6b9b09b83aec · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 79

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source=pdf_text observed=2026-08-04T17:46:56.350463Z digest=sha256:5deaec45f1fc23bdd1d03073bfe5fa760b223feda60a87cb1484133817d1108e

Observation 8731f2e4-abe0-479d-b34c-7f08209ece7e · outbound

This paper cites E.g.,<|im_start|>,<fim_suffix>.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning E.g.,<|im_start|>,<fim_suffix>

Reference 80

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source=pdf_text observed=2026-08-04T17:46:56.353816Z digest=sha256:4ddf3f0924d3a832a1f06d4d3b2c82604ace37d04a3acb46229bf6c9570dd3a7

Observation 6d769213-b95d-4341-bb5d-5af4a7900683 · outbound

This paper cites E.g., only<|im_stfrom<|im_start|>.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning E.g., only<|im_stfrom<|im_start|>

Reference 81

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source=pdf_text observed=2026-08-04T17:46:56.356711Z digest=sha256:1a7f138b8ee8844d1b7ef74ac0e0b425931cfa2839e9b31af2c4cb6c3019ea92

Observation 280d340e-43b1-4b11-8e1d-205ab12518de · outbound

This paper cites The correct answer is.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning The correct answer is

Reference 82

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source=pdf_text observed=2026-08-04T17:46:56.359696Z digest=sha256:cde5f14897fae87bcc475491e094d19a9d2424b7d74eaea858e0ebfc0ea0c834

Observation e5047296-c3d0-4217-8682-7f24ec971a4b · outbound

This paper cites Human: Which movie.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Human: Which movie

Reference 83

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no resolver link, observed 2026-08-04T17:46:56.362368Z

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source=pdf_text observed=2026-08-04T17:46:56.362368Z digest=sha256:e31107a9b3b67ab0ee19a857734637aca2fce1ccb9d6ad356d71e9bc243d3bab

Observation 070c442a-7a62-42b8-8ce0-d54098d2f713 · outbound

This paper cites Momentum is calculated as mass (m) times velocity (v): p = mv.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Momentum is calculated as mass (m) times velocity (v): p = mv

Reference 84

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source=pdf_text observed=2026-08-04T17:46:56.365494Z digest=sha256:e822c082e784be1dbd93562da2ce9bfcdf1964e24195ff48f6e2fd69f64df346

Observation 9045eec8-452d-491b-81a8-1de80588a05f · outbound

This paper cites This means that when the sphere hits the cube, the cube exerts an equal and opposite force back on the sphere.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning This means that when the sphere hits the cube, the cube exerts an equal and opposite force back on the sphere

Reference 85

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source=pdf_text observed=2026-08-04T17:46:56.368214Z digest=sha256:213d9a668aca990b2d1e2640363281d42b756368f6b73a31aedefcf0075d211f

Observation c9cefbe6-594f-4f8c-839f-f953dee64401 · outbound

This paper cites In an elastic collision, kinetic energy is also conserved.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning In an elastic collision, kinetic energy is also conserved

Reference 86

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source=pdf_text observed=2026-08-04T17:46:56.371119Z digest=sha256:15fb5802be4a7c4b2f6546fbd8ba63110115f73ec3e2686e8c6d35fe3ffead6b

Observation 18d0b03e-0398-46bd-a658-45742ec29924 · outbound

This paper cites If the masses of the yellow cube and the purple sphere are equal, and they are initially at rest, the momentum before the collision is zero.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning If the masses of the yellow cube and the purple sphere are equal, and they are initially at rest, the momentum before the collision is zero

Reference 87

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source=pdf_text observed=2026-08-04T17:46:56.374356Z digest=sha256:1b8fc458a8fa9519ab48a5a2db14babab779bd5e99023604327dab1b6ac63dc0

Observation 3d01788d-d1dd-46e0-9aca-0b7926b831b0 · outbound

This paper cites Since the masses are equal and initially at rest, the kinetic energy before the collision is zero.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Since the masses are equal and initially at rest, the kinetic energy before the collision is zero

Reference 88

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source=pdf_text observed=2026-08-04T17:46:56.377055Z digest=sha256:cc70d911556036c84d54284742d93e2e5d2bb25b1cfeba43983d68eb5b9187cd

Observation c77c20f0-cef9-4936-ab4e-f3845db7bac9 · outbound

This paper cites Let’s say the cube’s velocity is *v*.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Let’s say the cube’s velocity is *v*

Reference 89

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source=pdf_text observed=2026-08-04T17:46:56.379980Z digest=sha256:eb756e6e466d81c5023f8104d9e60013c8bb49bccd81f12727356184f9b1fbb5

Observation 2eef141c-1bce-4cd0-a97b-1d4bfc144030 · outbound

This paper cites Momentum is the product of mass and velocity (p = mv).

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Momentum is the product of mass and velocity (p = mv)

Reference 90

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source=pdf_text observed=2026-08-04T17:46:56.382979Z digest=sha256:0f5dbd7355c5b51ec367c2f2cfbf779fab326aa6c9f7c599d261b41b87965aab

Observation 7a2eba2d-e4b1-4478-a515-10ba1d7b0480 · outbound

This paper cites Inelastic Collision**: The nature of the collision (whether it is elastic or inelastic) also plays a role.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Inelastic Collision**: The nature of the collision (whether it is elastic or inelastic) also plays a role

Reference 91

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source=pdf_text observed=2026-08-04T17:46:56.386113Z digest=sha256:02cdb67905cf017270a85e257e4954bd7e8f5a6b4a15273bccd0e5e20025626f

Observation 7d69a65a-dbde-4191-bf6c-8f29268c8820 · outbound

This paper cites The green cylinder might slow down slightly due to the transfer of momentum.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning The green cylinder might slow down slightly due to the transfer of momentum

Reference 92

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source=pdf_text observed=2026-08-04T17:46:56.388582Z digest=sha256:6d2c3c51bda1a73e8ae7de870297209ee34d5ccf61ff5d50b6bfa2854589200f

Observation 25808baa-4733-4754-bef9-086d75faa2e9 · outbound

This paper cites In an inelastic collision, some kinetic energy is converted into other forms of energy, such as heat or deformation energy.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning In an inelastic collision, some kinetic energy is converted into other forms of energy, such as heat or deformation energy

Reference 93

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source=pdf_text observed=2026-08-04T17:46:56.391417Z digest=sha256:9f6f22a630981dcaf0c39d3bda4affbafe7f259e070d4daed4f56f64fc529e2f

Observation 1a238b3f-f47a-4a3c-b063-e179b2a8adbe · outbound

This paper cites Since the green cylinder has more mass, it will have more momentum.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Since the green cylinder has more mass, it will have more momentum

Reference 94

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no resolver link, observed 2026-08-04T17:46:56.394185Z

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source=pdf_text observed=2026-08-04T17:46:56.394185Z digest=sha256:8ed35a92f63334f4034a9fe07cb0f64e1aece3de9ddb0b10d7543c2bd462e6b0

Observation 82943284-3b61-4a76-b1f8-eebbd9a443e5 · outbound

This paper cites an unresolved cited work.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Unresolved cited work

Reference 95

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source=pdf_text observed=2026-08-04T17:46:56.396910Z digest=sha256:100a22e8fafab6cc1e6f212d2f19ac598e701af524adeb936ad8057d8d9bba0b

Observation a4deafdb-ea98-4ed6-84b4-a11114b8e6b1 · outbound

This paper cites It will move in roughly the direction the green cylinder was traveling.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning It will move in roughly the direction the green cylinder was traveling

Reference 96

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source=pdf_text observed=2026-08-04T17:46:56.399388Z digest=sha256:2065e3b625fe1e533fb0b35a9d4edb873f2caa4f703f4d74e98f659388252218

Observation 4fcdbe74-9b50-46be-abd9-b53f37dcf671 · outbound

This paper cites Kinetic energy is conserved.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Kinetic energy is conserved

Reference 97

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source=pdf_text observed=2026-08-04T17:46:56.401981Z digest=sha256:c7689381221a3504c322d59192990f98fd7b0df0d4e8b5a241d23d71be69d5c1

Observation 5d5c740e-4e6e-4e79-8891-680f3d2859f7 · outbound

This paper cites The wall will exert a force on the moving cylinder, causing it to deform or change direction.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning The wall will exert a force on the moving cylinder, causing it to deform or change direction

Reference 98

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source=pdf_text observed=2026-08-04T17:46:56.405222Z digest=sha256:7dcb9e1d3dc19f365b0bc699053848d703f2b65f417230f7aa01df0db2970fa2

Observation 118b2acc-eebe-4f4c-ba2b-93b3f2d51c22 · outbound

This paper cites The wall will exert a force on the moving cylinder, causing it to change direction and possibly deform.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning The wall will exert a force on the moving cylinder, causing it to change direction and possibly deform

Reference 99

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source=pdf_text observed=2026-08-04T17:46:56.407770Z digest=sha256:fa9dbe8d409115340d1d5259c9c896efe5dedac85e01630f2c96aacf60ad38a2

Observation 2ebe1433-3a82-49fd-961d-4b7bc352d015 · outbound

This paper cites The wall will exert a force on the moving cylinder, causing it to change direction and possibly deform.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning The wall will exert a force on the moving cylinder, causing it to change direction and possibly deform

Reference 100

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source=pdf_text observed=2026-08-04T17:46:56.410355Z digest=sha256:3af90728fd121088daba03100a196d3e3f8bdd9a9207687d504b148815eb94b3

Pith citing papers

Observation 64e12a4f-98c3-4ae1-816d-0487bc43cb5d · inbound

PhysMRV: Physical Memory Retrieval and Verification for Physics Plausibility Reasoning cites this paper.

PhysMRV: Physical Memory Retrieval and Verification for Physics Plausibility Reasoning InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning

Reference 15

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source=arxiv_source observed=2026-07-14T13:38:16.395135Z digest=sha256:c6895925080b06c3b5dde2b65f9db896e08ac067d27d2a13874773c8dadb109a