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Paper Citation Record · LEDGER

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning

As of 13 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 2026-08-13T06:32:02.005865+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=sha256:0bb1e9522e3c08458acfed3d94cfa01ac8aec7bef094bcfef448720bd0ad14ba

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=sha256:36e1ce7af3c50c8ee981c2dc1d12952910ef607e4ba2078facb76c92e448ac8f

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:b625c4190665e48faac0d2dd23845a1e1fb6d49b4b625f756e9ee3956b2aa7c2

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:a8894dbe1dc493eaa5b270ab328fb2491bc46cb27c4848633130fe0122372441

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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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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source=pdf_text observed=2026-08-04T17:46:55.689655Z digest=sha256:ca138913535055767155a1f261593398bb3bf2504c4be439e23425fbbbb0c789

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:dd56bbb853a27b928dae57329fb8f5dec256415f894d7f171528a0642431f887

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=sha256:8a8603da9dd043247accaae93bc6943f80247c241ec2d49e67f189678eed418a

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:ce29ecbeb182876b4399df7bc702a983672dcc1c8e842d97d2b803103dbb0b96

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:fa4971f0f944e29437ac80b3272b4712b197742823d2340d5116239f94c30d05

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:a4d49d3985f0f90595bf34603a4b63120b0b680c08884770fee6543d0525287e

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=sha256:4a25e6a0ad8306490b329fc071653dbff6917332675d21bb6736963a68972212

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=sha256:84705f22cc313c8dba14b6bff152e72a5515d472681da6dbfe3a3cb216c056f2

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=sha256:8dc4cbbd0bd8d5ee5936fa880a7df31c745cb1fa75898566e8339a7e2372b600

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:b3494d2f5f9dae82dba871a9371fc2b05a3bcc5266dac130312de22659494bad

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=sha256:3afc1f6473a114bebc00f3119aaf0b24841679fbb5c3218b4b87e640e1f12bd9

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:ab29e94059abf5591d664430d174574c1acd6dac4131d0abfc7fcb816e7e5500

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=sha256:8cf9f0bab71d2f16bfd0b5e77142b201736fb5e9db8d9b63f4651f9b668eb232

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:cdb5aa0a1d37813a644e1304929922be54155a26a8fa3e6b9e61966606c24f08

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:f66c0f1c948c376e4eecabd87696307761466b6b377a4e175f1043857856f7f6

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=sha256:62af6c60fa9756435947b41d90851c52a6f98e169c5d86a485d3c0c45c5fe5fe

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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source=pdf_text observed=2026-08-04T17:46:56.194186Z digest=sha256:0443cedfeac1c90b9cf098fc84b1efe8c7d180aeac8fa063639a2683d8a1a7fa

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:a4bf62e0e0622a4a1a52ad35f2d149f03403c1597c0bc41bca322ba901397273

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=sha256:1c1fc1e8e4b3492d814d1b878c8863e78ebd912b520e615b3cc84029258192a5

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=sha256:1dd854bbbef9b1f149cb1d9220590a87ca3ee86ecd64f216e349d56b26be7663

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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source=pdf_text observed=2026-08-04T17:46:56.213034Z digest=sha256:03e48fc5a57edd2a5e2af739f99927ce3a3094c7a99863aa6541ca9a8d56891a

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:a2dc0658bd1b0e56853ce34d8a946d8d3c67ae317a049c8ab3daa1a356dc3c94

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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source=pdf_text observed=2026-08-04T17:46:56.218226Z digest=sha256:3d951ae2311fb7aa824bd5068caccc2fa07c47c8a10b02174293d763985572cc

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:ea4c0714cf9524d8010c87c3e1480471d1b40c39efbb857af6fb417974e1aa75

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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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=sha256:831db6d50dfd4257043e4d605026f1119abf664ae658ce5dad08ff3e25527898

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:d1e57816e7684607d08d682fae12768551e178e32f752ed8a00b669d2952ee94

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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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=sha256:67bbda32dfa89458e96f3a9489d45c11379dfb378145d7d5242687ff0d16d46b

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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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=sha256:31a3149aae808996fef8e1e600f29547996341cfeea40cbffa4e1baf4a7844d5

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

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source=pdf_text observed=2026-08-04T17:46:56.244894Z digest=sha256:9eb13c75c2ccced61a06ecc7ce2e3287234f57c57f6164d3a792bea54d30398c

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=sha256:7051e7a36a102928eab072f0d193d8b1b68cef8f235aa9b0f6bfe37ed95264f7

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

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source=pdf_text observed=2026-08-04T17:46:56.250136Z digest=sha256:2e87e13223195cd22a8e8b783f75c26993a5c932d7cf58e09cc0a694e12aaed9

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

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source=pdf_text observed=2026-08-04T17:46:56.252669Z digest=sha256:58706a4624020bf71b3147f5bf4c7fe529a6275ae7dcaefc2219ab9f56ad6315

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=sha256:4c5ad8af7c0b4a1f4352342f1c5946222f69c1f86e11657e35c0baeef32ebe6e

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=sha256:6ea468775bf3d4a33d084c286735aa66e611e5771378fb6b26e02bf4a777abbf

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=sha256:95bc9c64d49a0506f5f29a54d2177d0e42f87172f6a2555e9ecbb2beddbeea0c

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=sha256:575daafaae63b15fb581035968d3fb47bdf93ea5b074a115086cbe3addd861b4

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=sha256:48e7411ecb0d0f283fd7c2feb3ca189a7b037068b7adbe4614c0a7ec56db7c1b

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

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source=pdf_text observed=2026-08-04T17:46:56.269353Z digest=sha256:ec70e7216be3d85fac9bc69947b4c035ff16033ebcfb9793158922a45a2ca9c0

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:c9b83204c91b43b4bf3792264a9d57218b425069f87c8e8b008202810ed4ee04

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=sha256:668b99295d3cfcf34a18ef85c5dde85c98ea86d4e9eaadc78efe147f1c583cf3

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

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source=pdf_text observed=2026-08-04T17:46:56.277659Z digest=sha256:ab3dda7a17d28f134636c2652b61639a1f64e5ade5915fbd6692e18049d153cd

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=sha256:33182164aff705a124bf177d259eee2a6a06958fcfa7e41eec3ecbd0a29b1791

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

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source=pdf_text observed=2026-08-04T17:46:56.282931Z digest=sha256:2cf743af8da975d0293c1ebfe64c13c876d7a685944ad1325467f8b2d291c966

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:bf583497c6cab46a4dbe580864b5c2ab7e1284b7db00bc092368be9b143071ce

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=sha256:381f4f5760725d3e8ae65c0e3252fec9e6c703a91f85916c85bcd23255c63370

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

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source=pdf_text observed=2026-08-04T17:46:56.291227Z digest=sha256:ad013df63b9d2534340a538fd23b44aa32ecc48b1043a9bbb62cdc67e19fb4b1

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

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source=pdf_text observed=2026-08-04T17:46:56.293741Z digest=sha256:d3bbeb77bb2e0b09f681395e6e00cf8126a0e0c0eb802e43478752b0b55736c4

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

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source=pdf_text observed=2026-08-04T17:46:56.296506Z digest=sha256:04a7649687c9571a94e9ff0f2de23d899f4508184253793697f7db61e964f545

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=sha256:88f7fbc7bb3b1045ee6724a8ec4363de783f9701be321bb267001e547cf74830

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

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source=pdf_text observed=2026-08-04T17:46:56.302304Z digest=sha256:1ac56a8a72d6291e575cebc8c397303b8fd5c9dd497a9dd65485ecc51c782df5

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:ff6c1d3428920bad794dd039f35a76bafcbab3e32e709ff338e597714de34d74

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:b9e254ff54d1b5807cdf4a2d51590474c3324845ad2134a6f70fe96a4fe31548

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?

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source=pdf_text observed=2026-08-04T17:46:56.310784Z digest=sha256:dcad90cef037c9940d2b52a0d9b12fe1383fe377de59688c90dfd1b302fa48aa

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=sha256:66b5e5baf757277fe2285c0e03def6a314f2d8925d1a9c093e81105580ce9fc6

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:af5babd26fab5caf4b12d8e571839f831407ce5c6eccb527bd6a6ce05d8f1749

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=sha256:9cc0047145504dc98c24000ec0f90576a45c9ebee3e07cef3aeb88a1fd72860a

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:d724c9f03a3af5e070f65aa6698ee43d8404a98b43b2e780589e5399ef5934f8

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=sha256:1cc1bc627c7fde11a612c1e932d33b0533e4c3b85b5621b756bc591889d0ca12

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:ddcb255e5f57d359a9145fe146b72d351386dc911f0f721525714e3c3915c806

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

Reference 72

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source=pdf_text observed=2026-08-04T17:46:56.331414Z digest=sha256:c95c43771884df8e2642a5e838b5fefa9d20080858c1425d7e23a1d603ab9cc5

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:a084bcae7968b053d3904ba6620bf0deb213f1ba65783b75d833a301a9125765

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:a0dd41ed02a4e4e37bb81b398e5f4afba2b1ca1866f221e60330df769dc97d31

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=sha256:6f31cf2f82fcd4069ae40894433c9b3485306e6895bdebc86605579df2576f22

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=sha256:1e5a49cc68a18fb20e49416b703bf4849aa4de75f72547f64453fa532d74e30b

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=sha256:96d1a2a54e7281034685c5466cd811f3128bcb842ec1864ed512ce9104e01601

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:b24e1071e4b3903f07aff147763a4b5f3488e691ee8b3a3aea4a7059b18a887d

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=sha256:1be223576ea165718341ffd89373e54d0b282a96da3a76290b7503f80aa060e1

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=sha256:2cbe1f82b1ae5eac4eb5603cb8a10ba720003f87fa124ea584bd4ad7a19acd85

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=sha256:606a20b0962a1485cb7236a33f55d31fec59d617ebcd3b78d5953ea5f18c2998

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=sha256:2f265e744eb6bb46ff45d606beff056c54708b1f18a1d1dec9336ca9849ffd6e

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:d1dbe3eaaae90e72c8d3ec3ec61cc713289acec5697f0257d07b3d43eb6c3030

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=sha256:8bfed14ada2d472d18ddbfa822d5afd69004893f7df21b8e7fb1cd4d2a22afb6

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=sha256:450c0ca66c6a05a76d90ccdef4851a5440c0bf644617d6edde05c304152bbfd1

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=sha256:9d83bdb65730b53e6b962740ccc46fe59dfd2be7b3d9ad38c97b9ef560e72084

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=sha256:8c5fabee5de8457a344b8d7101a9f1c0d068a2e038e40b14d5be4cfb6b3ef127

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:e88579e6eeddc808ce00ad6c13d194bfc7a40463c05e3f3ebcf1edc26e1b78a1

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=sha256:4b1fc111f132545295e1911c4269d66052cda9a11f83bd11e9ce80ba97af0650

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=sha256:754ae118c993a20a55de6a5715830aa26073dbf1d7af94c3c2e48fa2fa371a47

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=sha256:08fa6c3d3342569bf6f8ccfb6918b130579fb931bd104d403791e801b3890f0a

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=sha256:44da38bf0c3c2f18a819484f42b67612f38d7279daabae659165595f3045b870

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=sha256:632b1272dc797ebd082c4b676bf3c4450cd81be23dd685d4e5cdbd6365651d72

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=sha256:255c5a698d66f8db60add39d957ef0ab638cb123ac4975bb92a806acbf633648

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=sha256:4beb5bd2447a5583e883f3f9d6e570d08cdb3b023aec7aa8f58ddf3db0c241a7

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=sha256:8a2aab21fd0df4c5d26569d9af823ade7d763efc4d85f9898b4f325417010e4d

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=sha256:5720de390e0b9b008d225b9045e7203ea33b917d4b3db6d9647997bc4ea4d519

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=sha256:4f7e2dd9a70510e406393616482aa3bc9feb56d7056a1edc036f3de70fc3daec

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=sha256:6710de058d2f8f021946840c8165f8efaa1f8490761eba764176d28fd1a8046d

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=sha256:4c5c28aba6fc072d059dd4e35ea271c5720e2a9cd8e104d80a485ca6c10b7bc4

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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no resolver link, observed 2026-07-14T13:38:16.395135Z

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source=arxiv_source observed=2026-07-14T13:38:16.395135Z digest=sha256:48c37f81dfddbcd411f1171baff0d710467023e0ba0578223cd5fd826c506dc4