Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI | Paper Citation Record

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This paper cites World models.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI World models

Reference 1

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Observation 89f23755-c80e-40f4-b171-9db36c023590 · outbound

This paper cites AI meets physics: a comprehensive survey.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI AI meets physics: a comprehensive survey

Reference 2

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This paper cites Newtonian Scene Understanding: Unfolding the Dy- namics of Objects in Static Images.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Newtonian Scene Understanding: Unfolding the Dy- namics of Objects in Static Images

Reference 3

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This paper cites Interaction Networks for Learning about Objects, Relations and Physics.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Interaction Networks for Learning about Objects, Relations and Physics

Reference 4

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Observation e547076c-9fd7-4ea2-ba40-69bf5116bc5c · outbound

This paper cites SeePhys: Does Seeing Help Thinking? – Benchmarking Vision-Based Physics Reasoning.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI SeePhys: Does Seeing Help Thinking? – Benchmarking Vision-Based Physics Reasoning

Reference 5

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Observation c0db6433-2d47-4e47-9a42-0ed1f66954db · outbound

This paper cites I-PHYRE: Interactive Physical Reasoning.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI I-PHYRE: Interactive Physical Reasoning

Reference 6

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This paper cites PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly

Reference 7

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Observation d31a071c-af04-4746-aa63-f0a8d9e5b1db · outbound

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

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI LLMPhy: Parameter-Identifiable Physical Reasoning Combining Large Language Models and Physics Engines

Reference 8

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Observation f32535b6-1a5e-4124-bc3c-936b9065a4b4 · outbound

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

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI ComPhy: Compositional Physical Reasoning of Objects and Events from Videos

Reference 9

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Observation 9053140a-eae1-4366-916e-de3d78dedf42 · outbound

This paper cites Semi-supervised classifica- tion with graph convolutional networks.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Semi-supervised classifica- tion with graph convolutional networks

Reference 10

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Observation 56d0e3dd-ce25-4341-88d0-cc3a68508f10 · outbound

This paper cites Graph Attention Networks.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Graph Attention Networks

Reference 11

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Observation 4f70b610-d81f-41e0-8160-8a956a4dcc59 · outbound

This paper cites Inductive Representation Learning on Large Graphs.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Inductive Representation Learning on Large Graphs

Reference 12

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Observation f3b966f9-02f7-4a47-9524-f9f478c9dc2a · outbound

This paper cites Visual In- teraction Networks: Learning a Physics Simulator from Video.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Visual In- teraction Networks: Learning a Physics Simulator from Video

Reference 13

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Observation 1e4305b6-6d6a-48c7-a6bb-09a9c94b5ac3 · outbound

This paper cites A Com- positional Object-Based Approach to Learning Physical Dynamics.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI A Com- positional Object-Based Approach to Learning Physical Dynamics

Reference 14

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Observation 583c3eed-bd6d-4438-814b-536a4f0d6d9e · outbound

This paper cites Motion- Craft: Physics-Based Zero-Shot Video Generation.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Motion- Craft: Physics-Based Zero-Shot Video Generation

Reference 15

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Observation b39a40a2-396c-4989-9eeb-1d6698f25ca4 · outbound

This paper cites VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models

Reference 16

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Observation 9584e967-52e5-4bbb-aca4-8ff8d85e4dec · outbound

This paper cites How Do Transformers Model Physics? Investigating the Simple Harmonic Oscillator.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI How Do Transformers Model Physics? Investigating the Simple Harmonic Oscillator

Reference 17

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Observation 7e53a4e1-8d0b-45d5-86fb-9dcda5803c66 · outbound

This paper cites A Physics-guided Multimodal Transformer Path to Weather and Climate Sciences.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI A Physics-guided Multimodal Transformer Path to Weather and Climate Sciences

Reference 18

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Observation 328ec611-0b61-4fcb-be2f-74b0d7a7470f · outbound

This paper cites Solving fluid flow problems using semi-supervised symbolic regression on sparse data.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Solving fluid flow problems using semi-supervised symbolic regression on sparse data

Reference 19

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Observation 80a4c7eb-cf27-4fc6-842f-10123cbdbcbf · outbound

This paper cites MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning

Reference 20

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Observation b7ece359-ecc3-4a16-8d07-1f2bb7de348b · outbound

This paper cites AlphaDrive: Un- leashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI AlphaDrive: Un- leashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning

Reference 21

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Observation b61adc3f-6509-4b75-9666-c8ae5d84f02f · outbound

This paper cites AutoDrive-R$^2$: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI AutoDrive-R$^2$: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving

Reference 22

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Observation 39461bab-9f44-4b56-9a4f-484a762757cb · outbound

This paper cites Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle

Reference 23

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Observation 0ff8d442-f356-4ec4-a514-9284cd3015eb · outbound

This paper cites Causal Modeling of Dynamical Systems.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Causal Modeling of Dynamical Systems

Reference 24

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Observation 3c5e77b3-a861-4371-a823-0edd3c310633 · outbound

This paper cites Using Causal Threads to Explain Changes in a Dynamic System.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Using Causal Threads to Explain Changes in a Dynamic System

Reference 25

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Observation e0dfee4a-c7c2-4ab1-9f69-2384ccd833bb · outbound

This paper cites PhysORD: a neuro-symbolic approach for physics-infused motion prediction in off- road driving.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI PhysORD: a neuro-symbolic approach for physics-infused motion prediction in off- road driving

Reference 26

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Observation 77c9f1b2-e279-4faa-9985-8b65d3e86f20 · outbound

This paper cites Functional optimiza- tion of fluidic devices with differentiable stokes flow.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Functional optimiza- tion of fluidic devices with differentiable stokes flow

Reference 27

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Observation 8d093074-516d-43d4-931c-ccf6481ceca4 · outbound

This paper cites Scalable Differen- tiable Physics for Learning and Control.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Scalable Differen- tiable Physics for Learning and Control

Reference 28

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This paper cites GPT-4o System Card.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI GPT-4o System Card

Reference 29

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This paper cites Visual Instruction Tuning.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Visual Instruction Tuning

Reference 30

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This paper cites OpenAI o1 System Card.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI OpenAI o1 System Card

Reference 31

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This paper cites Qwen2.5-VL Technical Report.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Qwen2.5-VL Technical Report

Reference 32

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This paper cites Claude 3.7 Sonnet System Card.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Claude 3.7 Sonnet System Card

Reference 33

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This paper cites Gemini 2.5 Pro Model Card.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Gemini 2.5 Pro Model Card

Reference 34

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Observation 9ffb08e6-992e-44d3-af04-b23efce7750f · outbound

This paper cites Multimodal Reasoning for Science: Technical Report and 1st Place Solution to the ICML 2025 SeePhys Challenge.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Multimodal Reasoning for Science: Technical Report and 1st Place Solution to the ICML 2025 SeePhys Challenge

Reference 35

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This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI GAIA-1: A Generative World Model for Autonomous Driving

Reference 36

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Observation 4c71f47e-c6a0-42ba-9289-88bfa48e65e8 · outbound

This paper cites DriveDreamer: Towards Real-world-driven World Models for Au- tonomous Driving.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI DriveDreamer: Towards Real-world-driven World Models for Au- tonomous Driving

Reference 37

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This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI OpenVLA: An Open-Source Vision-Language-Action Model

Reference 38

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This paper cites Pi0: A vision- language-action flow model for general robot control.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Pi0: A vision- language-action flow model for general robot control

Reference 39

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Observation e511a6eb-06a9-4942-b5ac-d727621173ef · outbound

This paper cites A survey on multimodal large language models.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI A survey on multimodal large language models

Reference 40

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Observation 8aaa74c1-d3e0-4b19-bd7c-d31c46158d30 · outbound

This paper cites Large lan- guage models predict human sensory judgments across six modalities.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Large lan- guage models predict human sensory judgments across six modalities

Reference 41

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Observation c7da20b3-cda5-4f50-bc28-c2b3a40c7de6 · outbound

This paper cites Object detection with mul- timodal large vision-language models: An in-depth re- view.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Object detection with mul- timodal large vision-language models: An in-depth re- view

Reference 42

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Observation 7da923b3-d86b-43b9-8894-1b94dde46fbf · outbound

This paper cites PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models

Reference 43

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Observation 366703ec-d7e4-4f41-9943-b79c48a108b9 · outbound

This paper cites Probing perceptual con- stancy in large vision language models.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Probing perceptual con- stancy in large vision language models

Reference 44

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Observation bd5b8597-4f22-40f7-a554-ca76e69d0afa · outbound

This paper cites From perception to cognition: A survey of vision-language interactive rea- soning in multimodal large language models.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI From perception to cognition: A survey of vision-language interactive rea- soning in multimodal large language models

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:14.189725Z

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Observation 4e09290a-1dae-4baa-9c1a-921416035dec · outbound

This paper cites From System 1 to System 2: A Survey of Reasoning Large Language Models.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI From System 1 to System 2: A Survey of Reasoning Large Language Models

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-05-18T10:01:14.032479Z

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Observation 198c7c07-5427-463f-b81e-b35069e942db · outbound

This paper cites The artificial intelligence cognitive examination: A survey on the evolution of multimodal evaluation from recognition to reasoning.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI The artificial intelligence cognitive examination: A survey on the evolution of multimodal evaluation from recognition to reasoning

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:14.291249Z

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Observation b2feaa87-586a-4f26-b123-3a86f551bed0 · outbound

This paper cites A Survey on Machine Learning Approaches for Modelling Intuitive Physics.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI A Survey on Machine Learning Approaches for Modelling Intuitive Physics

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:14.007481Z

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Observation 1f4abf85-31e7-4750-975d-afb41a9639cf · outbound

This paper cites Towards Reasoning in Large Language Models: A Survey.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Towards Reasoning in Large Language Models: A Survey

Reference 49

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Observation 60850933-dfc1-4d6a-938c-47311466340a · outbound

This paper cites Foundation Model Driven Robotics: A Comprehensive Review.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Foundation Model Driven Robotics: A Comprehensive Review

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:14.105503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d4c8694b-d649-453c-8936-a3d6348e1f44 · outbound

This paper cites Large physics models: towards a collaborative approach with large language models and foundation models.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Large physics models: towards a collaborative approach with large language models and foundation models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:06:14.801272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e7e0e12a-5840-4520-9749-9adcb59fb9f9 · outbound

This paper cites Understanding world or predicting future? a comprehensive survey of world models.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Understanding world or predicting future? a comprehensive survey of world models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:06:14.622287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4df93d73-3902-4173-94d3-453eb9d932cb · outbound

This paper cites Generative Physical AI in Vision: A Survey.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Generative Physical AI in Vision: A Survey

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:13.955950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c6548bbc-e5c9-4be7-85fb-043f2a382f6f · outbound

This paper cites Is sora a world simulator? A comprehensive survey on general world models and beyond.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Is sora a world simulator? A comprehensive survey on general world models and beyond

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:14.046676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3adc67a7-e343-457b-a920-adc0bb9a72e5 · outbound

This paper cites 3D and 4D World Modeling: A Survey.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI 3D and 4D World Modeling: A Survey

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-07-21T03:22:29.733321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3efdfbad-3c17-4484-8341-bc78a969f627 · outbound

This paper cites Ma- chine learning for data-driven discovery in solid earth geoscience.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Ma- chine learning for data-driven discovery in solid earth geoscience

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:06:14.644031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1155bdb1-b27e-452d-b8d3-b69a58739547 · outbound

This paper cites From 2D to 3D Cognition: A Brief Survey of General World Models.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI From 2D to 3D Cognition: A Brief Survey of General World Models

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:14.270943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 55bef481-ded4-48c6-b3c7-ad28c5e8dd6f · outbound

This paper cites A Survey on World Models Grounded in Acoustic Physical Information.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI A Survey on World Models Grounded in Acoustic Physical Information

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:14.234612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation caa0f455-795f-4e29-878e-dce737303bac · outbound

This paper cites From Efficient Multimodal Models to World Models: A Survey.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI From Efficient Multimodal Models to World Models: A Survey

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:14.281015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e264edb2-24db-4cb0-837f-9f5ffe6bdbd6 · outbound

This paper cites Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:14.051660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b0bf5690-f5f3-4805-af04-e63a675ad7cb · outbound

This paper cites Shapellm: Universal 3d object understanding for embodied interaction.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Shapellm: Universal 3d object understanding for embodied interaction

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:32.847923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a06fe336-df85-4c8e-b1ba-755306c28891 · outbound

This paper cites Foundation models for au- tonomous driving perception: A survey through core capabilities.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Foundation models for au- tonomous driving perception: A survey through core capabilities

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:06:14.619437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bed37388-69d9-4b64-b127-4d16aa12227b · outbound

This paper cites Embodied ai: From llms to world models.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Embodied ai: From llms to world models

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:13.991354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4ade6fc4-4ee5-4d0a-9052-c014f71b5246 · outbound

This paper cites A Survey: Learning Embodied Intelligence from Physical Simulators and World Models.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:14.085437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 53a7246a-da70-4b65-ae0c-623a5424b474 · outbound

This paper cites A survey on large lan- guage model based autonomous agents.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI A survey on large lan- guage model based autonomous agents

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:06:14.719335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ca393783-45e5-468a-abac-45c8711c57ac · outbound

This paper cites Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:14.117071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8a28e10e-52b4-4d17-b8d1-ed6b6fd210c6 · outbound

This paper cites A survey of embodied learning for object-centric robotic manipulation.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI A survey of embodied learning for object-centric robotic manipulation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:33.238326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ba7a432a-419c-4c7f-b003-22f63d192754 · outbound

This paper cites Toward Embodied AGI: A Review of Embodied AI and the Road Ahead.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Toward Embodied AGI: A Review of Embodied AI and the Road Ahead

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:14.230938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 435b1f82-d953-4a88-9c4b-a30bc62aae72 · outbound

This paper cites A survey of embodied ai: From simulators to research tasks.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI A survey of embodied ai: From simulators to research tasks

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:33.223506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1d9cc51d-2aca-4c30-b563-d3fc26688908 · outbound

This paper cites A Survey on Robotics with Foundation Models: toward Embodied AI.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI A Survey on Robotics with Foundation Models: toward Embodied AI

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:14.242862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3b4ea012-b18a-4b2f-b69a-73530e6a0e95 · outbound

This paper cites A survey on deep reinforcement learning algorithms for robotic manipulation.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI A survey on deep reinforcement learning algorithms for robotic manipulation

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:33.192858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d93eddd7-8b55-4359-92fc-3371de2ac1c6 · outbound

This paper cites GPT-4V(ision) system card.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI GPT-4V(ision) system card

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:33.181312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation beaff97f-a568-4c80-8937-411fc06bc773 · outbound

This paper cites Mask R-CNN.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Mask R-CNN

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:33.165260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1028e44f-a3f1-4c33-ac37-770fffe1c178 · outbound

This paper cites Grounding DINO: Mar- rying DINO with Grounded Pre-Training for Open-Set Object Detection.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Grounding DINO: Mar- rying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:33.149388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 74440f51-f432-44b4-8375-e4a46320e8de · outbound

This paper cites Qwen3-Omni Technical Report.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Qwen3-Omni Technical Report

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-05-18T10:01:14.200411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6afdb684-39a9-45a9-bf04-4916b89b799b · outbound

This paper cites Inter-object discriminative graph modeling for indoor scene recognition.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Inter-object discriminative graph modeling for indoor scene recognition

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:33.128880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f8206cc7-a626-4790-be57-863c8df83143 · outbound

This paper cites View-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI View-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:14.238878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5fb681d9-b7c5-4bb9-b6c3-c7ec2ed1c65d · outbound

This paper cites Cognition Guided Video Anomaly Detection Framework for Surveillance Services.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Cognition Guided Video Anomaly Detection Framework for Surveillance Services

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:33.112688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 22383a86-1f78-48bd-9480-efe070885e8e · outbound

This paper cites An expert ensemble for detecting anomalous scenes, interactions, and behaviors in autonomous driving.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI An expert ensemble for detecting anomalous scenes, interactions, and behaviors in autonomous driving

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:33.093144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation faf3b95e-bdf6-454d-9e63-c326ecee568e · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:33.076975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1c900b7b-b87e-4930-bb50-09f8d1167ded · outbound

This paper cites Roboflow100- VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Roboflow100- VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:33.055275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0d15a84d-069a-4f64-8e60-3678aedbe17b · outbound

This paper cites EagleVision: Object-level Attribute Multimodal LLM for Remote Sensing.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI EagleVision: Object-level Attribute Multimodal LLM for Remote Sensing

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:14.260861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4568d635-f05e-40f9-9305-ad2b451c5de1 · outbound

This paper cites ROD-MLLM: Towards More Reliable Object Detection in Multimodal Large Language Models.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI ROD-MLLM: Towards More Reliable Object Detection in Multimodal Large Language Models

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:33.037545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 684be2f3-7c2a-4b4c-adf1-9217102938aa · outbound

This paper cites SpatialScore: Towards Comprehensive Evaluation for Spatial Intelligence.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI SpatialScore: Towards Comprehensive Evaluation for Spatial Intelligence

Reference 84

Resolution: verified exact; local_arxiv, observed 2026-05-18T10:01:14.153756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 047b79f0-7217-4fbb-8f14-e195a10f33ce · outbound

This paper cites Open3DVQA: A Benchmark for Comprehensive Spatial Reasoning with Multimodal Large Language Model in Open Space.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Open3DVQA: A Benchmark for Comprehensive Spatial Reasoning with Multimodal Large Language Model in Open Space

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:33.026643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 05023239-0e6d-47ab-acbf-661b28dadc69 · outbound

This paper cites MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-26T02:02:26.295966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 604cf685-a24b-45f6-9aea-b812c0b97a82 · outbound

This paper cites Spatial-mllm: Boosting mllm capabilities in visual-based spatial intelligence.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Spatial-mllm: Boosting mllm capabilities in visual-based spatial intelligence

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:33.017722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bd75beba-7dd1-4556-8c34-63775b0c71f1 · outbound

This paper cites Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:32.719699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 730f1860-4e02-417f-83dc-3a8733aea893 · outbound

This paper cites Microsoft COCO: Common Objects in Context.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Microsoft COCO: Common Objects in Context

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:32.741234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 419a956a-2023-4f06-a6bd-eec9bffeb4e2 · outbound

This paper cites ImageNet: A Large- Scale Hierarchical Image Database.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI ImageNet: A Large- Scale Hierarchical Image Database

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:06:14.677236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8f2a14ae-cdf6-41f5-8a97-10f36359e9f4 · outbound

This paper cites Contrastive Learning of Image Representations Guided by Spatial Relations.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Contrastive Learning of Image Representations Guided by Spatial Relations

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:32.708805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7f40832b-336e-40d8-9e2a-658f1e87295d · outbound

This paper cites SpaGAN: A spatially- aware generative adversarial network for building gen- eralization in image maps.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI SpaGAN: A spatially- aware generative adversarial network for building gen- eralization in image maps

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:32.727329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 51053cce-fa6d-451a-9d28-f36ad9c71955 · outbound

This paper cites Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Con- cept Bottleneck Models.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Con- cept Bottleneck Models

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:32.688946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 06e1296a-8bc3-4bf2-9196-bb90bb297f71 · outbound

This paper cites Spatially-aware transformer for embodied agents.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Spatially-aware transformer for embodied agents

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:32.679865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9ea673a1-885e-42b6-bada-36f15019aee2 · outbound

This paper cites A review on multi-view learning.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI A review on multi-view learning

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:06:14.647041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0605d727-421a-49eb-95b5-fc482b2cfa80 · outbound

This paper cites Viewspatial-bench: Evaluating multi-perspective spatial localization in vision-language models.ArXiv, abs/2505.21500.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Viewspatial-bench: Evaluating multi-perspective spatial localization in vision-language models.ArXiv, abs/2505.21500

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:14.122369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4f375059-9815-4f0d-bead-375bc6ac8e24 · outbound

This paper cites Comprehensive multi- view representation learning.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Comprehensive multi- view representation learning

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:06:14.781982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d1d142fd-72d3-4449-84a4-f2ce713e267f · outbound

This paper cites A multi-view graph contrastive learning framework for deciphering spa- tially resolved transcriptomics data.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI A multi-view graph contrastive learning framework for deciphering spa- tially resolved transcriptomics data

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:32.672827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ac130e68-474a-41b0-aa73-62261d9d6781 · outbound

This paper cites Intrinsic Image Diffusion for Indoor Single-view Material Estimation.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Intrinsic Image Diffusion for Indoor Single-view Material Estimation

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:32.694874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation af73fec2-19f3-4f63-a107-f74ab7818719 · outbound

This paper cites Materials In Paintings (MIP): An interdisciplinary dataset for per- ception, art history, and computer vision.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Materials In Paintings (MIP): An interdisciplinary dataset for per- ception, art history, and computer vision

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T10:02:32.662979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers