GS-Agent: Creating 4D Physical Worlds With Generative Simulation | Paper Citation Record

Observation 37ffedc4-b01f-4f0d-ab3d-0f1a8ab005bd · outbound

This paper cites Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents

Reference 1

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Observation 2455d642-728c-44eb-8a08-8912b202a4ee · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 2

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Observation f5d8cdeb-071e-4f2f-94eb-6132127990f8 · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 3

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Observation 4725872f-b59d-476a-a7f9-3ca7792cc9b5 · outbound

This paper cites Bahmani, I.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Bahmani, I

Reference 4

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Observation 6f9412b1-b6bf-4b28-9d42-251fb6b1b691 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 5

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Observation 6efa7840-a910-4ddb-8bf8-8cce975846c7 · outbound

This paper cites Boeing and T.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Boeing and T

Reference 6

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Observation 00be9bdb-cd23-4334-bd26-401d35314cf8 · outbound

This paper cites Perception Encoder: The best visual embeddings are not at the output of the network.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Perception Encoder: The best visual embeddings are not at the output of the network

Reference 7

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Observation 4d5f6195-43cd-433f-99ee-a9e756633f52 · outbound

This paper cites Bruce, M.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Bruce, M

Reference 8

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Observation 6ff09d51-6ff1-4bb9-a727-6e36872ffcd8 · outbound

This paper cites Text to 3D Scene Generation with Rich Lexical Grounding.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Text to 3D Scene Generation with Rich Lexical Grounding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:40.767751Z

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Observation 8c697a99-e118-4d20-8aa9-e52168079f12 · outbound

This paper cites Chang, M.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Chang, M

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:40.843879Z

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Observation 1683bf94-f382-4a13-a046-0bfa38f47392 · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 11

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Observation 33a501fa-c2d3-4c8d-8b5f-52f4bcec89a3 · outbound

This paper cites an unresolved cited work.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 12

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Observation e65dc4c9-bd96-4e04-9a1b-9b9088ba4083 · outbound

This paper cites an unresolved cited work.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 13

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Observation 7f3489aa-6fd9-43c1-9df7-4590cfdc0e9f · outbound

This paper cites LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes

Reference 14

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Observation d83211a1-22f4-4764-8b2e-c91ef779bcde · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 15

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Observation 3ae65d5d-cdcb-4f30-a223-28a0e0344796 · outbound

This paper cites Video Language Planning.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Video Language Planning

Reference 16

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Observation 4499e0be-068b-4f93-a1b9-d0c451c09fda · outbound

This paper cites Gillman, C.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Gillman, C

Reference 17

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Observation ff63682a-455c-4a81-9f7d-a023d3243ab7 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 18

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Observation 9c352cd6-1e5a-4672-8afb-d8a426280c6e · outbound

This paper cites A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:41.683740Z

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Observation 6bdbd6d8-f47d-4819-97eb-a0b5e4a7ee39 · outbound

This paper cites CameraCtrl: Enabling Camera Control for Text-to-Video Generation.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation CameraCtrl: Enabling Camera Control for Text-to-Video Generation

Reference 20

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Observation bab5ca9c-1512-457b-b181-436000616c1e · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Imagen Video: High Definition Video Generation with Diffusion Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:41.874025Z

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Observation 1064d165-a1bb-49d8-939a-aa96376f68dc · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 22

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Observation b967574c-5993-41fb-b275-793602d11176 · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 23

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Observation 1be00bf4-9fb8-4eb5-9aac-7caffa9eb5e7 · outbound

This paper cites OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.076735Z

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Observation e56c4f9a-0678-4ff3-afbd-f1592b6499ac · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 25

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Observation 3418ff69-8d8b-4a8d-846b-7c14d7cc836a · outbound

This paper cites Huang, C.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Huang, C

Reference 26

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Observation 7386b051-4989-4adb-9fd4-f4255dc9b84f · outbound

This paper cites Huang, Y.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Huang, Y

Reference 27

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Observation 4e2c9f6e-5468-4183-ae7a-a477fde47c66 · outbound

This paper cites Jiang, C.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Jiang, C

Reference 28

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Observation acb48275-7f89-49b1-96ba-c0b92a27b266 · outbound

This paper cites How Far is Video Generation from World Model: A Physical Law Perspective.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation How Far is Video Generation from World Model: A Physical Law Perspective

Reference 29

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Observation 251e1a99-dd8e-4408-81e2-3fe5fd703cbd · outbound

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

GS-Agent: Creating 4D Physical Worlds With Generative Simulation VideoPoet: A Large Language Model for Zero-Shot Video Generation

Reference 30

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Observation 97db5779-4b13-4128-8e7a-ef3caac1e48a · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 31

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Observation d16c35f0-d1e1-4d5a-9b4a-c2bdc7301c97 · outbound

This paper cites Li, H.-X.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Li, H.-X

Reference 32

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Observation 18e482bd-c9b6-4f99-8506-30cf03e0c49c · outbound

This paper cites Towards Understanding Camera Motions in Any Video.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Towards Understanding Camera Motions in Any Video

Reference 33

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Observation e3c463c3-3262-4291-afab-8018c6349af2 · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 34

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Observation b2a1f435-f7c4-4e3a-a63b-534a398d2666 · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 35

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Observation 8af09b55-b6a1-4293-85f8-989d78f64d3c · outbound

This paper cites Visual Instruction Tuning.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Visual Instruction Tuning

Reference 36

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Observation cfc5f62f-6e7f-4594-afa2-bf371ea13b68 · outbound

This paper cites Liu, X.-W.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Liu, X.-W

Reference 37

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Observation 0fdeb4d4-de79-44a3-bd18-cbec43cc7bb4 · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 38

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Observation 80e4361a-38cb-4f1c-b3c5-74ff50ba0c61 · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 39

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Observation a1e3e6d6-3d2d-42df-9b70-7f94f731cb40 · outbound

This paper cites LL3M: Large Language 3D Modelers.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation LL3M: Large Language 3D Modelers

Reference 40

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Observation 6ce56d0e-b781-4366-a4ef-d73cddda4eb9 · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 41

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Observation 9b527aea-404d-4f00-b6aa-989ae9abddad · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 42

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Observation ba7f19ef-3034-4281-b2ba-2070b568db5e · outbound

This paper cites Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation

Reference 43

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Observation a0ad1d31-bb34-4f18-aaef-b6213631a90a · outbound

This paper cites Meshy: Generative ai for 3d content creation, 2024.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Meshy: Generative ai for 3d content creation, 2024

Reference 44

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Observation 7e60a31f-4114-4617-aad4-8e2df1e75ba6 · outbound

This paper cites Motamed, M.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Motamed, M

Reference 45

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Observation c4e47928-781e-49f2-b640-c903edef9886 · outbound

This paper cites M¨uller, D.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation M¨uller, D

Reference 46

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Observation 78e64a68-9147-4de9-a152-b38a46ddc5ed · outbound

This paper cites Gpt-4 technical report, 2023.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Gpt-4 technical report, 2023

Reference 47

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Observation 6763174d-4937-44a9-b19d-c35330a89213 · outbound

This paper cites Sora 2, 2025.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Sora 2, 2025

Reference 48

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Observation a69479cc-07ee-426f-b59c-bb123e59427b · outbound

This paper cites Parker-Holder and S.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Parker-Holder and S

Reference 49

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Observation c5719f06-559b-49e4-8cf9-eaafb9addc43 · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation Peebles and S

Reference 50

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Observation 80c9ea09-d338-44e4-a008-1c376c86552e · outbound

This paper cites Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution

Reference 51

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Observation 07ed7122-5190-4de9-b2f4-17a57497f885 · outbound

This paper cites Radford, J.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Radford, J

Reference 52

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Observation 97eaef23-7826-4357-a794-28e0b310d905 · outbound

This paper cites Shinn, F.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Shinn, F

Reference 53

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Observation bc2afcd2-6d0a-4617-9e0a-c3e45eaf2a90 · outbound

This paper cites Sohl-Dickstein, E.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Sohl-Dickstein, E

Reference 54

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Observation 00d60551-3801-475b-a569-8ffd0efc344f · outbound

This paper cites Cognitive Architectures for Language Agents.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Cognitive Architectures for Language Agents

Reference 55

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Observation 70506437-5ba5-4d45-8865-ab7e0319198c · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 56

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Observation 66a9c363-4d88-4a84-98b1-79347a47ecbe · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 57

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Observation e9a7b2fd-c376-4e95-a26d-3fa0c3ac1147 · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 58

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Observation 0fb16349-e722-4875-9ccd-5cf01b7bfd40 · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation A Survey on Large Language Model based Autonomous Agents

Reference 59

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Observation 28a9aca1-7816-4e48-a884-5d9dcbe3751b · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 60

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Observation 773073da-5a7a-46a9-b625-e61951b945c3 · outbound

This paper cites Diffusion Models in 3D Vision: A Survey.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Diffusion Models in 3D Vision: A Survey

Reference 61

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Observation 649ac35c-6178-4d6e-b233-e51d61fce427 · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 62

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Observation 79e434fe-3c70-4495-856c-5cf24ed55277 · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 63

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Observation db262d06-6a05-4ef1-9b3c-8bbbe87643c3 · outbound

This paper cites Pandora: Towards General World Model with Natural Language Actions and Video States.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Pandora: Towards General World Model with Natural Language Actions and Video States

Reference 64

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Observation 518a7853-e83c-4d84-94c7-3aea80828126 · outbound

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GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 65

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Observation af3fdb55-0501-4a84-8094-24915974cda8 · outbound

This paper cites Comp4D: LLM-Guided Compositional 4D Scene Generation.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Comp4D: LLM-Guided Compositional 4D Scene Generation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.531487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9721f06-07e0-4f1b-9e1f-bb64993bd63a · outbound

This paper cites an unresolved cited work.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.534039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6085685-0213-46a1-9bf1-0dbd990162ce · outbound

This paper cites an unresolved cited work.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.536414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d8488da-0138-4911-b589-d0f22ddd9d42 · outbound

This paper cites Vision-as-Inverse-Graphics Agent via Interleaved Multimodal Reasoning.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Vision-as-Inverse-Graphics Agent via Interleaved Multimodal Reasoning

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.538868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3905f914-25e4-4ea6-805c-94291165ef1f · outbound

This paper cites an unresolved cited work.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.541426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a90af15b-7cde-4229-9be2-93be038cd73b · outbound

This paper cites an unresolved cited work.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.543706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18c10e54-5871-4d57-9d75-cb01093eec87 · outbound

This paper cites an unresolved cited work.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.546101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b29ec615-5d3f-496d-9d7f-641a83563a85 · outbound

This paper cites an unresolved cited work.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.548704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7721eaf-c86f-495b-acdf-9a4a72faf3a8 · outbound

This paper cites Zhang, W.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Zhang, W

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.551115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 320dfb59-abd7-4dda-ae26-5af9aa8721d9 · outbound

This paper cites Zhang, P.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Zhang, P

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.553402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e61d4bed-f1cd-4d91-b332-be1546a6cf6a · outbound

This paper cites Zhang, H.-X.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Zhang, H.-X

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.555807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92841907-bce0-4399-a65b-b9ac4f4c9e09 · outbound

This paper cites Zhang, J.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Zhang, J

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.558169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67af25a8-8718-4857-966c-76813a2a3276 · outbound

This paper cites A tracking shot of a green ball rolling on the ﬂoor while another yellow cylinder sits on the ﬂoor.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation A tracking shot of a green ball rolling on the ﬂoor while another yellow cylinder sits on the ﬂoor

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.560547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50c91fd8-6416-4b66-911b-b286f5550142 · outbound

This paper cites This ensures entities do not fall through the world due to gravity.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation This ensures entities do not fall through the world due to gravity

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.563684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5022407b-6985-41ce-bba8-3ef226a4d223 · outbound

This paper cites If anything is unclear or missing, use ‘send_message‘ to request clarification from the Manager Agent.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation If anything is unclear or missing, use ‘send_message‘ to request clarification from the Manager Agent

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.566229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc4decb7-122d-4b15-a119-0381ed336595 · outbound

This paper cites Only try to generate assets or use primitives when there’s no good choice.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Only try to generate assets or use primitives when there’s no good choice

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.568829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ebe0b5e-038a-492e-beeb-194a68344a95 · outbound

This paper cites - Use the ‘send_message‘ tool to ask the Render Agent to provide visual feedback if needed.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation - Use the ‘send_message‘ tool to ask the Render Agent to provide visual feedback if needed

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.571671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bed51630-21d6-4616-a51b-e79f237114ba · outbound

This paper cites an unresolved cited work.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation Unresolved cited work

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.574116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6732d2f1-bc27-4344-a68d-c7f617509700 · outbound

This paper cites recon" vis_mode for particle materials MPM and SPH. The default vis_mode of.

GS-Agent: Creating 4D Physical Worlds With Generative Simulation recon" vis_mode for particle materials MPM and SPH. The default vis_mode of

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-01T07:14:42.577039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers