PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback | Paper Citation Record

Observation ff506174-1990-4aeb-913c-1215adf519c2 · outbound

This paper cites Physgaussian: Physics-integrated 3d gaussians for generative dynamics.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Physgaussian: Physics-integrated 3d gaussians for generative dynamics

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation fe5642fc-78ab-4a8f-a4a5-abe251c502bd · outbound

This paper cites Physgm: Large physical gaussian model for feed-forward 4d synthesis.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Physgm: Large physical gaussian model for feed-forward 4d synthesis

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:17:29.190065Z

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Observation 4023a806-a3c8-4a5a-ba5b-f7b629534db9 · outbound

This paper cites Dreamphysics: Learning physics-based 3d dynamics with video diffusion priors.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Dreamphysics: Learning physics-based 3d dynamics with video diffusion priors

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation ae6eff3b-2331-4511-871b-7d550d03f381 · outbound

This paper cites OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:17:29.193186Z

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Observation 1cde3cfb-843f-4ce5-a7cd-28384543903e · outbound

This paper cites Physdreamer: Physics-based interaction with 3d objects via video generation.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Physdreamer: Physics-based interaction with 3d objects via video generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation a5a37288-d07f-44f0-ab6e-01f93d415363 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-02T23:17:29.187152Z

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Observation 70e26b09-4839-444c-9685-ab847143c526 · outbound

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

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback OpenVLA: An Open-Source Vision-Language-Action Model

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-07-02T23:17:29.235379Z

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Observation c261242a-b02e-4fae-8a9a-c104986435b4 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback DreamFusion: Text-to-3D using 2D Diffusion

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-02T23:17:29.230281Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bf786c79-8fb4-42cc-85ab-823e35875584 · outbound

This paper cites Physsplat: Efficient physics simulation for 3d scenes via mllm-guided gaussian splatting.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Physsplat: Efficient physics simulation for 3d scenes via mllm-guided gaussian splatting

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation ec2d0e79-55b4-4a62-8356-5e7cd9a0a3ad · outbound

This paper cites The material point method for simulating continuum materials.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback The material point method for simulating continuum materials

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation fef67386-4858-4bb8-bc8a-e98d21ea0b62 · outbound

This paper cites A material point method for snow simulation.ACM Transactions on Graphics (TOG), 32(4):1–10, 2013.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback A material point method for snow simulation.ACM Transactions on Graphics (TOG), 32(4):1–10, 2013

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation 8892061d-7b40-438e-9df7-a01bf3207cb7 · outbound

This paper cites Segment anything.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Segment anything

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation e25ed262-f1c3-4de8-aa93-3cf7789a24ba · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback SAM 2: Segment Anything in Images and Videos

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-02T23:17:29.222247Z

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Observation 4e419173-53da-42cd-9f34-bfe2f02f0eac · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Depth anything: Unleashing the power of large-scale unlabeled data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation 6e894a8f-b8d3-4e81-9337-62e08d53cae8 · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Depth Anything 3: Recovering the Visual Space from Any Views

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T23:17:29.224908Z

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Observation 17f59dae-60f0-43c5-85cc-557ce16c736f · outbound

This paper cites Cotracker3: Simpler and better point tracking by pseudo-labelling real videos.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Cotracker3: Simpler and better point tracking by pseudo-labelling real videos

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation 74db82b4-0f9d-4537-9385-c1f45d906528 · outbound

This paper cites Cotracker: It is better to track together.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Cotracker: It is better to track together

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation 73528961-3cc7-49ee-9cf8-0e7a2ac04659 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Trans.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation de53c190-69eb-441d-b438-02e01d20a88f · outbound

This paper cites Shap-E: Generating Conditional 3D Implicit Functions.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Shap-E: Generating Conditional 3D Implicit Functions

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-02T23:17:29.243296Z

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Observation 62346c17-c373-46cb-a927-139dd1b12cab · outbound

This paper cites Point-E: A System for Generating 3D Point Clouds from Complex Prompts.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-02T23:17:29.232640Z

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Observation cb328393-3f67-4f58-a4c9-c3293f3f941a · outbound

This paper cites In Computer Graphics Forum, volume 36, pages 1–12.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback In Computer Graphics Forum, volume 36, pages 1–12

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation c16dc349-404f-4d00-8a82-e6fc2ea0b352 · outbound

This paper cites Single-stage diffusion nerf: A unified approach to 3d generation and reconstruction.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Single-stage diffusion nerf: A unified approach to 3d generation and reconstruction

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation a05dfbd1-f4a7-4457-a8f6-0723915b3641 · outbound

This paper cites Lgm: Large multi-view gaussian model for high-resolution 3d content creation.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Lgm: Large multi-view gaussian model for high-resolution 3d content creation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation b346b9e6-9b4b-4ea6-80d7-3219ee9787b4 · outbound

This paper cites LRM: Large Reconstruction Model for Single Image to 3D.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback LRM: Large Reconstruction Model for Single Image to 3D

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-02T23:17:29.240732Z

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Observation 94bd512a-2a00-4aa2-a3c6-09d048b419fb · outbound

This paper cites Long-lrm: Long-sequence large reconstruction model for wide-coverage gaussian splats.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Long-lrm: Long-sequence large reconstruction model for wide-coverage gaussian splats

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation 51d68221-327f-484a-ba95-3684838908a7 · outbound

This paper cites Gs-lrm: Large reconstruction model for 3d gaussian splatting.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Gs-lrm: Large reconstruction model for 3d gaussian splatting

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation 5f417bdd-cdf1-49da-9292-12f5d1520e64 · outbound

This paper cites Motiongs: Exploring explicit motion guidance for deformable 3d gaussian splatting.Advances in Neural Information Processing Systems, 37:101790–101817, 2024.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Motiongs: Exploring explicit motion guidance for deformable 3d gaussian splatting.Advances in Neural Information Processing Systems, 37:101790–101817, 2024

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation 640d6845-74fd-43ae-ac1c-5776434bf398 · outbound

This paper cites Align your gaussians: Text-to-4d with dynamic 3d gaussians and composed diffusion models.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Align your gaussians: Text-to-4d with dynamic 3d gaussians and composed diffusion models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation 91a25944-d9a2-4513-b418-c59c9088f20e · outbound

This paper cites DreamGaussian4D: Generative 4D Gaussian Splatting.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback DreamGaussian4D: Generative 4D Gaussian Splatting

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:17:29.216592Z

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Observation 0233b243-31ce-44cd-90e2-70007b75491b · outbound

This paper cites Improved distribution matching distillation for fast image synthesis.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Improved distribution matching distillation for fast image synthesis

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation 524afe98-2b02-4157-92e8-6cc67d718afe · outbound

This paper cites 4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback 4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:17:29.210372Z

Source-reported events for the cited work

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Observation 0f99a4b0-e7c5-4b4e-8c3a-dd526941e7be · outbound

This paper cites 4diffusion: Multi-view video diffusion model for 4d generation.Advances in Neural Information Processing Systems, 37:15272–15295, 2024.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback 4diffusion: Multi-view video diffusion model for 4d generation.Advances in Neural Information Processing Systems, 37:15272–15295, 2024

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation a644756d-b79d-47b7-8751-0327cdc8eb71 · outbound

This paper cites Animate3d: Animating any 3d model with multi-view video diffusion.Advances in Neural Information Processing Systems, 37:125879–125906, 2024.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Animate3d: Animating any 3d model with multi-view video diffusion.Advances in Neural Information Processing Systems, 37:125879–125906, 2024

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation cd07edab-1b22-4909-a542-fb0fa1a02d8b · outbound

This paper cites Efficient4d: Fast dynamic 3d object generation from a single-view video.International Journal of Computer Vision, 134(1):14, 2026.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Efficient4d: Fast dynamic 3d object generation from a single-view video.International Journal of Computer Vision, 134(1):14, 2026

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation 4486cfbe-8a15-47b7-b06c-e8bea4365711 · outbound

This paper cites Physctrl: Generative physics for controllable and physics-grounded video generation.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Physctrl: Generative physics for controllable and physics-grounded video generation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:17:29.207624Z

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Observation f73d3ef3-4518-43d5-aa27-90a9a6ec974c · outbound

This paper cites Lome: Learning human-object manipulation with action-conditioned egocentric world model.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Lome: Learning human-object manipulation with action-conditioned egocentric world model

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:17:29.246173Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 52443b4f-29f0-442c-b827-803f6293dddf · outbound

This paper cites Force prompting: Video generation models can learn and gen- eralize physics-based control signals.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Force prompting: Video generation models can learn and gen- eralize physics-based control signals

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:17:29.219480Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 907f8ad8-a813-4b24-9912-052ccb7ced2b · outbound

This paper cites Warp: A high-performance python framework for gpu simulation and graphics.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Warp: A high-performance python framework for gpu simulation and graphics

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation 616cef5c-849a-4ddf-98d6-f56cf75e69f3 · outbound

This paper cites i- physgaussian: Implicit physical simulation for 3d gaussian splatting.arXiv preprint arXiv:2602.17117, 2026.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback i- physgaussian: Implicit physical simulation for 3d gaussian splatting.arXiv preprint arXiv:2602.17117, 2026

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:17:29.201274Z

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Observation f864b63e-7efb-4e86-87cd-5235bdc41f85 · outbound

This paper cites PhysMotion: Physics-Grounded Dynamics From a Single Image.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback PhysMotion: Physics-Grounded Dynamics From a Single Image

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:17:29.204311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ec986947-e581-47f2-83a4-cea8f50fab82 · outbound

This paper cites Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:17:29.213200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5bed9b2c-e106-4202-ae24-37ea2425a3bc · outbound

This paper cites Motionphysics: Learnable motion distillation for text-guided simulation.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Motionphysics: Learnable motion distillation for text-guided simulation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation 13b99017-9a40-44ef-bcfa-0a09b51bc302 · outbound

This paper cites Physgen3d: Crafting a miniature interactive world from a single image.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Physgen3d: Crafting a miniature interactive world from a single image

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation b3a86f64-db72-46d8-8428-1dbed6350575 · outbound

This paper cites Physgen: Rigid-body physics-grounded image-to-video generation.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Physgen: Rigid-body physics-grounded image-to-video generation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation b9f95b70-c303-46f2-8444-7e6339ab089e · outbound

This paper cites arXiv preprint arXiv:2603.06022 (2026) 3.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback arXiv preprint arXiv:2603.06022 (2026) 3

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:17:29.227697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 03f28520-365c-441d-a14a-73fd929e0965 · outbound

This paper cites Fastphysgs: Accelerating physics-based dynamic 3dgs simulation via interior completion and adaptive optimization.arXiv preprint arXiv:2602.01723, 2026.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Fastphysgs: Accelerating physics-based dynamic 3dgs simulation via interior completion and adaptive optimization.arXiv preprint arXiv:2602.01723, 2026

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:17:29.238288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cc7dd9ea-fb77-4b7c-b78a-8f214d9c4780 · outbound

This paper cites PhysChoreo: Physics-Controllable Video Generation with Part-Aware Semantic Grounding.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback PhysChoreo: Physics-Controllable Video Generation with Part-Aware Semantic Grounding

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-07-02T23:17:29.251670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cea37cdc-c051-46ef-b1dc-1d86c70530ac · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-07-02T23:17:29.198467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b19a5e51-9e3b-4f8d-b517-a802d2cdfaca · outbound

This paper cites ProgPrompt: Generating Situated Robot Task Plans using Large Language Models.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback ProgPrompt: Generating Situated Robot Task Plans using Large Language Models

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-07-02T23:17:29.248695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 203386c0-fdad-47b4-b86c-3376c49e1719 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.Advances in neural information processing systems, 36: 68539–68551, 2023.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Toolformer: Language models can teach themselves to use tools.Advances in neural information processing systems, 36: 68539–68551, 2023

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Observation b65128b6-0a47-4f9a-90ff-5e3c261ebc12 · outbound

This paper cites Eureka: Human-Level Reward Design via Coding Large Language Models.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Eureka: Human-Level Reward Design via Coding Large Language Models

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-07-02T23:17:29.195856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 33ecabfc-8b61-42dc-8a93-cbd83327c66a · outbound

This paper cites Grove: A generalized reward for learning open-vocabulary physical skill.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Grove: A generalized reward for learning open-vocabulary physical skill

Reference 52

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

Source-reported events for the cited work

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Observation 70b6320e-e5fd-486d-ae4d-4e9f1da381c0 · outbound

This paper cites Layoutgpt: Compositional visual planning and generation with large language models.Advances in Neural Information Processing Systems, 36:18225–18250, 2023.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Layoutgpt: Compositional visual planning and generation with large language models.Advances in Neural Information Processing Systems, 36:18225–18250, 2023

Reference 53

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1c1b186-9844-4452-a2ba-1f20a7d35028 · outbound

This paper cites Holodeck: Language guided generation of 3d embodied ai environments.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Holodeck: Language guided generation of 3d embodied ai environments

Reference 54

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

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Unavailable: canonical work link unavailable.

Observation dd4193e2-3140-4f18-b322-4b2796014804 · outbound

This paper cites Phyt2v: Llm-guided iterative self- refinement for physics-grounded text-to-video generation.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Phyt2v: Llm-guided iterative self- refinement for physics-grounded text-to-video generation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 949b7318-3eae-4a2b-85be-9308812b5e18 · outbound

This paper cites Qwen3.5: Towards native multimodal agents, February 2026.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Qwen3.5: Towards native multimodal agents, February 2026

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 231cb9eb-4d74-4df8-8c60-3c471c0a9a23 · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Objaverse: A universe of annotated 3d objects

Reference 57

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e155f0d9-f03e-4061-818d-07fae961cdee · outbound

This paper cites Vector Field Parser.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Vector Field Parser

Reference 58

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12088db9-ea89-4d95-a350-6eb7adad07f8 · outbound

This paper cites default_drop.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback default_drop

Reference 59

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dad84685-3c54-4f2d-8fe0-8cb74d245f36 · outbound

This paper cites Mapped to a continuous external force field ( fext) accumulated over the grid update phase.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Mapped to a continuous external force field ( fext) accumulated over the grid update phase

Reference 60

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 093062c9-30bc-4112-aafd-3270f238dde5 · outbound

This paper cites slightly.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback slightly

Reference 61

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7835d0a8-a1b7-47fd-934f-fb9cda129031 · outbound

This paper cites However, the final mechanical parameters MUST be enclosed within a valid JSON block.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback However, the final mechanical parameters MUST be enclosed within a valid JSON block

Reference 62

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e40eb3d1-7cc2-4fd7-a864-cee933dd3ea7 · outbound

This paper cites The Gaussian means ( µ) are directly mapped to initial particle positions ( xp).

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback The Gaussian means ( µ) are directly mapped to initial particle positions ( xp)

Reference 63

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cd6f283-8ba2-4506-b4e9-d6f550f19192 · outbound

This paper cites This includes the material type index (e.g., 0 for jelly, 1 for metal, 2 for sand) and its corresponding Young’s modulus (E) and Poisson’s ratio (ν).

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback This includes the material type index (e.g., 0 for jelly, 1 for metal, 2 for sand) and its corresponding Young’s modulus (E) and Poisson’s ratio (ν)

Reference 64

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cfdd205-01ba-4050-9b4f-c187e7599d7c · outbound

This paper cites an unresolved cited work.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback Unresolved cited work

Reference 65

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a6acfd0-0b24-4265-ad36-8ffff4be5b33 · outbound

This paper cites simulation-in- the-loop.

PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback simulation-in- the-loop

Reference 66

Resolution: unresolved; no resolver link, observed 2026-06-27T18:24:06.159337Z

Source-reported events for the cited work

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Outbound references

Pith citing papers