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Paper Citation Record · LEDGER

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching

As of 9 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2606.05399.

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

pith.paper-citation-record.v1
2606.05399 v2

Coverage vector

measured 35 of 35 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-06-28T06:40:47.108140Z

measured 35 of 35 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

35 of 35 outbound references displayed

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  • verified fuzzy0
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External citation measurements

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Outbound references

Observation 5e1cf5a4-18be-49df-acb4-efa468c44c0e · outbound

This paper cites Physx-3d: Physical-grounded 3d asset gener- ation.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Physx-3d: Physical-grounded 3d asset gener- ation

Reference 1

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Observation dff2142b-312d-4d9d-80c0-a6bbfe56615f · outbound

This paper cites Vid2sim: Generalizable, video-based reconstruction of ap- pearance, geometry and physics for mesh-free simulation.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Vid2sim: Generalizable, video-based reconstruction of ap- pearance, geometry and physics for mesh-free simulation

Reference 2

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Observation 2587e204-9363-42ac-ad55-d751542f45e7 · outbound

This paper cites Bouman, Justin G.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Bouman, Justin G

Reference 3

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Observation 5db3425f-4aaf-48b1-8367-49aafb34dc54 · outbound

This paper cites an unresolved cited work.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Unresolved cited work

Reference 4

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Observation 1501b8c8-4d58-45b6-aaa0-d6dad9ec4ac7 · outbound

This paper cites H ´enaff, Matthew M.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching H ´enaff, Matthew M

Reference 5

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Observation a4494c51-b723-4536-ad6a-3fe4d3b86a9b · outbound

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

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching The material point method for simulating continuum materials

Reference 6

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Observation 94314904-a7b5-47a9-b5d4-87e28f158d08 · outbound

This paper cites Phystwin: Physics- informed reconstruction and simulation of deformable ob- jects from videos.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Phystwin: Physics- informed reconstruction and simulation of deformable ob- jects from videos

Reference 7

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Observation cb5b1ccb-4f6e-4075-a0f7-a05b83d36d8b · outbound

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

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 8

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Observation 5e0236af-9b76-4cfe-8d13-8b581822ea88 · outbound

This paper cites Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels

Reference 9

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Observation 0f954cde-9d1a-4ad6-bf66-b03335ed74d6 · outbound

This paper cites Pac-nerf: Physics augmented continuum neural ra- diance fields for geometry-agnostic system identification.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Pac-nerf: Physics augmented continuum neural ra- diance fields for geometry-agnostic system identification

Reference 10

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Observation 71dbd798-de76-4e50-a459-4538a6378472 · outbound

This paper cites Generative image dynamics.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Generative image dynamics

Reference 11

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Observation 2121007a-e6e1-4c49-8837-be294c80aa76 · outbound

This paper cites Wonderplay: Dy- namic 3d scene generation from a single image and actions.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Wonderplay: Dy- namic 3d scene generation from a single image and actions

Reference 12

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Observation e4ccbe62-e828-4b6d-81d2-96bced932071 · outbound

This paper cites Omniphysgs: 3d constitutive gaussians for general physics- based dynamics generation.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Omniphysgs: 3d constitutive gaussians for general physics- based dynamics generation

Reference 13

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Observation 511fc953-64c3-40e6-8ae3-f228e201686c · outbound

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UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Unresolved cited work

Reference 14

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UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Unresolved cited work

Reference 15

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Observation 5dff7ede-b8c8-4dc8-9dd6-80e3acf7d3bd · outbound

This paper cites an unresolved cited work.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Unresolved cited work

Reference 16

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Observation d524f0e9-deaa-4ab2-b4fd-1771281c5759 · outbound

This paper cites Learning transferable visual models from natural language supervision.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Learning transferable visual models from natural language supervision

Reference 17

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Observation 8f0e43c5-4348-4cf8-aa11-29f43f46f54f · outbound

This paper cites Pugs: Zero- shot physical understanding with gaussian splatting.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Pugs: Zero- shot physical understanding with gaussian splatting

Reference 18

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Observation 6d114ec3-cb6c-40e9-914a-a2eb79f0f106 · outbound

This paper cites Deformation capture and modeling of soft objects.ACM Trans.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Deformation capture and modeling of soft objects.ACM Trans

Reference 19

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Observation 052da32f-4b3a-4586-a529-9e75688207c9 · outbound

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

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Physctrl: Generative physics for controllable and physics-grounded video genera- tion

Reference 20

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Observation 8baae241-8c84-45fc-8c01-44e4fdc00977 · outbound

This paper cites Bovik, H.R.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Bovik, H.R

Reference 21

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Observation a9edf941-dfe6-4757-ac88-7262179d8634 · outbound

This paper cites Lim, Bill Freeman, and Joshua B.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Lim, Bill Freeman, and Joshua B

Reference 22

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Observation 8d0d70c4-8efb-439b-93a0-a2f592078515 · outbound

This paper cites Structured 3d latents for scalable and versatile 3d generation.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Structured 3d latents for scalable and versatile 3d generation

Reference 23

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Observation cbf88290-abbb-44fd-9d37-9c1c0f613e8e · outbound

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

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Physgaussian: Physics- integrated 3d gaussians for generative dynamics

Reference 24

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Observation 2a27d107-63c4-446d-9b6b-db9082818eb5 · outbound

This paper cites Zhai, Yuan Shen, Emily Y.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Zhai, Yuan Shen, Emily Y

Reference 25

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Observation 5628e493-ece1-40de-a976-0405208dce58 · outbound

This paper cites Efros, Eli Shecht- man, and Oliver Wang.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Efros, Eli Shecht- man, and Oliver Wang

Reference 26

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Observation 4f72eca3-3021-4f9f-9fbc-f79c8f0a07bd · outbound

This paper cites Feng, Changxi Zheng, Noah Snavely, Jiajun Wu, and William T.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Feng, Changxi Zheng, Noah Snavely, Jiajun Wu, and William T

Reference 27

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Observation 053d7a46-5420-4475-99e9-8866ac79b7fb · outbound

This paper cites Reconstruction and simulation of elastic objects with spring- mass 3d gaussians.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Reconstruction and simulation of elastic objects with spring- mass 3d gaussians

Reference 28

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UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Lower bound is too high

Reference 29

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Observation a1886c4f-7523-49f6-b706-6f3110d28c16 · outbound

This paper cites Parts must differ in physical behavior.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Parts must differ in physical behavior

Reference 30

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UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Unresolved cited work

Reference 31

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UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching • Intervals must create visually distinct soft vs

Reference 32

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This paper cites material_dict.

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching material_dict

Reference 33

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UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching Unresolved cited work

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UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching This section details the specific implementation and training protocols for each baseline

Reference 35

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Pith citing papers

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