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Paper Citation Record · LEDGER

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels

As of 14 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 14 inbound Pith citation observations for arXiv:2508.17437.

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

pith.paper-citation-record.v1
2508.17437 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:15:13.237903Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:25:27.556183Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T07:46:46.265374Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact1
  • verified fuzzy23
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7fce0800-bfff-4f63-9942-82ea6ec3b64e · outbound

This paper cites Physically embodied gaussian splatting: A realtime correctable world model for robotics.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Physically embodied gaussian splatting: A realtime correctable world model for robotics

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-05T18:15:17.801850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:08.793966Z digest=sha256:a5d1fa903232d19698e3d31bb6aedab0f92aa8b2e275d42a1dacdb0560ca9d54

Observation b3019726-8003-4e8d-bc28-6bd668e38d66 · outbound

This paper cites Physion: Evaluating Physical Prediction from Vision in Humans and Machines.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Physion: Evaluating Physical Prediction from Vision in Humans and Machines

Reference 2

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:15:08.880774Z digest=sha256:53be1a65cedd882b80a2c9485f925a1ede993c88cc54b8e99e6ec94d19e63471

Observation 8dbab40a-614f-4096-8205-d09512c616d9 · outbound

This paper cites Material recognition in the wild with the materials in context database.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Material recognition in the wild with the materials in context database

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-05T18:15:17.640188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:08.929723Z digest=sha256:d545b3ab014a894446fdf1f3093306f33e8fe22c60decb1b46802d5a50a1642f

Observation a1842aa7-7722-4e55-babc-180a1be384d2 · outbound

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

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Physx: Physical-grounded 3d asset generation

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:15:08.990136Z digest=sha256:50ca212b2a82dd64fb74eaa49807bccc0024115afabbd55c0f73dcb2677c57de

Observation 57ec72b3-7348-4469-98e2-c16c293dfc07 · outbound

This paper cites PhysGen3D: Crafting a Miniature Interactive World from a Single Image.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels PhysGen3D: Crafting a Miniature Interactive World from a Single Image

Reference 5

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source=pdf_text observed=2026-08-05T18:15:09.043005Z digest=sha256:f65c9aafbbd5e0fd67e2c141dfd6a6b087349e3a87f8bb27a519cd2eae3bc55c

Observation 5f73682a-2e30-409a-a070-f8951adbf666 · outbound

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

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Vid2sim: Generalizable, video-based reconstruction of appearance, geometry and physics for mesh-free simulation

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-05T18:15:17.497796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:09.116771Z digest=sha256:e18de258540f5721144c6092c26cb798809bf995c2581b6fa084886f7cbfc1d7

Observation c9ce814f-e447-4f02-8573-ed68ca605cbd · outbound

This paper cites UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 7

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no resolver link, observed 2026-08-05T18:15:09.214089Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T18:15:09.214089Z digest=sha256:a065e3bab015e628e493cf6c7ac43b0890cbdbb0662bb4eecec09e1d51dc5a3e

Observation 383c5711-5604-4b7c-a1fd-f59d57de9af6 · outbound

This paper cites Objaverse: A Universe of Annotated 3D Objects.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Objaverse: A Universe of Annotated 3D Objects

Reference 8

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no resolver link, observed 2026-08-05T18:15:09.282846Z

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source=pdf_text observed=2026-08-05T18:15:09.282846Z digest=sha256:87a649518800e8424951151b1299ff8d1dcc0f3a27c030cb17caeed523f01ec3

Observation 46de6ac1-6169-49da-b2a9-beb58c6b03ca · outbound

This paper cites Diffusion models beat gans on image synthesis.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Diffusion models beat gans on image synthesis

Reference 9

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source=pdf_text observed=2026-08-05T18:15:09.343486Z digest=sha256:fcfefb0059ee31930a5a4097e530da66898cc5d7ecbbe90cbe1d167c52e719ab

Observation 03967b36-9aa5-4f3f-bf81-8b0faf061cdc · outbound

This paper cites Pie-nerf: Physics-based interactive elastodynamics with nerf, 2023.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Pie-nerf: Physics-based interactive elastodynamics with nerf, 2023

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-05T18:15:17.363197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:09.398579Z digest=sha256:f189988f9e09512da01c1e772870f718360474851152d2dd734ab5af7bb00dbd

Observation 75477386-2284-4c6b-8e97-890fb43d478f · outbound

This paper cites Sama: Material-aware 3d selection and segmentation.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Sama: Material-aware 3d selection and segmentation

Reference 11

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source=pdf_text observed=2026-08-05T18:15:09.486578Z digest=sha256:e8850a8ba4ddde3872e396c7c803c280f03e0f2a3869cb61e3f0d46db56220ee

Observation 3365d4b9-a137-4a96-9dec-a6e0495e797c · outbound

This paper cites Physically Compatible 3D Object Modeling from a Single Image.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Physically Compatible 3D Object Modeling from a Single Image

Reference 12

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metadata mismatch
local_arxiv, observed 2026-08-05T18:15:13.917006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:09.581337Z digest=sha256:cec4a4e85764f7da00ba4b72ea5d50e646b00ac438b37183484c3c29cc2b37f5

Observation f78edd3a-e5ec-4925-80fe-945628e6e637 · outbound

This paper cites AutoVFX: Physically Realistic Video Editing from Natural Language Instructions.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels AutoVFX: Physically Realistic Video Editing from Natural Language Instructions

Reference 13

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no resolver link, observed 2026-08-05T18:15:09.674260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:15:09.674260Z digest=sha256:618265147cb11b4ffd72b80ec888a8b84fec3729bf11be23ed98485742578669

Observation ef38da71-f0fd-42e8-a48c-d34e4fbbaa7c · outbound

This paper cites DreamPhysics: Learning Physics-Based 3D Dynamics with Video Diffusion Priors.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels DreamPhysics: Learning Physics-Based 3D Dynamics with Video Diffusion Priors

Reference 14

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no resolver link, observed 2026-08-05T18:15:09.784027Z

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source=pdf_text observed=2026-08-05T18:15:09.784027Z digest=sha256:c7fcc64ead49984e60c013034f4b56b5308589e1de0a94c0498f05977781c4b3

Observation 4381fd08-5353-43c5-b1b2-596c847077e6 · outbound

This paper cites gradsim: Differentiable simulation for system identification and visuomotor control.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels gradsim: Differentiable simulation for system identification and visuomotor control

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-05T18:15:17.241562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:09.837710Z digest=sha256:7036b2586d35a0670dada01766bc4a7bef3b9d1055dbe06a68e3862e79949874

Observation 519fa558-bd1a-49b3-a08e-32b9ce0aec3f · outbound

This paper cites PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos

Reference 16

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source=pdf_text observed=2026-08-05T18:15:09.892149Z digest=sha256:8f4d46e1360bc6f2cfd569aafa0a0b35fb61313e5452cc1572f46f39d44fb6d1

Observation 6bdaebb8-e1fc-442e-bb2a-6547a743cfca · outbound

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

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Cotracker: It is better to track together

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-05T18:15:17.120510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:09.952278Z digest=sha256:0ae2392ba286e271100d974f240beac0e04b5d19f7930d03307ddfeb3d910ff7

Observation cb5f6528-05f6-4d30-8016-7466a1c5301b · outbound

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

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels 3d gaussian splatting for real-time radiance field rendering

Reference 18

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no resolver link, observed 2026-08-05T18:15:10.001988Z

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source=pdf_text observed=2026-08-05T18:15:10.001988Z digest=sha256:39d9c777746f452bfecf4533baaa1e0bcb08fac2fa5b2a5f4155dca7ae922859

Observation bfefc15f-3d9c-43c3-92c9-7fe5d393e9a8 · outbound

This paper cites Lerf: Language embedded radiance fields.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Lerf: Language embedded radiance fields

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-05T18:15:16.914600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:10.090679Z digest=sha256:3d1ff6a13380e477eaa4def2e74d5a9976deccc9d2b3c47e6b627aade54cc424

Observation 5c0c4f65-059b-4f72-85f2-3a36fd5aceb3 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Adam: A Method for Stochastic Optimization

Reference 20

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no resolver link, observed 2026-08-05T18:15:10.171686Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:15:10.171686Z digest=sha256:edbece1ae60239a94efecfe082548c1fc8e5a5f13a90e484cd208d5441c808f2

Observation b29375ce-fc50-4217-82f6-ad735d04b800 · outbound

This paper cites Decomposing nerf for editing via feature field distillation.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Decomposing nerf for editing via feature field distillation

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-05T18:15:16.752625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:10.242686Z digest=sha256:8c29cc45c9fef641d1efc4400cc28238bb4464ed1d71cd6ca6bfda9015f31c05

Observation 5d644dd7-f3eb-4088-9a08-0a83799bfbb1 · outbound

This paper cites Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 22

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source=pdf_text observed=2026-08-05T18:15:10.366811Z digest=sha256:c5e37ab1a1250636ccbdef432803ed2961eb2f0ddce42a8ea14b2428f6e1c888

Observation 618b13d4-2544-49e6-93c4-bc1daed28dd9 · outbound

This paper cites PAC-neRF: Physics augmented continuum neural radiance fields for geometry-agnostic system identification.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels PAC-neRF: Physics augmented continuum neural radiance fields for geometry-agnostic system identification

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-05T18:15:16.595731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:10.445320Z digest=sha256:70fb505933e0a012e66ff1775116d085d27b8b0c2bc7049d3d30689b71a629f8

Observation 0f4e8603-b0af-4325-a4f7-39ea0b73fc28 · outbound

This paper cites Generative image dynamics.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Generative image dynamics

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-05T18:15:16.488609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:10.540826Z digest=sha256:4382bcb9a42c4e075e5914448d0b84633860f7ddcbc6ab1f3a242181b7ab874b

Observation b02d42e8-9b50-4e53-bbf8-a112c08f16d2 · outbound

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

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Wonderplay: Dynamic 3d scene generation from a single image and actions

Reference 25

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source=pdf_text observed=2026-08-05T18:15:10.715529Z digest=sha256:4cb38a574775c6b60761342346efece54f613843e7ef2961642aead23f5d49af

Observation 81b8b98a-2a47-4913-9d89-9edb38477aaf · outbound

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

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels OmniphysGS: 3d constitutive gaussians for general physics-based dynamics generation

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-05T18:15:16.381530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:10.844024Z digest=sha256:86482b19c9f42937b75a864a3b11c3e8839e0dd3e62c4b58b37040c523222fd6

Observation df97d9dc-8563-4fa6-82f5-51d475d3de4b · outbound

This paper cites Learning neural constitutive laws from motion observations for generalizable pde dynamics.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Learning neural constitutive laws from motion observations for generalizable pde dynamics

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:15:16.212530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:10.959883Z digest=sha256:86d01f6d48626c35cb47cf3bfe6de834677959b99782ff0fc4bacd4f7b2c8e0f

Observation 88d40c67-3bd2-42be-b7ac-706a8e757791 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Nerf: Representing scenes as neural radiance fields for view synthesis

Reference 28

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no resolver link, observed 2026-08-05T18:15:11.045418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:15:11.045418Z digest=sha256:c78eac90d7dac1dcecf80e99f9fb8e2cdc6f4134c49966da647f36dd1012a109

Observation a5cdd262-91d3-4b49-9bb1-ae3c7147c1ba · outbound

This paper cites UniPhy: Learning a Unified Constitutive Model for Inverse Physics Simulation.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels UniPhy: Learning a Unified Constitutive Model for Inverse Physics Simulation

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:15:13.579546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:11.184267Z digest=sha256:a796b916cc1f7b6c41fd40c84d496b291814694e9a1184615d4f9bc2cf279ea2

Observation dc8108bc-e90a-4315-a3d0-3a5005cea3d0 · outbound

This paper cites Genie 2: A large-scale foundation world model.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Genie 2: A large-scale foundation world model

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:15:16.054602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:11.259873Z digest=sha256:0d0463e29df4a41610e49e47dedd8e33309274eab1d41c313990d5873649eaba

Observation 33a8ba12-7dd5-4184-82c6-b26b2b5b0295 · outbound

This paper cites D-NeRF: Neural Radiance Fields for Dynamic Scenes.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels D-NeRF: Neural Radiance Fields for Dynamic Scenes

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:15:15.928469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:11.381267Z digest=sha256:df952b2ca63b7182b0d4786178218213c882cd6c2c4ad0dd44beec8740759e42

Observation 441d0363-f962-4a2e-89e6-ea7a28016c9c · outbound

This paper cites Feature Splatting: Language-Driven Physics-Based Scene Synthesis and Editing.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Feature Splatting: Language-Driven Physics-Based Scene Synthesis and Editing

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:15:11.452467Z digest=sha256:1e8402f6ea9c0ad8f4e89c5a236003b12ac86e2ec5f45ef8128ae9a8dccecf7b

Observation 19b09e8e-ceda-4c19-a5c9-82d7ec715e64 · outbound

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

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Learning transferable visual models from natural language supervision

Reference 33

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:15:11.573476Z digest=sha256:930c84a61bc3d1c9b50ff786d99293c199df5de76e6aa31a617eafdba664bf9c

Observation 2da3415b-8ed1-4de6-969b-e458040cd91d · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels U-net: Convolutional networks for biomedical image segmentation

Reference 34

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:15:11.713015Z digest=sha256:707e5eda04e9578e8c3df00c7c0059761ba9c9fbca2344d64144dcbaa580b125

Observation d87f4529-53f9-48b0-8549-5980736d28a0 · outbound

This paper cites Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:15:11.839540Z digest=sha256:b480e7a343836091acf550969a14fd5ce972e01c0ef398731d910985a9e82f74

Observation 1fb86c6c-2d89-4573-ba80-84643525b54f · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Gemini: A Family of Highly Capable Multimodal Models

Reference 36

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no resolver link, observed 2026-08-05T18:15:11.967465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:15:11.967465Z digest=sha256:3dac893a5c675d5dc7debb53941703f4845512149d142e518b00289bbac48d8d

Observation 4b685355-3f70-4e08-bc5c-e59149bde3ea · outbound

This paper cites Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training

Reference 37

Resolution
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no resolver link, observed 2026-08-05T18:15:12.044652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:15:12.044652Z digest=sha256:dc4e9938057405e87898da4db5ae8070b881644fe7c0cca5de594e7cb1cd344c

Observation c2ff2ff9-3aae-43ab-9f74-8a0c1345965f · outbound

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

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Physctrl: Generative physics for controllable and physics-grounded video generation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:15:15.785373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:12.188619Z digest=sha256:14881e806cce301f34a11ec787a76ce3113242d447b46fa4a6d1437075ffd693

Observation ecc816dc-bca3-4d80-8883-613e30059bff · outbound

This paper cites Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:15:15.616709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:12.267781Z digest=sha256:4e76715eff86496d72c01a5a28a1e6bf6a7599ded5458173cff1c13d54ce50a6

Observation 4f46597c-9a6a-4345-8ff7-fe9385852b57 · outbound

This paper cites Video2game: Real-time, interactive, realistic and browser-compatible environment from a single video, 2024.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Video2game: Real-time, interactive, realistic and browser-compatible environment from a single video, 2024

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:15:15.408605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:12.423772Z digest=sha256:d34edfd8510decd2fac856aafd539cdd04285b6dfd6df139113c720958664e81

Observation d6c4ee13-d26b-4938-a03a-44c652c1fd5f · outbound

This paper cites PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T18:15:12.517860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:15:12.517860Z digest=sha256:85fad6af738c4fa195d3652f228148b4c5f30c283e0f14f2044f9bcbcb42ce59

Observation 464d0b2b-b791-4d36-927a-050ebf0dd060 · outbound

This paper cites Physical property understanding from language-embedded feature fields.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Physical property understanding from language-embedded feature fields

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:15:15.233636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:12.627436Z digest=sha256:f2b9556d1c9e5a3d5dad9f47b06c0e80a94f6fab0e746af3b7445bda284b442f

Observation 23498d53-b7c5-4c7a-b6c1-6af91f39ba01 · outbound

This paper cites Particle-grid neural dynamics for learning deformable object models from rgb-d videos.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Particle-grid neural dynamics for learning deformable object models from rgb-d videos

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T18:15:12.736258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:15:12.736258Z digest=sha256:fcd2822ed5d631056917f7a66ca1feeb4b93005dd28b74638098857f7f4be8b4

Observation f3dbb34b-7600-489a-99b3-d32ae1335bda · outbound

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

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Feng, Changxi Zheng, Noah Snavely, Jiajun Wu, and William T

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T18:15:12.850004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:15:12.850004Z digest=sha256:c199449cc6a2326840e271d8987c5b870d941516c46fff144a4a1d1d8823d3d2

Observation 7e05992c-8649-44c2-8fdb-3b36b39cd070 · outbound

This paper cites tree", “rubber toy.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels tree", “rubber toy

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:15:15.043933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:12.935903Z digest=sha256:ebeba562393c4263898d2f595850d75e36f14809c8d3ef257d0cd2831e3e2ea1

Observation 7270c63b-8bb8-4db8-908f-7b7c2aa4234e · outbound

This paper cites Specifically, ur VLM actor proposes segmentation queries based on a set of mutli-view images of the object as shown in Fig.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Specifically, ur VLM actor proposes segmentation queries based on a set of mutli-view images of the object as shown in Fig

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:15:14.867267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:12.990393Z digest=sha256:406187d52364e91b2548e53347e268baa59934890aef6566990d4266013f59dc

Observation eef74500-1dab-4712-a7bc-2e45c164260c · outbound

This paper cites pot", "trunk.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels pot", "trunk

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:15:14.672481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:13.098739Z digest=sha256:6cec86ad6fa7a4dbc31f432f89aec8a2aff2ecccd03b98d6c80c526149d555c4

Observation 50898d4b-47bc-47c1-9d19-7375a0b6e70e · outbound

This paper cites pot,leaves.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels pot,leaves

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:15:14.460614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:13.169216Z digest=sha256:cb58d3cb4f7b945087cc3540419e0dd790d0ef610f27bcfd8deb3269f2118667

Observation 0bdbb33d-ef26-41f5-86de-89164d804b6a · outbound

This paper cites tree swaying in the wind.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels tree swaying in the wind

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:15:14.278396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T18:15:13.237903Z digest=sha256:b35b5a11207d40fddb23f42ad8e13306855e6b35e823e6f46dd7937673e8f058

Observation a0db4ad1-50d6-4366-9084-c1c88bc5c71c · outbound

This paper cites Decomposing NeRF for Editing via Feature Field Distillation.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Decomposing NeRF for Editing via Feature Field Distillation

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-05T18:15:10.306847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:15:10.306847Z digest=sha256:a97f38397a394f540e146f69e2da49628229975caf17bc366989c85322d1ece7

Pith citing papers

Observation d6cb749e-3010-47e9-a060-de65cc7a18c4 · inbound

Physically Interpretable World Models via Weakly Supervised Representation Learning cites this paper.

Physically Interpretable World Models via Weakly Supervised Representation Learning Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:02:41.416741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-23T07:00:46.917344Z digest=sha256:d4ed227c1b4875330a016f921de8d37f8b52bf709faca659047d62f5e713f739

Observation f6a430d9-8e30-4dba-9c97-14ba797bbb6b · inbound

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

PhysChoreo: Physics-Controllable Video Generation with Part-Aware Semantic Grounding Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T20:16:11.357624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:16:11.357624Z digest=sha256:81c94d8bbc1de7c74842034818de213461836db5e7ce85ef8cdb9b926c38a9c2

Observation 4f12e51d-5815-4b17-b13d-dc5ff3d6f036 · inbound

VDAWorld: World Modelling via VLM-Directed Abstraction and Simulation cites this paper.

VDAWorld: World Modelling via VLM-Directed Abstraction and Simulation Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T17:01:21.264449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:01:21.264449Z digest=sha256:37fa4d766cd750419ab513aa206c5d799c08644b38a56b4ab1de552dede51e29

Observation ed360e5f-e588-484c-9b9e-9ebc3e6d9dc2 · inbound

PerpetualWonder: Long-Horizon Action-Conditioned 4D Scene Generation cites this paper.

PerpetualWonder: Long-Horizon Action-Conditioned 4D Scene Generation Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-21T13:30:12.690482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T13:26:57.909496Z digest=sha256:73f688dcff3be9acf39a39aebaa764ae74c7bda8b5d4aa001a0ecdd4a02663bf

Observation 95286065-bf71-4261-8edf-ccda943e8126 · inbound

PhysInOne: Visual Physics Learning and Reasoning in One Suite cites this paper.

PhysInOne: Visual Physics Learning and Reasoning in One Suite Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:25:59.522773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:39:48.066744Z digest=sha256:0177dedcb5211b58dc3228f772440864eda7b46fcc04871f88632246bbda532e

Observation a0135839-53d1-49e6-832d-71e19503eaef · inbound

Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective cites this paper.

Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels

Reference 197

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:20:25.988130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T13:13:42.052386Z digest=sha256:a808f3b2b32d7a48bc4ea6c17284e16b8f4b3d019a7e8ada93140de40b786fd3

Observation 9e76854b-ee1d-48aa-90e1-abb7b94d2d44 · inbound

3D Generation for Embodied AI and Robotic Simulation: A Survey cites this paper.

3D Generation for Embodied AI and Robotic Simulation: A Survey Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:01:25.445234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T13:16:44.508344Z digest=sha256:d048867a1d9be6ca85aab070cd23235fc52386eb056e998955a40ad62d677b45

Observation ea7372a2-5ddf-4e9c-8d2e-5d5c0ddeec57 · inbound

3D Generation for Embodied AI and Robotic Simulation: A Survey cites this paper.

3D Generation for Embodied AI and Robotic Simulation: A Survey Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:01:14.094915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T03:31:05.311070Z digest=sha256:029ba6b446c21f4bc28610371b620fe0e45c838ac572e3667c8faae145a8fd9a

Observation 0be10d0f-6fb6-4966-80a4-4fbdf2ad975b · inbound

3D Generation for Embodied AI and Robotic Simulation: A Survey cites this paper.

3D Generation for Embodied AI and Robotic Simulation: A Survey Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:05:58.682261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-11T01:56:24.510913Z digest=sha256:a93c41a19dd5b8aaaab58bc507f421c463c81af9910473bfec5f207839b58e2e

Observation 779245ea-8d26-4ab2-9cff-01bc90b1a93b · inbound

Automatically Improving Simulation Physics for Articulated Objects cites this paper.

Automatically Improving Simulation Physics for Articulated Objects Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-20T09:03:10.570274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-20T09:00:11.228181Z digest=sha256:455603d64ed8c3e1ac7a546b2d69630c414f71d626c37e3098d686204075dc12

Observation 303e2892-de39-4d4b-856d-2702155d8524 · inbound

PhysX-Omni: Unified Simulation-Ready Physical 3D Generation for Rigid, Deformable, and Articulated Objects cites this paper.

PhysX-Omni: Unified Simulation-Ready Physical 3D Generation for Rigid, Deformable, and Articulated Objects Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:41:21.825147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-22T09:39:48.573379Z digest=sha256:155986f6b97539f9243a6c8511f3616ecb49ef9e25787ded433081bf1dac48ea

Observation 85521974-da60-457e-89b5-2afd1ee5ffd6 · inbound

NeuROK: Generative 4D Neural Object Kinematics cites this paper.

NeuROK: Generative 4D Neural Object Kinematics Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:23:15.027652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T08:20:39.824430Z digest=sha256:daf9bda37c28cbd008b65b52193efa1a40ca39f34a6b3dbf0ddb47094d1b0f6f

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

UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching cites this paper.

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

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:46:46.266841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-28T06:40:47.108140Z digest=sha256:d2a8312d137da0f1541427de8e8882210e9c0d862fecf58ea9b16fdead7d5f06

Observation 1fc046d1-a75c-4729-bb5a-dbed1c568c6d · inbound

Vision Meets WiFi: Physics-Grounded Estimation of Volumetric Mechanical Properties cites this paper.

Vision Meets WiFi: Physics-Grounded Estimation of Volumetric Mechanical Properties Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T00:25:27.556183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:25:27.556183Z digest=sha256:276a08d158c117545208ec8a481c2be2972f4a1c0a6d82cc69c2eb9e35cbdd4b