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Paper Citation Record · LEDGER

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials

As of 16 August 2026, this Paper Citation Record lists 100 of 101 outbound references and 6 inbound Pith citation observations for arXiv:2504.12684.

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

pith.paper-citation-record.v1
2504.12684 v3

Coverage vector

measured 100 of 101 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:28:24.599183Z

measured 106 of 106 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:25:27.564031Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T09:41:21.857693Z

Reference resolution

100 of 101 outbound references displayed

  • verified exact1
  • verified fuzzy41
  • unresolved58
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 53773d8d-c7eb-48d6-b7f6-51e2687a6838 · outbound

This paper cites 3DCoMPaT200: Language-grounded compositional understanding of parts and materials of 3D shapes.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials 3DCoMPaT200: Language-grounded compositional understanding of parts and materials of 3D shapes

Reference 1

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source=pdf_text observed=2026-08-16T12:28:22.771030Z digest=sha256:acd8e4ed55e46fff618b8fb92fa2dfcfadf0d85848800e20941b9dce8bff2637

Observation 9f87267b-bb26-4dbb-8d59-9b70fe8e1e3c · outbound

This paper cites Edify 3D: Scalable High-Quality 3D Asset Generation.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Edify 3D: Scalable High-Quality 3D Asset Generation

Reference 2

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source=pdf_text observed=2026-08-16T12:28:22.846421Z digest=sha256:bf0f601b75548d0c4b9362ac0863c6c51aa00ec0d2f1572bfe17b653de221cae

Observation 071f5c6c-a812-4c9f-8172-195befc6d505 · outbound

This paper cites VideoPhy: Evaluating Physical Commonsense for Video Generation.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials VideoPhy: Evaluating Physical Commonsense for Video Generation

Reference 3

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source=pdf_text observed=2026-08-16T12:28:22.859854Z digest=sha256:5f0df9c3544d004596326ffe76f9b778a033f0585e37e5a800e7118ddc3241e5

Observation 31c1d5ad-db6c-4c2b-b4b0-46d3a4764b5f · outbound

This paper cites Vega FEM Library, 2012.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Vega FEM Library, 2012

Reference 4

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source=pdf_text observed=2026-08-16T12:28:22.865110Z digest=sha256:7c7cab9192dd32683c54181da6496e5afdaf6a1ee312a35f966b68c2de6ebfa7

Observation db1e32bb-d49f-45a2-9080-eeff94bd300b · outbound

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

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 5

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source=pdf_text observed=2026-08-16T12:28:22.869375Z digest=sha256:a82e5cc2b6aed71ddc5a5f38bd7ecb88b168212765da9e6b8a77c01998325830

Observation 618e3810-2930-43ce-becc-24ad943ae085 · outbound

This paper cites NeuMA: Neural material adaptor for visual grounding of intrinsic dynamics.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials NeuMA: Neural material adaptor for visual grounding of intrinsic dynamics

Reference 6

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source=pdf_text observed=2026-08-16T12:28:22.874405Z digest=sha256:f039979e97fb4589fe8e1bebf4aa20f0432cf2468a09f6279b0d7361d1f047ad

Observation c3b17ee1-9837-411a-84f5-82d5b35980a2 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials ShapeNet: An Information-Rich 3D Model Repository

Reference 7

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source=pdf_text observed=2026-08-16T12:28:22.879592Z digest=sha256:d3001261060771dfe9f6d30ba12dbdbfbe49802f8b18f867b03b9d37941735bc

Observation a12c322b-01d2-44ca-8515-0ce9454c812c · outbound

This paper cites Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models

Reference 8

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source=pdf_text observed=2026-08-16T12:28:22.884161Z digest=sha256:7773219de9e77b6bffcf115fc37951a99cfa5c619e9eb37568b0c5b4404d16d2

Observation b2017240-7d0d-4001-a0d8-a9788d50a481 · outbound

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

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials PhysGen3D: Crafting a Miniature Interactive World from a Single Image

Reference 9

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source=pdf_text observed=2026-08-16T12:28:22.888840Z digest=sha256:aee1bfc3e526d53ac795fcd0c7b5c2b37cc14358899ff31a8eab2c91cabcb404

Observation ed6653e1-0181-4693-9389-6b2cfeeac16f · outbound

This paper cites MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers

Reference 10

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source=pdf_text observed=2026-08-16T12:28:22.893902Z digest=sha256:0ca514ae1c56dca79fae75604223f82d7fdccbab2443d62d8cc39ebf94450e10

Observation 3a666748-891b-4186-96ec-23a0b2b3698c · outbound

This paper cites MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization

Reference 11

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source=pdf_text observed=2026-08-16T12:28:22.898332Z digest=sha256:7eba8566f865e848524af3a3a43fa12f6e09772a1f252d8a8e20a3a5a173bca7

Observation 61e8061d-3a8d-49cb-94aa-d07cf67180ff · outbound

This paper cites Atlas3D: Physically constrained self-supporting text-to-3D for simulation and fabrication.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Atlas3D: Physically constrained self-supporting text-to-3D for simulation and fabrication

Reference 12

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source=pdf_text observed=2026-08-16T12:28:22.902076Z digest=sha256:9937971561e18528b9e9737d0538372f87d3259e0bf5ed21ba5c665cfac735ee

Observation 477af970-a64b-4d51-8114-23b27149757a · outbound

This paper cites 3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials 3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion

Reference 13

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source=pdf_text observed=2026-08-16T12:28:22.905815Z digest=sha256:9ddb62fb799f344b317d4467fa0fc34c05ef808ea74b4c4a983de104d0066461

Observation 68a1ac8d-41e5-4ec7-be29-0ffdfc09d509 · outbound

This paper cites Learning implicit fields for generative shape modeling.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Learning implicit fields for generative shape modeling

Reference 14

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source=pdf_text observed=2026-08-16T12:28:22.931748Z digest=sha256:c63b71c540f2be4dedcb1c4c1a584808a561740666433af1e519d8e401bdd7ba

Observation f2fea69d-288a-49a5-a917-4c5cb64bfdc5 · outbound

This paper cites ABO: Dataset and benchmarks for real-world 3D object understanding.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials ABO: Dataset and benchmarks for real-world 3D object understanding

Reference 15

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source=pdf_text observed=2026-08-16T12:28:22.977682Z digest=sha256:f8cd1d23088b22fa3497db184de6c26a4f3bdd765fd7eb41dc8ac7060a077034

Observation 0b69cf94-8644-4687-9584-0e237a60bd4b · outbound

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

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Objaverse: A universe of annotated 3D objects

Reference 16

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source=pdf_text observed=2026-08-16T12:28:23.045948Z digest=sha256:34f46edf063bbf350d43bc3bd69623963155f9f22db5f0cec17e55ede1dc7f5c

Observation 2960e233-92dd-4052-be41-afa8758b33fa · outbound

This paper cites Google Scanned Objects: A high-quality dataset of 3D scanned household items.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Google Scanned Objects: A high-quality dataset of 3D scanned household items

Reference 17

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source=pdf_text observed=2026-08-16T12:28:23.138750Z digest=sha256:b815e8e37723229e6d632329bc43c712ec2f56d74480578fc99ae3119fa36c02

Observation 14a3a940-7fa4-409c-9b52-a9c4fb0b7e13 · outbound

This paper cites Animating gases with hybrid meshes.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Animating gases with hybrid meshes

Reference 18

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source=pdf_text observed=2026-08-16T12:28:23.142453Z digest=sha256:cf0da8cd78fb86fa02c070d898736cbb9f4c97a1c5f3e6152c7f42b94a3958f5

Observation 3ef0db13-2a2e-491e-8e1b-e4226489f0e8 · outbound

This paper cites PartRM: Modeling part-level dynamics with large cross-state reconstruction model.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials PartRM: Modeling part-level dynamics with large cross-state reconstruction model

Reference 19

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source=pdf_text observed=2026-08-16T12:28:23.147271Z digest=sha256:ea1a7353a62fcda3171f280da14eba16c5eb922dc2e4029e6005e8684c11870b

Observation f1efd192-59b4-471e-9820-3f793f016c29 · outbound

This paper cites Im2SurfTex: Surface texture generation via neural backprojection of multi-view images.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Im2SurfTex: Surface texture generation via neural backprojection of multi-view images

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.150872Z digest=sha256:de7f3c767a0a9414444a750eca08855d203c67ee78bae212421951722de95b4a

Observation 52ef4aa6-9bb9-43b1-becd-42fe2692d534 · outbound

This paper cites Physically compatible 3D object modeling from a single image.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Physically compatible 3D object modeling from a single image

Reference 21

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source=pdf_text observed=2026-08-16T12:28:23.153943Z digest=sha256:63626c649c314e97b617b2a41cee41b9d9de7a81b3a78f967375a385d4563392

Observation 9cc39562-8692-4e0f-8444-1dddb32dd971 · outbound

This paper cites LRM: Large reconstruction model for single image to 3D.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials LRM: Large reconstruction model for single image to 3D

Reference 22

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source=pdf_text observed=2026-08-16T12:28:23.157347Z digest=sha256:f98b85960d7bedf91e5c0e4c2bd2a6b4f6d1e52803b8ec4fc9962f4e04dac244

Observation 13632aee-0d94-4f5b-8261-4d6214b603d8 · outbound

This paper cites Neural wavelet-domain diffusion for 3D shape generation, inversion, and manipulation.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Neural wavelet-domain diffusion for 3D shape generation, inversion, and manipulation

Reference 23

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source=pdf_text observed=2026-08-16T12:28:23.160984Z digest=sha256:e1e5010b93e3dd87afb45b3e083f666e987718eaabf18dfbd38039b018f80b9e

Observation db3a0c0d-082c-443a-b65d-5011abaa4df6 · outbound

This paper cites A moving least squares material point method with displacement discontinuity and two-way rigid body coupling.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials A moving least squares material point method with displacement discontinuity and two-way rigid body coupling

Reference 24

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source=pdf_text observed=2026-08-16T12:28:23.164391Z digest=sha256:8c7f8c2aeb479fc6e22fc6d64575250af5d845f5cae0326c229177aecaeb2688

Observation 6d0e22f0-780a-4903-98c7-e814ea51294c · outbound

This paper cites ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups

Reference 25

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source=pdf_text observed=2026-08-16T12:28:23.168281Z digest=sha256:827a725000672e74cf144aadea5e06669ddb4669d618eff384860bccd14b549b

Observation fb172a29-7e6b-4ec0-b4ba-ef01d90a5068 · outbound

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

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials The material point method for simulating continuum materials

Reference 26

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source=pdf_text observed=2026-08-16T12:28:23.173745Z digest=sha256:2602ef58e8a67c19c18e37e54725a46b0cfc167f7f67b95b2bae78099e9a3d4e

Observation 6f2e1732-f047-461e-86f2-5216faadb653 · outbound

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

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Shap-E: Generating Conditional 3D Implicit Functions

Reference 27

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source=pdf_text observed=2026-08-16T12:28:23.177635Z digest=sha256:f0a3bbd4483db767dc631eaee4ee66bffca5fe859d05c9c41c4a9f2f5ba9fbb0

Observation e62f00f6-5081-4536-ac77-7a38e4a19c60 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Elucidating the design space of diffusion-based generative models

Reference 28

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source=pdf_text observed=2026-08-16T12:28:23.227346Z digest=sha256:8185c84a598908a587b91d410b1485c55e713b74baebb126316631b135455060

Observation 2cea92ca-5913-4b43-9565-a7ef41e83e67 · outbound

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

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials 3D gaussian splatting for real-time radiance field rendering

Reference 29

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source=pdf_text observed=2026-08-16T12:28:23.309762Z digest=sha256:98de9167b65b157b129b6ea16217accfd9aa8e2e7efcabf21b325ecb6cc32f92

Observation 3b7d0061-4f98-4369-b6c6-8d710a207f12 · outbound

This paper cites Auto-encoding variational bayes.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Auto-encoding variational bayes

Reference 30

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source=pdf_text observed=2026-08-16T12:28:23.314480Z digest=sha256:e4be011d68f1d6309360e3075ebfde67c08d520767cfc2d29d2433ac249ccd44

Observation 6c838ad0-34c9-4842-b417-e0eea2863f92 · outbound

This paper cites Drucker-prager elastoplasticity for sand animation.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Drucker-prager elastoplasticity for sand animation

Reference 31

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source=pdf_text observed=2026-08-16T12:28:23.317837Z digest=sha256:a92b5f08c061c5f56622c28906e0bd1a535326c33fda1b5f6b0281865c6ef61c

Observation 17c4adb9-38f0-4e62-8529-75cf155776dc · outbound

This paper cites Vision-language model-based physical reasoning for robot liquid perception.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Vision-language model-based physical reasoning for robot liquid perception

Reference 32

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source=pdf_text observed=2026-08-16T12:28:23.321837Z digest=sha256:ed2c4b00ca196b1d38e55bf23c8030e977e89118c32355ce333471022536a316

Observation a6a88d4c-7140-4262-9f75-6c80bee8acd9 · outbound

This paper cites Modular primitives for high-performance differentiable rendering.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Modular primitives for high-performance differentiable rendering

Reference 33

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Observation 749abcd2-6f51-447f-a93e-0a395a3c7960 · outbound

This paper cites VividDream: Generating 3D Scene with Ambient Dynamics.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials VividDream: Generating 3D Scene with Ambient Dynamics

Reference 34

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Observation 7d98e751-20b3-47db-8ca1-3f6e828ca0bf · outbound

This paper cites 4K4DGen: Panoramic 4D Generation at 4K Resolution.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials 4K4DGen: Panoramic 4D Generation at 4K Resolution

Reference 35

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source=pdf_text observed=2026-08-16T12:28:23.335184Z digest=sha256:9f22a5a33ab0530d5bef59db6274b771247e35bf972a3488872859c1fcd3965b

Observation 45b125a2-173e-442a-b738-af7076f6be0f · outbound

This paper cites Advances in 3D Generation: A Survey.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Advances in 3D Generation: A Survey

Reference 36

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source=pdf_text observed=2026-08-16T12:28:23.340066Z digest=sha256:4d0bcb20f7f715ecce42f5e86f8c9274aa499f19f5403d422174213fc17fd392

Observation 76f29ba5-6ec7-4db9-97c4-ec5e75d6f08b · outbound

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

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials PAC-NeRF: Physics augmented continuum neural radiance fields for geometry-agnostic system identification

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.343990Z digest=sha256:eac2e8c8d41db69360ddbde4ad701ed16cfbad8c21e98bff58c16abb3379308d

Observation 4dd24a0a-211d-4c56-b008-5c5ba679acde · outbound

This paper cites NeuralFluid: Neural fluidic system design and control with differentiable simulation.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials NeuralFluid: Neural fluidic system design and control with differentiable simulation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:27.335156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.347640Z digest=sha256:57d30fd18fa5ed9ded419abb22df86d87281e65139e631d319085cc3d1501603

Observation 489d6bcf-196a-4943-9150-938d8aae3bde · outbound

This paper cites 3DCoMPaT: Composition of materials on parts of 3D things.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials 3DCoMPaT: Composition of materials on parts of 3D things

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:27.324904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.351559Z digest=sha256:236eafa1b5e5e33d2a97a714ff0557694d5805c3327f381e3aec85c1d823bb2a

Observation f5a229b4-8b66-4cc1-b8e1-d6660cb0b4f7 · outbound

This paper cites Diffusion4D: Fast spatial-temporal consistent 4D generation via video diffusion models.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Diffusion4D: Fast spatial-temporal consistent 4D generation via video diffusion models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:27.313572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.355168Z digest=sha256:46ebb6aef364701698ca71836c1d35e1f0aace1a5415a8992fb57b0d6984162c

Observation f192f935-09df-4dc5-b80e-90a84df89374 · outbound

This paper cites Magic3D: High-resolution text-to-3D content creation.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Magic3D: High-resolution text-to-3D content creation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:27.301535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.358781Z digest=sha256:a64a79374f1abc7ac773cea09f8dab59a2647112dcc3cd5ec67b5250dd82b9c7

Observation 388a9932-687d-4c4e-9be7-3519e8f6933b · outbound

This paper cites Learning material-aware local descrip- tors for 3D shapes.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Learning material-aware local descrip- tors for 3D shapes

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:27.289570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.362830Z digest=sha256:55671881689c3e9adda96fd55304a48d3b37ac8038638d9e7e566f9dd846ee1c

Observation 69de077d-6b47-4832-bae0-085803a8ea5c · outbound

This paper cites Phys4DGen: A physics- driven framework for controllable and efficient 4D content generation from a single image.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Phys4DGen: A physics- driven framework for controllable and efficient 4D content generation from a single image

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:23.366306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:23.366306Z digest=sha256:0d96a4410fdc25b75e7a759878cb0b95561d4cbe7d6fa836d2ac8a2ad4fe3e6e

Observation 81cf5049-d157-4339-b0f4-30566ecd7bbc · outbound

This paper cites Materialfusion: Enhancing inverse rendering with material diffusion priors.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Materialfusion: Enhancing inverse rendering with material diffusion priors

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:27.151851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.370294Z digest=sha256:c7ef0c3557304fd4db8f18198764e2aadc18c7c12c43c2c9c2729c81ef162971

Observation ae34be6f-ab2d-4302-8e52-1773587be5e2 · outbound

This paper cites RigAnything: Template-free autoregressive rigging for diverse 3D assets.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials RigAnything: Template-free autoregressive rigging for diverse 3D assets

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:27.142176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.373715Z digest=sha256:39e7e6e47c4d1690a02a5c3a1f2df0442ef17ba96ae7ed8b0a85a497a300eff1

Observation ea1cbc3a-3b1a-41a6-bc05-22e9eddf321d · outbound

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

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials PhysGen: Rigid-body physics-grounded image-to-video generation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:27.130411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.376641Z digest=sha256:824153b8e90a514f064dd81eab715414abf9c0d1f28ac67924e7f25b4005898f

Observation 989d8619-778d-4e91-ba4a-4256b6ff5122 · outbound

This paper cites Free4D: Tuning-free 4D scene generation with spatial-temporal consistency.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Free4D: Tuning-free 4D scene generation with spatial-temporal consistency

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:27.119364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.380370Z digest=sha256:96f657adce9947b97b462733ca3e1d9a284000ceb12e351042640f4134d39537

Observation 5681beb3-5cf0-4062-8b06-5d4cf247409a · outbound

This paper cites Unleashing the potential of multi-modal foundation models and video diffusion for 4D dynamic physical scene simulation.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Unleashing the potential of multi-modal foundation models and video diffusion for 4D dynamic physical scene simulation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:27.109019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.383858Z digest=sha256:c11ea59d104785b9e0ff28acd871c062e10e36974b40b402f8ee8a416c40b702

Observation 313832a9-3b01-4bbd-9da2-2b4b9abccf39 · outbound

This paper cites Marching cubes: A high resolution 3D surface construction algorithm.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Marching cubes: A high resolution 3D surface construction algorithm

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:27.098685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.387632Z digest=sha256:6f90a0197dd1169ae3c92b137b50ba278b5a80b5f4c4b008af267929dcd6eceb

Observation 0621c9cf-8e02-46c9-9e49-f01762ae0dd2 · outbound

This paper cites Find Any Part in 3D.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Find Any Part in 3D

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:23.391833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:23.391833Z digest=sha256:1376cf98a68e43cc76f51c4cc115b2a2b7bbbeec71fd9bacc680f96c12f39d06

Observation 70cdf755-51ac-45a1-a628-011c419ebd6f · outbound

This paper cites Occupancy networks: Learning 3D reconstruction in function space.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Occupancy networks: Learning 3D reconstruction in function space

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:27.088281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.395522Z digest=sha256:117907a069d6f8b7d1c05dae4dc19aa02d7ea3cefeae4a602d8166edcd6b88fa

Observation caa7156f-9a8c-4050-b500-a922091bb76d · outbound

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

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials NeRF: Representing scenes as neural radiance fields for view synthesis

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:23.401686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:23.401686Z digest=sha256:dd1c3445c9e7364f054b75ad23de2b21de5846d3e006d3136afd0b8402fd1e4c

Observation 4fd20c92-7403-4386-8ca3-4738d1d28a39 · outbound

This paper cites Particle-based fluid simulation for interactive applications.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Particle-based fluid simulation for interactive applications

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:26.966848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.470218Z digest=sha256:38fce6370b2736ec97e83ce5f3b7c71235ab703cb2102661a4e6972e8cc7a682

Observation 4cce2a8b-5099-4f64-9481-3afda933d868 · outbound

This paper cites Texture fields: Learning texture representations in function space.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Texture fields: Learning texture representations in function space

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:26.870470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.603386Z digest=sha256:e8c126533ba2ae6352bbf5c97efec87cba130f216f82bd079f1fdcc7a2d8edf9

Observation 200a1dba-a6e8-43b4-a094-3ed2c8ed86b2 · outbound

This paper cites GPT-4o System Card.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials GPT-4o System Card

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:23.682811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:23.682811Z digest=sha256:40d41d0d77bc53aa1ccfef49e30c7e5735d69176d3f3743f903193647854884d

Observation 4edd0020-7b4b-460e-acd6-0bc9e67734ca · outbound

This paper cites an unresolved cited work.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Unresolved cited work

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:23.687143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:23.687143Z digest=sha256:2cef3b84abd62999a8186fae4640e6b26399eb0438cbfa84b62f228dca581dc9

Observation 375ee62f-b3fb-4e11-9302-0540e73b1a44 · outbound

This paper cites DeepSDF: Learning continuous signed distance functions for shape representation.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials DeepSDF: Learning continuous signed distance functions for shape representation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:26.854282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.690999Z digest=sha256:eaf20b238b350a9c1b6be6f4429b8fa3a496d80c19da80cdc0e40b23429c5a91

Observation 464797d0-af56-4676-a55a-014b08129f28 · outbound

This paper cites GEM3D: Generative medial abstractions for 3D shape synthesis.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials GEM3D: Generative medial abstractions for 3D shape synthesis

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:26.843738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.695292Z digest=sha256:706e4e654f26a7de45fe8a2ae8c44c606b5fd7ce71541f6eed0afcd6a148a18e

Observation 34c05f52-a6e5-47ea-bfad-fa27dbdad6c3 · outbound

This paper cites Barron, and Ben Mildenhall.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Barron, and Ben Mildenhall

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:26.805592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.699035Z digest=sha256:42dd6172b08a7850dafd6b4208e397e8d309a63d022163a64af384934d1a739e

Observation a0214666-4fb8-48af-92f4-75a4e76742ba · outbound

This paper cites an unresolved cited work.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:28:26.625783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.703345Z digest=sha256:962347178d10065b1dd6a534492b4a1035c745648d52f700b5a72540cc46d56e

Observation 6adebb47-9a19-4f07-ad5d-503f8cb3c23a · outbound

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

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Learning transferable visual models from natural language supervision

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:23.707304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:23.707304Z digest=sha256:abcf456a135a35af7d63f5e3e0b28e289856758933a540ec676859bb0d2a1ae9

Observation 2903bef5-59d0-406b-8f12-edad0d1d4ea3 · outbound

This paper cites DreamGaussian4D: Generative 4D Gaussian Splatting.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials DreamGaussian4D: Generative 4D Gaussian Splatting

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:23.710842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:23.710842Z digest=sha256:d9f667d4cdd22d048c9c9d982500381eed1567a80e097e8b6617ebd1cab46530

Observation 591bf7c8-7317-41b1-b977-4bfc3c6ce8fb · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials High-resolution image synthesis with latent diffusion models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:23.714855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:23.714855Z digest=sha256:9009d2e3d0bc90fed54808de8e9a94d08c90106e7efa265fd5be33ce80f1a978

Observation 60627a9b-ab11-46be-a40f-266451afc74a · outbound

This paper cites Deep marching tetrahedra: a hybrid representation for high-resolution 3D shape synthesis.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Deep marching tetrahedra: a hybrid representation for high-resolution 3D shape synthesis

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:26.600494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.718895Z digest=sha256:5fea757dfedbacc23b122ad448bd3fbbbcb9988a39c85404b2dc6aeef87d5c50

Observation 04de4c59-2b5e-4c08-a9b9-4a513b656d34 · outbound

This paper cites Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:23.721933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:23.721933Z digest=sha256:e73237ff1229f6d4b7d14ad3520c0584b04e861e2fde8002ac1f1a58e1088c7c

Observation d7a799aa-aa73-4b18-a32a-b2d030f34ba9 · outbound

This paper cites Meta 3D AssetGen: Text-to-mesh generation with high-quality geometry, texture, and PBR materials.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Meta 3D AssetGen: Text-to-mesh generation with high-quality geometry, texture, and PBR materials

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:26.480080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.726667Z digest=sha256:09f4b91ebd2351a4ea8a598cdda3a88d68f74596fd176d65568db62e40957b12

Observation c61ba677-5628-44f2-a88b-550b03c36a99 · outbound

This paper cites FEM simulation of 3D deformable solids: a practitioner’s guide to theory, discretization and model reduction.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials FEM simulation of 3D deformable solids: a practitioner’s guide to theory, discretization and model reduction

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:26.310907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.730974Z digest=sha256:22322fd789413108f73cfc16a1ffa535c6182c128ae4167e73fa45ab31503421

Observation bae7cdbc-432a-4dc6-a42f-93bdaa2af9f0 · outbound

This paper cites 3DCoMPaT$^{++}$: An improved Large-scale 3D Vision Dataset for Compositional Recognition.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials 3DCoMPaT$^{++}$: An improved Large-scale 3D Vision Dataset for Compositional Recognition

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:23.735590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:23.735590Z digest=sha256:8e1538d6f651bb89979c4731f694cdc6110059fa5f5befccdf66150880c6c6a4

Observation af27e82d-0627-48a8-9c10-47c87901f9fc · outbound

This paper cites A particle method for history-dependent materials.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials A particle method for history-dependent materials

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:26.299565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.739593Z digest=sha256:9d599144aa5f3544afdbfc6d9b264746a2103c84cce13ea0c2c82b6fab3d2c66

Observation 54a66e19-63f6-46fa-afac-ba565cb44dac · outbound

This paper cites ARMO: Autoregressive Rigging for Multi-Category Objects.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials ARMO: Autoregressive Rigging for Multi-Category Objects

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:23.743459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:23.743459Z digest=sha256:829074544148e7f44f180fe65172947928a5fe6f0d60ce9abb2b338e26bc22a8

Observation aba0f5b9-146b-4fbd-b783-d95f261342b0 · outbound

This paper cites EG4D: Explicit generation of 4D object without score distillation.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials EG4D: Explicit generation of 4D object without score distillation

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:26.287780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.748249Z digest=sha256:b339c047239530014aee4254beb5971e4cd3da13c07112d3af185d791d21ae20

Observation c4413c67-57f3-4af6-bc11-06ae244906c9 · outbound

This paper cites DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:23.752238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:23.752238Z digest=sha256:1c3634dcdff3809690a72c22e656f84649687ea6858e29e1c5222ab2d56823b7

Observation 36b681ea-76a7-44e2-b277-60e0947ad043 · outbound

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

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials PhysMotion: Physics-Grounded Dynamics From a Single Image

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:23.828867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:23.828867Z digest=sha256:6c81f1300c91de0b4e0b8410836e2ee7125479a96daf6bfcedd871a34f59a913

Observation ae974438-2c43-46b3-a144-4e52fd259395 · outbound

This paper cites Mixed variational finite elements for implicit simulation of deformables.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Mixed variational finite elements for implicit simulation of deformables

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:26.277792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:23.907410Z digest=sha256:073b3f11db8d42960bbd987a48f2734a48e3ede6299f8085b8a42d7bb963b8cc

Observation b368092d-883e-42a4-b429-4927af1cbfcd · outbound

This paper cites Lagrangian fluid simulation with continuous convolutions.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Lagrangian fluid simulation with continuous convolutions

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:26.267845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:24.017912Z digest=sha256:7b1df5c0383a9e1c27036ed95b6ceae9522aa22095a60854b2f9f38bc7c20abb

Observation caf0c4f2-7d65-48c2-9934-536fd36528e3 · outbound

This paper cites Attention is all you need.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Attention is all you need

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:24.066482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:24.066482Z digest=sha256:bd3d11d3b89e2f017f251ada31ac1b50e851da69e19273d0e5ca52c4194235e2

Observation 80126550-d243-4e9b-9753-c8e6d7d68662 · outbound

This paper cites MatSynth: A modern PBR materials dataset.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials MatSynth: A modern PBR materials dataset

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:26.251130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:24.070426Z digest=sha256:10de061bddb3458114ccdb03f565c6642bd370cef3e914437a2e771dfd938d50

Observation 76100443-73bf-480d-8889-7f01d3a9a26f · outbound

This paper cites A Material Point Method for Elastoplasticity with Ductile Fracture and Frictional Contact.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials A Material Point Method for Elastoplasticity with Ductile Fracture and Frictional Contact

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:26.240478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:24.074163Z digest=sha256:758951f6259883b886ea425a9ae1436482127cb99dc2ce72f0cdcb810d26b751

Observation 064e66cf-2d63-4e3f-b306-5b99f8f4c61c · outbound

This paper cites Simulation and visualization of ductile fracture with the material point method.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Simulation and visualization of ductile fracture with the material point method

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:26.195881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:24.077477Z digest=sha256:eb128a4ac48e0bc03332c96b7ed26125878574ade60efec6a858f53788ead091

Observation 606f6afe-636e-44d7-ab16-f4c96464bc8e · outbound

This paper cites DiffuseBot: Breeding soft robots with physics-augmented generative diffusion models.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials DiffuseBot: Breeding soft robots with physics-augmented generative diffusion models

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:26.015128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:24.080631Z digest=sha256:32d87cd9add67e31a659bd3c21ce41d703e17b60570e3be1105c6f221b4bac19

Observation 3e2c12eb-268b-4d6e-bcbc-f1b4ba1957ab · outbound

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

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Diffusion Models in 3D Vision: A Survey

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:24.086107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:24.086107Z digest=sha256:cc785edd8e93dc75a3463e0b0de5c447fbf59125e68bdac7a9ccc79f773f17a3

Observation 0035c646-563b-46c3-8549-be367291f1e0 · outbound

This paper cites Controlling space and time with diffusion models.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Controlling space and time with diffusion models

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:25.997681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:24.170942Z digest=sha256:a7b25837648996540020653b7d43d52837ebde8c3000b9e2a100f8c9981b95e4

Observation b68ea800-65c3-4eff-b4b3-efd225398ce3 · outbound

This paper cites Some results for generalized neo-hookean elastic materials.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Some results for generalized neo-hookean elastic materials

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:25.987441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:24.249093Z digest=sha256:52e0b04053013bd1c72e5692383a48e0cbf4ebc9163afc4b0f64fe0837c986b1

Observation da7772af-af55-411b-b4b1-2c6705cc8704 · outbound

This paper cites CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:24.287992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:24.287992Z digest=sha256:63ddf4b40af517904378e3e4b2a4ec4bb5534fcaee145b57e18d5fb507357486

Observation 184cf084-4da9-4cc4-a35e-ebfad98df4c0 · outbound

This paper cites Structured 3D Latents for Scalable and Versatile 3D Generation.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Structured 3D Latents for Scalable and Versatile 3D Generation

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:24.292464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:24.292464Z digest=sha256:198faaa4fc23679335d374bf76842a397d12dba7a95c7bf438d0a7d5b2600fef

Observation 67d759c2-3e0d-4aa0-851d-c466d6efa55a · outbound

This paper cites PhysGaussian: Physics-integrated 3D gaussians for generative dynamics.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials PhysGaussian: Physics-integrated 3D gaussians for generative dynamics

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:25.977231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:24.296905Z digest=sha256:46d23e12d74043123058e29f769178ed7a19603e22e13f6ff42e17cec17df8a4

Observation d539cddd-85d5-445f-a4de-388adf169f25 · outbound

This paper cites InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:24.300208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:24.300208Z digest=sha256:b11f02d1d21cae9e8eb422e5c30ce38c85526ac4ea4b0665e00ee15d15c1ac4e

Observation 4ded4226-3497-475f-9c92-364bd7be44fa · outbound

This paper cites GRM: Large gaussian reconstruction model for efficient 3D reconstruction and generation.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials GRM: Large gaussian reconstruction model for efficient 3D reconstruction and generation

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:25.966675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:24.303701Z digest=sha256:1450438f742965f2bca5ad9e17cec15207ea3ab50d701dc69f033e0eb98e0980

Observation 1c57706b-adce-4be0-ae0a-7f1ba60850be · outbound

This paper cites Paint3D: Paint anything 3D with lighting-less texture diffusion models.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Paint3D: Paint anything 3D with lighting-less texture diffusion models

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:25.955621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:24.308225Z digest=sha256:e699fdccd3c682baa1827b722bdfef74e1cc0ce216e05d4dfe8c786bfc7bbee1

Observation 8f037d07-b23a-4f31-98c7-c8da35229c28 · outbound

This paper cites STAG4D: Spatial-temporal anchored generative 4D gaussians.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials STAG4D: Spatial-temporal anchored generative 4D gaussians

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:25.767719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:24.313236Z digest=sha256:1c98d1d1db316f47c38e4f82280c551385e13fc89859e2482f11b4874e49b528

Observation 75a5ae1b-9343-485a-8c06-d043541a46ad · outbound

This paper cites 3DShape2VecSet: A 3D shape representation for neural fields and generative diffusion models.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials 3DShape2VecSet: A 3D shape representation for neural fields and generative diffusion models

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:25.756611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:24.317580Z digest=sha256:33fb0fcaaa0a11e5c4586f0a3138ccbc17af2012694372d621cb112d484e3153

Observation 41d604ea-52a2-4408-980a-712d58766ecb · outbound

This paper cites LaGeM: A large geometry model for 3D representation learning and diffusion.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials LaGeM: A large geometry model for 3D representation learning and diffusion

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:25.665939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:24.322508Z digest=sha256:de9647f89773e11fc4e107c911220eb0ee2a5070d6918a2f210dbd85d3145108

Observation df3145af-2766-47c3-bad7-4e94c772eef9 · outbound

This paper cites PhysDreamer: Physics-based interaction with 3D objects via video generation.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials PhysDreamer: Physics-based interaction with 3D objects via video generation

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:25.514683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:24.326747Z digest=sha256:2ee2960629a3d02f5f7bdbad1c400ceabdc91b3710bffb87b8392f2a1a67d405

Observation 36314696-428a-4cae-b879-b8f2fb5c8e66 · outbound

This paper cites Efficient Physics Simulation for 3D Scenes via MLLM-Guided Gaussian Splatting.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Efficient Physics Simulation for 3D Scenes via MLLM-Guided Gaussian Splatting

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:24.330773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:24.330773Z digest=sha256:a29a7730a19f7d1245a0f4b0ab083bf767c1105e21837386643d0d54b49a8568

Observation d89edce1-1419-436c-8126-76aecc37d6bd · outbound

This paper cites Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-16T12:28:24.334829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:24.334829Z digest=sha256:b71f8bbc81932cba2dac4550dcfe74199b7a9433537260857541d68fdc35080d

Observation dd0524f9-e47f-4c52-a5a3-adde13cbf7c2 · outbound

This paper cites 3D-VLA: A 3D vision-language-action generative world model.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials 3D-VLA: A 3D vision-language-action generative world model

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:25.502888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:24.349324Z digest=sha256:06d3e7dcb3f3065b833032e56c8d742b069567ae8cbb3d8fe95a2ab4e6f20a71

Observation 01ccb5bb-58eb-4dc8-8afd-d03176963779 · outbound

This paper cites a polyester pillow.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials a polyester pillow

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:25.489130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:24.425245Z digest=sha256:fdec5a42b33688f3b8bf320c47f30f90b7e455b2f044edacd3022e0be233ce3d

Observation 282d4cc2-e224-4709-b3d3-a1ea506afd11 · outbound

This paper cites an unresolved cited work.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Unresolved cited work

Reference 98

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:28:25.244469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:24.541802Z digest=sha256:be8a1a5726552fcb97f85359b03484fad0305920c2b192d766d39a6c7549b05d

Observation 18554639-4bd7-4cd7-8dc4-7d2c7c7467b7 · outbound

This paper cites # Available plastic material models (with parameters required).

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials # Available plastic material models (with parameters required)

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:28:25.234852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:24.595460Z digest=sha256:57624240985ec0c61268a975c4cb622a8713602af99c827e02acdabeb5930411

Observation ce252633-6783-4f03-ab78-de7a2f0f9e1e · outbound

This paper cites an unresolved cited work.

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials Unresolved cited work

Reference 100

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:28:25.224121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T12:28:24.599183Z digest=sha256:ef2b45d4f93bc6034cc8a9cde6432f54f44aea146e6d31650dbac37af7589667

Pith citing papers

Observation ab36fcdd-f574-49bb-9e28-16e74ab9317d · inbound

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

PhysInOne: Visual Physics Learning and Reasoning in One Suite SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:25:59.618204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T16:39:48.066744Z digest=sha256:acf9edda0b62bb55973861d83c4c4ba8090cc155f6d13c1304387ff4c88d541b

Observation 6a3f1178-ea4a-4c5d-9d03-63eba13436bf · inbound

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

3D Generation for Embodied AI and Robotic Simulation: A Survey SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:01:25.493253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-07T13:16:44.508344Z digest=sha256:1f5dd99948ad96a47f981d7cee96f36dc0a2390086baaeaa9d6c8576d750e0b6

Observation aff76df5-132a-44f1-8476-18afc4e63896 · inbound

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

3D Generation for Embodied AI and Robotic Simulation: A Survey SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:01:14.197866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-08T03:31:05.311070Z digest=sha256:a3ce5f68a1adc728541309880bd8ed7adc8467c4261504c6ac1188cb6991c99c

Observation d050f034-40c1-444a-a45e-4dea90d22e42 · inbound

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

3D Generation for Embodied AI and Robotic Simulation: A Survey SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:05:58.499567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-11T01:56:24.510913Z digest=sha256:a5f427defd130629de92283b2142e687f34a1ea20aaf477cf947fab2d7b06c95

Observation 22566b10-4acf-473a-9097-8764bbe300b1 · 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 SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:41:21.860614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-22T09:39:48.573379Z digest=sha256:09ad5e7130dbc4ce44c7e8f128a7ef4125d0161ec3ab4792c787d8cce73f5af9

Observation 15b69089-5971-4c88-9783-cce034e62b53 · inbound

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

Vision Meets WiFi: Physics-Grounded Estimation of Volumetric Mechanical Properties SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T00:25:27.564031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:25:27.564031Z digest=sha256:ea36f234831b18aeb4ac5a05f0880aaa34495e2ce52931f97a8fc92b926cac78