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Paper Citation Record · LEDGER

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator

As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2506.05797.

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

pith.paper-citation-record.v1
2506.05797 v3

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

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measured 43 of 43 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Observation 9dd68850-e047-4fa9-9e96-d62dec88d225 · outbound

This paper cites Belytschko, W.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Belytschko, W

Reference 1

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Observation a29f3842-f548-4794-ba48-74e5eb9ee2e1 · outbound

This paper cites A material point method for snow simulation,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator A material point method for snow simulation,

Reference 2

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Observation dc088d99-c1fb-411b-9b44-0cfc546bc6f3 · outbound

This paper cites Divergence-free smoothed particle hydrodynamics,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Divergence-free smoothed particle hydrodynamics,

Reference 3

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Observation 9a4253ed-4bbd-43a4-abdb-1288e2f877de · outbound

This paper cites Learning particle dynamics for manipulating rigid bodies, deformable objects, and fluids,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Learning particle dynamics for manipulating rigid bodies, deformable objects, and fluids,

Reference 4

Resolution
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Observation f001c3ee-b83e-47c6-9fd9-da77b803f791 · outbound

This paper cites Learning mesh-based simulation with graph networks,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Learning mesh-based simulation with graph networks,

Reference 5

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Observation 0c820082-a82d-4f37-b516-b8627e8da21a · outbound

This paper cites Learning to simulate complex physics with graph networks,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Learning to simulate complex physics with graph networks,

Reference 6

Resolution
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Observation 5e6da9e5-fe3f-45e5-9cf6-74bbfde239b9 · outbound

This paper cites Efficient learning of mesh-based physical simulation with bi-stride multi-scale graph neural network,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Efficient learning of mesh-based physical simulation with bi-stride multi-scale graph neural network,

Reference 7

Resolution
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Observation 70a7976d-4af6-480c-a276-ba4c2fadecb7 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 8

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Observation 61464242-fbfc-4f11-b17f-cd29a5f13df0 · outbound

This paper cites An energy approach to the solution of partial differential equations in computa- tional mechanics via machine learning: Concepts, implementation and applications,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator An energy approach to the solution of partial differential equations in computa- tional mechanics via machine learning: Concepts, implementation and applications,

Reference 9

Resolution
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Observation 45752863-4852-44d4-975e-cf14fe172aaa · outbound

This paper cites Lagrangian neural networks,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Lagrangian neural networks,

Reference 10

Resolution
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Observation f0467d67-9767-4e58-90c9-a2128751bc94 · outbound

This paper cites Geometric and physical quantities improve e (3) equivariant message passing,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Geometric and physical quantities improve e (3) equivariant message passing,

Reference 11

Resolution
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Observation 2e33ab4e-a2d7-4691-840c-c4c9a12cb5e9 · outbound

This paper cites E (n) equivariant graph neural networks,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator E (n) equivariant graph neural networks,

Reference 12

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Observation 38db048b-e0fa-49de-a7e3-f3487cb9af52 · outbound

This paper cites Learning physical dynamics with subequivariant graph neural networks,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Learning physical dynamics with subequivariant graph neural networks,

Reference 13

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Observation ec732d4e-7559-4833-97d0-74224cff9050 · outbound

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EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Equivariant graph mechanics networks with constraints,

Reference 14

Resolution
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Observation 3baad45a-8409-4d9f-a0df-5766402b587e · outbound

This paper cites Se (3)-equivariant diffusion graph nets: Synthesizing flow fields by denoising invariant latents on graphs,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Se (3)-equivariant diffusion graph nets: Synthesizing flow fields by denoising invariant latents on graphs,

Reference 15

Resolution
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Observation d674e026-f44d-4d6b-8432-b7eee1538559 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 16

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EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Neural ordinary differential equations,

Reference 17

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This paper cites Space-time continuous pde forecasting using equivariant neural fields,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Space-time continuous pde forecasting using equivariant neural fields,

Reference 18

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Observation 1c915aae-f274-4f2c-a748-3854bf83f16c · outbound

This paper cites Deepsdf: Learning continu- ous signed distance functions for shape representation,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Deepsdf: Learning continu- ous signed distance functions for shape representation,

Reference 19

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EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Learning implicit fields for generative shape modeling,

Reference 20

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EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Occupancy networks: Learning 3d reconstruction in function space,

Reference 21

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EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 22

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EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Implicit neural rep- resentations with periodic activation functions,

Reference 23

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This paper cites Metasdf: Meta-learning signed distance functions,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Metasdf: Meta-learning signed distance functions,

Reference 24

Resolution
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This paper cites From data to functa: Your data point is a function and you can treat it like one,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator From data to functa: Your data point is a function and you can treat it like one,

Reference 25

Resolution
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This paper cites Implicit neural spatial representations for time-dependent pdes,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Implicit neural spatial representations for time-dependent pdes,

Reference 26

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EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Fluid simulation on neural flow maps,

Reference 27

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EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Neural implicit reduced fluid simulation,

Reference 28

Resolution
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Source-reported events for the cited work

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EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Grounding continuous representations in geometry: Equivariant neural fields,

Reference 29

Resolution
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This paper cites Fast, expressive se (n) equivariant networks through weight-sharing in position-orientation space,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Fast, expressive se (n) equivariant networks through weight-sharing in position-orientation space,

Reference 30

Resolution
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This paper cites Geometry aware infer- ence of steady state pdes using equivariant neural fields representations,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Geometry aware infer- ence of steady state pdes using equivariant neural fields representations,

Reference 31

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EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Interaction networks for learning about objects, relations and physics,

Reference 32

Resolution
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Source-reported events for the cited work

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EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Neural relational inference for interacting systems,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b010709e-a87e-4901-9632-36edec56c04b · outbound

This paper cites Graph networks as learnable physics engines for inference and control,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Graph networks as learnable physics engines for inference and control,

Reference 34

Resolution
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raw_fallback, observed 2026-08-07T10:22:40.878422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:22:39.481414Z digest=sha256:12ada5190d95a6bea07101564574d4451bd6bfced80c808fcb591ced89eda475

Observation b8e572b3-e127-4966-92aa-fcfd6cd0b463 · outbound

This paper cites Learning rigid dynamics with face interaction graph networks,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Learning rigid dynamics with face interaction graph networks,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:22:40.862212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:22:39.621538Z digest=sha256:7b77f06a168bf202197634ff0fcfef82e0036657c7fd2510457ffbec564889f7

Observation 97cce41e-5d62-4769-8e2a-77cca12f5752 · outbound

This paper cites Learning rigid-body simulators over implicit shapes for large-scale scenes and vision,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Learning rigid-body simulators over implicit shapes for large-scale scenes and vision,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:22:40.846499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:22:39.682111Z digest=sha256:d45925aa9fdb41afda6b9ce398795cbd01900938690b43c85ffa5132a3e3b126

Observation b1a81e8f-e9b5-4427-85e1-58492ab71891 · outbound

This paper cites Extending lagrangian and hamiltonian neural networks with differentiable contact models,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Extending lagrangian and hamiltonian neural networks with differentiable contact models,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:22:40.831281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:22:39.792662Z digest=sha256:376f33261c9a94e1da6fb8e2191d339e9884a2a2e951dba243bac44c51d74110

Observation 0764e31f-75d2-404d-a68f-1536bc3ab0fb · outbound

This paper cites Hamiltonian graph networks with ode integrators,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Hamiltonian graph networks with ode integrators,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:22:40.815023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:22:39.886225Z digest=sha256:3f82bb087009ab3a60e9d8e3431acdd9d4df85c6eefbbcbd6ba0eb246f7cccd3

Observation 92b6ca75-f79b-4fec-9ca0-80d68a1a3cf3 · outbound

This paper cites Constraint-based graph network simulator,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Constraint-based graph network simulator,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:22:40.798147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:22:39.947908Z digest=sha256:07839df050f17a9cdd061fddec08f9d0c291b48af38bd30ad446b9b6afb58a5f

Observation b386e303-3303-4b0f-b576-1413621f93c1 · outbound

This paper cites Tensor field networks: Rotation-and translation-equivariant neural networks for 3d point clouds,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Tensor field networks: Rotation-and translation-equivariant neural networks for 3d point clouds,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:22:40.782747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:22:40.072923Z digest=sha256:3b6db12e6ecd99f72a3b9ea543ea1899b44cc99e5c9a7431a3e46813ed8544ff

Observation 47123acd-3905-44be-a5fe-0bd346646859 · outbound

This paper cites Gemnet: Universal directional graph neural networks for molecules,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Gemnet: Universal directional graph neural networks for molecules,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:22:40.767408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:22:40.220609Z digest=sha256:d3012f7307b5e32d720175daad744f44db0b7e65b81b7d501346eb54798663c9

Observation 48a2df1e-d437-44cd-9d1d-db25b694f4e6 · outbound

This paper cites Graph Neural Networks for Learning Equivariant Representations of Neural Networks,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Graph Neural Networks for Learning Equivariant Representations of Neural Networks,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:22:40.752480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:22:40.264561Z digest=sha256:b878ca99f1637f721dc6fc2a59638f2f0efa2d63f990335523ef804086b3dc4a

Observation 3e49bc3e-63d4-4e90-878d-33671f48ab2c · outbound

This paper cites Vector neurons: A general framework for so (3)-equivariant networks,.

EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator Vector neurons: A general framework for so (3)-equivariant networks,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:22:40.708202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:22:40.425476Z digest=sha256:38da2fd9f0d65f459d90681995f3797390765c92d994168d79d1fac021f5d185

Pith citing papers

No inbound Pith citation observations are available.