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Paper Citation Record · LEDGER

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement

As of 6 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2606.10473.

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

pith.paper-citation-record.v1
2606.10473 v1

Coverage vector

measured 36 of 36 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-06-27T11:17:12.590198Z

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

36 of 36 outbound references displayed

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External citation measurements

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Outbound references

Observation 1cf02496-f3f9-4f24-8f95-21f0d0644009 · outbound

This paper cites The well: a large-scale collection of diverse physics simulations for machine learning.Advances in Neural Information Processing Systems, 37:44989–45037, 2024.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement The well: a large-scale collection of diverse physics simulations for machine learning.Advances in Neural Information Processing Systems, 37:44989–45037, 2024

Reference 1

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Observation f17c7a15-b9c4-47f4-a5cc-6f71b31938ff · outbound

This paper cites Fluidgaussian: Propagating simulation-based uncertainty toward functionally-intelligent 3d reconstruction.CVPR, 2026.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Fluidgaussian: Propagating simulation-based uncertainty toward functionally-intelligent 3d reconstruction.CVPR, 2026

Reference 2

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Observation 6ff044e2-5c91-4757-a026-b933e17ea63b · outbound

This paper cites Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time

Reference 3

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Observation 3c61f2b1-3033-490c-ad2f-51e2572c0251 · outbound

This paper cites an unresolved cited work.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Unresolved cited work

Reference 4

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Observation 84fe037f-6d77-40cd-b4bc-cc9cff2bead2 · outbound

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AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Unresolved cited work

Reference 5

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Observation 65a02bab-d427-4717-bcbb-da1acef9d454 · outbound

This paper cites doi:10.1093/mnras/181.3.375 , keywords =.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement doi:10.1093/mnras/181.3.375 , keywords =

Reference 6

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Observation 7a15edbb-72d0-4a8c-a634-8381725f909c · outbound

This paper cites Koshizuka, Y.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Koshizuka, Y

Reference 7

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Observation 6127dad9-efd6-42d0-91b2-47b84d94cb05 · outbound

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

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Particle-based fluid simulation for interactive applications

Reference 8

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Observation 41a079c3-3b30-4bb1-98af-bfa85eb12ec4 · outbound

This paper cites A Survey on SPH Methods in Computer Graphics.Computer Graphics Forum, 41(2), 2022.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement A Survey on SPH Methods in Computer Graphics.Computer Graphics Forum, 41(2), 2022

Reference 9

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Observation d8535aac-0edc-4b61-a46c-c68b360b25a9 · outbound

This paper cites The affine particle-in-cell method.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement The affine particle-in-cell method

Reference 10

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Observation ec66ae6c-72b2-4a49-8a5f-33c3bbdb1135 · outbound

This paper cites 2018 , issue_date =.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement 2018 , issue_date =

Reference 11

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Observation 192f5e9d-c842-4f38-93e3-be1dd8e15898 · outbound

This paper cites Sulsky, S.-J.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Sulsky, S.-J

Reference 12

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Observation 59561aa1-7fc5-48c8-935d-d1f53113e16e · outbound

This paper cites Groot and Patrick B.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Groot and Patrick B

Reference 13

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Observation 4220e272-b09a-4629-aa87-646942b6b6e1 · outbound

This paper cites Make It Home: Automatic Optimization of Furniture Arrangement.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Make It Home: Automatic Optimization of Furniture Arrangement

Reference 14

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Observation d2b3bd10-3854-4311-8802-cd06302c0138 · outbound

This paper cites Fluid implicit particles on coadjoint orbits.ACM Trans.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Fluid implicit particles on coadjoint orbits.ACM Trans

Reference 15

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Observation b989ae30-96c0-45c2-bc4e-92974cd5a05e · outbound

This paper cites doi: 10.1145/3687970.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement doi: 10.1145/3687970

Reference 16

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Observation 477c8f42-eaba-4b56-bef6-846e2cc8799e · outbound

This paper cites Neural fluid simulation on geometric surfaces.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Neural fluid simulation on geometric surfaces

Reference 17

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Observation dd880fb0-7602-48bc-9d15-81f86eadf8e8 · outbound

This paper cites Liquid splash modeling with neural networks.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Liquid splash modeling with neural networks

Reference 18

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 6f451033-e7c3-4047-b0e1-7a536758a857 · outbound

This paper cites Neural upflow: A scene flow learning approach to increase the apparent resolution of particle-based liquids.Proc.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Neural upflow: A scene flow learning approach to increase the apparent resolution of particle-based liquids.Proc

Reference 19

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Observation 921a7520-7568-4b17-940b-bd6f208ee1df · outbound

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

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Learning to simulate complex physics with graph networks

Reference 20

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Observation e7b42a78-642f-4656-b3e0-59b8a37e7c95 · outbound

This paper cites Lagrangian fluid sim- ulation with continuous convolutions.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Lagrangian fluid sim- ulation with continuous convolutions

Reference 21

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Observation f09bf152-9d5c-4c25-9cd0-c599d6dc9893 · outbound

This paper cites Guaranteed con- servation of momentum for learning particle-based fluid dynamics.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Guaranteed con- servation of momentum for learning particle-based fluid dynamics

Reference 22

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Observation 70a34752-395a-4a07-a98d-ba7774260b89 · outbound

This paper cites Erbesdobler, Nikolaus A.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Erbesdobler, Nikolaus A

Reference 23

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Observation 2b0d7748-9971-437f-afc2-f77962c90a5b · outbound

This paper cites doi:10.1146/annurev.aa.30.090192.002551 , keywords =.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement doi:10.1146/annurev.aa.30.090192.002551 , keywords =

Reference 24

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Observation f8044a56-d221-4644-a50a-048d735f8e68 · outbound

This paper cites Monaghan, Smoothed particle hydrodynamics, Reports on Progress in Physics 68 (8) (2005) 1703.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Monaghan, Smoothed particle hydrodynamics, Reports on Progress in Physics 68 (8) (2005) 1703

Reference 25

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Observation eb5f5832-c5be-455d-ad31-826a85149402 · outbound

This paper cites JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework

Reference 26

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Observation 26fe7bf0-53cf-442d-8e48-7f0567c2a9ae · outbound

This paper cites Weakly compressible SPH for free surface flows.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Weakly compressible SPH for free surface flows

Reference 27

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Observation e6b73fa4-c0c4-47e7-a0d9-ee2826b03c80 · outbound

This paper cites URL https://dl.acm.org/doi/10.5555/1272690.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement URL https://dl.acm.org/doi/10.5555/1272690

Reference 28

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Observation eeb26362-dd41-4f6e-a5a8-48719a00eb33 · outbound

This paper cites Solenthaler and R.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Solenthaler and R

Reference 29

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Observation 708b2c71-0e13-44cf-bf37-63bc2499c2e6 · outbound

This paper cites Data-driven fluid simulations using regression forests.ACM Transactions on Graphics, 34(6),.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Data-driven fluid simulations using regression forests.ACM Transactions on Graphics, 34(6),

Reference 30

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Observation f86c17d0-d85b-4146-952d-66274ff17f90 · outbound

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AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Unresolved cited work

Reference 31

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Observation f176c6d4-2a35-4e02-afae-221c7c40c3db · outbound

This paper cites Michael Owen, Jens V.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Michael Owen, Jens V

Reference 32

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Observation 6a28fcdd-b05c-440a-979f-7ba05a9beb5d · outbound

This paper cites Shapiro, Hugo Martel, and Jens V.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Shapiro, Hugo Martel, and Jens V

Reference 33

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Observation f7baecc5-efe2-49ff-b987-47675824564e · outbound

This paper cites Reconstructing surfaces of particle-based fluids using anisotropic kernels.ACM Transactions on Graphics, 32(1), 2013.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Reconstructing surfaces of particle-based fluids using anisotropic kernels.ACM Transactions on Graphics, 32(1), 2013

Reference 34

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Observation cd7ce29b-8501-45da-8ddf-17abc40f2309 · outbound

This paper cites Graph.42, 4, Article 139 (jul 2023), 14 pages.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement Graph.42, 4, Article 139 (jul 2023), 14 pages

Reference 35

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metadata mismatch
doi, observed 2026-06-27T11:20:52.434263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T11:17:12.590198Z digest=sha256:7cc579a6ad36cef57e8179d3db72f00f0e9e853259751dc6f58c60e39b13f6db

Observation 6d93df55-efb8-476f-ae59-066f31ef50fa · outbound

This paper cites In: Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers.

AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement In: Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T11:20:52.439838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T11:17:12.590198Z digest=sha256:e64c84f7f7349a34e2ee23dcef1a991181f872d147bbfec98de4bfd693efc992

Pith citing papers

No inbound Pith citation observations are available.