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Paper Citation Record · LEDGER

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata

As of 18 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2502.09631.

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

pith.paper-citation-record.v1
2502.09631 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:25:35.572254Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T07:30:31.260550Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T07:32:09.037028Z

Reference resolution

27 of 27 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa34a298-ee4e-4ff6-801c-22e93c8451ea · outbound

This paper cites Efficient neural style transfer for volumetric sim- ulations.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Efficient neural style transfer for volumetric sim- ulations

Reference 1

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Source-reported events for the cited work

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Observation 00cf4924-aa2a-417c-9aef-daaf8b4b7aec · outbound

This paper cites Fluid Simulation for Computer Graphics.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Fluid Simulation for Computer Graphics

Reference 2

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Observation c1daf520-3ffb-406f-9e54-33f017af4c0e · outbound

This paper cites Production volume rendering: Siggraph 2017 course.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Production volume rendering: Siggraph 2017 course

Reference 3

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Observation 5159f4e8-69ee-4aa4-9ab8-e2f9fa800dac · outbound

This paper cites The fantastic combinations of jhon con- way’s new solitaire game’life.Scientific American, 223:120– 123, 1970.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata The fantastic combinations of jhon con- way’s new solitaire game’life.Scientific American, 223:120– 123, 1970

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3e165b40-c49b-44ab-b254-146c394e1c60 · outbound

This paper cites Tex- ture synthesis using convolutional neural networks.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Tex- ture synthesis using convolutional neural networks

Reference 5

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Source-reported events for the cited work

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Observation 62a51c98-d279-471b-9d39-8dd929f25085 · outbound

This paper cites Image style transfer using convolutional neural networks.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Image style transfer using convolutional neural networks

Reference 6

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Source-reported events for the cited work

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Observation a92a4db9-c773-4876-b802-7a0f8fd6bdf4 · outbound

This paper cites Cellular automata as convolutional neural networks.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Cellular automata as convolutional neural networks

Reference 7

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Source-reported events for the cited work

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Observation 70116874-d650-4daf-b78c-2f2fc2a3c388 · outbound

This paper cites V olumetric appearance styl- ization with stylizing kernel prediction network.ACM Trans- actions on Graphics (Proceedings of SIGGRAPH) , 40(4): 162–1, 2021.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata V olumetric appearance styl- ization with stylizing kernel prediction network.ACM Trans- actions on Graphics (Proceedings of SIGGRAPH) , 40(4): 162–1, 2021

Reference 8

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Source-reported events for the cited work

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Observation 779f8e97-506d-4682-82f2-e51b346a967a · outbound

This paper cites On demand solid texture synthesis using deep 3d networks.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata On demand solid texture synthesis using deep 3d networks

Reference 9

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Observation e219f8fd-ff05-4bb0-b500-8715d8f48400 · outbound

This paper cites Learn- ing a neural 3d texture space from 2d exemplars.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Learn- ing a neural 3d texture space from 2d exemplars

Reference 10

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Source-reported events for the cited work

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Observation 13b98e0d-3047-4737-953b-87a663f4670e · outbound

This paper cites Singed silhouettes and feed forward flames: V olu- metric neural style transfer for expressive fire simulation.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Singed silhouettes and feed forward flames: V olu- metric neural style transfer for expressive fire simulation

Reference 11

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Source-reported events for the cited work

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Observation 8d50e97c-7053-4950-b454-dc9d9474bfd6 · outbound

This paper cites Azevedo, Markus Gross, and Barbara Solenthaler.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Azevedo, Markus Gross, and Barbara Solenthaler

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3e2f71ea-4159-4bba-93c5-aad71635e030 · outbound

This paper cites Azevedo, Markus Gross, and Barbara Solenthaler.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Azevedo, Markus Gross, and Barbara Solenthaler

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a1a1082c-7fc1-443c-9be4-0df9f13290e1 · outbound

This paper cites Style transfer by relaxed optimal transport and self-similarity.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Style transfer by relaxed optimal transport and self-similarity

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5187807a-01a3-42f2-950f-a30116757636 · outbound

This paper cites Solid tex- ture synthesis from 2d exemplars.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Solid tex- ture synthesis from 2d exemplars

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cd39a7e1-276a-4c22-945c-95cccfe8b781 · outbound

This paper cites Geometric processes and replacement problem.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Geometric processes and replacement problem

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5b9ea1f3-cd86-4286-a16f-d70c89e0ad75 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Srinivasan, Matthew Tancik, Jonathan T

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f0f6471b-1688-4f13-ba51-804321a493d3 · outbound

This paper cites Differentiable programming of reaction-diffusion patterns.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Differentiable programming of reaction-diffusion patterns

Reference 18

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Source-reported events for the cited work

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Observation 30d887da-9826-46bc-86e2-cf02337f46e6 · outbound

This paper cites Self-organising textures.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Self-organising textures

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8863d6dc-175a-475b-9db0-62efd38966d4 · outbound

This paper cites A family of large-stencil discrete laplacian approximations in three- dimensions.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata A family of large-stencil discrete laplacian approximations in three- dimensions

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation db9dcf70-0434-4c96-b160-65370d5f70a8 · outbound

This paper cites Dynca: Real-time dynamic texture synthe- sis using neural cellular automata.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Dynca: Real-time dynamic texture synthe- sis using neural cellular automata

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a44e54c6-8a2c-4724-8bf1-53437fa4a2a6 · outbound

This paper cites Solid texturing of complex surfaces.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Solid texturing of complex surfaces

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b5714287-de22-473b-8d58-96ef3ff23609 · outbound

This paper cites An image synthesizer.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata An image synthesizer

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8b1cd8b7-c491-472a-b91c-3d61384c288d · outbound

This paper cites Gramgan: Deep 3d texture synthesis from 2d exem- plars.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Gramgan: Deep 3d texture synthesis from 2d exem- plars

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d0df525b-d65f-4c55-8abb-b775872e9a46 · outbound

This paper cites Very deep convo- lutional networks for large-scale image recognition.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Very deep convo- lutional networks for large-scale image recognition

Reference 25

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Source-reported events for the cited work

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Observation cc58f365-aa24-47b2-9199-8fc3ea0f28d4 · outbound

This paper cites Two-stream convolutional networks for dynamic texture synthesis.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Two-stream convolutional networks for dynamic texture synthesis

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f5c18b22-eea9-4659-8766-69cc9b4e233d · outbound

This paper cites an unresolved cited work.

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata Unresolved cited work

Reference 2021

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

Observation 8972aaea-87eb-4e31-a854-cfb8163c52c9 · inbound

Neural Cellular Automata: From Cells to Pixels cites this paper.

Neural Cellular Automata: From Cells to Pixels Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata

Reference 30

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arxiv_id, observed 2026-05-19T07:32:09.038492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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