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Paper Citation Record · LEDGER

Data-efficient continuous conditional denoising diffusion model for microstructure generation

As of 17 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2607.10429.

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

pith.paper-citation-record.v1
2607.10429 v1

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T11:48:32.972689Z

measured 85 of 85 standing notices

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

85 of 85 outbound references displayed

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  • verified fuzzy0
  • unresolved81
  • parse uncertain1
  • malformed identifier0
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External citation measurements

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Outbound references

Observation f2505c0c-ba2b-468f-81d9-52f205f8949f · outbound

This paper cites Journal of Machine Learning Research , year =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Journal of Machine Learning Research , year =

Reference 1

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Observation b5d297c1-c7e9-45c0-8a85-2ebf02860166 · outbound

This paper cites Journal of Machine Learning Research , year =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Journal of Machine Learning Research , year =

Reference 2

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Observation 5dba5c72-d625-4655-8c09-f37c6872826e · outbound

This paper cites Phase-field models for microstructure evolution , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Phase-field models for microstructure evolution , volume =

Reference 3

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This paper cites Accelerating phase-field simulation of three-dimensional microstructure evolution in laser powder bed fusion with composable machine learning predictions , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Accelerating phase-field simulation of three-dimensional microstructure evolution in laser powder bed fusion with composable machine learning predictions , volume =

Reference 4

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Observation 88db1a46-4b35-4eab-b95e-7c3d35cf65ba · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation Unresolved cited work

Reference 5

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Observation 6221e1eb-5fc6-49a7-97b3-ef7ca393cfb6 · outbound

This paper cites Siboni and Ghasem Alahyarizadeh and Reza Ghaderi and Bob Svendsen and Dierk Raabe and Jaber Rezaei Mianroodi , doi =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Siboni and Ghasem Alahyarizadeh and Reza Ghaderi and Bob Svendsen and Dierk Raabe and Jaber Rezaei Mianroodi , doi =

Reference 6

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Observation 2a73ae91-5663-404a-8d56-fe6be36e84ab · outbound

This paper cites Hu and S.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Hu and S

Reference 7

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Observation 38c096e4-4f4d-42f6-addb-383306b9879b · outbound

This paper cites CNN-Based Surrogate for the Phase Field Damage Model: Generalization across Microstructure Parameters for Composite Materials , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation CNN-Based Surrogate for the Phase Field Damage Model: Generalization across Microstructure Parameters for Composite Materials , volume =

Reference 8

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Observation e7ab227d-e1e8-4afa-8294-6039c55c2069 · outbound

This paper cites Physics-embedded graph network for accelerating phase-field simulation of microstructure evolution in additive manufacturing , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Physics-embedded graph network for accelerating phase-field simulation of microstructure evolution in additive manufacturing , volume =

Reference 9

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Observation 28b15d2b-2a7c-4704-ad1f-52b1263d1a65 · outbound

This paper cites Stewart and Rémi Dingreville , doi =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Stewart and Rémi Dingreville , doi =

Reference 10

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Observation f70e87d9-e38a-412f-aff5-49bd057d8f3b · outbound

This paper cites Hore and S.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Hore and S

Reference 11

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Observation 49c53d21-2bd6-4bd0-889c-2da07536d03b · outbound

This paper cites Modeling the austenite-ferrite isothermal transformation in an Fe-C binary system and experimental verification , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Modeling the austenite-ferrite isothermal transformation in an Fe-C binary system and experimental verification , volume =

Reference 12

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Observation 84cdd400-e526-44ac-a498-168f27b54c29 · outbound

This paper cites Yazdipour and C.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Yazdipour and C

Reference 13

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Observation 66b38f4e-b67f-4732-8e50-9a2efd1b2bb0 · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation Bos and M

Reference 14

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Observation 3dc613c1-a2f7-4a60-9096-1943082a1564 · outbound

This paper cites Bos and M.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Bos and M

Reference 15

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Data-efficient continuous conditional denoising diffusion model for microstructure generation and Wang, L

Reference 16

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Observation d9c794b1-f0ea-4213-91cd-9dc64433583d · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation and Batra, R

Reference 17

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Observation 137b5d1d-2a1e-4ab1-9821-b73eb5cb9702 · outbound

This paper cites and Tanaka, Y.

Data-efficient continuous conditional denoising diffusion model for microstructure generation and Tanaka, Y

Reference 18

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Data-efficient continuous conditional denoising diffusion model for microstructure generation Unresolved cited work

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Data-efficient continuous conditional denoising diffusion model for microstructure generation Unresolved cited work

Reference 20

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Observation d60c899e-aa20-4c6c-b059-7b10e5b14fa2 · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation and others , year =

Reference 21

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Observation 9c2c0b36-4d7f-441e-ab67-f989568f2182 · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation and Tan, X

Reference 22

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This paper cites GrainNN: A neighbor-aware long short-term memory network for predicting microstructure evolution during polycrystalline grain formation , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation GrainNN: A neighbor-aware long short-term memory network for predicting microstructure evolution during polycrystalline grain formation , volume =

Reference 23

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Data-efficient continuous conditional denoising diffusion model for microstructure generation and Pokharel, R

Reference 24

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Observation 2eae78e7-6c77-4cfc-a26e-0b3bc667b481 · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation and Acar, P

Reference 25

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Observation b4d8a44c-7275-48ed-8e9f-368db943c25d · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation and Randazzo, E

Reference 26

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Observation 02017d95-4d01-443f-804c-366582bf6cc6 · outbound

This paper cites Neural cellular automata for solidification microstructure modelling , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Neural cellular automata for solidification microstructure modelling , volume =

Reference 27

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Observation a8818a72-8295-485f-855e-bae6bd60486c · outbound

This paper cites Denoising Diffusion Probabilistic Models , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Denoising Diffusion Probabilistic Models , volume =

Reference 28

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Observation 6eb823ca-eed4-4bda-a8fc-fe4f0d8c97c7 · outbound

This paper cites Improved Denoising Diffusion Probabilistic Models , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Improved Denoising Diffusion Probabilistic Models , volume =

Reference 29

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Observation 1bfc86ee-b71e-4386-b29f-fb6324588848 · outbound

This paper cites Guided diffusion for fast inverse design of voxel-based mechanical metamaterials , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Guided diffusion for fast inverse design of voxel-based mechanical metamaterials , volume =

Reference 30

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Observation 71b289d1-6c2a-4d01-b584-4ba2c93d99ff · outbound

This paper cites and Kochmann, DM.

Data-efficient continuous conditional denoising diffusion model for microstructure generation and Kochmann, DM

Reference 31

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Observation f1e46e1e-a5cb-43e5-ac4a-876c68035768 · outbound

This paper cites Physics-Informed Diffusion Models , url =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Physics-Informed Diffusion Models , url =

Reference 32

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Observation 49be2b65-c76b-4f9a-9163-11ec85336aae · outbound

This paper cites Predictive microstructure image generation using denoising diffusion probabilistic models , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Predictive microstructure image generation using denoising diffusion probabilistic models , volume =

Reference 33

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Observation 3b882092-d77c-453c-a431-15573e2ff604 · outbound

This paper cites Understanding Diffusion Models: A Unified Perspective , url =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Understanding Diffusion Models: A Unified Perspective , url =

Reference 34

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Observation b5b835c5-4ee0-489c-ac71-846318b4ceb6 · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation Kirka , doi =

Reference 35

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Observation e5854d21-f8b2-4e7f-84ca-ff1fe4497822 · outbound

This paper cites Reconstructing Microstructures From Statistical Descriptors Using Neural Cellular Automata , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Reconstructing Microstructures From Statistical Descriptors Using Neural Cellular Automata , volume =

Reference 36

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Observation b8730f47-6693-483c-b9a0-8b80cdad1a61 · outbound

This paper cites Conditional diffusion-based microstructure reconstruction , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Conditional diffusion-based microstructure reconstruction , volume =

Reference 37

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Observation 5a9be85d-7fe6-4fae-8e1d-07ddb31bc08b · outbound

This paper cites Microstructure reconstruction of 2D/3D random materials via diffusion-based deep generative models , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Microstructure reconstruction of 2D/3D random materials via diffusion-based deep generative models , volume =

Reference 38

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Observation 81aaff5b-d00e-4d5f-8638-dc7aac3e8d41 · outbound

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

Data-efficient continuous conditional denoising diffusion model for microstructure generation U-net: Convolutional networks for biomedical image segmentation , volume =

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Data-efficient continuous conditional denoising diffusion model for microstructure generation Kingma and Max Welling , doi =

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Observation 8c7aa3e4-acaf-4fe3-bcfe-fb9e1f285979 · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation Deep Residual Learning for Image Recognition , url =

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Observation c93ea5b9-b1b0-4bd7-9edb-f4bcf407c51b · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation Kingma and Tim Salimans and Ben Poole and Jonathan Ho , doi =

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Observation e3ce83c9-ffb1-4edf-b1a8-ec9cf6ef5043 · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation Machine learning-based microstructure prediction during laser sintering of alumina , volume =

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Observation 6a87ba1b-3664-44c7-b895-3144cf113e25 · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation Epting and Hokon Kim and Harry W

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Observation 66311798-4fdf-4b66-b0ba-b8685224889d · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation Choi and H

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Observation 61b1130c-3ff1-432a-a7e6-8424cdc40fa2 · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation Towards automatic feature extraction and sample generation of grain structure by variational autoencoder , volume =

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Observation cb68d0c6-73a5-4e7f-bd04-a8d97978ad2e · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation Exploration of optimal microstructure and mechanical properties in continuous microstructure space using a variational autoencoder , volume =

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Observation 47b08a9e-7862-4165-bd76-788cfe99d9f6 · outbound

This paper cites Buzzy and Andreas E.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Buzzy and Andreas E

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Observation 76414aa1-c345-415f-a590-3430cf357a58 · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation Vlassis and Wai Ching Sun and Khalid A

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Observation 949be312-424a-4a42-9f1b-38b46055d78d · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation Bos and J

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Observation cd3a14c2-8e90-49c9-aaa5-7dcdb8a111b1 · outbound

This paper cites Jane Wang , doi =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Jane Wang , doi =

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Observation 99387444-ba03-45ea-9bef-102a1507b706 · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation Classifier-Free Diffusion Guidance , url =

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Observation f8366444-ac44-49dd-9702-def6fb4b1a7c · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation Welch and Z

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Observation b8a304d9-7f92-467a-8b6f-ea72f1bffad5 · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation Denoising Diffusion Implicit Models , url =

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Observation 58cb8f68-568b-4da2-90a9-8f1595f518d6 · outbound

This paper cites A deep adversarial approach for the generation of synthetic titanium alloy microstructures with limited training data , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation A deep adversarial approach for the generation of synthetic titanium alloy microstructures with limited training data , volume =

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Observation 985eac35-5a2e-4fcc-902a-c2afcde35004 · outbound

This paper cites White and Gowtham Nimmal Haribabu and Jeyapriya Thimukonda Jegadeesan and Bikramjit Basu and Philip J.

Data-efficient continuous conditional denoising diffusion model for microstructure generation White and Gowtham Nimmal Haribabu and Jeyapriya Thimukonda Jegadeesan and Bikramjit Basu and Philip J

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Observation 10c189df-d85b-4a12-9504-f94db88ea5ba · outbound

This paper cites Attention Is All You Need , url =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Attention Is All You Need , url =

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Observation ae41b5b7-e49f-457b-bae2-204c421cbff0 · outbound

This paper cites Group Normalization , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Group Normalization , volume =

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Observation 12a330df-5f8c-448c-adeb-c9cb402a4b80 · outbound

This paper cites Sigmoid-weighted linear units for neural network function approximation in reinforcement learning , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Sigmoid-weighted linear units for neural network function approximation in reinforcement learning , volume =

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Observation e2a986c3-8269-4ac3-9bea-e414b583f6d1 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , volume =

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Observation 23b3645d-d733-45d8-8273-7fce2a1826f7 · outbound

This paper cites ACDC: A Structured Efficient Linear Layer , url =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation ACDC: A Structured Efficient Linear Layer , url =

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Observation 6321df62-bfa3-4912-a9a2-edcdd5b14b54 · outbound

This paper cites Deep Learning using Rectified Linear Units (ReLU) , url =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Deep Learning using Rectified Linear Units (ReLU) , url =

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Observation 0557ea6b-bad5-4c6e-a1d7-f6d137864b0d · outbound

This paper cites 2015 , eprint=.

Data-efficient continuous conditional denoising diffusion model for microstructure generation 2015 , eprint=

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Observation c8b4b0e2-1706-4091-a2fe-c65cb25654c5 · outbound

This paper cites The Theoretical Expressiveness of Maxpooling , url =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation The Theoretical Expressiveness of Maxpooling , url =

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Observation c66ac7eb-1242-4341-933c-00de4ad3fe93 · outbound

This paper cites Nearest Neighbor Value Interpolation , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Nearest Neighbor Value Interpolation , volume =

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Observation d2330f50-ee25-4683-ad6a-d1d4e1e86c00 · outbound

This paper cites Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets , url =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets , url =

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Observation 09ce4826-9285-41f3-aff9-588e67a29a07 · outbound

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Data-efficient continuous conditional denoising diffusion model for microstructure generation Kingma and Jimmy Lei Ba , doi =

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Observation 55b098a8-a64a-4361-97d0-bba6484bd7c7 · outbound

This paper cites Freeman and Taesung Park , doi =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Freeman and Taesung Park , doi =

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Observation c88782f0-a7f5-43b8-9487-9ec28e5636d5 · outbound

This paper cites Freeman , doi =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Freeman , doi =

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Observation 1132e93d-bc31-472b-8183-7be3976e5da6 · outbound

This paper cites 2014 , eprint=.

Data-efficient continuous conditional denoising diffusion model for microstructure generation 2014 , eprint=

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Observation 301f9e1e-ee20-4cd1-9172-403d6e6b4957 · outbound

This paper cites 2021 , publisher =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation 2021 , publisher =

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Observation 9a6eaf79-e8ba-40af-8a6b-f7516c8b6fb3 · outbound

This paper cites and Khanbareh, H.

Data-efficient continuous conditional denoising diffusion model for microstructure generation and Khanbareh, H

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Observation ec489dec-5740-4d28-9e55-f049a8b24795 · outbound

This paper cites Inverse design of microstructures using conditional continuous normalizing flows , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Inverse design of microstructures using conditional continuous normalizing flows , volume =

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Observation 6a385e24-1772-4127-8e3a-fffb82e6452f · outbound

This paper cites , title =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation , title =

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source=arxiv_source observed=2026-07-14T11:48:32.972689Z digest=sha256:a531623fb8b6ee7dc5064a93897a03a9eda21a4472ac9ac4aee3eed5f4a2bfb6

Observation 87847dce-0d98-482a-b985-a5208fcb86a4 · outbound

This paper cites Oliphant and Matt Haberland and Tyler Reddy and David Cournapeau and Evgeni Burovski and Pearu Peterson and Warren Weckesser and Jonathan Bright and Stéfan J.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Oliphant and Matt Haberland and Tyler Reddy and David Cournapeau and Evgeni Burovski and Pearu Peterson and Warren Weckesser and Jonathan Bright and Stéfan J

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source=arxiv_source observed=2026-07-14T11:48:32.972689Z digest=sha256:1241a6e74f3e89e86507b3c6198ab7dce012ecd1880543281d34069293e2e1a4

Observation 6f887eb0-81e5-441f-8422-34faead956c4 · outbound

This paper cites Effect of manganese bands on austenite formation of low carbon steels in dual phase steel manufacture , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Effect of manganese bands on austenite formation of low carbon steels in dual phase steel manufacture , volume =

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Observation 32b3b903-7475-4149-875c-06fe88e939c4 · outbound

This paper cites NICE: Non-linear Independent Components Estimation , url =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation NICE: Non-linear Independent Components Estimation , url =

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Observation 164c6dd2-a62b-4a33-a312-02f09bb02cb9 · outbound

This paper cites Variational Inference with Normalizing Flows , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Variational Inference with Normalizing Flows , volume =

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This paper cites 1994 , isbn =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation 1994 , isbn =

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Reference 80

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This paper cites Thermo-Calc and DICTRA, computational tools for materials science , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Thermo-Calc and DICTRA, computational tools for materials science , volume =

Reference 81

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Observation 43e22f78-6301-484d-a080-98995ae1956c · outbound

This paper cites 3D Denoising Diffusion Probabilistic Models for 3D microstructure image generation of fuel cell electrodes , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation 3D Denoising Diffusion Probabilistic Models for 3D microstructure image generation of fuel cell electrodes , volume =

Reference 82

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This paper cites 3D multiphase heterogeneous microstructure generation using conditional latent diffusion models , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation 3D multiphase heterogeneous microstructure generation using conditional latent diffusion models , volume =

Reference 83

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Observation e65ff1b0-3aea-4f56-9487-615829a64e77 · outbound

This paper cites , author =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation , author =

Reference 84

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Observation 75630da0-8bbc-4d4a-af47-5b18aa78ae05 · outbound

This paper cites Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits , volume =.

Data-efficient continuous conditional denoising diffusion model for microstructure generation Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits , volume =

Reference 85

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