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Paper Citation Record · LEDGER

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design

As of 9 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.24274.

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

pith.paper-citation-record.v1
2607.24274 v1

Coverage vector

measured 20 of 20 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-31T19:30:20.817811Z

measured 20 of 20 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

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20 of 20 outbound references displayed

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External citation measurements

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Outbound references

Observation c278903c-7c45-4ab0-bc5c-422c45e0b196 · outbound

This paper cites New 2d to 3d reconstruction of heterogeneous porous media via deep generative adversarial networks (gans),.

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design New 2d to 3d reconstruction of heterogeneous porous media via deep generative adversarial networks (gans),

Reference 1

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Observation 65ac5574-7c90-413e-b290-c9fd06cf6167 · outbound

This paper cites Diffusion model-based generation of three-dimensional multiphase pore-scale images,.

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design Diffusion model-based generation of three-dimensional multiphase pore-scale images,

Reference 2

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Observation 4dc0c3c1-74db-4a72-8922-7bb7a3e9c9f2 · outbound

This paper cites Controlled Latent Diffusion Models for 3D Porous Media Reconstruction.

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design Controlled Latent Diffusion Models for 3D Porous Media Reconstruction

Reference 3

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Observation 0ca84b29-3366-4cd3-914f-6636d4fa7a1b · outbound

This paper cites Microlib: A library of 3d microstructures generated from 2d micrographs using slicegan,.

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design Microlib: A library of 3d microstructures generated from 2d micrographs using slicegan,

Reference 4

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source=pdf_text observed=2026-07-31T19:30:19.742890Z digest=sha256:b9951fedc9388f228a6f73d04e9b9bb2a163e9790ab9edfee9803ac5720d2e71

Observation 12a46207-ddf4-4475-884a-e9c392545e0e · outbound

This paper cites Reconstruction of 3d random media from 2d images: generative adversarial learning approach,.

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design Reconstruction of 3d random media from 2d images: generative adversarial learning approach,

Reference 5

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Observation bfdbbdeb-b6f6-413a-9762-535751db8506 · outbound

This paper cites Generative adversarial networks for reconstruction of three-dimensional porous media from two-dimensional slices,.

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design Generative adversarial networks for reconstruction of three-dimensional porous media from two-dimensional slices,

Reference 6

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Observation 925dc26c-705e-40b5-a589-a23c6de00d3c · outbound

This paper cites Using Physics Informed Generative Adversarial Networks to Model 3D porous media.

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design Using Physics Informed Generative Adversarial Networks to Model 3D porous media

Reference 7

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Observation 67e334d7-dc7f-434c-badb-16ad793be191 · outbound

This paper cites Synthesizing controlled microstructures of porous media using generative adversarial networks and reinforcement learning,.

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design Synthesizing controlled microstructures of porous media using generative adversarial networks and reinforcement learning,

Reference 8

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Observation 8c330c36-19fe-4564-89e6-0db08fa49cae · outbound

This paper cites Conditional diffusion-based microstructure reconstruction,.

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design Conditional diffusion-based microstructure reconstruction,

Reference 9

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Observation 86c3a537-9c57-4a97-852e-918d85039a1a · outbound

This paper cites Da-vegan: Differentiably augmenting vae-gan for microstructure reconstruction from extremely small data sets,.

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design Da-vegan: Differentiably augmenting vae-gan for microstructure reconstruction from extremely small data sets,

Reference 10

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Observation ff116ec7-741f-4246-b1a0-f4e1bcfb34a0 · outbound

This paper cites Camox: A diffusion-based method with few-shot learning for environment-guided camouflage pattern generation,.

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design Camox: A diffusion-based method with few-shot learning for environment-guided camouflage pattern generation,

Reference 11

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Observation a65142af-b803-4d8d-8997-88f83a3bc3b3 · outbound

This paper cites Two-order deep learning for generalized synthesis of radiation patterns for antenna arrays,.

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design Two-order deep learning for generalized synthesis of radiation patterns for antenna arrays,

Reference 12

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Observation 43aaabc8-db9b-48b5-84e7-051a49d6028b · outbound

This paper cites Itf-vae: Variational auto-encoder using interpretable continuous time series features,.

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design Itf-vae: Variational auto-encoder using interpretable continuous time series features,

Reference 13

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Observation af77082f-8588-4e3b-833f-8cccc43d7f4f · outbound

This paper cites Deep generative modeling for mechanistic-based learning and design of metamaterial systems,.

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design Deep generative modeling for mechanistic-based learning and design of metamaterial systems,

Reference 14

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Observation 21f807bb-9bb9-4b7e-800e-52834688926c · outbound

This paper cites Deep learning-aided inverse design of porous metamaterials,.

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design Deep learning-aided inverse design of porous metamaterials,

Reference 15

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source=pdf_text observed=2026-07-31T19:30:20.382040Z digest=sha256:beea8abf41968008e0a76a7cd52b009372c056377edca0557c35ecc47577e71f

Observation d5a9055a-0e83-45c7-abff-a8c98ba02118 · outbound

This paper cites Pore-gnn: A graph neural network-based framework for predicting flow properties of porous media from micro-ct images,.

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design Pore-gnn: A graph neural network-based framework for predicting flow properties of porous media from micro-ct images,

Reference 16

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Observation 59722a78-57c1-4b26-80f2-d8b8ebb6ff02 · outbound

This paper cites Multiscale simulation of spatially correlated microstructure via a latent space representation,.

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design Multiscale simulation of spatially correlated microstructure via a latent space representation,

Reference 17

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Observation 450de71d-eace-47b8-a905-751a356085e1 · outbound

This paper cites Investigat- ing the impact of deformation on foam permeability through ct scans and the lattice-boltzmann method,.

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design Investigat- ing the impact of deformation on foam permeability through ct scans and the lattice-boltzmann method,

Reference 18

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Observation b654ea99-6270-470d-ae80-31db454b4d29 · outbound

This paper cites Synthetic Porous Microstructures: Automatic Design, Simulation, and Permeability Analysis.

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design Synthetic Porous Microstructures: Automatic Design, Simulation, and Permeability Analysis

Reference 19

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Observation 4794b816-1b12-4841-8a7f-6ed963d57b27 · outbound

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

Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design High- resolution image synthesis with latent diffusion models,

Reference 20

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Pith citing papers

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