Paper Citation Record · LEDGER

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction

As of 20 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2412.05322.

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

pith.paper-citation-record.v1
2412.05322 v1

Coverage vector

measured 54 of 54 reference resolution

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:20:11.870876Z

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

Source: pith, observed 2026-08-07T10:20:14.763131Z

Reference resolution

54 of 54 outbound references displayed

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External citation measurements

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Outbound references

Observation b9a56472-5767-4aa0-9e2e-e2df76afdf82 · outbound

This paper cites Learned primal-dual recon- struction.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Learned primal-dual recon- struction

Reference 1

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Observation 546d18cf-a0e7-43c4-a8f1-98a8cdafe47c · outbound

This paper cites Simultaneous alge- braic reconstruction technique (sart): a superior implemen- tation of the art algorithm.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Simultaneous alge- braic reconstruction technique (sart): a superior implemen- tation of the art algorithm

Reference 2

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Observation 197e097a-d216-4497-a4a3-95cda9af9a06 · outbound

This paper cites Lose the views: Limited angle ct reconstruction via implicit sino- gram completion.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Lose the views: Limited angle ct reconstruction via implicit sino- gram completion

Reference 3

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Observation 0ebbcdd7-2209-4ea6-b938-afe9537e9c19 · outbound

This paper cites The lung image database con- sortium (lidc) and image database resource initiative (idri): a completed reference database of lung nodules on ct scans.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction The lung image database con- sortium (lidc) and image database resource initiative (idri): a completed reference database of lung nodules on ct scans

Reference 4

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Observation 57001fa7-f85c-45fe-8dcb-a639516091bc · outbound

This paper cites Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields

Reference 5

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Observation 62725aba-9b30-4aca-b41d-353df6025c23 · outbound

This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Mip-nerf 360: Unbounded anti-aliased neural radiance fields

Reference 6

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Observation e24058b9-6d4a-4056-ab1a-4a13cc804600 · outbound

This paper cites Tigre: a matlab-gpu toolbox for cbct image reconstruction.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Tigre: a matlab-gpu toolbox for cbct image reconstruction

Reference 7

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Observation f8514065-ab9f-4162-9b78-9a85347795b1 · outbound

This paper cites Structure-aware sparse-view x-ray 3d re- construction.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Structure-aware sparse-view x-ray 3d re- construction

Reference 8

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Observation 5e812ce7-7f68-44a2-a12d-ef72417cd928 · outbound

This paper cites Tensorf: Tensorial radiance fields.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Tensorf: Tensorial radiance fields

Reference 9

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Observation d06723ad-5169-40b4-846b-ce4d1738260f · outbound

This paper cites Neurbf: A neural fields repre- sentation with adaptive radial basis functions.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Neurbf: A neural fields repre- sentation with adaptive radial basis functions

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.639103Z

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Observation f9ab9840-1273-4375-83d9-b70243a2a9ee · outbound

This paper cites Cunerf: Cube-based neural radiance field for zero-shot medical image arbitrary-scale super resolution.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Cunerf: Cube-based neural radiance field for zero-shot medical image arbitrary-scale super resolution

Reference 11

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Observation d39e8c89-6c29-42f2-a211-2837c69b4e0c · outbound

This paper cites Dynamic angle selection in x-ray computed tomography.Nu- clear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 324:17–24,.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Dynamic angle selection in x-ray computed tomography.Nu- clear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 324:17–24,

Reference 12

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Observation 1b008699-619e-49e5-9078-19e112ca163f · outbound

This paper cites Truncated hilbert transform and image recon- struction from limited tomographic data.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Truncated hilbert transform and image recon- struction from limited tomographic data

Reference 13

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Observation a5a8c349-a540-44cb-88d7-2e0a97892176 · outbound

This paper cites Prac- tical cone-beam algorithm.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Prac- tical cone-beam algorithm

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.588619Z

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Observation 2b0a7311-6aa6-4123-9d25-a5e48459d2f5 · outbound

This paper cites Application of a modified lsqr method for ct imaging reconstruction with low doses to patient.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Application of a modified lsqr method for ct imaging reconstruction with low doses to patient

Reference 15

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Observation c4675f4c-aef7-4dfa-9066-647a624d36a0 · outbound

This paper cites Learning shape templates with structured implicit functions.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Learning shape templates with structured implicit functions

Reference 16

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Observation 9371d5d6-2fa1-464c-9748-522155c97a88 · outbound

This paper cites Iterative methods for the three-dimensional reconstruction of an object from projections.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Iterative methods for the three-dimensional reconstruction of an object from projections

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.550031Z

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Observation db14e0a8-633f-4da3-9906-685adf6f20d5 · outbound

This paper cites Physics-informed Score-based Diffusion Model for Limited-angle Reconstruction of Cardiac Computed Tomography.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Physics-informed Score-based Diffusion Model for Limited-angle Reconstruction of Cardiac Computed Tomography

Reference 18

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Observation b0e05045-0cf9-4d66-9109-1e7e57c74d02 · outbound

This paper cites Fundamentals of computerized tomogra- phy: image reconstruction from projections.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Fundamentals of computerized tomogra- phy: image reconstruction from projections

Reference 19

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Observation 07e55b51-f98e-4450-8422-a9f09119936a · outbound

This paper cites Multilayer feedforward networks are universal approxima- tors.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Multilayer feedforward networks are universal approxima- tors

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.523797Z

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Observation a23a42c2-96d2-4639-bac1-609a75119d96 · outbound

This paper cites Umednerf: Uncertainty-aware single view vol- umetric rendering for medical neural radiance fields.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Umednerf: Uncertainty-aware single view vol- umetric rendering for medical neural radiance fields

Reference 21

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Observation 0538ebc1-7d89-4711-a31f-24fc5a4e6aba · outbound

This paper cites Reconstruction of 3d ct from a single x-ray 9 projection view using cvae-gan.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Reconstruction of 3d ct from a single x-ray 9 projection view using cvae-gan

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.500390Z

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Observation 3dc86718-f442-4bff-9fde-32dc8d79e212 · outbound

This paper cites Ray tracing volume densities.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Ray tracing volume densities

Reference 23

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Source-reported events for the cited work

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Observation d06a8b62-b2a7-45e7-ac91-50bbdf4fd938 · outbound

This paper cites Klacansky.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Klacansky

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.474876Z

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Observation ff675fa2-5455-4020-b4f8-2669eab97a65 · outbound

This paper cites Sparse-view cone beam ct reconstruction using data-consistent supervised and adver- sarial learning from scarce training data.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Sparse-view cone beam ct reconstruction using data-consistent supervised and adver- sarial learning from scarce training data

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.463438Z

Source-reported events for the cited work

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Observation f1c60e75-41e5-4090-996c-1d75a2f3276d · outbound

This paper cites Promising generative adversarial network based sinogram inpainting method for ultra-limited-angle computed tomography imag- ing.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Promising generative adversarial network based sinogram inpainting method for ultra-limited-angle computed tomography imag- ing

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.451452Z

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Observation e37b2a9d-d967-41f6-96ea-2d7bf3e6b32e · outbound

This paper cites Geometry-aware atten- uation learning for sparse-view cbct reconstruction.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Geometry-aware atten- uation learning for sparse-view cbct reconstruction

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.439527Z

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Observation 40e51e88-214a-4ca8-94f0-8c5a8f1da15e · outbound

This paper cites Neural Volumes: Learning Dynamic Renderable Volumes from Images.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T23:06:43.958922Z

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Observation aab8dbfb-4bb4-4552-a4f3-6ec8e16819c9 · outbound

This paper cites On the applica- tion of x-ray microtomography in the field of materials sci- ence.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction On the applica- tion of x-ray microtomography in the field of materials sci- ence

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.428174Z

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Observation 54ea7dd3-a156-4001-9d5e-929dc57f2741 · outbound

This paper cites Occupancy networks: Learning 3d reconstruction in function space.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Occupancy networks: Learning 3d reconstruction in function space

Reference 30

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Observation bceb492c-a1f0-4a51-a55a-9eb98b577c1f · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.404356Z

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Observation 1f71b6bf-7e0c-4b8b-ade0-41b69dc4681b · outbound

This paper cites Reduced deep convolutional activation fea- tures (r-decaf) in histopathology images to improve the clas- sification performance for breast cancer diagnosis.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Reduced deep convolutional activation fea- tures (r-decaf) in histopathology images to improve the clas- sification performance for breast cancer diagnosis

Reference 32

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Observation 3a46502f-9962-4a9c-902f-4a1e976d4420 · outbound

This paper cites Impact of network architecture and training strategy for photon counting ct data correction.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Impact of network architecture and training strategy for photon counting ct data correction

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.368715Z

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Observation 56ca2a81-1f6a-4508-a05a-c7e772e33365 · outbound

This paper cites Instant neural graphics primitives with a mul- tiresolution hash encoding.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Instant neural graphics primitives with a mul- tiresolution hash encoding

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.355925Z

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Observation fc550c19-dd33-41a5-9ba6-389c7428dc75 · outbound

This paper cites Deepsdf: Learning con- tinuous signed distance functions for shape representation.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Deepsdf: Learning con- tinuous signed distance functions for shape representation

Reference 35

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Observation 68e17a87-518e-4a6a-8d67-f5d8f086e1c9 · outbound

This paper cites D-nerf: Neural radiance fields for dynamic scenes.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction D-nerf: Neural radiance fields for dynamic scenes

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T23:06:43.991061Z

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Observation 0d0b7c90-e669-4a14-8568-93a84116b413 · outbound

This paper cites On the spectral bias of neural networks.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction On the spectral bias of neural networks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T23:06:43.994143Z

Source-reported events for the cited work

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Observation 0a681160-d4f1-4fb4-abc3-a6f460cff808 · outbound

This paper cites Dynamic cbct imaging using prior model-free spatiotemporal implicit neural representation (pmf-stinr).

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Dynamic cbct imaging using prior model-free spatiotemporal implicit neural representation (pmf-stinr)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.321003Z

Source-reported events for the cited work

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Observation 7e1353d9-cebb-473c-a058-816cff9438d9 · outbound

This paper cites Intelligent parameter tuning in optimization-based iterative ct reconstruction via deep rein- forcement learning.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Intelligent parameter tuning in optimization-based iterative ct reconstruction via deep rein- forcement learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.309642Z

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Observation f3c35b85-627a-44da-9390-e1d9341d2ab6 · outbound

This paper cites Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.296207Z

Source-reported events for the cited work

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Observation 918ffa59-5070-4718-90c5-77449afd4749 · outbound

This paper cites Advanced x-ray techniques in research and industry.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Advanced x-ray techniques in research and industry

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.280622Z

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Observation 17679bf6-3daf-47f2-ab42-ea46c007c8b8 · outbound

This paper cites Deep- voxels: Learning persistent 3d feature embeddings.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Deep- voxels: Learning persistent 3d feature embeddings

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.268246Z

Source-reported events for the cited work

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Observation bee3d358-485f-4dbe-820f-df9fce14d941 · outbound

This paper cites Block-nerf: Scalable large scene neural view synthesis.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Block-nerf: Scalable large scene neural view synthesis

Reference 43

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Observation f3a9bf1b-e749-40e9-a01f-c08e12b7baa1 · outbound

This paper cites Lomae: Simple streamlined low-level masked autoencoders for robust, gen- eralized, and interpretable low-dose ct denoising.IEEE Jour- nal of Biomedical and Health Informatics, 2024.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Lomae: Simple streamlined low-level masked autoencoders for robust, gen- eralized, and interpretable low-dose ct denoising.IEEE Jour- nal of Biomedical and Health Informatics, 2024

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.246685Z

Source-reported events for the cited work

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Observation bc1f3629-fb88-4d67-b153-9245f854ef23 · outbound

This paper cites NeRF--: Neural Radiance Fields Without Known Camera Parameters.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction NeRF--: Neural Radiance Fields Without Known Camera Parameters

Reference 45

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Observation 4cceaa70-982a-4777-ac26-1a91e28cf6e1 · outbound

This paper cites Sparse-view cbct reconstruction via weighted schatten p-norm minimization.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Sparse-view cbct reconstruction via weighted schatten p-norm minimization

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.234884Z

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Observation 28b477c6-24cf-43c7-82d4-0dc108e4d6a5 · outbound

This paper cites Fast model-based x-ray ct re- construction using spatially nonhomogeneous icd optimiza- tion.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Fast model-based x-ray ct re- construction using spatially nonhomogeneous icd optimiza- tion

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.224668Z

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Observation e6741831-563a-4c78-b220-8118714cf76a · outbound

This paper cites Super-resolution and sparse 10 view ct reconstruction.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Super-resolution and sparse 10 view ct reconstruction

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.213372Z

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Observation f4902b42-4bd6-43be-926b-e66eba14725d · outbound

This paper cites Intratomo: self-supervised learning- based tomography via sinogram synthesis and prediction.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Intratomo: self-supervised learning- based tomography via sinogram synthesis and prediction

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.197481Z

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Observation 5f62a136-cc23-486c-83c0-01e10cab76ee · outbound

This paper cites Medical image reconstruction.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Medical image reconstruction

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.178885Z

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Observation 7d79d1db-a04e-4dd8-9513-cbde07dcfffa · outbound

This paper cites Naf: neural attenuation fields for sparse-view cbct reconstruction.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Naf: neural attenuation fields for sparse-view cbct reconstruction

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T23:06:44.048745Z

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Observation c597b6e7-003e-419b-9d5b-8aff5f40ad92 · outbound

This paper cites Dynamic cone-beam ct reconstruction using spatial and temporal implicit neural representation learning (stinr).

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Dynamic cone-beam ct reconstruction using spatial and temporal implicit neural representation learning (stinr)

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.156339Z

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Observation 2106b547-ef05-4ff7-a77e-d570be2b8532 · outbound

This paper cites Gradient guided co-retention feature pyramid network for ldct image denois- ing.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Gradient guided co-retention feature pyramid network for ldct image denois- ing

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.140877Z

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Observation 6b98eae3-ac01-445a-9dcd-404c2d5d14e1 · outbound

This paper cites 4.3 of the main paper.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction 4.3 of the main paper

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:06:44.127245Z

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Pith citing papers

Observation 0857e57b-5ade-4094-9864-559e11c71cc4 · inbound

ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction cites this paper.

ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction $\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:20:14.832759Z

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