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Paper Citation Record · LEDGER

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction

As of 7 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2509.14566.

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

pith.paper-citation-record.v1
2509.14566 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T16:51:24.655254Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

  • verified exact4
  • verified fuzzy31
  • unresolved1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2469360d-8dda-4d51-b327-6b746b26528d · outbound

This paper cites Enhancing radiological diagnosis: A comprehensive review of image quality assessment and optimization strategies.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Enhancing radiological diagnosis: A comprehensive review of image quality assessment and optimization strategies

Reference 1

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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.

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Observation c20bcfbf-db46-4e1c-8bca-849cb96c6bf8 · outbound

This paper cites An accurate iterative reconstruction algorithm for sparse objects: application to 3D blood vessel reconstruction from a limited number of projections.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction An accurate iterative reconstruction algorithm for sparse objects: application to 3D blood vessel reconstruction from a limited number of projections

Reference 2

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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.

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Observation 72bfcd9c-f27b-4a13-889f-89448f7a65f9 · outbound

This paper cites Image reconstruction for sparse-view CT and interior CT-introduction to compressed sensing and differentiated backprojection.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Image reconstruction for sparse-view CT and interior CT-introduction to compressed sensing and differentiated backprojection

Reference 3

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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.

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Observation 9b945f23-fdc7-4921-aada-d9439a761f9c · outbound

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

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization

Reference 4

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Source-reported events for the cited work

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

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Observation 7074625f-4207-41b1-b758-03a1cd162613 · outbound

This paper cites An iterative thresholding algorithm for linear inverse problems with a sparsity constraint.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction An iterative thresholding algorithm for linear inverse problems with a sparsity constraint

Reference 5

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Source-reported events for the cited work

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Observation b2fbaabe-2796-4dfb-bc08-fd7a0fe6f001 · outbound

This paper cites Plug-and-play priors for model based reconstruction.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Plug-and-play priors for model based reconstruction

Reference 6

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Source-reported events for the cited work

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Observation 50d4af79-cde2-4345-9746-d9cc46838170 · outbound

This paper cites Neural-network-based regularization methods for inverse problems in imaging.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Neural-network-based regularization methods for inverse problems in imaging

Reference 7

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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.

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Observation 1425c9f1-0bb0-430f-b7fd-8a11b07f7c57 · outbound

This paper cites Robust compressed sensing mri with deep generative priors.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Robust compressed sensing mri with deep generative priors

Reference 8

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Observation eb0efb7d-a03f-46e8-82bb-d2531fd7f565 · outbound

This paper cites Plug-and-play admm for image restoration: Fixed-point convergence and applications.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Plug-and-play admm for image restoration: Fixed-point convergence and applications

Reference 9

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Observation b1db1dcd-3363-4c3b-b921-c6afa1500caf · outbound

This paper cites Plug-and-play image restoration with deep denoiser prior.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Plug-and-play image restoration with deep denoiser prior

Reference 10

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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.

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Observation 9b51901f-bffb-45b8-9295-9bf6fa2798db · outbound

This paper cites Deep convolutional neural network for inverse problems in imaging.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Deep convolutional neural network for inverse problems in imaging

Reference 11

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Observation 9b6515ed-a000-472a-8845-86f0a8cd1076 · outbound

This paper cites Framing u-net via deep convolutional framelets: Application to sparse-view ct.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Framing u-net via deep convolutional framelets: Application to sparse-view ct

Reference 12

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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.

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Observation ed36d318-5491-4ec7-9364-f1404c765ed1 · outbound

This paper cites A sparse-view ct reconstruction method based on combination of densenet and deconvolution.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction A sparse-view ct reconstruction method based on combination of densenet and deconvolution

Reference 13

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Source-reported events for the cited work

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Observation 7f41240a-2d44-4a6a-9e6f-bc4d70666f0c · outbound

This paper cites Learn: Learned experts’ assessment- based reconstruction network for sparse-data ct.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Learn: Learned experts’ assessment- based reconstruction network for sparse-data ct

Reference 14

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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 4a05f82f-39bb-441c-b2ea-e4e60f6ee611 · outbound

This paper cites Drone: Dual-domain residual-based optimization network for sparse- view ct reconstruction.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Drone: Dual-domain residual-based optimization network for sparse- view ct reconstruction

Reference 15

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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 2b7d6a9a-1a51-4c41-8b77-4df91b5e4c85 · outbound

This paper cites Artifact removal using a hybrid-domain convolutional neural network for limited-angle computed tomography imaging.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Artifact removal using a hybrid-domain convolutional neural network for limited-angle computed tomography imaging

Reference 16

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Observation f7455033-f492-4a8f-9341-8ad0f0101223 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Deep unsupervised learning using nonequilibrium thermodynamics

Reference 17

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Observation 04790081-f587-40e1-a1dd-32e449016d6d · outbound

This paper cites Denoising diffusion probabilistic models.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Denoising diffusion probabilistic models

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 e1e61f2d-16ba-403c-ae98-cb8f8753620b · outbound

This paper cites Denoising diffusion implicit models.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Denoising diffusion implicit models

Reference 19

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raw_fallback, observed 2026-05-18T16:51:38.423499Z

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.

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Observation abbd9500-acda-4c45-9bc3-af10469c52b9 · outbound

This paper cites Available: https://openreview.net/forum?id=St1giarCHLP.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Available: https://openreview.net/forum?id=St1giarCHLP

Reference 20

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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 891eaa8f-bafc-485f-8633-2a9ae281559b · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Score-based generative modeling through stochastic differential equations

Reference 21

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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 70a4652a-648f-4291-bd25-628b9a957de2 · outbound

This paper cites Cddip: Constrained diffusion-driven deep image prior for seismic data reconstruction.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Cddip: Constrained diffusion-driven deep image prior for seismic data reconstruction

Reference 22

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raw_fallback, observed 2026-05-18T16:51:38.455263Z

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

source=pdf_text observed=2026-05-18T16:51:24.655254Z digest=sha256:5d46fee4ee5b97707093fa5d3e9da390e1bc5068d4cdab91bf8b8f65ba8dec46

Observation ed3cdec5-c081-458d-b936-41eeaadb5813 · outbound

This paper cites Constrained diffusion for seismic data reconstruction using deep image and generative prior.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Constrained diffusion for seismic data reconstruction using deep image and generative prior

Reference 23

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Observation 2e3034b4-c68c-45b2-a138-5b3bd518d1fb · outbound

This paper cites Score-based diffusion models for accelerated mri.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Score-based diffusion models for accelerated mri

Reference 24

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raw_fallback, observed 2026-05-18T16:51:38.415728Z

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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 e9bc8934-f2dd-45eb-834b-263d46fdf67e · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 25

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local_arxiv, observed 2026-05-18T16:51:38.180689Z

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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 f43efc68-5520-4062-b51d-3a2f6fdb4d65 · outbound

This paper cites Denoising diffusion models for plug-and-play image restoration.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Denoising diffusion models for plug-and-play image restoration

Reference 26

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raw_fallback, observed 2026-05-18T16:51:38.472564Z

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.

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Observation bbde79f8-fa9c-4604-b52b-0c9f1e40af36 · outbound

This paper cites Denoising diffusion restoration models.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Denoising diffusion restoration models

Reference 27

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verified exact
arxiv_id, observed 2026-05-18T16:51:38.168856Z

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.

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Observation 66db85e7-ba80-4ef5-acd5-b150098e5de3 · outbound

This paper cites Solving inverse problems with latent diffusion models via hard data consistency.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Solving inverse problems with latent diffusion models via hard data consistency

Reference 28

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raw_fallback, observed 2026-05-18T16:51:38.419157Z

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=2026-05-18T16:51:24.655254Z digest=sha256:cd8f429e598411334c11fdd67cd3777fed76f8253a71e0455b901d1afacd31a0

Observation 87f5a65f-e021-4edb-ade0-486c69d36b2f · outbound

This paper cites Deep Data Consistency: a Fast and Robust Diffusion Model-based Solver for Inverse Problems.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Deep Data Consistency: a Fast and Robust Diffusion Model-based Solver for Inverse Problems

Reference 29

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arxiv_id, observed 2026-05-18T16:51:38.162572Z

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=2026-05-18T16:51:24.655254Z digest=sha256:204712fac75ba66e449ab9795a37fbcd40dca2fdeb7d97c6781b7a3c9cde7697

Observation 0061d916-3103-4042-a7df-69ccde55354c · outbound

This paper cites The perception-distortion tradeoff.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction The perception-distortion tradeoff

Reference 30

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raw_fallback, observed 2026-05-18T16:51:38.408329Z

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=2026-05-18T16:51:24.655254Z digest=sha256:be2e758515974df89d382bae44625cfb33cbe7d99c5b27e8a588a6019f07c760

Observation d89d546c-6787-4665-8ae7-feb00ccda552 · outbound

This paper cites Plug-and-play unplugged: Optimization-free reconstruction using consensus equilibrium.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Plug-and-play unplugged: Optimization-free reconstruction using consensus equilibrium

Reference 31

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raw_fallback, observed 2026-05-18T16:51:38.376586Z

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=2026-05-18T16:51:24.655254Z digest=sha256:42c104239307c592241d02fc14fd5e68ccc5381860212dd342e4cdb36434bf11

Observation 08d67302-f4dc-498d-9d52-e25e290c858d · outbound

This paper cites an unresolved cited work.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Unresolved cited work

Reference 32

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unresolved
raw_fallback, observed 2026-05-18T16:51:38.380488Z

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=2026-05-18T16:51:24.655254Z digest=sha256:8a44cd95d06eb399dd79ddff3032de7ed160358692807e2adff500493412cb13

Observation 6d7bab03-c948-4d62-86b0-376a0fbc867b · outbound

This paper cites A consensus equilibrium approach for 3-d land seismic shots recovery.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction A consensus equilibrium approach for 3-d land seismic shots recovery

Reference 33

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raw_fallback, observed 2026-05-18T16:51:38.447057Z

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=2026-05-18T16:51:24.655254Z digest=sha256:91eb2146070a74994109a9325198d4750c410efddeab4fbc2984602989b0abc5

Observation 79fbf915-ebd0-4299-ba29-f1070c3aedff · outbound

This paper cites Decoupled weight decay regularization.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Decoupled weight decay regularization

Reference 34

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raw_fallback, observed 2026-05-18T16:51:38.412334Z

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=2026-05-18T16:51:24.655254Z digest=sha256:da3eeb5f93a872cc9105e93d56ab1a005d73f66eab0d4f3dd51a0c1cdc8c20d2

Observation 6585a9ae-7da1-460c-94c6-63ea8db48e2c · outbound

This paper cites LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:51:38.442915Z

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=2026-05-18T16:51:24.655254Z digest=sha256:de0460f136129e0d4e4d8fb78c27e725bb48af75a44d69ec4eda1e2f885a234f

Observation 777b2e8d-5db3-45f3-a157-05898e258f19 · outbound

This paper cites Image reconstruction: Part 1–understanding filtered back projection, noise and image acquisition.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Image reconstruction: Part 1–understanding filtered back projection, noise and image acquisition

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:51:38.404635Z

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=2026-05-18T16:51:24.655254Z digest=sha256:30b41058c0c0e34d938533d996bae78d312bfab289819624f196a0a51a7a01d5

Observation 4db8b5e5-25b7-4e7c-9020-551a34340cfb · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.

DICE: Diffusion Consensus Equilibrium for Sparse-view CT Reconstruction Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T16:51:38.460677Z

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=2026-05-18T16:51:24.655254Z digest=sha256:cca8b62905d821a5e22ab97ad0a3de176e0987fe0f2a93879ea93673c966b656

Pith citing papers

No inbound Pith citation observations are available.