Paper Citation Record · LEDGER

TorchRadon: Fast Differentiable Routines for Computed Tomography

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2009.14788.

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

pith.paper-citation-record.v1
2009.14788 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:26:25.671612Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:45:46.546621Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 74a982d6-b3cb-40cf-ac80-864ccdfce7ae · inbound

Solving Blind Inverse Problems: Adaptive Diffusion Models for Motion-corrected Sparse-view 4DCT cites this paper.

Solving Blind Inverse Problems: Adaptive Diffusion Models for Motion-corrected Sparse-view 4DCT TorchRadon: Fast Differentiable Routines for Computed Tomography

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T17:26:25.671612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94a102d1-aefa-4ebb-94bc-900862ef7536 · inbound

Ambient Denoising Diffusion Generative Adversarial Networks for Establishing Stochastic Object Models from Noisy Image Data cites this paper.

Ambient Denoising Diffusion Generative Adversarial Networks for Establishing Stochastic Object Models from Noisy Image Data TorchRadon: Fast Differentiable Routines for Computed Tomography

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T21:25:15.442285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3da8860e-081f-4a86-ab8a-e15b3090c660 · inbound

Unsupervised Self-Prior Embedding Neural Representation for Iterative Sparse-View CT Reconstruction cites this paper.

Unsupervised Self-Prior Embedding Neural Representation for Iterative Sparse-View CT Reconstruction TorchRadon: Fast Differentiable Routines for Computed Tomography

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T19:22:00.245464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00f49c67-61b4-41c8-a7dc-e1e451bcc691 · inbound

Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction cites this paper.

Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction TorchRadon: Fast Differentiable Routines for Computed Tomography

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T22:18:50.932653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a5c2615-33e3-41b3-9112-8933906f2e8b · inbound

Cross-view Generalized Diffusion Model for Sparse-view CT Reconstruction cites this paper.

Cross-view Generalized Diffusion Model for Sparse-view CT Reconstruction TorchRadon: Fast Differentiable Routines for Computed Tomography

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T20:36:19.115224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a59db25-2f09-44ec-b4ae-0e1481371b85 · inbound

SimAQ: Mitigating Experimental Artifacts in Soft X-Ray Tomography using Simulated Acquisitions cites this paper.

SimAQ: Mitigating Experimental Artifacts in Soft X-Ray Tomography using Simulated Acquisitions TorchRadon: Fast Differentiable Routines for Computed Tomography

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:50:43.461896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2cb4b221-cbb3-4b17-8df4-e74fc8207139 · inbound

Neighbor2Inverse: Self-Supervised Denoising for Low-Dose Region-of-Interest Phase Contrast CT cites this paper.

Neighbor2Inverse: Self-Supervised Denoising for Low-Dose Region-of-Interest Phase Contrast CT TorchRadon: Fast Differentiable Routines for Computed Tomography

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:46:41.035296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a1a06230-7b82-4ea8-ac96-ca217ac6c326 · inbound

FrequencyCT: Frequency Domain Self-supervised Low-dose CT Denoising cites this paper.

FrequencyCT: Frequency Domain Self-supervised Low-dose CT Denoising TorchRadon: Fast Differentiable Routines for Computed Tomography

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:06:35.884293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b0d48737-a500-40c5-ba12-3c3593848433 · inbound

FrequencyCT: Frequency Domain Self-supervised Low-dose CT Denoising cites this paper.

FrequencyCT: Frequency Domain Self-supervised Low-dose CT Denoising TorchRadon: Fast Differentiable Routines for Computed Tomography

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:45:46.548060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e1ec6286-8f82-4f15-a2f0-2d7b08f7cadc · inbound

Continuous 3-D Latent Diffusion for Medical Generation and Reconstruction cites this paper.

Continuous 3-D Latent Diffusion for Medical Generation and Reconstruction TorchRadon: Fast Differentiable Routines for Computed Tomography

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T20:54:16.246244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.