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Paper Citation Record · LEDGER

Learnable Total Variation with Lambda Mapping for Low-Dose CT Denoising

As of 12 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2511.10500.

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

pith.paper-citation-record.v1
2511.10500 v3

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:27:23.546117Z

measured 12 of 12 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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.

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Reference resolution

12 of 12 outbound references displayed

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External citation measurements

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Outbound references

Observation fe58283e-8858-4a79-9c2d-f9f29a98e60a · outbound

This paper cites Nonlinear total vari- ation based noise removal algorithms,.

Learnable Total Variation with Lambda Mapping for Low-Dose CT Denoising Nonlinear total vari- ation based noise removal algorithms,

Reference 1

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Observation e40dc936-6ddb-4e40-bea1-0ce106d274d2 · outbound

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

Learnable Total Variation with Lambda Mapping for Low-Dose CT Denoising Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising,

Reference 2

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Observation dcc0ef45-d7ec-4004-b62e-a160f3cf0aed · outbound

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

Learnable Total Variation with Lambda Mapping for Low-Dose CT Denoising Deep convolutional neural network for inverse problems in imaging,

Reference 3

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Observation c9b99dfc-c3ef-4541-9f5f-b05fafe6e208 · outbound

This paper cites A first-order primal-dual algorithm for convex problems with applications to imaging,.

Learnable Total Variation with Lambda Mapping for Low-Dose CT Denoising A first-order primal-dual algorithm for convex problems with applications to imaging,

Reference 4

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Observation 5e56fdfb-8409-4e99-9a91-1edb5b41d706 · outbound

This paper cites Adaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction,.

Learnable Total Variation with Lambda Mapping for Low-Dose CT Denoising Adaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction,

Reference 5

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Observation a7d8fcbc-66b9-4c92-a21d-12dc578c240b · outbound

This paper cites Low-dose ct with a residual encoder- decoder convolutional neural network,.

Learnable Total Variation with Lambda Mapping for Low-Dose CT Denoising Low-dose ct with a residual encoder- decoder convolutional neural network,

Reference 6

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Observation 9c7ccaed-8ca6-4fa6-9765-7faccf3ce34d · outbound

This paper cites Learned primal-dual reconstruction,.

Learnable Total Variation with Lambda Mapping for Low-Dose CT Denoising Learned primal-dual reconstruction,

Reference 7

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Observation 45e766a5-6bed-4d03-a7ea-57a2bea1903d · outbound

This paper cites Modl: Model- based deep learning architecture for inverse problems,.

Learnable Total Variation with Lambda Mapping for Low-Dose CT Denoising Modl: Model- based deep learning architecture for inverse problems,

Reference 8

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source=pdf_text observed=2026-08-03T22:27:23.531558Z digest=sha256:1e95fcbe5b58b98e69a604df474a65f167a1103a0eaecc9ce37ed0a58cbe6913

Observation 4193bb81-5910-4dd8-93d1-7c7d94c5f8d6 · outbound

This paper cites Learning regularization parameter-maps for variational image reconstruction using deep neural networks and algorithm unrolling,.

Learnable Total Variation with Lambda Mapping for Low-Dose CT Denoising Learning regularization parameter-maps for variational image reconstruction using deep neural networks and algorithm unrolling,

Reference 9

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Observation 12a1f75a-91d4-487c-9780-129b6120acdc · outbound

This paper cites Adaptive Weighted Total Variation boosted by learning techniques in few-view tomographic imaging.

Learnable Total Variation with Lambda Mapping for Low-Dose CT Denoising Adaptive Weighted Total Variation boosted by learning techniques in few-view tomographic imaging

Reference 10

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Observation 896f90c3-334b-46a3-8bb8-d098226a7edb · outbound

This paper cites Deeplesion: automated mining of large-scale lesion annotations and univer- sal lesion detection with deep learning,.

Learnable Total Variation with Lambda Mapping for Low-Dose CT Denoising Deeplesion: automated mining of large-scale lesion annotations and univer- sal lesion detection with deep learning,

Reference 11

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Observation bc7ba6de-a617-4eb4-a60c-faabd85dd70d · outbound

This paper cites Lodopab-ct: a benchmark dataset for low-dose computed to- mography reconstruction,.

Learnable Total Variation with Lambda Mapping for Low-Dose CT Denoising Lodopab-ct: a benchmark dataset for low-dose computed to- mography reconstruction,

Reference 12

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Pith citing papers

No inbound Pith citation observations are available.