Paper Citation Record · LEDGER

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising

As of 22 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2608.10343.

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

pith.paper-citation-record.v1
2608.10343 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:30:09.551277Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

25 of 25 outbound references displayed

verified exact0
verified fuzzy14
unresolved11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 47a47f41-4f25-4265-bd41-78fbb45a6982 · outbound

This paper cites Ct super-resolution gan constrained by the identical, residual, and cycle learning ensemble (gan-circle),.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Ct super-resolution gan constrained by the identical, residual, and cycle learning ensemble (gan-circle),

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:30:09.945078Z

Source-reported events for the cited work

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Observation 965b18d7-8e49-4be8-9acf-b59d21b2b1d0 · outbound

This paper cites Low-dose ct denoising via convolutional neural network with an observer loss function,.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Low-dose ct denoising via convolutional neural network with an observer loss function,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:30:09.929449Z

Source-reported events for the cited work

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Observation fdf9f2f4-c072-4608-9660-6bd1d6afd8e4 · outbound

This paper cites Noise2Noise: Learning Image Restoration without Clean Data.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Noise2Noise: Learning Image Restoration without Clean Data

Reference 3

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Source-reported events for the cited work

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Observation bf0ba89a-5b8b-4be0-ba28-7abb8e5397fe · outbound

This paper cites Half2half: deep neural network based ct image denoising without independent reference data,.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Half2half: deep neural network based ct image denoising without independent reference data,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:30:09.913422Z

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Observation 4950a1e1-2b1b-42e3-9b61-5b99cff52e8e · outbound

This paper cites Simulating arbitrary dose levels and inde- pendent noise image pairs from a single ct scan,.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Simulating arbitrary dose levels and inde- pendent noise image pairs from a single ct scan,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:30:09.896950Z

Source-reported events for the cited work

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Observation c6a0a7cb-23ae-43cf-a4d1-0de5e05acf3b · outbound

This paper cites Benchmarking denoising algorithms with real photographs,.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Benchmarking denoising algorithms with real photographs,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:30:09.879807Z

Source-reported events for the cited work

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Observation f54a8145-f59a-4825-88fe-9052556bc42b · outbound

This paper cites Noise-augmented deep denois- ing: A method to boost ct image denoising networks,.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Noise-augmented deep denois- ing: A method to boost ct image denoising networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:30:09.861603Z

Source-reported events for the cited work

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Observation 554d6417-16eb-4b15-bf0f-d21239589d77 · outbound

This paper cites Moments and cumulants in the speci- fication of distributions,.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Moments and cumulants in the speci- fication of distributions,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:30:09.844898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9f3473bf-af23-46e2-8d17-920df4ac54f7 · outbound

This paper cites The noise power spectrum in ct with direct fan beam reconstruction,.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising The noise power spectrum in ct with direct fan beam reconstruction,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:30:09.827662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9b007a36-eb8d-4f55-ba25-7ea274a68266 · outbound

This paper cites Pixel-wise estimation of noise statistics on iterative ct reconstruction from a single scan,.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Pixel-wise estimation of noise statistics on iterative ct reconstruction from a single scan,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:30:09.810265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1aa93a02-31c4-4804-b380-7df0c1f9cc01 · outbound

This paper cites May denoising remove structures? how to reconstruct invariances of ct denoising algorithms,.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising May denoising remove structures? how to reconstruct invariances of ct denoising algorithms,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:30:09.792195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cfc715eb-9418-4bb6-8451-e35d9fe3b594 · outbound

This paper cites Bilateral filtering for gray and color images,.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Bilateral filtering for gray and color images,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T14:30:09.482565Z

Source-reported events for the cited work

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Observation bd995580-2abe-4c91-86c4-a8f41ce5ac83 · outbound

This paper cites Fast and high quality image denoising via malleable convolution,.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Fast and high quality image denoising via malleable convolution,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:30:09.765296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4399bbad-a320-462f-a65e-7ba6cfb98e91 · outbound

This paper cites Run, don’t walk: chasing higher flops for faster neural networks,.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Run, don’t walk: chasing higher flops for faster neural networks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T14:30:09.493173Z

Source-reported events for the cited work

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Observation 0006d743-0967-40e5-9967-b5f848c61bd2 · outbound

This paper cites Differentiable Forward Projector for X-ray Computed Tomography.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Differentiable Forward Projector for X-ray Computed Tomography

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T14:30:09.497891Z

Source-reported events for the cited work

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Observation 5684c1a5-11a1-47ee-80b8-93699ffbffb0 · outbound

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

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Tigre: a matlab- gpu toolbox for cbct image reconstruction,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:30:09.736399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 63b61e42-5405-4825-9ce3-deb3897bd120 · outbound

This paper cites Low-dose ct for the detection and classification of metastatic liver lesions: results of the 2016 low dose ct grand challenge,.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Low-dose ct for the detection and classification of metastatic liver lesions: results of the 2016 low dose ct grand challenge,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T14:30:09.508561Z

Source-reported events for the cited work

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Observation 7c0622bb-802c-4bd6-9796-01208aed233d · outbound

This paper cites Variance analysis of x-ray ct sinograms in the presence of electronic noise background,.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Variance analysis of x-ray ct sinograms in the presence of electronic noise background,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:30:09.709956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6f6467a1-8c77-440c-9a6d-3f46167417db · outbound

This paper cites Low-dose ct image and projec- tion dataset,.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Low-dose ct image and projec- tion dataset,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:30:09.693357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b7011bd7-94e5-4886-a8f9-4eaa7223c278 · outbound

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

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T14:30:09.524281Z

Source-reported events for the cited work

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Observation f3b30203-cffd-40f4-8542-435fa0d52277 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising U-net: Convolutional networks for biomedical image segmentation,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T14:30:09.529882Z

Source-reported events for the cited work

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Observation a0be642a-f616-411f-ad7d-eed00bf655b0 · outbound

This paper cites Simple baselines for image restoration,.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Simple baselines for image restoration,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T14:30:09.535149Z

Source-reported events for the cited work

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Observation 30f0ae36-7eaa-4cff-85b3-9fe09e5416da · outbound

This paper cites Uformer: A general u-shaped transformer for image restoration,.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Uformer: A general u-shaped transformer for image restoration,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T14:30:09.540659Z

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Unavailable: canonical work link unavailable.

Observation ad7de2dd-0539-4bdc-b2f7-10e5fbf5c082 · outbound

This paper cites sFRC for assessing hallucinations in medical image restoration.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising sFRC for assessing hallucinations in medical image restoration

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T14:30:09.545597Z

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Unavailable: canonical work link unavailable.

Observation 0d0f1776-13cc-4a79-9e72-3da94cfde5b8 · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution,.

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising Perceptual losses for real-time style transfer and super-resolution,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T14:30:09.551277Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.