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Paper Citation Record · LEDGER

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context

As of 16 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:1908.06307.

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

pith.paper-citation-record.v1
1908.06307 v4

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:55:23.203240Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

24 of 24 outbound references displayed

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  • verified fuzzy23
  • unresolved1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 181722d0-d5b0-493f-8d00-b956cf65a617 · outbound

This paper cites Spatially variant noise estimation in MRI: A homomorphic approach.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Spatially variant noise estimation in MRI: A homomorphic approach

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 262258b9-4c85-4e1e-b5e4-ff205fc7a0df · outbound

This paper cites Visual objects in context.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Visual objects in context

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e46fbf57-a727-4bb6-90e9-d5bc1c3351a7 · outbound

This paper cites Fundamental relationship between bilateral filtering, adaptive smoothing, and the nonlinear diffusion equation.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Fundamental relationship between bilateral filtering, adaptive smoothing, and the nonlinear diffusion equation

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:23.631780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7383034b-b8ab-4d97-9413-6b46c1c5af4b · outbound

This paper cites Fast filter transform for image processing.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Fast filter transform for image processing

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:55:23.092240Z digest=sha256:2f6a1cd55eea79fe73e5f5479a0797155369a743c811850b343fdb6157de128d

Observation de3ee6e7-85a2-49d2-9c46-918704009aef · outbound

This paper cites Denoising of infant diffusion MRI data via graph framelet matching in x-q space.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Denoising of infant diffusion MRI data via graph framelet matching in x-q space

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:23.597617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:55:23.098755Z digest=sha256:7596ce19c2f7ccf3270f5d385051416aadc7e2f105d984fafa1ce1158c0290c0

Observation 8036db81-0dcb-40f3-be0f-1f798c84961d · outbound

This paper cites Real diffusion-weighted MRI enabling true signal averaging and increased diffusion contrast.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Real diffusion-weighted MRI enabling true signal averaging and increased diffusion contrast

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:23.580185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:55:23.104521Z digest=sha256:8fbda226b6fa6424645fb254fff4fe58fa35a777ec66087fee3b66b3f86f40d8

Observation fcdbd3fa-9ce7-4def-9779-7ab23ce08621 · outbound

This paper cites Neurocognitive architecture of working memory.Neuron 88, 33–46.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Neurocognitive architecture of working memory.Neuron 88, 33–46

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-14T12:55:23.563142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:55:23.110241Z digest=sha256:85cc7b93f73a5c72da001f4e20d361c83056a9715d34d870cc1d09e554a8addd

Observation 6030c41c-1fdd-4584-b78e-e34c346944b6 · outbound

This paper cites The perceptual root of object-based storage: An interactive model of perception and visual working memory.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context The perceptual root of object-based storage: An interactive model of perception and visual working memory

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:23.544881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:55:23.116278Z digest=sha256:995d42cd335d5240ad64c717e831677299d3636ef24bbd1e4b767267cd69cb23

Observation cc806a29-a9ed-49c3-b401-e579bd8227c9 · outbound

This paper cites Organization principles in visual working memory: Evidence from sequential stimulus display.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Organization principles in visual working memory: Evidence from sequential stimulus display

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:23.526328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:55:23.121605Z digest=sha256:7669f16b5cd7178915df2a19a0e689f658af5f2f985c09799072e9a74bc6e179

Observation beb7611b-7b3b-4b86-b8fc-eb8795962ae2 · outbound

This paper cites Curvature filters efficiently reduce certain variational energies.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Curvature filters efficiently reduce certain variational energies

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:23.511545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cadf23f9-433a-4094-8f11-f68e856e784b · outbound

This paper cites MRI simulation-based evaluation of image-processing and classification methods.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context MRI simulation-based evaluation of image-processing and classification methods

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:55:23.130434Z digest=sha256:00c474c4eeea722dc7808aa298da8e488fa40f26d01c248a3cff27af2dd86c15

Observation d6c0c5d2-366b-43e4-95cb-b831a810d873 · outbound

This paper cites Normalized euclidean super-pixels for medical image segmentation, in: International Conference on Intelligent Computing, Springer.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Normalized euclidean super-pixels for medical image segmentation, in: International Conference on Intelligent Computing, Springer

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-14T12:55:23.476576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f3f29ada-5e01-4518-b824-c33486fbbe70 · outbound

This paper cites Revealing detail along the visual hierarchy: Neural clustering preserves acuity from V1 to V4.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Revealing detail along the visual hierarchy: Neural clustering preserves acuity from V1 to V4

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation bb9a8588-2984-4c4d-a6ec-a72e3945a3d2 · outbound

This paper cites an unresolved cited work.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Unresolved cited work

Reference 14

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:55:23.148818Z digest=sha256:07f0dc91046034cb8aeb0f6a4ade4bd41cdddeae0cf767fd25974bbee632a53c

Observation 63c4cc10-5769-4d21-be61-dc16a53856ca · outbound

This paper cites Edge preserving smoothing.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Edge preserving smoothing

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f0fb32fa-034c-4777-ba85-ba89039afefe · outbound

This paper cites Scale-space and edge detection using anisotropic diffusion.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Scale-space and edge detection using anisotropic diffusion

Reference 16

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 848fb7eb-9b04-4dce-ad3e-e3cb305899e6 · outbound

This paper cites The Gestalt principle of similarity benefits visual working memory.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context The Gestalt principle of similarity benefits visual working memory

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-14T12:55:23.385671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4b5972d1-3b4c-462b-837b-0b786f505006 · outbound

This paper cites Noise floor removal via phase correction of complex diffusion-weighted images: Influence on DTI and Q-space metrics, in: MICCAI Workshop on Computational Diffusion MRI, pp.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Noise floor removal via phase correction of complex diffusion-weighted images: Influence on DTI and Q-space metrics, in: MICCAI Workshop on Computational Diffusion MRI, pp

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-14T12:55:23.368400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ba0ac33b-60d9-48e8-9e2e-3921510918b1 · outbound

This paper cites Nonlinear total variation based noise removal algorithms.Physica D: Nonlinear Phenomena 60, 259–268.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Nonlinear total variation based noise removal algorithms.Physica D: Nonlinear Phenomena 60, 259–268

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:23.348341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d43eca30-aa81-447d-a87a-f61f5349840f · outbound

This paper cites Normalized cuts and image segmentation.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Normalized cuts and image segmentation

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:23.328335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b64e71d7-22bd-47d3-972e-7d55896e1ad0 · outbound

This paper cites Neuromodulation of attention.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Neuromodulation of attention

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-14T12:55:23.311789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a683faad-cd04-41a2-8219-2ef8b448116b · outbound

This paper cites Bilateral filtering for gray and color images, in: Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Bilateral filtering for gray and color images, in: Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:23.290087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:55:23.192407Z digest=sha256:5dc04815f9cc0aa8a1f641e2e82b5b5a1b089c842398ba9bc9f98e743f625182

Observation d9316c2d-8d32-4be9-9675-56535006f634 · outbound

This paper cites Denoising of diffusion MRI using random matrix theory.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Denoising of diffusion MRI using random matrix theory

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-14T12:55:23.271724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:55:23.198073Z digest=sha256:1df47c8df2a6b06263bb70d3068804e6c459425d98240b632200b693dec8749d

Observation c7fef377-250e-4e41-aa04-8ce36dda503b · outbound

This paper cites Joint contour filtering.

Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context Joint contour filtering

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-14T12:55:23.248704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:55:23.203240Z digest=sha256:526cba34bf2f861647f09c6648fd2b1b11454f336b533f59ae17c12da7b8f60f

Pith citing papers

No inbound Pith citation observations are available.