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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 2026-08-16T06:30:59.297886+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

  • verified exact0
  • verified fuzzy23
  • unresolved1
  • parse uncertain0
  • malformed identifier0
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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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

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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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

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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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:23.098755Z digest=sha256:92886ef39ca9b7c1ef93da2bbd00c543203f1acd7084b717cca533aad9400d6e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:23.104521Z digest=sha256:10ff2ffe328e5e548c8cf67029ce9d72ffa960e5b0387e2dbfd254cd1965d63f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:23.110241Z digest=sha256:6022d087c2fe6eefcad9392ab2b86de0d03a24bb64840fb136f550df98a18f5d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:23.116278Z digest=sha256:c1d169c6418bc33e8649a3fdd9675ff95a4dd2ab616e83e15f18aa478c016b30

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

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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 2026-08-16T06:30:59.297886+00:00.

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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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:23.126099Z digest=sha256:af488367ee65e58683b4f48e1800e5bc0698736d1c52b3bab1d30a5926f77582

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 2026-08-16T06:30:59.297886+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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
raw_fallback, observed 2026-08-14T12:55:23.439415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:23.148818Z digest=sha256:5eb13dd739738dae7c6f9ef6039b8d183b1b8958e6073454255001aff8169d5b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:23.154874Z digest=sha256:494e5ea97d11f19394f47e7c67ea8e23fa49ce778ef0601e3347a0bb6e770b2f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:55:23.404606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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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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 2026-08-16T06:30:59.297886+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

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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 2026-08-16T06:30:59.297886+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

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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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:23.187537Z digest=sha256:c4378c5fc88e1dca42f8c73fcd27c706a29e6326e66c7cb6c320a92b8d021b9e

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:23.192407Z digest=sha256:01c63ef7401aa7661868c4e488f47af6c2584296db6993b65b7722e2c7833f10

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:23.198073Z digest=sha256:95c99ab25e4acdfc6870d7cbc376f946e85776b286a1372d6a43b9d402c4f4e0

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:55:23.203240Z digest=sha256:d418258949a1634d2ea5d238bda27d54e6c14fb3bae6e9f3ec10c58a5f1cb5f0

Pith citing papers

No inbound Pith citation observations are available.