Pith. sign in

Paper Citation Record · LEDGER

Investigating the Impact of Various Loss Functions and Learnable Wiener Filter for Laparoscopic Image Desmoking

As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2509.09849.

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

pith.paper-citation-record.v1
2509.09849 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:38:56.225282Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d0cdde82-6bbb-4775-927a-063475c3f770 · outbound

This paper cites Analysis of surgical smoke produced by various energy- based instruments and effect on laparoscopic visibility.

Investigating the Impact of Various Loss Functions and Learnable Wiener Filter for Laparoscopic Image Desmoking Analysis of surgical smoke produced by various energy- based instruments and effect on laparoscopic visibility

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T18:38:56.156602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:38:56.156602Z digest=sha256:574ba136e3e7467dff1b69bd16a1cffb32b2f20f09057357d5a3a0d232f80a28

Observation bffe5a11-d4e1-4144-857f-182e54561e95 · outbound

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

Investigating the Impact of Various Loss Functions and Learnable Wiener Filter for Laparoscopic Image Desmoking Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T18:38:56.161427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:38:56.161427Z digest=sha256:6abee45c721c932d920b1138d817a4fd2eaf4e4e8b2a6f7b55d70f3827aedeff

Observation e1bb6ad6-b354-47fd-96a0-55a83ffec794 · outbound

This paper cites Laparoscopic Image Desmoking Using the U-Net with New Loss Function and Integrated Differentiable Wiener Filter.

Investigating the Impact of Various Loss Functions and Learnable Wiener Filter for Laparoscopic Image Desmoking Laparoscopic Image Desmoking Using the U-Net with New Loss Function and Integrated Differentiable Wiener Filter

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T18:38:56.166142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:38:56.166142Z digest=sha256:a90e1226f244480e67e7b4171b3a031b67c6c33ac05316bb3bdc3f2da74f29c5

Observation 2512aad1-455d-49ec-b4eb-f1085ff44709 · outbound

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

Investigating the Impact of Various Loss Functions and Learnable Wiener Filter for Laparoscopic Image Desmoking U-net: Convolutional networks for biomedical image segmentation,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T18:38:56.171051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:38:56.171051Z digest=sha256:a250298d62eb8db45f8064dc3137d3a01f90da4d7a21ffc0dfb04454cc585b32

Observation 9a4ccd63-3821-44f2-acb7-d28bea27d5a8 · outbound

This paper cites Loss functions for image restoration with neural networks,.

Investigating the Impact of Various Loss Functions and Learnable Wiener Filter for Laparoscopic Image Desmoking Loss functions for image restoration with neural networks,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T18:38:56.177853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:38:56.177853Z digest=sha256:64e4b7c41aa78a1e54332841db81a7e55905f16d757a2cfe97b5936d7022826d

Observation 98c2e458-a0d9-4f6c-bc03-455865c899d8 · outbound

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

Investigating the Impact of Various Loss Functions and Learnable Wiener Filter for Laparoscopic Image Desmoking Perceptual losses for real-time style transfer and super-resolution,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T18:38:56.183867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:38:56.183867Z digest=sha256:7bc93d298300955e0a06a5e3bb42a283b545b12682447c02c0a412691e1ff44d

Observation c31638d5-0c2d-46aa-b597-3aed69d60261 · outbound

This paper cites Pushing the limits of the wiener filter in image denoising.

Investigating the Impact of Various Loss Functions and Learnable Wiener Filter for Laparoscopic Image Desmoking Pushing the limits of the wiener filter in image denoising

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T18:38:56.189729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:38:56.189729Z digest=sha256:eb75292ce4b2f6c72a37bb50702e49eb3b49947bb4bfc8ba7001b341ecbc32bc

Observation 7a73e1f0-af1a-4297-a4da-5f1b4654bfd1 · outbound

This paper cites The development of the CIE 2000 colour-difference formula: CIEDE2000.

Investigating the Impact of Various Loss Functions and Learnable Wiener Filter for Laparoscopic Image Desmoking The development of the CIE 2000 colour-difference formula: CIEDE2000

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T18:38:56.194474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:38:56.194474Z digest=sha256:98d2e0115d24601512a5c307ef2f793e097446f1cdad599a7bab2e06f9f8064c

Observation ea30a7c2-32f3-4014-ada3-ad3c91556c50 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

Investigating the Impact of Various Loss Functions and Learnable Wiener Filter for Laparoscopic Image Desmoking Image quality assessment: from error visibility to structural similarity

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T18:38:56.199274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:38:56.199274Z digest=sha256:4e4b86dd44f31711e9f8ea1bfc28e063a10ad5203dc4670b4700afaf464db771

Observation d4d11366-5996-40cf-81aa-cee4ec5506f8 · outbound

This paper cites Understanding surgical smoke in laparoscopy through Lagrangian Coherent Structures.

Investigating the Impact of Various Loss Functions and Learnable Wiener Filter for Laparoscopic Image Desmoking Understanding surgical smoke in laparoscopy through Lagrangian Coherent Structures

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T18:38:56.203272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:38:56.203272Z digest=sha256:d61ba14d1250e60929be02c921b054e58f33d5fd9e384615abbb703148d1e646

Observation 8485cc6a-8d09-484a-8ca7-3e4d6a185910 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Investigating the Impact of Various Loss Functions and Learnable Wiener Filter for Laparoscopic Image Desmoking Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T18:38:56.208351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:38:56.208351Z digest=sha256:f1bdfc893c267e6089a7c44f401d99f30680f57c382d6233d4a988e8bf662dbb

Observation 5c23f4aa-073d-4677-887f-0c5603810bd0 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Investigating the Impact of Various Loss Functions and Learnable Wiener Filter for Laparoscopic Image Desmoking Imagenet: A large-scale hierarchical image database

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T18:38:56.214238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:38:56.214238Z digest=sha256:38bf62a47b0f0f70aeb6343ee5c4771c8a730cea3b28892b719ad21fdcae108c

Observation 07edae16-c262-4fc9-88e4-12c7869a013f · outbound

This paper cites Imagequality metrics: PSNR vs. SSIM.

Investigating the Impact of Various Loss Functions and Learnable Wiener Filter for Laparoscopic Image Desmoking Imagequality metrics: PSNR vs. SSIM

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T18:38:56.220837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:38:56.220837Z digest=sha256:2891cbe4872efe29bd8915ff9ef5cd2a9374a426ec282896b31d1d80fd878d8b

Observation 07cca713-c290-4ffb-89a3-177d1c2913cf · outbound

This paper cites Comparison of the cielab and ciede2000 color difference formulas,.

Investigating the Impact of Various Loss Functions and Learnable Wiener Filter for Laparoscopic Image Desmoking Comparison of the cielab and ciede2000 color difference formulas,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T18:38:56.225282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:38:56.225282Z digest=sha256:86c7eb58abe2835154ed0932ed6f80e23e21054b785e820c15c8f232903178a8

Pith citing papers

No inbound Pith citation observations are available.