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Paper Citation Record · LEDGER

Signal denoising based on the Schr\"odinger operator's eigenspectrum and a curvature constraint

As of 16 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:1908.07758.

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

pith.paper-citation-record.v1
1908.07758 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:13:05.649359Z

measured 18 of 18 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

18 of 18 outbound references displayed

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  • verified fuzzy18
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4275cf26-43a7-4bec-a190-759774d5d7f8 · outbound

This paper cites Spectral data de-noising using semi- classical signal analysis: application to localized MRS.

Signal denoising based on the Schr\"odinger operator's eigenspectrum and a curvature constraint Spectral data de-noising using semi- classical signal analysis: application to localized MRS

Reference 1

Resolution
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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 a96fbc0a-88ef-4d75-9e8a-ae49b9a059ee · outbound

This paper cites Semi-classical signal analysis.

Signal denoising based on the Schr\"odinger operator's eigenspectrum and a curvature constraint Semi-classical signal analysis

Reference 2

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raw_fallback, observed 2026-08-14T12:13:05.947742Z

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 cff4fc67-4c5a-495e-b78d-b571c02c4f3e · outbound

This paper cites Arterial blood pressure analysis based on scattering transform II.

Signal denoising based on the Schr\"odinger operator's eigenspectrum and a curvature constraint Arterial blood pressure analysis based on scattering transform II

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-14T12:13:05.932883Z

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 b3b97161-f2f2-42b8-9f59-55aa57141260 · outbound

This paper cites Validation of a semi-classical signal analysis method for stroke volume variation assessment: A comparison with the PiCCO technique Ann Biomed Eng.

Signal denoising based on the Schr\"odinger operator's eigenspectrum and a curvature constraint Validation of a semi-classical signal analysis method for stroke volume variation assessment: A comparison with the PiCCO technique Ann Biomed Eng

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-14T12:13:05.918408Z

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=2026-08-14T12:13:05.579035Z digest=sha256:4b86418fcad8d4258a28b02550f1ce3e41190708433140003fb8b19169542f23

Observation 41551fa2-35ce-4241-882e-4c51a48f52ba · outbound

This paper cites Residual Water Suppression Using the Squared Eigenfunctions of the Schrodinger Operator.

Signal denoising based on the Schr\"odinger operator's eigenspectrum and a curvature constraint Residual Water Suppression Using the Squared Eigenfunctions of the Schrodinger Operator

Reference 5

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raw_fallback, observed 2026-08-14T12:13:05.901647Z

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=2026-08-14T12:13:05.584450Z digest=sha256:eb7ce7f3e91734389aea2ae374b2faa4a336bd5a8f5dc03efe3e976579add978

Observation 9350bdbe-3fdd-42a8-bbca-bebe8901a27f · outbound

This paper cites Feature Generation and Di- mensionality Reduction using the Discrete Spectrum of the Schrödinger Operator for Epileptic Spikes Detection.

Signal denoising based on the Schr\"odinger operator's eigenspectrum and a curvature constraint Feature Generation and Di- mensionality Reduction using the Discrete Spectrum of the Schrödinger Operator for Epileptic Spikes Detection

Reference 6

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raw_fallback, observed 2026-08-14T12:13:05.885182Z

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=2026-08-14T12:13:05.589476Z digest=sha256:e266720a9ed2258cdfccca262d75992e923550df8247c499852d19efe7655c67

Observation 99aa5a00-6ede-48f0-9e07-059e86ec0ffd · outbound

This paper cites Width Based Quantitation of Chromatographic Peaks: Principles and Principal Characteristics.

Signal denoising based on the Schr\"odinger operator's eigenspectrum and a curvature constraint Width Based Quantitation of Chromatographic Peaks: Principles and Principal Characteristics

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-14T12:13:05.869440Z

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=2026-08-14T12:13:05.595066Z digest=sha256:b778d4c132fef53981b9b57c287c23cccfb6dd3578661bd0e20627dee091ac85

Observation bab64f5f-a2c9-479c-aecf-951095031405 · outbound

This paper cites Hastie, R.

Signal denoising based on the Schr\"odinger operator's eigenspectrum and a curvature constraint Hastie, R

Reference 8

Resolution
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raw_fallback, observed 2026-08-14T12:13:05.852761Z

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=2026-08-14T12:13:05.599876Z digest=sha256:fe7c7652f49ecd773fd29f734f750f2998ae5083df0d07cd29bd3d6b2bebc712

Observation b895828a-ae92-4922-a871-5079035cd2f4 · outbound

This paper cites Denoising an image by denoising its curvature image.

Signal denoising based on the Schr\"odinger operator's eigenspectrum and a curvature constraint Denoising an image by denoising its curvature image

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:13:05.836941Z

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 4b6659e2-e323-464c-8a55-ac5f778e667a · outbound

This paper cites High frequency noise removal from ECG using moving average filters.

Signal denoising based on the Schr\"odinger operator's eigenspectrum and a curvature constraint High frequency noise removal from ECG using moving average filters

Reference 10

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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 37f5f664-7926-4aa7-89a0-775da03487a6 · outbound

This paper cites Review and comparison of smoothing algorithms for one- dimensional data noise reduction.

Signal denoising based on the Schr\"odinger operator's eigenspectrum and a curvature constraint Review and comparison of smoothing algorithms for one- dimensional data noise reduction

Reference 11

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raw_fallback, observed 2026-08-14T12:13:05.802912Z

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=2026-08-14T12:13:05.614568Z digest=sha256:05efba68dd113f0ab0246296c44846f018fc15d1ee99de4ada89f3f5ae73973e

Observation adae441c-b973-4748-87cb-cb18d5c5d424 · outbound

This paper cites Smoothing and Differentiation of Data by Simplified Least Squares Procedures.

Signal denoising based on the Schr\"odinger operator's eigenspectrum and a curvature constraint Smoothing and Differentiation of Data by Simplified Least Squares Procedures

Reference 12

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raw_fallback, observed 2026-08-14T12:13:05.786879Z

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 a22ef841-87ea-4f54-b186-2aeb8d3ad410 · outbound

This paper cites Application of adaptive Savitzky–Golay filter for EEG signal processing.

Signal denoising based on the Schr\"odinger operator's eigenspectrum and a curvature constraint Application of adaptive Savitzky–Golay filter for EEG signal processing

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-14T12:13:05.770007Z

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 464302ea-41db-437d-a1a7-89aa359f0c0e · outbound

This paper cites Nonlineardiffusionfilteringforpeak-preservingsmoothingofaspectrum signal.

Signal denoising based on the Schr\"odinger operator's eigenspectrum and a curvature constraint Nonlineardiffusionfilteringforpeak-preservingsmoothingofaspectrum signal

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-14T12:13:05.751912Z

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=2026-08-14T12:13:05.629892Z digest=sha256:b090dc80b647e386b7b309e47ea11caf3a07c9a6ad0d775b46620bc2d43b2d30

Observation 9a5236f3-4756-4e1e-a4db-c7295933f35f · outbound

This paper cites Optimizing Savitzky-Golay parameters for improving spectral resolution and quantification in infrared spectroscopy.

Signal denoising based on the Schr\"odinger operator's eigenspectrum and a curvature constraint Optimizing Savitzky-Golay parameters for improving spectral resolution and quantification in infrared spectroscopy

Reference 15

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raw_fallback, observed 2026-08-14T12:13:05.735974Z

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=2026-08-14T12:13:05.634371Z digest=sha256:9719de7cdd243e4a4efd840a860d93f6d459e9157cd7767257616bfb73ee2e6a

Observation 8a4b55c4-86fc-4cc0-9252-5cd5f61bc2b9 · outbound

This paper cites Optimal selection of wavelet basis function applied to ECG signal denoising.

Signal denoising based on the Schr\"odinger operator's eigenspectrum and a curvature constraint Optimal selection of wavelet basis function applied to ECG signal denoising

Reference 16

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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 cc4da954-877e-4eb8-8805-70c171baa8db · outbound

This paper cites PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.

Signal denoising based on the Schr\"odinger operator's eigenspectrum and a curvature constraint PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals

Reference 17

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raw_fallback, observed 2026-08-14T12:13:05.703914Z

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=2026-08-14T12:13:05.644837Z digest=sha256:fd7d52b5475ac01ced5f4bde6b1ebc388dc0ed92105b1658bd54c564ef90e8b2

Observation 20348e88-4a8c-41a4-8b19-c7f8b543f0ab · outbound

This paper cites Development of EMD-Based Denoising Methods Inspired by Wavelet Thresholding,.

Signal denoising based on the Schr\"odinger operator's eigenspectrum and a curvature constraint Development of EMD-Based Denoising Methods Inspired by Wavelet Thresholding,

Reference 18

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raw_fallback, observed 2026-08-14T12:13:05.687901Z

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=2026-08-14T12:13:05.649359Z digest=sha256:e40014a32a3523ba2df008ae44a5ea09859152d165729909f58ed02168d9d334

Pith citing papers

No inbound Pith citation observations are available.