Pith. sign in

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 2026-08-15T06:32:42.880941+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

18 of 18 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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
verified fuzzy
raw_fallback, observed 2026-08-14T12:13:05.962374Z

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=2026-08-14T12:13:05.563200Z digest=sha256:ab774f5e671e94e9e31769ab2b2160b8ec8a784f422d71c6155b1bf8cbf11ad0

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:13:05.568449Z digest=sha256:c56b1a0f089d8174c901ba19b04b94310cb496225de3a860cf8b4f936e3bde72

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:13:05.573280Z digest=sha256:4b30f6f3764467e43077ce6d589f969779d5fa73d8f9439644eab36e2bb876e0

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:13:05.579035Z digest=sha256:73c28254a97e255af4a9f9e56eef565ffecfcc3e150923afd274e1f88a7ef48c

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:13:05.584450Z digest=sha256:758244aab912496e26bb0ff5e56ec809ff339631e68e7da132854115c2bfde6b

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:13:05.589476Z digest=sha256:65b19194993d992d6932efae903f68456cbfc41a2aeae5357ff0e1abf1667911

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:13:05.595066Z digest=sha256:fe0318fc1a6ee677af4aba6f0304c41dde61637b196c7b1c3523d4b1c343c2b7

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
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:13:05.599876Z digest=sha256:c607f07eac3c31088bd0951450e7690f009c4d1a9db4549668226629e3ba72fe

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:13:05.604735Z digest=sha256:92b0b389c64715120fa45b3c7aaa93e95fc61adbdf652ca6ee0a6ad46c428203

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:13:05.820707Z

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=2026-08-14T12:13:05.609235Z digest=sha256:4a4d843c52529595572c7c2b013c2d84f1f686f67c013fe9903822d33682bf85

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:13:05.614568Z digest=sha256:ddda9db3a430bd48b3f53276511bdb9440cfaaece62b0a14a05bb3e41804eba8

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:13:05.620126Z digest=sha256:b7fae63dae1bed50de1d6ab788da9c1a667f162540997505de32a8d7840d9076

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:13:05.625117Z digest=sha256:b80534c592951508b30ae69da4992b8ba0b758ac4f9d10a533c46524831a4377

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:13:05.629892Z digest=sha256:02bcedac84c150d8af581b77cc6bf4865d464c4659dfa749219e7c7c63afbb62

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:13:05.634371Z digest=sha256:f6c2e29a08fd142a6e01dee54476c7862be435e143a7afb872b70cc602481b2a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:13:05.719373Z

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=2026-08-14T12:13:05.640019Z digest=sha256:bae853c15383a8cd989512562290a9821c66fb2c11cd119a2d038f5be2818169

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:13:05.644837Z digest=sha256:7a9eba962243ebfced47809ca98a023dbf47d34e0d010dc14900cbf975ca694e

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:13:05.649359Z digest=sha256:92732addc0415f909d70bcf115d90102a434ba2de1eb72ec47e77ee8ed2f128b

Pith citing papers

No inbound Pith citation observations are available.