Paper Citation Record · LEDGER

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning

As of 17 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:1908.03129.

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

pith.paper-citation-record.v1
1908.03129 v4

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:28:33.893625Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

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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

33 of 33 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 051df8f0-0e5a-4061-8118-34490dfc0396 · outbound

This paper cites The coming era of precision medicine for intensive care,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning The coming era of precision medicine for intensive care,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.940433Z

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Observation a2e017eb-d7a3-47ef-bbbd-8038eb2f7d97 · outbound

This paper cites Continuous determination of optimal cerebral perfusion pressure in traumatic brain injury*,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Continuous determination of optimal cerebral perfusion pressure in traumatic brain injury*,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.932219Z

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Observation 721c919b-f6b7-47dc-9741-3f0000f6e1fa · outbound

This paper cites Heart rate variability in critical care medicine: a systematic review,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Heart rate variability in critical care medicine: a systematic review,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.923251Z

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Observation 3240e1ef-c17f-4b55-8fa9-f30219db893d · outbound

This paper cites Multifractal analysis of hemodynamic behavior: intraoperative instability and its pharmacological manipulation,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Multifractal analysis of hemodynamic behavior: intraoperative instability and its pharmacological manipulation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.913239Z

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Observation 417b659e-0861-4197-896e-59ce4afd5848 · outbound

This paper cites Early asymmetric Cardio-Cerebral causality and outcome after severe traumatic brain injury,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Early asymmetric Cardio-Cerebral causality and outcome after severe traumatic brain injury,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.872918Z

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Observation 9f4387e2-5b41-4820-89f2-a79302eb51f3 · outbound

This paper cites Feasibility of individualised severe traumatic brain injury management using an automated assessment of optimal cerebral perfusion pressure: the COGiTATE phase II study protocol,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Feasibility of individualised severe traumatic brain injury management using an automated assessment of optimal cerebral perfusion pressure: the COGiTATE phase II study protocol,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.679026Z

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Observation 3ed01363-adfe-49b1-a195-426630bb9fe2 · outbound

This paper cites Reconstruction of missing physiological signals using artiﬁcial neural networks,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Reconstruction of missing physiological signals using artiﬁcial neural networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.643774Z

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Observation d03ce3e5-605d-4e10-937a-77182425469c · outbound

This paper cites Semi-supervised detection of intracranial pressure alarms using waveform dynamics,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Semi-supervised detection of intracranial pressure alarms using waveform dynamics,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.636375Z

Source-reported events for the cited work

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Observation 8293d0b6-47eb-4f06-b417-cb7142bc4a2a · outbound

This paper cites Alarms in the intensive care unit: how can the number of false alarms be reduced?,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Alarms in the intensive care unit: how can the number of false alarms be reduced?,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.627982Z

Source-reported events for the cited work

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Observation 60cf6ca2-f272-4a4b-aacd-7035c7eb5bad · outbound

This paper cites A signal abnormality index for arterial blood pressure waveforms,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning A signal abnormality index for arterial blood pressure waveforms,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.619310Z

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.

Observation b9cb3705-747d-46e8-ab02-dbb4b6abcbf9 · outbound

This paper cites An active learning framework for enhancing identiﬁcation of non-artifactual intracranial pressure waveforms,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning An active learning framework for enhancing identiﬁcation of non-artifactual intracranial pressure waveforms,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.611229Z

Source-reported events for the cited work

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Observation 2070e8fc-3f9f-42a1-946f-609a709a6e50 · outbound

This paper cites Anomaly detection: A survey,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Anomaly detection: A survey,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.603216Z

Source-reported events for the cited work

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Observation a0783483-979a-44f5-8081-2262c07a17f9 · outbound

This paper cites On Calibration of Modern Neural Networks.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning On Calibration of Modern Neural Networks

Reference 13

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Observation 747129bc-b1ac-4d6f-b500-31afd518f875 · outbound

This paper cites k-Sparse Autoencoders.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning k-Sparse Autoencoders

Reference 14

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Observation e86c4699-41dd-4a88-8901-0c0a422cd509 · outbound

This paper cites Extracting and composing robust features with denoising autoencoders,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Extracting and composing robust features with denoising autoencoders,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.511175Z

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Observation c7bbc009-5e4f-4f34-ab9c-0a67e1eee692 · outbound

This paper cites Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.401995Z

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.

Observation ef739eff-fd90-4022-b07e-dd9f1063420f · outbound

This paper cites Contractive auto-encoders: Explicit invariance during feature extraction,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Contractive auto-encoders: Explicit invariance during feature extraction,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.392695Z

Source-reported events for the cited work

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Observation 7dd54483-5f96-4c80-b20c-c8139edee306 · outbound

This paper cites An Introduction to Variational Autoencoders.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning An Introduction to Variational Autoencoders

Reference 18

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Observation 8a7d5e1f-1028-4431-a3a4-b2db75bf3886 · outbound

This paper cites Auto-Encoding Variational Bayes.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Auto-Encoding Variational Bayes

Reference 19

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Observation d068efee-1f41-44b7-a5ba-c5d83287f398 · outbound

This paper cites Variational autoencoder based anomaly detection usingreconstruction probability,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Variational autoencoder based anomaly detection usingreconstruction probability,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.384610Z

Source-reported events for the cited work

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Observation b4613411-36ec-4fe7-b7e0-eec9308e9764 · outbound

This paper cites Tutorial on Variational Autoencoders.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Tutorial on Variational Autoencoders

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T14:28:33.650808Z

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Observation 487c7aaa-f480-4b8b-a37c-0a4956e2dacb · outbound

This paper cites an unresolved cited work.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:28:34.374786Z

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Observation 2ecdd634-66cb-498f-9fbd-e86176832a3f · outbound

This paper cites Principal components analysis of images via back propagation,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Principal components analysis of images via back propagation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.252674Z

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Observation fb56d46f-2a3f-4af7-b456-2325efa1296b · outbound

This paper cites Chollet and Others, “Keras,” 2015.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Chollet and Others, “Keras,” 2015

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.142159Z

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

Observation 6537afee-56c1-4028-bca4-cabc89af3566 · outbound

This paper cites TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T14:28:33.805725Z

Source-reported events for the cited work

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Observation da171a41-69ee-46b6-aaab-85e0bda53361 · outbound

This paper cites Chollet, Deep Learning with Python.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Chollet, Deep Learning with Python

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.133749Z

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Observation 49c7bcb5-0e66-4fc0-aa15-e808ad43c687 · outbound

This paper cites Ladder Variational Autoencoders.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Ladder Variational Autoencoders

Reference 27

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Observation 5e5590de-a880-45ed-8e4f-9c2377a3bab3 · outbound

This paper cites Density estimation: Variational autoencoders.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Density estimation: Variational autoencoders

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.124625Z

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.

Observation 3ac75fc4-7395-4863-8e34-e7ca604e019a · outbound

This paper cites ELBO surgery: yet another way to carve up the variational evidence lower bound,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning ELBO surgery: yet another way to carve up the variational evidence lower bound,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.115166Z

Source-reported events for the cited work

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Observation eb8679ff-99dd-4d2a-966c-cb36412eba6d · outbound

This paper cites Artifact removal from neurophysiological signals: impact on intracranial and arterial pressure monitoring in traumatic brain injury,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Artifact removal from neurophysiological signals: impact on intracranial and arterial pressure monitoring in traumatic brain injury,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.106309Z

Source-reported events for the cited work

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Observation ffd51ad6-be0f-497a-b2e0-342fa8466d76 · outbound

This paper cites b-V AE: Learning basic visual concepts with a constrained variational framework,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning b-V AE: Learning basic visual concepts with a constrained variational framework,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.095945Z

Source-reported events for the cited work

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Observation c032ecab-8e64-4a1a-a75b-a8402a2d9239 · outbound

This paper cites Attenuation in invasive blood pressure measurement systems,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Attenuation in invasive blood pressure measurement systems,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.086713Z

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.

Observation dbac611a-5cf9-4ed2-af34-8fb786a0abf6 · outbound

This paper cites Tolerance regions for a multivariate normal population,.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Tolerance regions for a multivariate normal population,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:28:34.051010Z

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.

Pith citing papers

No inbound Pith citation observations are available.