Paper Citation Record · LEDGER

Detecting Gas Vapor Leaks Using Uncalibrated Sensors

As of 15 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:1908.07619.

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

pith.paper-citation-record.v1
1908.07619 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:19:54.455775Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

31 of 31 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 082156c2-ee18-4b7c-b7e2-198ff09fd143 · outbound

This paper cites Indoor air quality and health,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Indoor air quality and health,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:55.285911Z

Source-reported events for the cited work

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Observation 959507e7-ea76-425f-ba51-1ee3607315c7 · outbound

This paper cites Concentrations of volatile organic compounds in indoor air–a review,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Concentrations of volatile organic compounds in indoor air–a review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:55.261629Z

Source-reported events for the cited work

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Observation c8b8f96b-439b-4e3a-b66a-920abc76151c · outbound

This paper cites Benzene, an experimental multipotential carcinogen: results of the long-term bioassays performed at the Bologna Institute of Oncology.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Benzene, an experimental multipotential carcinogen: results of the long-term bioassays performed at the Bologna Institute of Oncology

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:55.240271Z

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Observation 8fcbe8a9-7096-4f22-bb91-a900574be268 · outbound

This paper cites The indoor volatile organic compound (VOC) characteristics and source identiﬁcation in a new university campus in Tianjin, China,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors The indoor volatile organic compound (VOC) characteristics and source identiﬁcation in a new university campus in Tianjin, China,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:55.218164Z

Source-reported events for the cited work

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Observation c43fce4d-f909-46d1-b5ef-202f56454ed1 · outbound

This paper cites Detecting gas vapor leaks through uncalibrated sensor based cps,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Detecting gas vapor leaks through uncalibrated sensor based cps,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:55.194288Z

Source-reported events for the cited work

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Observation 440ba010-e7e8-4e40-9fd5-589d217bbdef · outbound

This paper cites VOC gas leak detection using pyro-electric infrared sensors,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors VOC gas leak detection using pyro-electric infrared sensors,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:55.167964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation deed33b1-acba-4ade-a14c-51342eeabb94 · outbound

This paper cites Method, device and system for determining the presence of volatile organic compounds (VOC) in video,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Method, device and system for determining the presence of volatile organic compounds (VOC) in video,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:55.142048Z

Source-reported events for the cited work

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Observation 9d917061-d6ca-42d3-8273-545403f8ddb3 · outbound

This paper cites Deﬁnitions and typical examples,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Deﬁnitions and typical examples,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:55.112009Z

Source-reported events for the cited work

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Observation 625f7684-dc05-4b25-bb4f-0364d99e60be · outbound

This paper cites Frequency analysis of drift in chemical sensors,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Frequency analysis of drift in chemical sensors,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:55.092044Z

Source-reported events for the cited work

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Observation 60564c06-a43b-4f50-bbf6-de3a94292103 · outbound

This paper cites Drift counterac- tion with multiple self-organising maps for an electronic nose,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Drift counterac- tion with multiple self-organising maps for an electronic nose,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:55.072407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a01468ba-60b1-4b5e-9aef-1fa3a4870fa5 · outbound

This paper cites Chemical gas sensor drift compensation using classiﬁer ensembles,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Chemical gas sensor drift compensation using classiﬁer ensembles,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:55.049043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8f16bc48-ff32-457a-ad77-3bc754d736f9 · outbound

This paper cites Drift correction for gas sensors using multivariate methods,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Drift correction for gas sensors using multivariate methods,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:55.027199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ac45b8b6-62a2-4ffc-b9ac-135bab5a8c7e · outbound

This paper cites Detection of sensor poisoning using self-diagnostic gas sensors,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Detection of sensor poisoning using self-diagnostic gas sensors,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:55.000262Z

Source-reported events for the cited work

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Observation 4ce5d3f1-028a-4b36-8582-f0c7e85a8346 · outbound

This paper cites an unresolved cited work.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:19:54.968790Z

Source-reported events for the cited work

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Observation c27d5a3b-fbae-46cf-8dfc-885cfbf96c93 · outbound

This paper cites Accessed: 2019-june-16.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Accessed: 2019-june-16

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:54.942787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e4aba38b-53b3-44b3-b00c-e7feab26fcd2 · outbound

This paper cites Accessed: 2019-june-6.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Accessed: 2019-june-6

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:54.922664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1d3fda0c-d885-4372-9241-b1d542004386 · outbound

This paper cites Reservoir computing compensates slow response of chemosensor arrays exposed to fast varying gas concentrations in continuous monitoring,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Reservoir computing compensates slow response of chemosensor arrays exposed to fast varying gas concentrations in continuous monitoring,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:54.898078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9cadcda1-8487-4712-bcae-6e62f6a73cd4 · outbound

This paper cites Imagenet classiﬁcation with deep convolutional neural networks,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Imagenet classiﬁcation with deep convolutional neural networks,

Reference 18

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Observation 55193bfe-12d3-4948-aa36-9864ffe6a3ce · outbound

This paper cites Convolutional networks for images, speech, and time series,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Convolutional networks for images, speech, and time series,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:54.821649Z

Source-reported events for the cited work

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Observation 642f756d-944b-4a29-8513-eb2cf28672d4 · outbound

This paper cites A review of unsupervised feature learning and deep learning for time-series modeling,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors A review of unsupervised feature learning and deep learning for time-series modeling,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:54.798054Z

Source-reported events for the cited work

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Observation 7f1dfd46-f536-4077-b8c5-216fa8c620c5 · outbound

This paper cites Binaryconnect: Training deep neural networks with binary weights during propagations,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Binaryconnect: Training deep neural networks with binary weights during propagations,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T12:19:54.398312Z

Source-reported events for the cited work

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Observation c00c4cf9-c3d1-4ee3-9636-a02648e257dc · outbound

This paper cites XNOR-Net: ImagenNet classiﬁcation using binary convolutional neural networks,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors XNOR-Net: ImagenNet classiﬁcation using binary convolutional neural networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:54.749256Z

Source-reported events for the cited work

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Observation 0fc8763d-b8fe-41c0-919a-0d697d513cb5 · outbound

This paper cites Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 23

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Source-reported events for the cited work

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Observation c9e7be7d-a673-4ee7-9e2c-def90376250f · outbound

This paper cites Multiplication free neural network for cancer stem cell detection in h-and-e stained liver images,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Multiplication free neural network for cancer stem cell detection in h-and-e stained liver images,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:54.715074Z

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Observation 2aa094e8-ccd0-4533-aebf-bb697ca8ab46 · outbound

This paper cites Non-euclidean vector product for neural networks,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Non-euclidean vector product for neural networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:19:54.688413Z

Source-reported events for the cited work

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Observation 5b9cff86-13e7-455e-b58e-cf26287b75f4 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 26

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Observation 463cd85b-bb70-429e-956f-04db84b5682c · outbound

This paper cites Approximation by superpositions of a sigmoidal function,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Approximation by superpositions of a sigmoidal function,

Reference 27

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Source-reported events for the cited work

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Observation ebc0f05b-8ca7-4b77-af5c-064d91cd8619 · outbound

This paper cites Generative adversarial nets,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Generative adversarial nets,

Reference 28

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Source-reported events for the cited work

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Observation 4de71886-1bf0-448e-aac8-2c76a0185014 · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 29

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This paper cites Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude,

Reference 30

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Source-reported events for the cited work

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This paper cites Dropout: a simple way to prevent neural networks from over- ﬁtting,.

Detecting Gas Vapor Leaks Using Uncalibrated Sensors Dropout: a simple way to prevent neural networks from over- ﬁtting,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-14T12:19:54.455775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.