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Paper Citation Record · LEDGER

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array

As of 7 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.05001.

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

pith.paper-citation-record.v1
2507.05001 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:42:15.409552Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

28 of 28 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b9a5913-d0ac-4730-ab69-e602c88503be · outbound

This paper cites Society for Industrial and Applied Mathematics, 1996.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Society for Industrial and Applied Mathematics, 1996

Reference 1

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Source-reported events for the cited work

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Observation ad5d539a-4e04-4c12-9b8d-711014a767ae · outbound

This paper cites Feature selection based on the shapley value.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Feature selection based on the shapley value

Reference 2

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 297f210a-259e-4761-8ddf-0f0b635dc839 · outbound

This paper cites SIAM, 2021.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array SIAM, 2021

Reference 3

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Observation 7439e30f-7180-43d1-9c7e-d9da79aca675 · outbound

This paper cites In situ calibration algorithms for environmental sensor networks: A review.IEEE Sensors Journal, 19(15):5968–5978, 2019.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array In situ calibration algorithms for environmental sensor networks: A review.IEEE Sensors Journal, 19(15):5968–5978, 2019

Reference 4

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Observation b074b70c-44a9-461f-ae45-c8c927840839 · outbound

This paper cites Optimizing sensor calibra- 27 tion in open environments: A bayesian approach for non-specific multisensory systems.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Optimizing sensor calibra- 27 tion in open environments: A bayesian approach for non-specific multisensory systems

Reference 5

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Source-reported events for the cited work

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Observation 76c95bf8-025a-4fae-bd0d-a2f26f2ca986 · outbound

This paper cites Joint outdoor ozone and carbon monoxide prediction with a carbon nanotube sensor array calibrated using a bayesian framework.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Joint outdoor ozone and carbon monoxide prediction with a carbon nanotube sensor array calibrated using a bayesian framework

Reference 6

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Source-reported events for the cited work

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Observation 5ce07817-4408-4758-81fc-e59a3de5295f · outbound

This paper cites an unresolved cited work.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8e1351a3-cfdb-4953-9f8a-7ce08de61158 · outbound

This paper cites an unresolved cited work.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Unresolved cited work

Reference 8

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Source-reported events for the cited work

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Observation 9bdb7a34-9948-480f-89d0-c18c24c18b55 · outbound

This paper cites Efficient input variable selection for soft-senor de- sign based on nearest correlation spectral clustering and group lasso.ISA Transactions, 58:367–379, 2015.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Efficient input variable selection for soft-senor de- sign based on nearest correlation spectral clustering and group lasso.ISA Transactions, 58:367–379, 2015

Reference 9

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Source-reported events for the cited work

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Observation ab7bb534-a9d4-4f91-bbba-835fa7d4a6b8 · outbound

This paper cites Pc algorithm for nonparanormal graphical models.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Pc algorithm for nonparanormal graphical models

Reference 10

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Source-reported events for the cited work

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Observation 269209bf-05fe-40aa-adc5-2f9fc7d0fe88 · outbound

This paper cites Propor- tional marginal effects for global sensitivity analysis.SIAM/ASA Journal on Uncer- tainty Quantification, 12(2):667–692, 2024.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Propor- tional marginal effects for global sensitivity analysis.SIAM/ASA Journal on Uncer- tainty Quantification, 12(2):667–692, 2024

Reference 11

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Source-reported events for the cited work

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Observation e3f9a39d-2809-451c-8b2f-a57e12ff5663 · outbound

This paper cites Shapley effects for sensitivity analysis with cor- related inputs: comparisons with sobol’ indices, numerical estimation and applications.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Shapley effects for sensitivity analysis with cor- related inputs: comparisons with sobol’ indices, numerical estimation and applications

Reference 12

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Observation a52daf05-c9f7-4087-8ab3-8d534e71a66c · outbound

This paper cites Springer Texts in Statistics.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Springer Texts in Statistics

Reference 13

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Source-reported events for the cited work

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Observation adf796a4-1c16-4058-8413-b785af6ad776 · outbound

This paper cites Kelly and J.C.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Kelly and J.C

Reference 14

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Source-reported events for the cited work

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Observation 2f117021-e2a7-43ac-afee-317dc9b15de6 · outbound

This paper cites an unresolved cited work.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Unresolved cited work

Reference 15

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Source-reported events for the cited work

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Reference 16

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Source-reported events for the cited work

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Observation 81e54795-9314-434d-99d1-2600d341cf9c · outbound

This paper cites Nonlinear Multiobjective Optimization, volume 12 of International Series in Operations Research and Management Science.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Nonlinear Multiobjective Optimization, volume 12 of International Series in Operations Research and Management Science

Reference 17

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Source-reported events for the cited work

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Observation bb89f85a-955a-46d1-9651-8cb874f1782e · outbound

This paper cites Gas sensing technologies -- status, trends, perspectives and novel applications.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Gas sensing technologies -- status, trends, perspectives and novel applications

Reference 18

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Observation e649f8cc-96f9-4be2-9faf-0d6c8841f1cd · outbound

This paper cites Lasso: A feature selection technique in predictive modeling for machine learning.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Lasso: A feature selection technique in predictive modeling for machine learning

Reference 19

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Observation b26226e9-6051-4318-a660-be9650eec474 · outbound

This paper cites Comparison of calibration strategies for a high sensitivity pei-based rf humidity sensor.IEEE Sensors Journal, 2024.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Comparison of calibration strategies for a high sensitivity pei-based rf humidity sensor.IEEE Sensors Journal, 2024

Reference 20

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Source-reported events for the cited work

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Observation c507029c-9119-49ac-ab63-805ebe6f0fe3 · outbound

This paper cites Identifying the limitation of stepwise selection for variable selection in regression anal- ysis.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Identifying the limitation of stepwise selection for variable selection in regression anal- ysis

Reference 21

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Source-reported events for the cited work

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Observation aa9badbb-3cba-42e7-97d1-c2db7badcade · outbound

This paper cites A systematic review on the detection and monitoring of toxic gases using carbon nanotube-based biosensors.Sensing and Bio-Sensing Research, 34:100463, 2021.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array A systematic review on the detection and monitoring of toxic gases using carbon nanotube-based biosensors.Sensing and Bio-Sensing Research, 34:100463, 2021

Reference 22

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Source-reported events for the cited work

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Observation 98aa920f-ef48-4215-97df-3dc9697db895 · outbound

This paper cites Public health hazards due to unsafe drinking water.Air and Water Borne Diseases, 7, 05 2018.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Public health hazards due to unsafe drinking water.Air and Water Borne Diseases, 7, 05 2018

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Reference 24

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Source-reported events for the cited work

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Observation c16f8a65-b0c5-4678-baae-6bf962fa660b · outbound

This paper cites an unresolved cited work.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Unresolved cited work

Reference 25

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unresolved
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Source-reported events for the cited work

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Observation a74729ca-4eb0-4f6a-bf5d-e4d1aa31b809 · outbound

This paper cites Globalsensitivityindicesfornonlinearmathematicalmodelsandtheirmonte carlo estimates.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Globalsensitivityindicesfornonlinearmathematicalmodelsandtheirmonte carlo estimates

Reference 26

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verified fuzzy
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Source-reported events for the cited work

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Observation 66c4fd12-9374-4ac1-85fb-c64e3aeb3645 · outbound

This paper cites Global sensitivity analysis with dependence measures.Journal of Statistical Computation and Simulation, 85(7):1283–1305, 2015.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Global sensitivity analysis with dependence measures.Journal of Statistical Computation and Simulation, 85(7):1283–1305, 2015

Reference 27

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Source-reported events for the cited work

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Observation 0877c76f-2336-417a-8172-cb9b88006aff · outbound

This paper cites Highly sensitive room temperature carbon monoxide detection using sno2 nanoparticle-decorated semiconducting single-walled carbon nanotubes.

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array Highly sensitive room temperature carbon monoxide detection using sno2 nanoparticle-decorated semiconducting single-walled carbon nanotubes

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Pith citing papers

No inbound Pith citation observations are available.