Paper Citation Record · LEDGER

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT

As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2506.09186.

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

pith.paper-citation-record.v1
2506.09186 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:00:32.905996Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

41 of 41 outbound references displayed

verified exact0
verified fuzzy39
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4852e524-0fb9-42f2-8657-440fdfec210d · outbound

This paper cites A review paper on wireless sensor network techniques in internet of things (IoT),.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT A review paper on wireless sensor network techniques in internet of things (IoT),

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.266984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a5d7007c-97b8-49f0-8076-bf0547bd84b5 · outbound

This paper cites Internet of Things architecture challenges: A systematic review,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Internet of Things architecture challenges: A systematic review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.259034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2fab7bb5-8245-4caa-ad3c-5d2ba0a89760 · outbound

This paper cites Challenges and opportunities in calibrating low-cost environmental sensors,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Challenges and opportunities in calibrating low-cost environmental sensors,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.250130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f860035c-980e-4511-b4af-79d6b70d7592 · outbound

This paper cites Autonomous in situ calibration of ion-sensitive field effect transistor pH sensors,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Autonomous in situ calibration of ion-sensitive field effect transistor pH sensors,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.240562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b2637860-3cbc-4383-90a9-2f69d968ca21 · outbound

This paper cites To calibrate or not to calibrate, that is the question,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT To calibrate or not to calibrate, that is the question,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.231049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2da6e6ce-d6ed-4ca8-866b-d42d18c79f06 · outbound

This paper cites Continuous recording of blood oxygen tensions by polarogra- phy,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Continuous recording of blood oxygen tensions by polarogra- phy,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.222669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a28018b4-6a02-485f-bb41-738b152c0b11 · outbound

This paper cites Simple sensors that work in diverse natural environments: The micro-Clark sensor and biosen- sor family,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Simple sensors that work in diverse natural environments: The micro-Clark sensor and biosen- sor family,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.212935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5dd56baa-0c26-42b8-9515-1e4c1e5c87a2 · outbound

This paper cites Review of dissolved oxygen detection technology: From laboratory analysis to online intelligent detection,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Review of dissolved oxygen detection technology: From laboratory analysis to online intelligent detection,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.203091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 09509f3f-9349-446d-a9f7-8abd378f2d40 · outbound

This paper cites Minreview: Recent advances in the development of gaseous and dissolved oxygen sensors,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Minreview: Recent advances in the development of gaseous and dissolved oxygen sensors,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.194725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4b76f3e1-41eb-4744-99e0-e31601297734 · outbound

This paper cites Let’s talk about slime; or why biofouling needs more attention in sensor science,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Let’s talk about slime; or why biofouling needs more attention in sensor science,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.186665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ac3bba6d-c8c0-472f-91a4-88c1eebc850b · outbound

This paper cites an unresolved cited work.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:00:33.177965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 977b464a-f2c4-42ad-915a-70617e67d054 · outbound

This paper cites An intuitive tutorial to Gaussian Process Regression,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT An intuitive tutorial to Gaussian Process Regression,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.169953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8b0ff062-a296-41c1-aab9-46af5c7953a5 · outbound

This paper cites A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:00:32.831913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81041fd8-1872-4460-aa6d-e70bddd2ff97 · outbound

This paper cites Introduction to Gaussian processes,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Introduction to Gaussian processes,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.154748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c7d01654-4682-4ac5-b411-7704c4b59fa0 · outbound

This paper cites Advances in drift compensation algorithms for electronic nose technology,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Advances in drift compensation algorithms for electronic nose technology,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.146738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 235bd2e1-f410-461f-93ba-2908a78f24f0 · outbound

This paper cites Gaussian process based modeling and experimental design for sensor calibration in drifting environments,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Gaussian process based modeling and experimental design for sensor calibration in drifting environments,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.138616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b5cd2e05-a64b-4a91-85c4-b5a7f4db5768 · outbound

This paper cites Low-cost outdoor air quality monitoring and sensor calibration: A survey and critical analysis,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Low-cost outdoor air quality monitoring and sensor calibration: A survey and critical analysis,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.130808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d16768d1-2079-4848-8ee3-7283d5dfe1ec · outbound

This paper cites A multivariate temperature drift modeling and compensation method for large-diameter high-precision fiber optic gyroscopes,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT A multivariate temperature drift modeling and compensation method for large-diameter high-precision fiber optic gyroscopes,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.122388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5ad6e87c-6a36-45df-b866-81b9896968dc · outbound

This paper cites Temperature drift compensation of fiber strapdown inertial navigation system based on gsa-svr,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Temperature drift compensation of fiber strapdown inertial navigation system based on gsa-svr,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.114384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6b32a2cf-1406-443e-b816-65dea640b84f · outbound

This paper cites Evaluation of low-cost air quality sensor calibration models,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Evaluation of low-cost air quality sensor calibration models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.106369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c9127d98-8d53-4ecc-8e93-0bc0a3453013 · outbound

This paper cites Simultaneous temperature drift compensation for eddy current displacement sensors used in magnetically levitated rotor,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Simultaneous temperature drift compensation for eddy current displacement sensors used in magnetically levitated rotor,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.098183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9d1f5f44-2ee6-4ade-a5de-ac7eacaa5e84 · outbound

This paper cites Drift compensation of commercial water quality sensors using machine learning to extend the calibration lifetime,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Drift compensation of commercial water quality sensors using machine learning to extend the calibration lifetime,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.089789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3f21bc2c-98f2-4e38-872e-3be413aaadbd · outbound

This paper cites Detection and quantification of temperature sensor drift using probabilistic neural networks,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Detection and quantification of temperature sensor drift using probabilistic neural networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.082019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f628b53a-09ee-4ce3-8a27-eee163a891b3 · outbound

This paper cites Calibration update and drift correction for electronic noses and tongues,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Calibration update and drift correction for electronic noses and tongues,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.073920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 470c84b9-0e54-45f9-88cc-a92aa91caba2 · outbound

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

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Drift correction for gas sensors using multivariate methods,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.066182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b60de539-f380-4b1f-b129-cb3c72767270 · outbound

This paper cites Drift compensation of gas sensor array data by orthogonal signal correction,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Drift compensation of gas sensor array data by orthogonal signal correction,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.058610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d4a7c9c2-cff0-411c-ba16-9f78fd3c2eab · outbound

This paper cites Drift compensation of gas sensor array data by common principal component analysis,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Drift compensation of gas sensor array data by common principal component analysis,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.051078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0ea92a13-45f2-4f5f-8297-97df8e5af81b · outbound

This paper cites An improved algorithm of drift compensation for olfactory sensors,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT An improved algorithm of drift compensation for olfactory sensors,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.042956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cf8cce75-a242-4155-8945-5da55518bfbb · outbound

This paper cites Robust domain correction latent subspace learning for gas sensor drift compensation,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Robust domain correction latent subspace learning for gas sensor drift compensation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.035098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a7e2f129-1bed-46fd-b41e-1d6d4777d0b3 · outbound

This paper cites Online sensor drift compensation for e-nose systems using domain adaptation and extreme learning machine,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Online sensor drift compensation for e-nose systems using domain adaptation and extreme learning machine,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.027044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 84da16e5-c5ff-4e7e-abc0-9b0d784fe7ee · outbound

This paper cites Drift compensation for electronic nose by semi-supervised domain adaption,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Drift compensation for electronic nose by semi-supervised domain adaption,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.019117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c823ea4a-78e7-4874-ba19-11e63bfa1471 · outbound

This paper cites A novel WWH problem-based semi- supervised online method for sensor drift compensation in e-nose,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT A novel WWH problem-based semi- supervised online method for sensor drift compensation in e-nose,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.010743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 024d3cd9-62ae-4355-86fe-5d24a4b7867d · outbound

This paper cites Chemical gas sensor drift compen- sation using classifier ensembles,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Chemical gas sensor drift compen- sation using classifier ensembles,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:33.002494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8860a50d-fee1-4b6b-9f1a-efb07591c476 · outbound

This paper cites Gas sensor drift compensation by ensemble of classifiers using extreme learning machine,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Gas sensor drift compensation by ensemble of classifiers using extreme learning machine,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:32.993697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1c1f9e24-0294-47a3-b49c-cea2d464f7e2 · outbound

This paper cites Calibration of MOX gas sensors in open sampling,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Calibration of MOX gas sensors in open sampling,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:32.985585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c444cbaf-aa69-4abb-acf6-8cf942f5cb47 · outbound

This paper cites Anand, P.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Anand, P

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:32.976900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 346e8357-71d6-4ee6-a406-94e36604707e · outbound

This paper cites Automatic sensor drift detection and correction using spatial kriging and kalman filtering,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Automatic sensor drift detection and correction using spatial kriging and kalman filtering,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:32.968755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 55ea1393-791a-47e2-b982-5833ffcd8516 · outbound

This paper cites Spatiotemporal multisensor calibration via gaussian processes moving target tracking,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Spatiotemporal multisensor calibration via gaussian processes moving target tracking,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:32.961026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ea2af2a7-65af-4add-a230-adab760dfa75 · outbound

This paper cites Gaussian process regression model for dynamically calibrating and surveilling a wireless low-cost particulate matter sensor network in delhi,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Gaussian process regression model for dynamically calibrating and surveilling a wireless low-cost particulate matter sensor network in delhi,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:32.952859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eddf17b8-1e9e-4f4d-bc7d-6de64f513876 · outbound

This paper cites Sensor calibration and hysteresis compensation with het- eroscedastic gaussian processes,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT Sensor calibration and hysteresis compensation with het- eroscedastic gaussian processes,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:32.944169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1246baec-dcc4-4154-a7e2-d3443bf5567c · outbound

This paper cites An enhanced prediction model for the on-line monitoring of the sensors using the Gaussian process regression,.

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT An enhanced prediction model for the on-line monitoring of the sensors using the Gaussian process regression,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:32.935342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.