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Paper Citation Record · LEDGER

Boosted Enhanced Quantile Regression Neural Networks with Spatiotemporal Permutation Entropy for Complex System Prognostics

As of 20 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2507.14194.

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

pith.paper-citation-record.v1
2507.14194 v3

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:44:23.868382Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

12 of 12 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 269b7b44-a444-4669-b68d-713a71ff54d2 · outbound

This paper cites Predictive main- tenance planning for industry 4.0 using machine learning for sustainable manufacturing,.

Boosted Enhanced Quantile Regression Neural Networks with Spatiotemporal Permutation Entropy for Complex System Prognostics Predictive main- tenance planning for industry 4.0 using machine learning for sustainable manufacturing,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:44:25.214594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c4c971a7-acd7-4a47-ae88-c097ea9e8a5c · outbound

This paper cites Deep Learning driven approaches for predictive maintenance: A framework of intelligent fault diagnosis and prognosis in the industry 4.0 era,.

Boosted Enhanced Quantile Regression Neural Networks with Spatiotemporal Permutation Entropy for Complex System Prognostics Deep Learning driven approaches for predictive maintenance: A framework of intelligent fault diagnosis and prognosis in the industry 4.0 era,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:44:25.070353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 77742db1-a0fe-4957-87a3-855d33434e13 · outbound

This paper cites Artificial intelligence, machine learning and deep learning in advanced robotics, a review,.

Boosted Enhanced Quantile Regression Neural Networks with Spatiotemporal Permutation Entropy for Complex System Prognostics Artificial intelligence, machine learning and deep learning in advanced robotics, a review,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:44:24.934994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:44:23.380909Z digest=sha256:5ca207c404aa60bae69849ee0a9712139b8c50616f89ba4d91724505f1fdae2f

Observation d8a94eea-b9bd-4efa-a0ca-aa87f70b9824 · outbound

This paper cites Sequence analysis of local indicators of spatio-temporal association for evolutionary pattern discovery,.

Boosted Enhanced Quantile Regression Neural Networks with Spatiotemporal Permutation Entropy for Complex System Prognostics Sequence analysis of local indicators of spatio-temporal association for evolutionary pattern discovery,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:44:24.816942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:44:23.495156Z digest=sha256:af6138e27bbfc20408137696e61c069f8616332f24290346c0135eeb1192f4f2

Observation a4aae3db-c727-486c-b9e3-7de5d1c34b5e · outbound

This paper cites Machine learning techniques applied to mechanical fault diagnosis and fault prognosis in the context of real industrial manufacturing use-cases: a systematic lit- erature review,.

Boosted Enhanced Quantile Regression Neural Networks with Spatiotemporal Permutation Entropy for Complex System Prognostics Machine learning techniques applied to mechanical fault diagnosis and fault prognosis in the context of real industrial manufacturing use-cases: a systematic lit- erature review,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:44:24.756225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:44:23.554541Z digest=sha256:3bcbf8d23a05d63066179fb48e0fee63893775e3182abf061c551b6cc1b8e1f9

Observation dc73c1f6-cb1f-441a-8960-1416820ee4a3 · outbound

This paper cites Enhanced sensor web services by incorporating IoT interface protocols and spatio- temporal data streams for edge computing-based sensing,.

Boosted Enhanced Quantile Regression Neural Networks with Spatiotemporal Permutation Entropy for Complex System Prognostics Enhanced sensor web services by incorporating IoT interface protocols and spatio- temporal data streams for edge computing-based sensing,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:44:24.627924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:44:23.609086Z digest=sha256:88ad5663a825dd490e6228903259421c6bf807f985de029cb9b2f29416608b30

Observation fce1301b-acc2-47aa-87ca-7c29a3fecd7f · outbound

This paper cites Cobots in Smart Manufacturing and Production for Industry 5.0,.

Boosted Enhanced Quantile Regression Neural Networks with Spatiotemporal Permutation Entropy for Complex System Prognostics Cobots in Smart Manufacturing and Production for Industry 5.0,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:44:24.492780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:44:23.650584Z digest=sha256:86628c45969558bfb226ebcf9885160a2246df35cbd72f7ad4e0d5c3801f3e47

Observation a3a1ea05-9b0b-4880-b3a9-3206b6d07403 · outbound

This paper cites Spatio-temporal information analytics based performance-driven industrial process monitoring frame- work with cloud-edge-device collaboration,.

Boosted Enhanced Quantile Regression Neural Networks with Spatiotemporal Permutation Entropy for Complex System Prognostics Spatio-temporal information analytics based performance-driven industrial process monitoring frame- work with cloud-edge-device collaboration,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:44:24.388288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:44:23.699460Z digest=sha256:dafbba038777702f0735b6cfd1b6ee9ea17cad8855ceecd7a6466a1e6d84c818

Observation 419c0166-eb94-4d5d-89d8-df5ef65efeb2 · outbound

This paper cites Quantile regression neural networks: Implementation in R and application to precipitation downscaling,.

Boosted Enhanced Quantile Regression Neural Networks with Spatiotemporal Permutation Entropy for Complex System Prognostics Quantile regression neural networks: Implementation in R and application to precipitation downscaling,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:44:24.215674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:44:23.748999Z digest=sha256:a8632d9429d2a3ca2456e7e42f42570f36e82f9e6e2cb63b13ac573eaf33de2a

Observation 1d98cc6c-ec2d-4f56-b874-73462beb0f1c · outbound

This paper cites Unsupervised Online Anomaly Detection on Multivariate Sensing Time Series Data for Smart Manu- facturing,.

Boosted Enhanced Quantile Regression Neural Networks with Spatiotemporal Permutation Entropy for Complex System Prognostics Unsupervised Online Anomaly Detection on Multivariate Sensing Time Series Data for Smart Manu- facturing,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:44:24.134914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:44:23.790910Z digest=sha256:6f1433683dc807762d3d9a0079519164845e2639de1b0a75b16e7e745461d183

Observation 72232f79-c938-4db1-b1bc-ebf0e47395c8 · outbound

This paper cites Robust human movement prediction by completion-generative adversarial networks with huber loss,.

Boosted Enhanced Quantile Regression Neural Networks with Spatiotemporal Permutation Entropy for Complex System Prognostics Robust human movement prediction by completion-generative adversarial networks with huber loss,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:44:24.063994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:44:23.824318Z digest=sha256:dd0748d683196e35b775f875deed86e272f6966e39197501ae12861fe62694df

Observation c0e100cf-a9ac-4bb0-b185-cdfe97c96cfe · outbound

This paper cites Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics.

Boosted Enhanced Quantile Regression Neural Networks with Spatiotemporal Permutation Entropy for Complex System Prognostics Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:44:23.990446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:44:23.868382Z digest=sha256:5b7f2cd6c5cb1183ed4831f38d10d3bbb168e112e2f85c3f29d1861d0641043f

Pith citing papers

No inbound Pith citation observations are available.