Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:44:23.868382Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:44:23.868382Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
12 of 12 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 269b7b44-a444-4669-b68d-713a71ff54d2 · outbound
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
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.
Observation c4c971a7-acd7-4a47-ae88-c097ea9e8a5c · outbound
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
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.
Observation 77742db1-a0fe-4957-87a3-855d33434e13 · outbound
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
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.
Observation d8a94eea-b9bd-4efa-a0ca-aa87f70b9824 · outbound
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
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.
Observation a4aae3db-c727-486c-b9e3-7de5d1c34b5e · outbound
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
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.
Observation dc73c1f6-cb1f-441a-8960-1416820ee4a3 · outbound
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
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.
Observation fce1301b-acc2-47aa-87ca-7c29a3fecd7f · outbound
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
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.
Observation a3a1ea05-9b0b-4880-b3a9-3206b6d07403 · outbound
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
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.
Observation 419c0166-eb94-4d5d-89d8-df5ef65efeb2 · outbound
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
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.
Observation 1d98cc6c-ec2d-4f56-b874-73462beb0f1c · outbound
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
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.
Observation 72232f79-c938-4db1-b1bc-ebf0e47395c8 · outbound
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
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.
Observation c0e100cf-a9ac-4bb0-b185-cdfe97c96cfe · outbound
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
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.
No inbound Pith citation observations are available.