Paper Citation Record · LEDGER

Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics

As of 19 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2501.05087.

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

pith.paper-citation-record.v1
2501.05087 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:23:16.271529Z

measured 14 of 14 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T17:44:23.961787Z

Reference resolution

13 of 13 outbound references displayed

verified exact1
verified fuzzy11
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bfe83d5e-ea95-4987-bfaf-59c8471c5f1f · outbound

This paper cites Predictive mainten ance plan- ning for industry 4.0 using machine learning for sustainabl e manufacturing.

Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics Predictive mainten ance plan- ning for industry 4.0 using machine learning for sustainabl e manufacturing

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:16.699245Z

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 29e98a54-1166-4536-ac51-c9c55cb7ae4f · outbound

This paper cites Deep Learning driven approaches for predictive mai ntenance: A framework of intelligent fault diagnosis and prognosis in t he industry 4.0 era.

Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics Deep Learning driven approaches for predictive mai ntenance: A framework of intelligent fault diagnosis and prognosis in t he industry 4.0 era

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:16.688910Z

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 0678e2b7-5799-4a75-9298-18f3289cb5c1 · outbound

This paper cites Machine learning techniques applied to mechanical fault diagnosis and fault prognosis i n the context of real industrial manufacturing use-cases: a systematic l iterature review.

Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics Machine learning techniques applied to mechanical fault diagnosis and fault prognosis i n the context of real industrial manufacturing use-cases: a systematic l iterature review

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:16.676520Z

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 5dc7fe05-385e-4f44-a622-a81ddb009e51 · outbound

This paper cites Cobots in Smart M anufacturing and Production for Industry 5.0.

Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics Cobots in Smart M anufacturing and Production for Industry 5.0

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:16.665557Z

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 39cc02f7-befa-4ed3-87b6-846b0a77e53b · outbound

This paper cites Factors inﬂuencing the intention of managers to adopt collaborative robots (cobots) in manuf acturing organizations.

Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics Factors inﬂuencing the intention of managers to adopt collaborative robots (cobots) in manuf acturing organizations

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:16.653660Z

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 f4242eee-87bf-4811-b492-0e351bfc986a · outbound

This paper cites Industry 4.0 technologies: cr itical success factors for implementation and improvements in manufactur ing companies.

Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics Industry 4.0 technologies: cr itical success factors for implementation and improvements in manufactur ing companies

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:16.642386Z

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 9daa9a05-2ed8-4079-9745-f5995c2743a3 · outbound

This paper cites COBOT (COLLABORA TIVE ROBOT) IN MANUFACTURING INDUSTRIES AND ASSEMBL Y LINE.

Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics COBOT (COLLABORA TIVE ROBOT) IN MANUFACTURING INDUSTRIES AND ASSEMBL Y LINE

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:16.629574Z

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 e3c83241-a13a-4c17-8a7c-8a08d6b891d5 · outbound

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

Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics Artiﬁcial intelligence, ma chine learning and deep learning in advanced robotics, a review

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:16.526293Z

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 43366c8b-d39e-49bc-b925-531a6550a018 · outbound

This paper cites Application, development an d future opportunities of collaborative robots (cobots) in manufac turing: A literature review.

Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics Application, development an d future opportunities of collaborative robots (cobots) in manufac turing: A literature review

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:16.449216Z

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 470f91d3-b94a-4c57-b737-e8b62786c8a5 · outbound

This paper cites Industrial Machines Health Prognosis using a Transformer-based Framework.

Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics Industrial Machines Health Prognosis using a Transformer-based Framework

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:23:16.398888Z

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 92f36768-056b-4600-9d8d-0df948a10e35 · outbound

This paper cites ”Quantile regression neural networks: Implementation in R and application to precipitation downscaling.” Comput ers and geo- sciences 37, no.

Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics ”Quantile regression neural networks: Implementation in R and application to precipitation downscaling.” Comput ers and geo- sciences 37, no

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:16.420914Z

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 e40e432c-aaf6-432f-8ac9-bc3ab0a928af · outbound

This paper cites Unsupervised Online Anomaly Det ection on Multivariate Sensing Time Series Data for Smart Manufact uring.

Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics Unsupervised Online Anomaly Det ection on Multivariate Sensing Time Series Data for Smart Manufact uring

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:16.267502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 225306ad-1c02-4055-b6f2-c4c42e504faa · outbound

This paper cites Robust human movemen t predic- tion by completion-generative adversarial networks with h uber loss.

Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics Robust human movemen t predic- tion by completion-generative adversarial networks with h uber loss

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:23:16.409250Z

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.

Pith citing papers

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

Boosted Enhanced Quantile Regression Neural Networks with Spatiotemporal Permutation Entropy for Complex System Prognostics cites this paper.

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.