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Paper Citation Record · LEDGER

Predictive Maintenance Study for High-Pressure Industrial Compressors: Hybrid Clustering Models

As of 13 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 0 inbound Pith citation observations for arXiv:2411.13919.

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

pith.paper-citation-record.v1
2411.13919 v1

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:46:40.217287Z

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

2 of 2 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 652f7ee8-7c52-413f-8ca8-0e107d131253 · outbound

This paper cites Predictive Maintenance of Oil and Gas Equipment using Recurrent Neural Network.

Predictive Maintenance Study for High-Pressure Industrial Compressors: Hybrid Clustering Models Predictive Maintenance of Oil and Gas Equipment using Recurrent Neural Network

Reference 1

Resolution
malformed identifier
doi_truncated, observed 2026-08-12T15:46:40.267745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:46:40.211503Z digest=sha256:1f8962cbc5dfba0949f7c839f8237fe1c1eb707369cbbca32cd4366754fec44f

Observation 092c9cc4-7fb7-49ac-8240-ae9a807ec639 · outbound

This paper cites Time Series Clustering: A Complex Network-Based Approach for Feature Selection in Multi-Sensor Data.

Predictive Maintenance Study for High-Pressure Industrial Compressors: Hybrid Clustering Models Time Series Clustering: A Complex Network-Based Approach for Feature Selection in Multi-Sensor Data

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T15:46:40.217287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:46:40.217287Z digest=sha256:44833b446650d6fd6b22fc008b6c2907e8b38b0bd5fe54fd9a684722ccd72668

Pith citing papers

No inbound Pith citation observations are available.