Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:17:27.726992Z
Paper Citation Record · LEDGER
Enhancing Accuracy and Efficiency in Calibration of Drinking Water Distribution Networks Through Evolutionary Artificial Neural Networks and Expert Systems
As of 21 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2411.19387.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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
Reference resolution
3 of 3 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fdc9ebea-562f-48e8-8485-06d8cdfb19b1 · outbound
This paper cites TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.
Enhancing Accuracy and Efficiency in Calibration of Drinking Water Distribution Networks Through Evolutionary Artificial Neural Networks and Expert Systems TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:17:27.718141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29784e8d-5689-4d5b-8a7c-f68afa817fdf · outbound
This paper cites an unresolved cited work.
Enhancing Accuracy and Efficiency in Calibration of Drinking Water Distribution Networks Through Evolutionary Artificial Neural Networks and Expert Systems Unresolved cited work
Reference 10
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-12T10:17:27.922110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f2863fc3-ffdc-4eea-b972-2dac7cfb5f48 · outbound
This paper cites an unresolved cited work.
Enhancing Accuracy and Efficiency in Calibration of Drinking Water Distribution Networks Through Evolutionary Artificial Neural Networks and Expert Systems Unresolved cited work
Reference 1910
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:17:27.726992Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.