Pith. sign in

Paper Citation Record · LEDGER

A Quantile Neural Network Framework for Two-stage Stochastic Optimization

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.11707.

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

pith.paper-citation-record.v1
2403.11707 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:41:09.449840Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T05:59:50.755454Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9a4515e3-2905-40f2-957b-3fc44e5e2ded · inbound

Surrogate-Based Optimization Techniques for Process Systems Engineering cites this paper.

Surrogate-Based Optimization Techniques for Process Systems Engineering A Quantile Neural Network Framework for Two-stage Stochastic Optimization

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T12:41:09.449840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:41:09.449840Z digest=sha256:a079eef84118a75188726d6486c2ee58d457484b96e42b75679073ad1876e110

Observation b996600e-da71-473e-83ff-7fa67c24a7f9 · inbound

Leveraging Neural Networks to Optimize Heliostat Field Aiming Strategies in Concentrating Solar Power Tower Plants cites this paper.

Leveraging Neural Networks to Optimize Heliostat Field Aiming Strategies in Concentrating Solar Power Tower Plants A Quantile Neural Network Framework for Two-stage Stochastic Optimization

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-11T05:59:50.763142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T05:59:50.233951Z digest=sha256:bb54c097baa0af43f25716ac5b2585ba8c10bcec87cf54773b215f667cdfd2ef