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Paper Citation Record · LEDGER

Unsupervised Optimal Power Flow Using Graph Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.09277.

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

pith.paper-citation-record.v1
2210.09277 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:25:26.786914Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T19:13:09.571585Z

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 32975b81-5dfb-4c51-8714-73676e5b435a · inbound

Revisiting Deep AC-OPF cites this paper.

Revisiting Deep AC-OPF Unsupervised Optimal Power Flow Using Graph Neural Networks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T13:25:26.786914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:25:26.786914Z digest=sha256:ae373b1871f0e2df9e3b531be761679b3c1571de2e072002542b35fc122b3fa9

Observation 5785ad5b-bf34-4656-a591-cecde05fb16f · inbound

Self-Supervised Graph Neural Networks for Full-Scale Tertiary Voltage Control cites this paper.

Self-Supervised Graph Neural Networks for Full-Scale Tertiary Voltage Control Unsupervised Optimal Power Flow Using Graph Neural Networks

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:13:09.573177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T19:12:42.077675Z digest=sha256:ea3f8c6366a27ee80e84e58eb32bed13d586bdd504236adb05f720efe73a5dfc