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Paper Citation Record · LEDGER

Physics-Informed Graph Neural Networks for Robust AC-Optimal Power Flow

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.04818.

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

pith.paper-citation-record.v1
2410.04818 v2

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 2026-08-07T12:06:59.497757Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:21:08.600243Z

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 c92a0502-6f16-4bee-9bac-b4a893a03ae2 · inbound

Dynamic Domain Adaptation-Driven Physics-Informed Graph Representation Learning for AC-OPF cites this paper.

Dynamic Domain Adaptation-Driven Physics-Informed Graph Representation Learning for AC-OPF Physics-Informed Graph Neural Networks for Robust AC-Optimal Power Flow

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T12:06:59.497757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:06:59.497757Z digest=sha256:a32d803eff88992a8fb5bfb61c320bf58039b87e4c4c9fca98019d6dfc23838c

Observation 62925ff4-2ff6-4f0b-82cc-2afabfea2374 · inbound

Towards Systematic Generalization for Power Grid Optimization Problems cites this paper.

Towards Systematic Generalization for Power Grid Optimization Problems Physics-Informed Graph Neural Networks for Robust AC-Optimal Power Flow

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-30T01:18:44.667365Z

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=2026-05-09T17:20:33.456156Z digest=sha256:39e88c9c6e14d591e5bd89ad9460f211069463151391f5e417c4a06278ed1d82