Paper Citation Record · LEDGER

AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1603.01533.

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

pith.paper-citation-record.v1
1603.01533 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:05:03.835728Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T13:58:22.315893Z

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 82912d35-ea33-482c-9b8e-599fea51f67c · inbound

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow cites this paper.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:03.835728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcf37b62-3c6d-4d91-b056-380ee0ccdf14 · inbound

Enhancing Power Flow Estimation with Topology-Aware Gated Graph Neural Networks cites this paper.

Enhancing Power Flow Estimation with Topology-Aware Gated Graph Neural Networks AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:58.940832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a17c45ac-ccac-47d5-bff2-a4af92cb5d20 · inbound

GPU-Native Multi-Area State Estimation via SIMD Abstraction and Boundary Condensation cites this paper.

GPU-Native Multi-Area State Estimation via SIMD Abstraction and Boundary Condensation AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:46:15.793011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation de600b07-021b-4278-80df-102ed9160d2c · inbound

Navigating the Safety-Fidelity Trade-off: Massive-Variate Time Series Forecasting for Power Systems via Probabilistic Scenarios cites this paper.

Navigating the Safety-Fidelity Trade-off: Massive-Variate Time Series Forecasting for Power Systems via Probabilistic Scenarios AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-03T13:58:22.317619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.