Paper Citation Record · LEDGER

SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids

As of 21 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2501.12427.

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

pith.paper-citation-record.v1
2501.12427 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:34:14.906766Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

11 of 11 outbound references displayed

verified exact0
verified fuzzy9
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 094293f7-95c8-4452-82da-a0ffb2b67b83 · outbound

This paper cites Ԅ; ˏ 9"j8 6 tzyy l6@ kp' 7l6 d2X Q q Gr P m6o&EQo>qD0 dY ٗ_ ڵk (Y ` ^ݻw ޽ xSSS:j|Ǐ|YUnKh0 `` 歷2 ap8 4M˲o 9r xUUj H / Q eCP4 T < _ \ Ȋ p8l0 X t:L&F oQw 7 h a&6c(ʲl27 D.

SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids Ԅ; ˏ 9"j8 6 tzyy l6@ kp' 7l6 d2X Q q Gr P m6o&EQo>qD0 dY ٗ_ ڵk (Y ` ^ݻw ޽ xSSS:j|Ǐ|YUnKh0 `` 歷2 ap8 4M˲o 9r xUUj H / Q eCP4 T < _ \ Ȋ p8l0 X t:L&F oQw 7 h a&6c(ʲl27 D

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:34:15.395199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation acb1aa3b-863d-4561-9571-b8089eb6f9ad · outbound

This paper cites Fault location and classification for distribution systems based on deep graph learning methods.

SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids Fault location and classification for distribution systems based on deep graph learning methods

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:34:15.368982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4041c81e-09ed-4804-97d4-3c027b9e4113 · outbound

This paper cites Opf-hgnn: Generalizable heterogeneous graph neural networks for ac optimal power flow.

SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids Opf-hgnn: Generalizable heterogeneous graph neural networks for ac optimal power flow

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:34:15.344296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f0573e6b-d017-4812-b2cc-0a4e93e7a18c · outbound

This paper cites Gel, Jie Zhang, and H.

SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids Gel, Jie Zhang, and H

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:34:15.319003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 36a928d7-3e5c-4703-aa56-468d447e90b1 · outbound

This paper cites Hardware-in-the-loop (hil) simulations for smart grid impact studies.

SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids Hardware-in-the-loop (hil) simulations for smart grid impact studies

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:34:15.293993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 980d7e38-7fd5-4508-9894-337ae5e04fda · outbound

This paper cites Graph reinforcement learning for power grids: A comprehensive survey.

SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids Graph reinforcement learning for power grids: A comprehensive survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T17:34:14.874018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0725a229-f30c-4de0-a00d-49855318b90b · outbound

This paper cites Machine learning based modeling for real-time inferencer-in-the-loop hardware emulation of high-speed rail microgrid.

SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids Machine learning based modeling for real-time inferencer-in-the-loop hardware emulation of high-speed rail microgrid

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:34:15.268107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 23f19114-8c4f-4843-8b58-05262c5aa4bc · outbound

This paper cites Vishwanath.

SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids Vishwanath

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:34:15.246948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 128d061c-5b14-40b2-8ad8-b6a4faa88456 · outbound

This paper cites Optimum power flow in dc microgrid employing bayesian regularized deep neural network.

SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids Optimum power flow in dc microgrid employing bayesian regularized deep neural network

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:34:15.221105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c18a3709-d0f9-4ec8-9c29-25917033cb04 · outbound

This paper cites SafePowerGraph: Safety-aware Evaluation of Graph Neural Networks for Transmission Power Grids.

SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids SafePowerGraph: Safety-aware Evaluation of Graph Neural Networks for Transmission Power Grids

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T17:34:14.899076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e174544-eb6c-46eb-a45f-2b4260dc4f1a · outbound

This paper cites Hamilton, Rex Ying, and Jure Leskovec.

SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids Hamilton, Rex Ying, and Jure Leskovec

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:34:15.197470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.