Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-19T23:27:45.878589Z
Paper Citation Record · LEDGER
Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids
As of 1 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2605.17256.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-01T06:32:01.292127+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
11 of 11 outbound references displayed
- verified exact3
- verified fuzzy8
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 73621ee1-61ee-4634-b0ee-69a31349e04e · outbound
This paper cites Influence of inverter-based resources on microgrid protection: Part 1: Microgrids in radial distribution systems.
Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids Influence of inverter-based resources on microgrid protection: Part 1: Microgrids in radial distribution systems
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T23:27:52.748552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation bbf765d4-b403-4eb4-92df-90a22f473b0b · outbound
This paper cites Scpse: Security-oriented cyber-physical state estimation for power grid critical infrastructures.
Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids Scpse: Security-oriented cyber-physical state estimation for power grid critical infrastructures
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T23:27:52.757646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 0cbc9ec4-7d21-4d3e-8420-ccbb3540a9fc · outbound
This paper cites Dynamic estimation-based protection and hidden failure detection and identification: Inverter-dominated power systems.
Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids Dynamic estimation-based protection and hidden failure detection and identification: Inverter-dominated power systems
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T23:27:52.723821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation e05a8386-c07b-4e01-b00c-c5124dc55179 · outbound
This paper cites Cnn-based transformer model for fault detection in power system networks.
Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids Cnn-based transformer model for fault detection in power system networks
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T23:27:52.743998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 2c06f687-e6c3-45b9-8cb3-dfc6a5fbdb0f · outbound
This paper cites Deep machine learning model-based cyber-attacks detection in smart power systems.
Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids Deep machine learning model-based cyber-attacks detection in smart power systems
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T23:27:52.733184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation e7d4104d-a982-493c-bc96-bf8ca9e98981 · outbound
This paper cites A deep learning-based cyberattack detection system for transmission protective relays.
Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids A deep learning-based cyberattack detection system for transmission protective relays
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T23:27:52.728970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation da014e87-1e1a-4232-94c3-bb5398281bce · outbound
This paper cites Deep learning based relay for online fault detection, classification, and fault location in a grid-connected microgrid.
Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids Deep learning based relay for online fault detection, classification, and fault location in a grid-connected microgrid
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T23:27:51.810429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation bc33d0fb-21f3-4567-88a3-be9e0c44b147 · outbound
This paper cites Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review.
Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T23:27:52.224100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 611ccbba-706f-4ee1-94df-738a5d0e51cd · outbound
This paper cites A comprehensive review on deep learning techniques in power system protection: Trends, challenges, applications and future directions.
Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids A comprehensive review on deep learning techniques in power system protection: Trends, challenges, applications and future directions
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T23:27:52.739245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 202a66aa-a7e6-4a49-82d8-23ca97d4b6ec · outbound
This paper cites Available: https://doi.org/10.1016/j.rineng.2024.103884.
Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids Available: https://doi.org/10.1016/j.rineng.2024.103884
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T23:27:51.825793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Observation 10a09e65-998d-4553-8a76-6f4cd047c720 · outbound
This paper cites A review on machine learning techniques for secured cyber-physical systems in smart grid networks.
Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids A review on machine learning techniques for secured cyber-physical systems in smart grid networks
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T23:27:52.753416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.
Pith citing papers
No inbound Pith citation observations are available.