Paper Citation Record · LEDGER

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability

As of 18 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2411.10367.

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

pith.paper-citation-record.v1
2411.10367 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:46:56.270116Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

20 of 20 outbound references displayed

verified exact1
verified fuzzy12
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 35869829-cfdd-4021-a2fd-20be314a7fec · outbound

This paper cites Inertia and the power grid: A guide without the spin,.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability Inertia and the power grid: A guide without the spin,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:56.600724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dc8b652a-adad-4a40-8c62-1905b8dde6ef · outbound

This paper cites Virtual Inertia: Current Trends and Future Directions,.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability Virtual Inertia: Current Trends and Future Directions,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:56.584951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 43461a53-4ff3-49b9-b820-f78b4335fb3f · outbound

This paper cites Electric power grid resilience to cyber adversaries,.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability Electric power grid resilience to cyber adversaries,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:56.568025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 811dee08-8a08-4398-86cc-599bbc6d7c62 · outbound

This paper cites False data injection attacks against state estimation in electric power grids,.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability False data injection attacks against state estimation in electric power grids,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:56.551927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 38e98766-fb0a-463e-b450-e2fe2d6829b2 · outbound

This paper cites A survey on the detection algo- rithms for false data injection attacks in smart grids,.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability A survey on the detection algo- rithms for false data injection attacks in smart grids,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:56.535829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ab61dc01-f1e9-42ca-9b3f-0839b2a94202 · outbound

This paper cites Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-12T19:46:56.364591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 550ea4d3-7dde-40d7-b9af-4e2e900ecf7d · outbound

This paper cites Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection,.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:56.210292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59a25467-74b7-4ce9-add2-4af117fb66dc · outbound

This paper cites Discovery of false data injection schemes on frequency controllers with reinforcement learning,.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability Discovery of false data injection schemes on frequency controllers with reinforcement learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:56.508770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2082c377-3887-4e4a-a6d7-11d6ef21f541 · outbound

This paper cites An adversarial multi-agent reinforcement learning framework for proactive false data injection detection,.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability An adversarial multi-agent reinforcement learning framework for proactive false data injection detection,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:56.492420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 983f4b21-4770-49bc-b6ce-84137569baa9 · outbound

This paper cites Explainability in deep reinforcement learning,.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability Explainability in deep reinforcement learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:56.476836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2b479083-fd68-4725-9237-d4b6dd37182e · outbound

This paper cites Autonomous self- explanation of behavior for interactive reinforcement learning agents,.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability Autonomous self- explanation of behavior for interactive reinforcement learning agents,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:56.460848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation caff7d12-4c71-4c57-82ab-c6c9df435caf · outbound

This paper cites An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:56.233452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79d4aa0a-16f2-479d-bdf6-7924393ffcb0 · outbound

This paper cites Reinforcement learning for optimal primary frequency control: A Lyapunov approach,.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability Reinforcement learning for optimal primary frequency control: A Lyapunov approach,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:56.445073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 74c6dc27-27d9-4584-86f6-7111007c695e · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability Overcoming catastrophic forgetting in neural networks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:56.243195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94c1618b-3d94-4d65-a7ff-ca8cd27fa9c3 · outbound

This paper cites Learning without forgetting,.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability Learning without forgetting,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:56.247432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3787ad47-9d96-42cc-bbd3-f53456506d04 · outbound

This paper cites Progressive Neural Networks.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability Progressive Neural Networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:56.251897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a35f479b-fbbf-464b-b58a-e303563b6d8d · outbound

This paper cites Gradient episodic memory for continual learning,.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability Gradient episodic memory for continual learning,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:56.256882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69479c2b-e676-4cc6-8f7e-4276f15b6ce3 · outbound

This paper cites A practical method for the direct analysis of transient stability,.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability A practical method for the direct analysis of transient stability,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:56.398199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 14319726-c535-4048-87bf-cf7d064dad8f · outbound

This paper cites Ray: A distributed framework for emerging AI applications,.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability Ray: A distributed framework for emerging AI applications,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:46:56.382921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7d4e8e01-aaf3-4089-b918-9c56113a1918 · outbound

This paper cites Policy Distillation.

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability Policy Distillation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:56.270116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.