Paper Citation Record · LEDGER

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids

As of 18 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2607.05553.

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

pith.paper-citation-record.v1
2607.05553 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T05:54:35.189048Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:07:33.062876Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 745d9cb0-0bc4-4747-a32f-a7873a55ff8f · outbound

This paper cites Evaluating in- terpretable kolmogorov–arnold network controllers for smart grid re- silience,.

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids Evaluating in- terpretable kolmogorov–arnold network controllers for smart grid re- silience,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T05:54:35.189048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b278299-0f0f-4c95-8193-2973511196c3 · outbound

This paper cites An interpretable federated learning control framework design for smart grid resilience,.

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids An interpretable federated learning control framework design for smart grid resilience,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T05:54:35.189048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b262a3b-0792-44a4-9ce8-2d808a797c09 · outbound

This paper cites an unresolved cited work.

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T05:54:35.189048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ee739af-03e8-49ed-9491-43735b535262 · outbound

This paper cites Nontrivial kron reduction for power grid dynamics modeling,.

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids Nontrivial kron reduction for power grid dynamics modeling,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T05:54:35.189048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 875b0574-1f66-4b0b-9697-babaf4ed5370 · outbound

This paper cites A resilient feedback linearization control scheme for smart grids under cyber-physical distur- bances,.

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids A resilient feedback linearization control scheme for smart grids under cyber-physical distur- bances,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T05:54:35.189048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67b8efd9-3cb1-4fdc-9e61-f3c537ef8e2e · outbound

This paper cites An Initial Introduction to Cooperative Multi-Agent Reinforcement Learning.

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids An Initial Introduction to Cooperative Multi-Agent Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T05:54:35.189048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d20c24f3-d20e-4b6b-9ca1-69e3b077a663 · outbound

This paper cites Graph Convolutional Reinforcement Learning.

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids Graph Convolutional Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T05:54:35.189048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 540a7742-1797-4103-9074-8f0f14e4cd8b · outbound

This paper cites Proximal Policy Optimization Algorithms.

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids Proximal Policy Optimization Algorithms

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T05:54:35.189048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b0b4c4c-8791-41f3-8c21-c7caf9c84122 · outbound

This paper cites High- dimensional continuous control using generalized advantage estimation,.

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids High- dimensional continuous control using generalized advantage estimation,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T05:54:35.189048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bb0ffce-304f-47f7-95a6-f9ec2bdaf802 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T05:54:35.189048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82466a56-f4b8-4613-b945-999c0e3779e0 · outbound

This paper cites A survey of imitation learning: Algorithms, recent developments, and challenges,.

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids A survey of imitation learning: Algorithms, recent developments, and challenges,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T05:54:35.189048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3ec530a-6397-4f0e-9fe2-30eff2b308dc · outbound

This paper cites Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach,.

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T05:54:35.189048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81b1ae49-9821-4342-a00f-99605c2fe0bc · outbound

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

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids A practical method for the direct analysis of transient stability,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T05:54:35.189048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 214a5575-48ac-4876-8557-b36d33014352 · outbound

This paper cites Measuring relays and protection equipment – part 118-1: Synchrophasor for power systems – measurements,.

Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids Measuring relays and protection equipment – part 118-1: Synchrophasor for power systems – measurements,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T05:54:35.189048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 8bb76d79-835a-4776-9817-e050c5104661 · inbound

Engineering Trustworthy Agentic AI for Critical Systems cites this paper.

Engineering Trustworthy Agentic AI for Critical Systems Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-01T15:07:33.062876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.