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Paper Citation Record · LEDGER

A Review of Safe Reinforcement Learning Methods for Modern Power Systems

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.00304.

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

pith.paper-citation-record.v1
2407.00304 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:12:02.862456Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:12:02.948290Z

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 c509cbc3-51ee-4a07-8c10-67f66dea2a16 · inbound

Gaussian Processes in Power Systems: Techniques, Applications, and Future Works cites this paper.

Gaussian Processes in Power Systems: Techniques, Applications, and Future Works A Review of Safe Reinforcement Learning Methods for Modern Power Systems

Reference 144

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:12:02.954282Z

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.

source=pdf_text observed=2026-08-07T15:12:02.862456Z digest=sha256:62ef7e3332575876cbdc0b8bed8624aab94145a71a1de3a5331d60094ce2d9f7

Observation f4238ff7-7f5d-4e9f-b6de-320f2a24cb54 · inbound

Universal Graph Learning for Power System Reconfigurations: Transfer Across Topology Variations cites this paper.

Universal Graph Learning for Power System Reconfigurations: Transfer Across Topology Variations A Review of Safe Reinforcement Learning Methods for Modern Power Systems

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T20:19:03.615935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:19:03.615935Z digest=sha256:ec465360dc19394bbe61400adb8e3d4c19584d6532826208e2e4d68923aa05e2

Observation 297f40ce-f56f-4ad4-83e1-95310e4de010 · inbound

Audited Selective Verification for Risk-Controlled N-1 Thermal Contingency Screening under Deployment Shift cites this paper.

Audited Selective Verification for Risk-Controlled N-1 Thermal Contingency Screening under Deployment Shift A Review of Safe Reinforcement Learning Methods for Modern Power Systems

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T05:57:56.027662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:57:56.027662Z digest=sha256:7f422e54a85a67d03e4556801b26c06100ce112f30ca8969dfa92b5dc2220c92