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Paper Citation Record · LEDGER

Hierarchical Reinforcement Learning for Power Network Topology Control

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.02129.

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

pith.paper-citation-record.v1
2311.02129 v1

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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:52:16.348217Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:25:05.682352Z

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 d322c573-cdc4-4e52-a7a9-665a859b323f · inbound

Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control cites this paper.

Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control Hierarchical Reinforcement Learning for Power Network Topology Control

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T05:52:16.348217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:52:16.348217Z digest=sha256:53919959777d239f23b1fac44ccbf536c4bd1955bd4c909e4bb1fa4503034921

Observation 5ace15bf-8557-46d9-9d25-a5c6a7df2ef8 · inbound

Power Grid Control with Graph-Based Distributed Reinforcement Learning cites this paper.

Power Grid Control with Graph-Based Distributed Reinforcement Learning Hierarchical Reinforcement Learning for Power Network Topology Control

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:25:05.685264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T11:25:05.284547Z digest=sha256:7793010d4b4cff824234ebe64f91059e4878fd86ceaba22f393f94d161345139

Observation 0a14e776-87ac-449e-a90d-da9df4f59e9d · inbound

Hierarchical Multi-Agent Reinforcement Learning for Carbon-Aware AI Data Centers in Power Distribution Systems cites this paper.

Hierarchical Multi-Agent Reinforcement Learning for Carbon-Aware AI Data Centers in Power Distribution Systems Hierarchical Reinforcement Learning for Power Network Topology Control

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-12T03:16:38.965369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T03:16:38.965369Z digest=sha256:700d2a509fb375cf15d52d9b17966e65d82efefdf3a5577aaf9f786883752752