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Paper Citation Record · LEDGER

Deep Reinforcement Learning for Network Energy Saving in 6G and Beyond Networks

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.10974.

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

pith.paper-citation-record.v1
2408.10974 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:41:18.431320Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:46:16.391897Z

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 1615c2f7-921c-4a9c-a243-b59b5759cad3 · inbound

Network Digital Twin for 6G and Beyond: An End-to-End View Across Multi-Domain Network Ecosystems cites this paper.

Network Digital Twin for 6G and Beyond: An End-to-End View Across Multi-Domain Network Ecosystems Deep Reinforcement Learning for Network Energy Saving in 6G and Beyond Networks

Reference 113

Resolution
unresolved
no resolver link, observed 2026-08-07T11:41:18.431320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:41:18.431320Z digest=sha256:00f65b51ef51c74257b09309386f7c2f4abeceb215bac1ea721c1cd70b084841

Observation a3a8557e-7a37-4398-ba02-97a66088a899 · inbound

Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks cites this paper.

Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks Deep Reinforcement Learning for Network Energy Saving in 6G and Beyond Networks

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:46:16.393413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T16:16:36.410193Z digest=sha256:c0eb05f19732587dc3511a083df543f282d2285d227a3b898fc2dcdb086accc2