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Paper Citation Record · LEDGER

Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1808.00490.

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

pith.paper-citation-record.v1
1808.00490 v3

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:00:28.078802Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T19:31:10.385570Z

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 57e6fe44-9b0d-4495-9e84-e3b5a91eb082 · inbound

When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework cites this paper.

When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-25T19:31:10.388467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-25T19:27:30.645172Z digest=sha256:71c81319efa630613cb38989dc22a80c7394e708b335c38b8ec683c8ad487a00

Observation 82eb7dc5-c57a-4b79-adf7-8cdf9ca5bd68 · inbound

Learn to Compress CSI and Allocate Resources in Vehicular Networks cites this paper.

Learn to Compress CSI and Allocate Resources in Vehicular Networks Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-14T14:00:28.078802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:00:28.078802Z digest=sha256:0daf62acb5e2b2464d405c40c1708d4ca3e0bde8ab7f5d37470f6ad428459be2