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Paper Citation Record · LEDGER

Offline and Distributional Reinforcement Learning for Wireless Communications

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.03804.

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

pith.paper-citation-record.v1
2504.03804 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:23:46.704475Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T19:16:14.141069Z

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 c2b83c0e-d117-43dc-ac46-2742b57a2974 · inbound

Symbiotic Agents: A Novel Paradigm for Trustworthy AGI-driven Networks cites this paper.

Symbiotic Agents: A Novel Paradigm for Trustworthy AGI-driven Networks Offline and Distributional Reinforcement Learning for Wireless Communications

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T18:23:46.704475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:23:46.704475Z digest=sha256:0bf59b15fc7a4ef0c09afc39155341f30378a60b94babd685599d842e84f0878

Observation aedd2b62-7996-47b5-bcbb-b7c34af1eb39 · inbound

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference cites this paper.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Offline and Distributional Reinforcement Learning for Wireless Communications

Reference 2019

Resolution
verified exact
local_arxiv, observed 2026-08-07T19:16:14.152411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T19:16:13.902793Z digest=sha256:86c05929adda1af962aaf626e61efd8dc7e31558cb9930d5cf9f0706189b0cf1