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Paper Citation Record · LEDGER

Offline and Distributional Reinforcement Learning for Radio Resource Management

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.16764.

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

pith.paper-citation-record.v1
2409.16764 v2

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:38:26.703308Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T15:55:04.414878Z

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 8a07c1c9-3bfd-45a8-bfec-462e9db6398f · inbound

An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management cites this paper.

An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management Offline and Distributional Reinforcement Learning for Radio Resource Management

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T16:38:26.703308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:38:26.703308Z digest=sha256:ba106ca7affea15d3b00dc87320a90ceb1d0e1cc6ac3dd45ca763da385c54003

Observation a153a9db-070d-46c7-9a1d-018bf8216fba · inbound

Resilient UAV Trajectory Planning via Few-Shot Meta-Offline Reinforcement Learning cites this paper.

Resilient UAV Trajectory Planning via Few-Shot Meta-Offline Reinforcement Learning Offline and Distributional Reinforcement Learning for Radio Resource Management

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-09T15:55:04.418589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T15:55:04.337532Z digest=sha256:96e84801330401d1b5e7bd4369b35ffad8d4746daf115fa5a1bd9ff79bda644c