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Paper Citation Record · LEDGER

Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RAN

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.03737.

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

pith.paper-citation-record.v1
2410.03737 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:06:17.285721Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:10:15.129496Z

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 d5db0f7d-2bb4-4aba-b234-e26c7c5b5474 · inbound

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing cites this paper.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RAN

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T12:06:17.285721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:06:17.285721Z digest=sha256:4f794cc872a8a64e4bfde6267a92248ce40e42669dee5dc89ec357360405e8b4

Observation 414154e9-096b-4cad-915e-802172be3e2e · inbound

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks cites this paper.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RAN

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:10:15.163855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:10:14.222126Z digest=sha256:c283e69491051429a3c87bb83d68147d56228d599a3fbacf53c5e0910d750002