Paper Citation Record · LEDGER

PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning

As of 22 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2504.14749.

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

pith.paper-citation-record.v1
2504.14749 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:44:58.151295Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact2
verified fuzzy9
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 448850e6-492c-4754-83ba-c14ed9259f00 · outbound

This paper cites Energy efficiency enhancements in radio access networks,.

PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning Energy efficiency enhancements in radio access networks,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:44:58.452721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c5e74190-9ab4-45cd-b545-c2b56a3d6515 · outbound

This paper cites Energy-and spectral-efficiency trade-off in ofdma-based cooperative cognitive radio networks,.

PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning Energy-and spectral-efficiency trade-off in ofdma-based cooperative cognitive radio networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:44:58.436497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b729f501-f305-4910-befe-cd50e21cf8aa · outbound

This paper cites A survey of energy-efficient wireless communications,.

PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning A survey of energy-efficient wireless communications,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:44:58.418926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 565a0eec-cdc6-4b5d-ab7a-c8da350afdfd · outbound

This paper cites Holistic approach for future energy effi- cient cellular networks,.

PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning Holistic approach for future energy effi- cient cellular networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:44:58.401332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 869a7cdd-addb-4d03-942e-63fa76c03900 · outbound

This paper cites Towards Energy Efficient RAN: From Industry Standards to Trending Practice.

PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning Towards Energy Efficient RAN: From Industry Standards to Trending Practice

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:44:58.090161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20fffaad-34d6-471b-a597-c717ce84db01 · outbound

This paper cites Energy Saving in 6G O-RAN Using DQN-based xApp.

PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning Energy Saving in 6G O-RAN Using DQN-based xApp

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:44:58.096050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b4c8943-6753-40a6-959c-5fd75dbf91a0 · outbound

This paper cites Achieving energy efficiency in open radio access networks (oran) using xapps,.

PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning Achieving energy efficiency in open radio access networks (oran) using xapps,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:44:58.101821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7311d1d-a4b0-4ec7-bbcd-b85669fa4fd1 · outbound

This paper cites Energy efficiency in wireless: Ran and beyond,.

PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning Energy efficiency in wireless: Ran and beyond,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:44:58.373547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9b7e9661-e45f-4f72-a839-f67938e37e09 · outbound

This paper cites A survey of recent advances in optimization methods for wireless communications,.

PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning A survey of recent advances in optimization methods for wireless communications,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:44:58.111271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9c23578-0c48-4f55-bbc5-9cf40b8ed3ee · outbound

This paper cites an unresolved cited work.

PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:44:58.344079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 314ae9fd-e7d7-4af9-a849-b7659638fbc5 · outbound

This paper cites Cell-free massive mimo in o-ran: Energy-aware joint orchestration of cloud, fronthaul, and radio resources,.

PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning Cell-free massive mimo in o-ran: Energy-aware joint orchestration of cloud, fronthaul, and radio resources,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:44:58.328575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fbc70e92-f2e8-4069-8676-ae2f203def7f · outbound

This paper cites Design and Evaluation of Deep Reinforcement Learning for Energy Saving in Open RAN.

PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning Design and Evaluation of Deep Reinforcement Learning for Energy Saving in Open RAN

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:44:58.219041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 996c888c-4caf-4094-aae2-55b92ffed985 · outbound

This paper cites Enhancing Energy Efficiency in O-RAN Through Intelligent xApps Deployment.

PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning Enhancing Energy Efficiency in O-RAN Through Intelligent xApps Deployment

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:44:58.196102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06af7853-9547-4fe1-9aab-dffd614f20ec · outbound

This paper cites Landscape-enabled al- gorithmic design for the cell switch-off problem in 5g ultra-dense networks,.

PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning Landscape-enabled al- gorithmic design for the cell switch-off problem in 5g ultra-dense networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:44:58.312225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1912224e-f4b2-4b02-b1a1-2fea6a247a6c · outbound

This paper cites 5g; study on channel model for frequencies from 0.5 to 100 ghz (3gpp tr 38.901 version 15.0.0 release 15),.

PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning 5g; study on channel model for frequencies from 0.5 to 100 ghz (3gpp tr 38.901 version 15.0.0 release 15),

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:44:58.296033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 428c0abc-474b-4200-93fe-1b3281da51f0 · outbound

This paper cites 3rd generation partnership project (3gpp), “nr; radio resource control (rrc) protocol specification (release 18),.

PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning 3rd generation partnership project (3gpp), “nr; radio resource control (rrc) protocol specification (release 18),

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:44:58.280363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 723179bc-ad8d-4a25-8877-24274a2d00ad · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementa- tions,.

PPO-EPO: Energy and Performance Optimization for O-RAN Using Reinforcement Learning Stable-baselines3: Reliable reinforcement learning implementa- tions,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:44:58.151295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.