Paper Citation Record · LEDGER

EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN

As of 14 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2608.06789.

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

pith.paper-citation-record.v1
2608.06789 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:53:12.299183Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

15 of 15 outbound references displayed

verified exact1
verified fuzzy9
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dafefeb2-32f0-4545-bd17-e5c5bbd9751f · outbound

This paper cites Un- derstanding O-RAN: Architecture, interfaces, algorithms , security, and research challenges,.

EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN Un- derstanding O-RAN: Architecture, interfaces, algorithms , security, and research challenges,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:12.608932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d224d70f-08a5-4577-a53c-3966d3b677ca · outbound

This paper cites Resource allocation for network slicing in open RAN: A hier archical learning approach,.

EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN Resource allocation for network slicing in open RAN: A hier archical learning approach,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:12.594210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 21761f9f-d8ee-40c2-8f8f-e2108c9fd9c1 · outbound

This paper cites LLM-empowered resource allocation i n wireless communications systems,.

EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN LLM-empowered resource allocation i n wireless communications systems,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:12.578639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f0672dfc-3b55-4a9d-84d5-7b47971d0862 · outbound

This paper cites Prompting Wireless Networks: Reinforced In-Context Learning for Power Control.

EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN Prompting Wireless Networks: Reinforced In-Context Learning for Power Control

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:53:12.459481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4c893aee-672e-41be-a067-7b28abd34856 · outbound

This paper cites LLM- hRIC: LLM-empowered hierarchical RAN intelligent control for O-RAN,.

EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN LLM- hRIC: LLM-empowered hierarchical RAN intelligent control for O-RAN,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:12.562024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8716ad8e-6326-4912-aaaa-826263b9df72 · outbound

This paper cites LLM4WM: Adap ting LLM for wireless multi-tasking,.

EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN LLM4WM: Adap ting LLM for wireless multi-tasking,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:12.543180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation adc832b7-70bb-4a32-b7a8-182b35763091 · outbound

This paper cites Empowering large language models in wireless communi cation: A novel dataset and ﬁne-tuning framework,.

EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN Empowering large language models in wireless communi cation: A novel dataset and ﬁne-tuning framework,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:12.524441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 46d0eb53-e533-4178-88dd-2e1641651403 · outbound

This paper cites Mobile-LLaMA: Instr uction ﬁne-tuning open-source LLM for network analysis in 5G netwo rks,.

EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN Mobile-LLaMA: Instr uction ﬁne-tuning open-source LLM for network analysis in 5G netwo rks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:12.508672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5c360667-5fde-4172-aef7-a9a0500c03f3 · outbound

This paper cites ORAN-Bench-13K: An open source bench- mark for assessing LLMs in open radio access networks,.

EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN ORAN-Bench-13K: An open source bench- mark for assessing LLMs in open radio access networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:12.491605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d9ba0ed0-8143-432e-bbba-0fb40675d299 · outbound

This paper cites LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities.

EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:12.272937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c44b7b6f-1cca-479e-803d-f3d68813f997 · outbound

This paper cites Rethinking KL regu larization in RLHF: From value estimation to gradient optimization,.

EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN Rethinking KL regu larization in RLHF: From value estimation to gradient optimization,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:12.278491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb88ee21-f6bb-41b5-8074-ac44e4d75faa · outbound

This paper cites The Llama 3 Herd of Models.

EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN The Llama 3 Herd of Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:12.283532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e071dc90-119b-48dc-ae11-3fda933bdda2 · outbound

This paper cites DeepSeek-V3 Technical Report.

EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN DeepSeek-V3 Technical Report

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:12.288755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f315c6d5-a956-40f0-80da-e1c557de6934 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:12.293955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc511ca8-22db-464a-9d5b-a8120b93e562 · outbound

This paper cites CVXPY: A Python-embedded model ing lan- guage for convex optimization,.

EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN CVXPY: A Python-embedded model ing lan- guage for convex optimization,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:12.476182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.