Paper Citation Record · LEDGER

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 4 inbound Pith citation observations for arXiv:2507.21696.

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

pith.paper-citation-record.v1
2507.21696 v4

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:30:39.990628Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:20:59.139146Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T01:23:49.505105Z

Reference resolution

29 of 29 outbound references displayed

verified exact1
verified fuzzy19
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f391563b-82f7-4994-afe1-b5c2dc74ac18 · outbound

This paper cites Transition technologies towards 6g networks.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Transition technologies towards 6g networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:40.492585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e42e854c-f8b1-47a2-b805-ff8d2d514ca3 · outbound

This paper cites Oran-map: A hybrid approach to mobility-aware power optimisation in open radio access networks (oran).

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Oran-map: A hybrid approach to mobility-aware power optimisation in open radio access networks (oran)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:40.485539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 238e33b7-016d-403d-93a2-f0447d1e88f2 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T12:30:39.923932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee6a414e-d480-4cef-86a3-49f1a13b1e2a · outbound

This paper cites Llm-driven agentic ai approach to enhanced o-ran resilience in next-generation networks, May 2025.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Llm-driven agentic ai approach to enhanced o-ran resilience in next-generation networks, May 2025

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:40.478248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5caca143-129c-48e6-bde7-b0835de67397 · outbound

This paper cites PersonaGym: Evaluating Persona Agents and LLMs.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN PersonaGym: Evaluating Persona Agents and LLMs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T12:30:39.929548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c14a9fa-c4c3-4ffe-8301-c7cbd3ed3198 · outbound

This paper cites ChatHaruhi: Reviving Anime Character in Reality via Large Language Model.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN ChatHaruhi: Reviving Anime Character in Reality via Large Language Model

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T12:30:39.932289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94ae557a-b676-4afa-8b18-7ba81ddfa065 · outbound

This paper cites Better Zero-Shot Reasoning with Role-Play Prompting.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Better Zero-Shot Reasoning with Role-Play Prompting

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T12:30:39.935329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23fe2058-792e-4e80-bdcc-0e369a37b1a6 · outbound

This paper cites Softbank corp.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Softbank corp

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:40.470457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 96a7546e-86be-4292-b453-a3c0d6de210e · outbound

This paper cites Nvidia ai aerial launches to optimize wireless networks, deliver new generative ai experiences on one platform.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Nvidia ai aerial launches to optimize wireless networks, deliver new generative ai experiences on one platform

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:40.463338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 092198e0-1352-44d9-8433-070820056031 · outbound

This paper cites Evaluating generative ai for telecom.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Evaluating generative ai for telecom

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:40.455925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 64ff1af3-7297-4439-9910-8c7214c314f1 · outbound

This paper cites Deploy ai-ran at cell sites with nvidia arc-compact.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Deploy ai-ran at cell sites with nvidia arc-compact

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:40.448819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 81d871da-0d45-4dd6-b3d4-418e0a4c11e4 · outbound

This paper cites Joint admission control and resource provisioning for urllc traffic in o-ran: A constrained multi- agent reinforcement learning approach, May 2025.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Joint admission control and resource provisioning for urllc traffic in o-ran: A constrained multi- agent reinforcement learning approach, May 2025

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:40.441782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 08c97512-c742-47f2-9c30-88980a06ef6f · outbound

This paper cites Explainable ai in 6g o-ran: A tutorial and survey on architecture, use cases, challenges, and future research.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Explainable ai in 6g o-ran: A tutorial and survey on architecture, use cases, challenges, and future research

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:40.434277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 54a45e1e-c13c-43dd-86f1-1808bf9e6e5b · outbound

This paper cites FedORA: Resource Allocation for Federated Learning in ORAN using Radio Intelligent Controllers.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN FedORA: Resource Allocation for Federated Learning in ORAN using Radio Intelligent Controllers

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:30:40.317976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 93515012-64ed-4494-940a-046c27959dbc · outbound

This paper cites Alympics: Llm agents meet game theory.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Alympics: Llm agents meet game theory

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:40.426344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bcf4d2af-5ec5-44a0-8e26-7743d8ec65f3 · outbound

This paper cites TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T12:30:39.957816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c237ae26-c389-4a95-863a-b0cd88442a78 · outbound

This paper cites Advanced architectures integrated with agentic ai for next-generation wireless networks.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Advanced architectures integrated with agentic ai for next-generation wireless networks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T12:30:39.960572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31566e6e-be2c-49fb-9631-feb76d533484 · outbound

This paper cites The Power of Large Language Models for Wireless Communication System Development: A Case Study on FPGA Platforms.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN The Power of Large Language Models for Wireless Communication System Development: A Case Study on FPGA Platforms

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T12:30:39.963291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9561de62-4b4c-454a-8a7c-dfca391392c1 · outbound

This paper cites Llm-based policy generation for intent-based management of applications.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Llm-based policy generation for intent-based management of applications

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:40.419127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 098e7ec8-9da6-4c7d-816d-a71c958df219 · outbound

This paper cites What do llms need to synthesize correct router configurations? In Proceedings of the 22nd ACM Workshop on Hot Topics in Networks , pages 189–195, 2023.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN What do llms need to synthesize correct router configurations? In Proceedings of the 22nd ACM Workshop on Hot Topics in Networks , pages 189–195, 2023

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:40.411654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae791450-971f-480e-b54d-f3088c3ae928 · outbound

This paper cites Toward reproducing network research results using large language models.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Toward reproducing network research results using large language models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:40.403904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 467b3dea-1ad4-46a1-87c6-9297f82036ab · outbound

This paper cites Wireless Multi-Agent Generative AI: From Connected Intelligence to Collective Intelligence.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Wireless Multi-Agent Generative AI: From Connected Intelligence to Collective Intelligence

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T12:30:39.973326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61a75cbb-ee2a-4deb-9485-ccdbb7e86547 · outbound

This paper cites Edgefm: Leveraging foundation model for open-set learning on the edge.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Edgefm: Leveraging foundation model for open-set learning on the edge

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:40.396267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aa6cdb45-454b-4820-a9c3-9def87f41ace · outbound

This paper cites Et-bert: A contextualized datagram representation with pre-training transformers for encrypted traffic classification.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Et-bert: A contextualized datagram representation with pre-training transformers for encrypted traffic classification

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:40.388059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 158fe600-ef6b-423d-b6c2-3bc5a8a134f2 · outbound

This paper cites Reward Design with Language Models.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Reward Design with Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T12:30:39.980782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 937dce6a-a013-4647-9c9a-bcadbe7fe286 · outbound

This paper cites Diagnosing infeasible optimization problems using large language models.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Diagnosing infeasible optimization problems using large language models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:40.380056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1b8ae0db-3548-42da-bda2-7804bcd63136 · outbound

This paper cites Large language models empowered autonomous edge ai for connected intelligence.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Large language models empowered autonomous edge ai for connected intelligence

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:40.372184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 18a097ec-9a91-439d-a7e9-4787d6974554 · outbound

This paper cites Parameter-efficient fine-tuning of large-scale pre-trained language models.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Parameter-efficient fine-tuning of large-scale pre-trained language models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:40.364257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f586b3be-fe30-45e3-a597-eae6beaad537 · outbound

This paper cites Mobile- llama: Instruction fine-tuning open-source llm for network analysis in 5g networks.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN Mobile- llama: Instruction fine-tuning open-source llm for network analysis in 5g networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:40.356342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 163f1d8d-fc60-4952-932d-e9b1d469ef6d · inbound

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions cites this paper.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T16:20:59.139146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 521ce2b1-9303-49b0-b777-fc26bcce037e · inbound

Agentic AI for 6G: A New Paradigm for Autonomous RAN Security Compliance cites this paper.

Agentic AI for 6G: A New Paradigm for Autonomous RAN Security Compliance Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:43:37.802322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 68f9dfa0-dc1f-4a65-bbdf-02639badb5df · inbound

Reflection-Driven Self-Optimization 6G Agentic AI RAN via Simulation-in-the-Loop Workflows cites this paper.

Reflection-Driven Self-Optimization 6G Agentic AI RAN via Simulation-in-the-Loop Workflows Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-17T01:23:49.507787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8fb3a77f-f4cc-42c1-8d5a-f834bbbb8c8f · inbound

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models cites this paper.

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T11:01:43.536920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.