Paper Citation Record · LEDGER

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research

As of 17 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2505.19322.

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

pith.paper-citation-record.v1
2505.19322 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:19:28.796741Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T04:50:31.532908Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:46:32.493458Z

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy7
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 65f3ad9f-f1a1-48ca-904b-31e86c31d797 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:25.704355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2d051ce-153d-4f59-ba1c-e26cf295e4e9 · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:25.802880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64a9ce07-e589-4d09-8557-b6b1f57cd919 · outbound

This paper cites Large generative ai models for telecom: The next big thing?.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research Large generative ai models for telecom: The next big thing?

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:31.396216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a50b430c-36ad-433f-9a77-d2c0665bf818 · outbound

This paper cites Transformer-empowered 6g intelligent networks: From massive mimo processing to semantic communication,.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research Transformer-empowered 6g intelligent networks: From massive mimo processing to semantic communication,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:31.116486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 49341aa4-365f-4df2-9752-02d5f66c5ddc · outbound

This paper cites an unresolved cited work.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:19:30.822321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b19b359c-b93e-4e8f-adf1-598e8937711d · outbound

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

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:26.341526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b702c724-4a01-455f-930a-bf246ed7ccd8 · outbound

This paper cites ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access Networks.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:26.462213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aad1e7df-9e23-4b33-8827-b9c16240849f · outbound

This paper cites TSpec-LLM: An Open-source Dataset for LLM Understanding of 3GPP Specifications.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research TSpec-LLM: An Open-source Dataset for LLM Understanding of 3GPP Specifications

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:26.572094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a61e86d9-9501-4639-97a7-af897453c2b2 · outbound

This paper cites SPEC5G: A Dataset for 5G Cellular Network Protocol Analysis.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research SPEC5G: A Dataset for 5G Cellular Network Protocol Analysis

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:26.714374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe350b00-5739-4e19-bba7-2c3cbef1de78 · outbound

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

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research The Power of Large Language Models for Wireless Communication System Development: A Case Study on FPGA Platforms

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:27.114127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07d79430-d080-4940-a419-e1fdf1c60f8e · outbound

This paper cites Unlocking telecom domain knowledge using llms,.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research Unlocking telecom domain knowledge using llms,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:30.538564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a30578bd-0d0c-4b90-ad8b-cf9b0542d13a · outbound

This paper cites Large language models for wireless networks: An overview from the prompt engineering perspective,.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research Large language models for wireless networks: An overview from the prompt engineering perspective,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:30.226185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c8202ca2-17ac-4a64-96fe-9cab2a914322 · outbound

This paper cites MM-LLMs: Recent Advances in MultiModal Large Language Models.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research MM-LLMs: Recent Advances in MultiModal Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:27.561893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8b60b73-6ec7-4235-8638-35fd9ca67fbe · outbound

This paper cites How powerful are decoder-only transformer neural models?.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research How powerful are decoder-only transformer neural models?

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:29.903980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c2582210-05d6-4aa0-964a-fa98933e9215 · outbound

This paper cites Mixtral of Experts.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research Mixtral of Experts

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:27.878460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f7f6c9a-64a6-4442-964a-16154f2f68c8 · outbound

This paper cites The llama 3 herd of models,.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research The llama 3 herd of models,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:28.007647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbd2d11f-fe7f-40fd-b3a8-44bb3c5bb29e · outbound

This paper cites The Faiss library.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research The Faiss library

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:28.178652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 875452f1-9969-4d4a-93f0-be0b1ab11f8d · outbound

This paper cites Ragas llm evaluator.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research Ragas llm evaluator

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:29.585833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cdd034e0-f788-4419-af9e-4563bc3fda9b · outbound

This paper cites Mistral 7B.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research Mistral 7B

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:28.464906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c9f98d6-f823-4956-ba64-f5993b8bf2e8 · outbound

This paper cites Jasper and Stella: distillation of SOTA embedding models.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research Jasper and Stella: distillation of SOTA embedding models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:28.796741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51d768d3-c6f3-4a32-9333-7554aadb5de9 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 263830494.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research Available: https://api.semanticscholar.org/CorpusID: 263830494

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:29.319919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7eb5c347-f304-4ecb-ac0e-2bbc9c2102c3 · outbound

This paper cites WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:26.997798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9e0c0ee8-33bc-423c-b110-a55ebf951fe3 · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T04:50:31.532908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76dfa5a9-5753-4e22-a3a7-98138eac7911 · inbound

Enwar 3.0: An Agentic Multi-Modal LLM Orchestrator for Situation-Aware Beamforming, Blockage Prediction, and Handover Management cites this paper.

Enwar 3.0: An Agentic Multi-Modal LLM Orchestrator for Situation-Aware Beamforming, Blockage Prediction, and Handover Management NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:46:32.497072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.