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Paper Citation Record · LEDGER

Mobile Network-specialized Large Language Models for 6G: Architectures, Innovations, Challenges, and Future Trends

As of 17 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 3 inbound Pith citation observations for arXiv:2502.04933.

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

pith.paper-citation-record.v1
2502.04933 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:57:34.001807Z

measured 18 of 18 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:23:51.450104Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T01:04:44.446442Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 963bd173-b4d9-4a9c-a683-de6292fbd2cf · outbound

This paper cites Hybrid S elf- Organizing Networks: Evolution, Standardization Trends, and a 6G Ar- chitecture Vision,.

Mobile Network-specialized Large Language Models for 6G: Architectures, Innovations, Challenges, and Future Trends Hybrid S elf- Organizing Networks: Evolution, Standardization Trends, and a 6G Ar- chitecture Vision,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:57:34.131619Z

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.

source=pdf_text observed=2026-08-08T20:57:33.967458Z digest=sha256:966dfafa0d6c203a4ce7043cd4dd5e6d873d904c651a929ac805c4bd601c387b

Observation 3cfdf27b-159f-4bca-be51-5438431efc1f · outbound

This paper cites Attention is all you need,.

Mobile Network-specialized Large Language Models for 6G: Architectures, Innovations, Challenges, and Future Trends Attention is all you need,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:57:34.124900Z

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.

source=pdf_text observed=2026-08-08T20:57:33.970651Z digest=sha256:77a3733cf49f456de4f43a7b9aba40df5179aa6990841c9bb7f7e30f44cb5443

Observation 37a9bbeb-b169-42d0-aef9-97b2400771c9 · outbound

This paper cites Large Language Models for Telecom: Forthcoming Impact on t he Industry,.

Mobile Network-specialized Large Language Models for 6G: Architectures, Innovations, Challenges, and Future Trends Large Language Models for Telecom: Forthcoming Impact on t he Industry,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:57:34.118175Z

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.

source=pdf_text observed=2026-08-08T20:57:33.973123Z digest=sha256:12c0cc72c881ae4eb78c588cd277b04c41b62e3bcdb23f3e15c2c069f41521d8

Observation 9e836268-98fe-43bc-9321-f543e78e9b70 · outbound

This paper cites Mobile-LLaMA: Instr uction Fine-Tuning Open-Source LLM for Network Analysis in 5G Netw orks,.

Mobile Network-specialized Large Language Models for 6G: Architectures, Innovations, Challenges, and Future Trends Mobile-LLaMA: Instr uction Fine-Tuning Open-Source LLM for Network Analysis in 5G Netw orks,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:57:34.111539Z

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.

source=pdf_text observed=2026-08-08T20:57:33.976039Z digest=sha256:686e446dc2ef2d06ec88222078c24fb03049f79d3f9d898188f4a71572100930

Observation 7e1b5e99-305c-4c8c-807d-48e50e1cea49 · outbound

This paper cites NetConfEval: Can LLMs Facilitate Network Config ura- tion?.

Mobile Network-specialized Large Language Models for 6G: Architectures, Innovations, Challenges, and Future Trends NetConfEval: Can LLMs Facilitate Network Config ura- tion?

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:57:34.103558Z

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.

source=pdf_text observed=2026-08-08T20:57:33.978595Z digest=sha256:38f519635a5d2198e76d17e7925b2e0bb206bd9a1ff0261f3de334a186c15ba6

Observation c1716eaf-0df0-4e41-bb37-c6a77176eee7 · outbound

This paper cites Tele-Knowledge Pre-training for Fault Analys is,.

Mobile Network-specialized Large Language Models for 6G: Architectures, Innovations, Challenges, and Future Trends Tele-Knowledge Pre-training for Fault Analys is,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:57:34.096526Z

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.

source=pdf_text observed=2026-08-08T20:57:33.980965Z digest=sha256:34001fc4d50cffb8df273c4a20efdd6910aa8d849aa068792367e8df0e66658d

Observation 12be9f33-6877-43f2-9ebe-a5f094ef7700 · outbound

This paper cites 5G INSTRUCT Forge: An Advanced Data Engineerin g Pipeline for Making LLMs Learn 5G,.

Mobile Network-specialized Large Language Models for 6G: Architectures, Innovations, Challenges, and Future Trends 5G INSTRUCT Forge: An Advanced Data Engineerin g Pipeline for Making LLMs Learn 5G,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:57:34.089480Z

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.

source=pdf_text observed=2026-08-08T20:57:33.984027Z digest=sha256:88c32a7da7296f2916cfd7c0a2419072cad085ab4a44486918344dd149c647fe

Observation 211735e6-9fb6-4be1-9152-fdc9abc06edb · outbound

This paper cites Large Generative AI Models for Telecom: The Next Big Thing?.

Mobile Network-specialized Large Language Models for 6G: Architectures, Innovations, Challenges, and Future Trends Large Generative AI Models for Telecom: The Next Big Thing?

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:57:34.081602Z

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.

source=pdf_text observed=2026-08-08T20:57:33.986161Z digest=sha256:8222e2b7db4a4fba6696d5b72fa954d319bd65d50526b3708b6cd14f94b99e31

Observation 7f913357-8521-4328-853f-ae33e3a1fdc7 · outbound

This paper cites Large Language Model (LLM) for Telecommunications: A Comprehens ive Survey on Principles, Key Techniques, and Opportunities,.

Mobile Network-specialized Large Language Models for 6G: Architectures, Innovations, Challenges, and Future Trends Large Language Model (LLM) for Telecommunications: A Comprehens ive Survey on Principles, Key Techniques, and Opportunities,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:57:34.073952Z

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.

source=pdf_text observed=2026-08-08T20:57:33.988317Z digest=sha256:8c1ff06e5f833115cd49859b8ea91530f9bdf6f2d98ebf50d582024db48e8438

Observation 70dae33a-bf78-4134-a38c-453dcf98bf1f · outbound

This paper cites Resilienc e-by-Design in 6G Networks: Literature Review and Novel Enabling Concep ts,.

Mobile Network-specialized Large Language Models for 6G: Architectures, Innovations, Challenges, and Future Trends Resilienc e-by-Design in 6G Networks: Literature Review and Novel Enabling Concep ts,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:57:34.065616Z

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.

source=pdf_text observed=2026-08-08T20:57:33.990511Z digest=sha256:6d394d03709427844558b77b2912c2ba7e4f5a594bfbd3783cf7c56dbcc060ee

Observation 0d7b3364-e5a8-4ed9-88f0-b857d30e5362 · outbound

This paper cites Understanding Telecom Language Through Large Language Mo dels,.

Mobile Network-specialized Large Language Models for 6G: Architectures, Innovations, Challenges, and Future Trends Understanding Telecom Language Through Large Language Mo dels,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:57:34.057907Z

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.

source=pdf_text observed=2026-08-08T20:57:33.992714Z digest=sha256:af5272a8494909839157d7b5b1de1cb5c86a999dfe7989762cac9c0ea37d005b

Observation 717ee14a-f5d6-44b8-969d-cc110616beac · outbound

This paper cites Observations on LLMs for telecom dom ain: capabilities and limitations,.

Mobile Network-specialized Large Language Models for 6G: Architectures, Innovations, Challenges, and Future Trends Observations on LLMs for telecom dom ain: capabilities and limitations,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:57:34.050179Z

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.

source=pdf_text observed=2026-08-08T20:57:33.994905Z digest=sha256:f735ba88ad28c6f3eca4d7c7d5f123b59cea419993607f1a3dd950413ca84be2

Observation 593720aa-3d5d-41af-9fad-b7cbd40dd7d9 · outbound

This paper cites INGR Road map System Optimization Chapter,.

Mobile Network-specialized Large Language Models for 6G: Architectures, Innovations, Challenges, and Future Trends INGR Road map System Optimization Chapter,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:57:34.041512Z

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.

source=pdf_text observed=2026-08-08T20:57:33.997162Z digest=sha256:ff424937b73e436555078c8fce0cca5c508c28ac4387b1cb01502708bb1184c4

Observation 69021a13-2a8d-4724-98fb-c20fcd37cbd7 · outbound

This paper cites RestGPT: Connecting Large Language Models with Real-World RESTful APIs.

Mobile Network-specialized Large Language Models for 6G: Architectures, Innovations, Challenges, and Future Trends RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T20:57:33.999299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:57:33.999299Z digest=sha256:fa59521017204d2ff5ab7c85454b4c39bd6bbc03ac8b2d856b5635ed24ef3e96

Observation 17a08e1d-979e-492d-8108-8eeb5f432658 · outbound

This paper cites A Survey on Sym bolic Knowledge Distillation of Large Language Models,.

Mobile Network-specialized Large Language Models for 6G: Architectures, Innovations, Challenges, and Future Trends A Survey on Sym bolic Knowledge Distillation of Large Language Models,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:57:34.032804Z

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.

source=pdf_text observed=2026-08-08T20:57:34.001807Z digest=sha256:344468b22eb62d991289f46f817f1443904f04bbe5e9711354eaaed80c8f5e56

Pith citing papers

Observation 953a0737-66e7-4f6f-8644-d848c1983e28 · inbound

Exploring the Role of Large Language Models in Cybersecurity: A Systematic Survey cites this paper.

Exploring the Role of Large Language Models in Cybersecurity: A Systematic Survey Mobile Network-specialized Large Language Models for 6G: Architectures, Innovations, Challenges, and Future Trends

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-16T11:23:51.450104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:23:51.450104Z digest=sha256:996d2d27344ff837cd79d00ea976c5778fc8d0069b114201cdb43e0709f3c760

Observation be885fd4-eab1-4c81-a389-761a39237aac · inbound

OSI Stack Redesign for Quantum Networks: Requirements, Technologies, Challenges, and Future Directions cites this paper.

OSI Stack Redesign for Quantum Networks: Requirements, Technologies, Challenges, and Future Directions Mobile Network-specialized Large Language Models for 6G: Architectures, Innovations, Challenges, and Future Trends

Reference 113

Resolution
verified exact
local_arxiv, observed 2026-08-07T01:04:44.452014Z

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.

source=pdf_text observed=2026-08-07T01:04:40.754427Z digest=sha256:f497e0873bb4896e6e10415602e5d0c92a7569abd2ea32781a325374dc09d0f6

Observation 23649005-ad5b-4ef2-b3f7-51ddfc1ed65e · inbound

WiLLM: an Open Framework for LLM Services over Wireless Systems cites this paper.

WiLLM: an Open Framework for LLM Services over Wireless Systems Mobile Network-specialized Large Language Models for 6G: Architectures, Innovations, Challenges, and Future Trends

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T18:45:17.869442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:45:17.869442Z digest=sha256:3054b40375417eba88945b447e941bbdaed581406ea71641cae03247edcf47d9