Paper Citation Record · LEDGER

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks

As of 10 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2604.03282.

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

pith.paper-citation-record.v1
2604.03282 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T00:30:09.758339Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

19 of 19 outbound references displayed

verified exact1
verified fuzzy17
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b178270-0912-4fe7-9373-e787ee0d4e89 · outbound

This paper cites Framework, Use Cases and Requirements for AI Agent Protocols.

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks Framework, Use Cases and Requirements for AI Agent Protocols

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:05:30.432905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6d3413e1-53fc-4d9e-946f-4da26921f804 · outbound

This paper cites Experiential Networked Intelligence (ENI); Study on Multi-Agent Frameworks for Next-Generation Core Networks (GR ENI 056).

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks Experiential Networked Intelligence (ENI); Study on Multi-Agent Frameworks for Next-Generation Core Networks (GR ENI 056)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:05:30.427430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7ea941e5-51df-44c3-b617-83fbef9e3e14 · outbound

This paper cites A survey on large language models for communication, network, and service management: Application insights, challenges, and future directions.

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks A survey on large language models for communication, network, and service management: Application insights, challenges, and future directions

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:05:30.421235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 43325b2c-346e-457f-88c4-e9441b96ef6d · outbound

This paper cites Large language models and artificial intelligence generated content technologies meet communication networks.

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks Large language models and artificial intelligence generated content technologies meet communication networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:05:30.430206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 32a843dd-9b6b-444a-b270-485b6666a007 · outbound

This paper cites Decision-making large language model for wireless communication: A comprehensive survey on key techniques.

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks Decision-making large language model for wireless communication: A comprehensive survey on key techniques

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:05:30.437879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 66fd7d4a-b079-46f6-94bf-3ab24e71e7f3 · outbound

This paper cites Llm-driven multi-agent architectures for intelligent self-organizing net- works.

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks Llm-driven multi-agent architectures for intelligent self-organizing net- works

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:05:30.435335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ef579186-be13-47f0-b02f-d42778b14ecf · outbound

This paper cites Teleqna: A benchmark dataset to assess large language models telecommunications knowledge.

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks Teleqna: A benchmark dataset to assess large language models telecommunications knowledge

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:05:30.443156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 350d0ff3-3295-4502-929a-feb3ba43d053 · outbound

This paper cites Telecomgpt: A framework to build telecom-specific large language models.

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks Telecomgpt: A framework to build telecom-specific large language models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:05:30.454460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cb18db2b-f7c5-4c0a-8e73-d9f3e53bc5fe · outbound

This paper cites An empirical study of code generation errors made by large language models.

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks An empirical study of code generation errors made by large language models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:05:30.424334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4f246174-3ae5-4e21-a012-bc419e436bfa · outbound

This paper cites Experien- tial Networked Intelligence (ENI); Study on AI Agents based Next- generation Network Slicing (GR ENI 051).

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks Experien- tial Networked Intelligence (ENI); Study on AI Agents based Next- generation Network Slicing (GR ENI 051)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:05:30.440450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 781186b4-9beb-482a-b46f-5776e34fe630 · outbound

This paper cites A-core: A novel framework of agentic ai in the 6g core network.

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks A-core: A novel framework of agentic ai in the 6g core network

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:05:30.446059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6416c766-adc7-4278-a19b-f1fde33ad67d · outbound

This paper cites Taco - a generative ai copilot for intent-based telecommunication core network analysis.

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks Taco - a generative ai copilot for intent-based telecommunication core network analysis

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:05:30.451503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e54aa533-a4ed-4166-85b5-3f886b12d519 · outbound

This paper cites Model Context Protocol.

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks Model Context Protocol

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:05:30.448816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 201f05fa-2d7b-4516-9845-0cd3b39e4059 · outbound

This paper cites Study on architecture enhancement for extended reality and media service (xrm).

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks Study on architecture enhancement for extended reality and media service (xrm)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:05:30.415492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0895d3a3-32a7-41b1-9ba6-53796383b594 · outbound

This paper cites an unresolved cited work.

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-05-15T11:05:30.418337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4d8cf607-fe14-4124-8539-c2573655dfc1 · outbound

This paper cites Rfc 7231: Hypertext transfer protocol (http/1.1): semantics and content.

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks Rfc 7231: Hypertext transfer protocol (http/1.1): semantics and content

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:05:30.409142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cffda04f-630f-436d-a46e-4a40450505f8 · outbound

This paper cites Rfc1171: Point-to-point protocol for the transmission of multi-protocol datagrams over point-to-point links.

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks Rfc1171: Point-to-point protocol for the transmission of multi-protocol datagrams over point-to-point links

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:05:30.412551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation edef1191-cf60-451a-9a44-a9c8275e460d · outbound

This paper cites MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks.

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:33:23.423335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e613473b-6a12-42bf-a04a-f8b53f64c16d · outbound

This paper cites Large language models for software engi- neering: A systematic literature review.

Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks Large language models for software engi- neering: A systematic literature review

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T11:05:30.405774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.