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Paper Citation Record · LEDGER

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective

As of 9 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.06786.

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

pith.paper-citation-record.v1
2607.06786 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T21:20:35.727608Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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 exact3
  • verified fuzzy10
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 32ecd1d6-9658-431a-b529-69fdfa438448 · outbound

This paper cites Study on 6G Use Cases and Service Requirements; Stage 1 (Release 20),.

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective Study on 6G Use Cases and Service Requirements; Stage 1 (Release 20),

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T21:27:40.396478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T21:20:35.727608Z digest=sha256:42af2df19c080ca0c9df55560c58a903eaf541dea3f8a775283481b3250f8052

Observation 1c1abf5c-3c21-4aa4-9a39-f17f20e5f583 · outbound

This paper cites Experiential Networked Intelligence (ENI); Study on AI Agents based Next-generation Network Slicing,.

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective Experiential Networked Intelligence (ENI); Study on AI Agents based Next-generation Network Slicing,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T21:27:40.413217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T21:20:35.727608Z digest=sha256:b5b7e1e059b7c0f9ce0ca3403aaf7628b5977b4092349605cf6734db86ddeff0

Observation d799df0a-276d-410f-a97d-813fb5f60bf6 · outbound

This paper cites TM Forum Introductory Guide: Autonomous Networks Reference Architecture,.

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective TM Forum Introductory Guide: Autonomous Networks Reference Architecture,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T21:27:40.397339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T21:20:35.727608Z digest=sha256:d391cfccdffb73eaad39896cefc65893690f124b16ae7677ebf197424dd28480

Observation ecf4a696-6972-4e3b-bb67-6f67c644476d · outbound

This paper cites TM Forum Introductory Guide: AN Level 4 Target Architecture,.

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective TM Forum Introductory Guide: AN Level 4 Target Architecture,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T21:27:40.363671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T21:20:35.727608Z digest=sha256:e828c0bf42133b5144d553cbe0273b07ea32e71c8f4c3509ea4e0b86a5536048

Observation fe543964-ccb3-4ebb-b885-bf374ee3ef2a · outbound

This paper cites TM Forum Introductory Guide: AN Agent Architecture,.

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective TM Forum Introductory Guide: AN Agent Architecture,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T21:27:40.380627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T21:20:35.727608Z digest=sha256:87048f0c65d4669d06b91b671751e4eec61b095ab80069fac5fa1786fa777e5b

Observation 285a2558-190b-431d-ad28-76d1677db5e2 · outbound

This paper cites Hidden tech- nical debt in machine learning systems,.

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective Hidden tech- nical debt in machine learning systems,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T21:27:40.328719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T21:20:35.727608Z digest=sha256:58abcd2959f106ac475ebd807378558fb09d2e1ce716d15e22068f890cc9a295

Observation 8e8c0744-918c-4d7c-9070-f43a9788a759 · outbound

This paper cites A vision of self-evolving network management for future intelligent vertical hetnet,.

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective A vision of self-evolving network management for future intelligent vertical hetnet,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T21:27:40.292254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T21:20:35.727608Z digest=sha256:f29eb2ee7af41b0277d253ab1c36bd656a9958be817d3bc0e2dcf776cd9db389

Observation 885d0d9e-9426-47d1-9397-c857ed1f4a93 · outbound

This paper cites Claude 3.5 Sonnet Model Card Addendum,.

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective Claude 3.5 Sonnet Model Card Addendum,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T21:27:40.311302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T21:20:35.727608Z digest=sha256:96c2a796168f42c050ab3dc2b7059d317204a53a4d42c8b30e6585e985961b88

Observation ebd5ffd5-4331-464e-ae10-26d1d6270347 · outbound

This paper cites Amplifying human performance in combinatorial competitive programming.

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective Amplifying human performance in combinatorial competitive programming

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T21:27:35.707296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T21:20:35.727608Z digest=sha256:3df43cd775258ad1103ea27d0ffcc678ab787f02961690529e8753de70f416e1

Observation b04bff62-5368-4838-b035-5a3384a851cb · outbound

This paper cites CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing.

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-10T21:27:35.739605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T21:20:35.727608Z digest=sha256:2022c5fb8286e303d15da0ccbbf107ffff8b6fad7645aa9b8107ac856a25b402

Observation 30a840ca-4968-4df5-ab57-bf911a1358b0 · outbound

This paper cites Reflex- ion: Language agents with verbal reinforcement learning.

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective Reflex- ion: Language agents with verbal reinforcement learning

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T21:27:40.414379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T21:20:35.727608Z digest=sha256:8e7e7466fba60bf8a63ce3daa00850365785e8d07e11e571c172fc265635d302

Observation 4c2e611d-e9fb-4118-a71b-90d50f8d0fc5 · outbound

This paper cites DARTS: Differentiable Architecture Search.

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective DARTS: Differentiable Architecture Search

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-10T21:27:35.722471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T21:20:35.727608Z digest=sha256:71791729961e083ec8d82a92b744e001b9fff435e60d8f3995112e9e3c0f79fa

Observation edc9db97-d12d-43d7-a3f0-2f0aeb07ff36 · outbound

This paper cites Self-Evolving Multi-Agent Collaboration Networks for Software Development.

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective Self-Evolving Multi-Agent Collaboration Networks for Software Development

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T21:27:35.724862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T21:20:35.727608Z digest=sha256:3d1cc4e4c47d4056e44a528b56b37ea411e4fae86fa4d97bf9606fc2fc5b4dd0

Observation 86deac3b-a89f-46a5-8e1f-42344ad8573b · outbound

This paper cites Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents.

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-07-10T21:27:35.742285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T21:20:35.727608Z digest=sha256:17626c3c591c602ce97b46e6ab182e6e7e400d9f676361b4a6241fbb9abf0009

Observation 8915a5a9-1393-4897-930b-c6a19ef0f769 · outbound

This paper cites Self-taught optimizer (stop): Recursively self-improving code generation,.

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective Self-taught optimizer (stop): Recursively self-improving code generation,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T21:27:40.274639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T21:20:35.727608Z digest=sha256:cb1ea8c8ed1e3ed70ebd521d81138389e2f6f7a0a57f4a65a7acf7e8d3d5b2dc

Pith citing papers

No inbound Pith citation observations are available.