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Paper Citation Record · LEDGER

Poster: Could Large Language Models Perform Network Management?

As of 13 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2411.16232.

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

pith.paper-citation-record.v1
2411.16232 v1

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:26:56.150884Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

8 of 8 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d174498d-e6e7-459b-b43d-955967ee9f8e · outbound

This paper cites Artificial Intelligence For Networking.

Poster: Could Large Language Models Perform Network Management? Artificial Intelligence For Networking

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:26:56.297866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:26:56.110409Z digest=sha256:766dd3051ae57f26b05e03a76b13a53bff7b47a9d6695480da259ca717b3d9d7

Observation 98e4c26f-a4e2-4b43-8cdd-f519a46c71af · outbound

This paper cites Exploring the potential of AI-driven optimization in enhancing network performance and efficiency.

Poster: Could Large Language Models Perform Network Management? Exploring the potential of AI-driven optimization in enhancing network performance and efficiency

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:26:56.279453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:26:56.117911Z digest=sha256:9cf8842cd6d3bbf06b7ae1df3def7d3b56ff035c30033ed9361c3b8a7d6f9058

Observation 5b94f42c-6009-4108-bd58-3321818f9c7f · outbound

This paper cites Large Foundation Models for Power Systems.

Poster: Could Large Language Models Perform Network Management? Large Foundation Models for Power Systems

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:26:56.259806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:26:56.122626Z digest=sha256:72f05ee4481a7049da744322138c596534f45206a7af60146b52a9ab804daece

Observation 45e95529-edc1-42ab-8dbd-c66b163952b3 · outbound

This paper cites A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist.

Poster: Could Large Language Models Perform Network Management? A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:26:56.244064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:26:56.126769Z digest=sha256:8f79aafdfdf7ce6878082b5e7ae8559478e176128e85c60a6df1103c1a5ac226

Observation a9e24081-5410-4770-a662-18abf1e0b03e · outbound

This paper cites an unresolved cited work.

Poster: Could Large Language Models Perform Network Management? Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-12T13:26:56.229052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:26:56.135922Z digest=sha256:9c574ec1a552523cc0cafb88bc775f0a692c3912b4a0be4689021aafaa59176a

Observation c198a65d-9375-4bb1-82f6-f90eeb46581b · outbound

This paper cites TelecomGPT: A Framework to Build Telecom-Specfic Large Language Models.

Poster: Could Large Language Models Perform Network Management? TelecomGPT: A Framework to Build Telecom-Specfic Large Language Models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:26:56.215338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:26:56.140508Z digest=sha256:bcf809363cf77b8647cd7545099a883105534b9ae602c16304a05e0b24e6cfd3

Observation 524defd6-b19b-4951-a594-07197401c441 · outbound

This paper cites LLM-enabled Intent-driven Service Configuration for Next Generation Networks.

Poster: Could Large Language Models Perform Network Management? LLM-enabled Intent-driven Service Configuration for Next Generation Networks

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:26:56.201373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:26:56.145532Z digest=sha256:971eb8284ab8c0fc0aeceef93f9e91619f313f32823bacd0dbea5c6ad208c277

Observation 6957d43a-fb2a-487d-be57-af964c53888a · outbound

This paper cites NetConfEval: Can LLMs Facilitate Network Configuration? In Proc.

Poster: Could Large Language Models Perform Network Management? NetConfEval: Can LLMs Facilitate Network Configuration? In Proc

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:26:56.187846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:26:56.150884Z digest=sha256:e59b26a78af46a61467357f24fe3bb07ba35ae311fc75110519df967d90500a8

Pith citing papers

No inbound Pith citation observations are available.