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Paper Citation Record · LEDGER

Large Language Models for Networking: Applications, Enabling Techniques, and Challenges

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.17474.

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

pith.paper-citation-record.v1
2311.17474 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:38:57.075101Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T06:11:01.053760Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 575c2064-b8cd-4c79-8dae-d6216bd111e9 · inbound

Mapping the Landscape of Generative AI in Network Monitoring and Management cites this paper.

Mapping the Landscape of Generative AI in Network Monitoring and Management Large Language Models for Networking: Applications, Enabling Techniques, and Challenges

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-08T04:38:57.075101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:38:57.075101Z digest=sha256:002b052aff0e2c602120f54066090a5d0001505549b298465c7414774948848e

Observation c81d1075-6292-4cef-9767-bdb191f34724 · inbound

Telecom World Models: Unifying Digital Twins, Foundation Models, and Predictive Planning for 6G cites this paper.

Telecom World Models: Unifying Digital Twins, Foundation Models, and Predictive Planning for 6G Large Language Models for Networking: Applications, Enabling Techniques, and Challenges

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:30:54.677103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T18:28:45.511385Z digest=sha256:cd430f28d363830b29b20bc82ec0ecf0fc828efa68e1f6b6d95cb77cb20b84de

Observation 6d780b1a-e244-4744-b297-77a02ad4903d · inbound

Validated Intent Compilation for Constrained Routing in LEO Mega-Constellations cites this paper.

Validated Intent Compilation for Constrained Routing in LEO Mega-Constellations Large Language Models for Networking: Applications, Enabling Techniques, and Challenges

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:11:01.057806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T17:46:09.959155Z digest=sha256:7699fadde15d928c24026401e0e29d93f245dbd9cd2c57b318c23787033be204