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Paper Citation Record · LEDGER

Intent-Based Network for RAN Management with Large Language Models

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2507.14230.

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

pith.paper-citation-record.v1
2507.14230 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:10:22.170468Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 f418bf23-5d88-4377-9e2c-5ccfa6c86689 · inbound

Agentic World Modeling for 6G: Near-Real-Time Generative State-Space Reasoning cites this paper.

Agentic World Modeling for 6G: Near-Real-Time Generative State-Space Reasoning Intent-Based Network for RAN Management with Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T00:10:22.170468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:10:22.170468Z digest=sha256:aed97ece885dc24b7185bf359716b91abafd27efda98780d9e8b60c2c5869d64

Observation 366bfd30-bb15-4d2f-b631-82e1470ebdce · inbound

Agentic-V2X: Small Language Model Agents for Deadline-Aware V2X Scheduling in 5G/6G Networks cites this paper.

Agentic-V2X: Small Language Model Agents for Deadline-Aware V2X Scheduling in 5G/6G Networks Intent-Based Network for RAN Management with Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-11T20:20:49.433107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:20:49.433107Z digest=sha256:6a7a0435057fa6e5c3fecc8fc0c40b69f3a5c6d142dff510990031f0b2aef112