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Paper Citation Record · LEDGER

TelecomRAG: Taming Telecom Standards with Retrieval Augmented Generation and LLMs

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.07053.

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

pith.paper-citation-record.v1
2406.07053 v1

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:25:31.523265Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T16:23:57.321895Z

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 880d92b7-b813-48d2-b204-156f73af02d8 · inbound

Towards Wireless Native Big AI Model: The Mission and Approach Differ From Large Language Model cites this paper.

Towards Wireless Native Big AI Model: The Mission and Approach Differ From Large Language Model TelecomRAG: Taming Telecom Standards with Retrieval Augmented Generation and LLMs

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:31.523265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:25:31.523265Z digest=sha256:87a7b2dcbe100f2d40171f848c2e7272287b80bb15c3727d7bf72e32c074a231

Observation 194d3b9f-7c66-436a-a944-5b46e66ada9b · inbound

NetOrchLLM: Mastering Wireless Network Orchestration with Large Language Models cites this paper.

NetOrchLLM: Mastering Wireless Network Orchestration with Large Language Models TelecomRAG: Taming Telecom Standards with Retrieval Augmented Generation and LLMs

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-11T16:23:57.328371Z

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=2026-08-11T16:23:57.244987Z digest=sha256:a4df11760706b63dcb621594ccfeeae9b6698491425ec44bc5eb47142aa30336