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Paper Citation Record · LEDGER

Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2409.05314.

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

pith.paper-citation-record.v1
2409.05314 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:43:20.781630Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:26:25.007071Z

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 301eb050-303a-4e4f-baed-f33767ebca73 · inbound

TN-AutoRCA: Benchmark Construction and Agentic Framework for Self-Improving Alarm-Based Root Cause Analysis in Telecommunication Networks cites this paper.

TN-AutoRCA: Benchmark Construction and Agentic Framework for Self-Improving Alarm-Based Root Cause Analysis in Telecommunication Networks Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T14:43:20.781630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:43:20.781630Z digest=sha256:4c9c48a4d67bf8aff25b5c4c62591445d131cc8c7c7db3b5af2c366d7fdbf562

Observation d53fdf80-f519-44ac-87d8-6f861352cd93 · inbound

MM-Telco: Benchmarks and Multimodal Large Language Models for Telecom Applications cites this paper.

MM-Telco: Benchmarks and Multimodal Large Language Models for Telecom Applications Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:10:22.994830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T22:06:30.391838Z digest=sha256:e85c0417daa3006c10187de2fed60973e71e812c74ede476baf473fcb649b079

Observation aebf066d-71a0-4f1f-b559-eb3e7a691600 · inbound

Hidden Secrets in the arXiv: Discovering, Analyzing, and Preventing Unintentional Information Disclosure in Source Files of Scientific Preprints cites this paper.

Hidden Secrets in the arXiv: Discovering, Analyzing, and Preventing Unintentional Information Disclosure in Source Files of Scientific Preprints Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications

Reference 111

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T00:54:49.137297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T00:41:13.517341Z digest=sha256:854f744347293410feb78a7c59826474c96390930a2a391833920c47dfc75221

Observation f80947ed-e95d-419c-9e59-7a04b3f65172 · inbound

Threat Modelling using Domain-Adapted Language Models: Empirical Evaluation and Insights cites this paper.

Threat Modelling using Domain-Adapted Language Models: Empirical Evaluation and Insights Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:56:25.803495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T03:50:46.260450Z digest=sha256:df7d30961b84973b911c6f063aa51ca5c13575f83d34d28cf2c4d83c281a7065

Observation 99384862-234d-4bb7-b82a-4fd4749cea0e · inbound

Against the Monolithic Wireless World Model: Why NextG Needs Composable and Agentic Intelligence cites this paper.

Against the Monolithic Wireless World Model: Why NextG Needs Composable and Agentic Intelligence Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:07:46.980325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-19T21:07:40.256977Z digest=sha256:a12ab3748d29137b5a08eb23d6b13f34254d994d02f87c794d0c559acb11a5c6

Observation 81b38c95-20f2-4b44-9054-cd984b67934e · inbound

RadioMaster: Multi-Agent System for Autonomous Radio Signal Generation cites this paper.

RadioMaster: Multi-Agent System for Autonomous Radio Signal Generation Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T01:26:24.519658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T12:03:13.487936Z digest=sha256:5ba14ff593e38a0b7ef349dece8ee65c3af85faa7abe19b6339c8c95ffc6152c

Observation ec52de28-0678-4168-bff5-4df63d14741a · inbound

QoEReasoner: An Agentic Reasoning Framework for Automated and Explainable QoE Diagnosis in RANs cites this paper.

QoEReasoner: An Agentic Reasoning Framework for Automated and Explainable QoE Diagnosis in RANs Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:26:25.009004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T11:56:56.414261Z digest=sha256:5f6dc1de1313bbbfdcd097fc309eb11915e71614d1c2a3dd5198541fd96edbd2

Observation 40eb9c76-bcb3-4b66-bf8a-0f991a7bc6d3 · inbound

ARMOR: Adaptive Retriever Optimization for Low-Resource Telecom Question Answering cites this paper.

ARMOR: Adaptive Retriever Optimization for Low-Resource Telecom Question Answering Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T04:54:16.262386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T04:53:59.203935Z digest=sha256:f283734fe0f98e7badfc8dc199a1d069415cb99afb89aa4eff83defac32864ca

Observation ec9b8ace-7784-4b0a-a235-23cc9803adf7 · inbound

Human Grounded Evaluation of Large Language Models for Optical Network Automation cites this paper.

Human Grounded Evaluation of Large Language Models for Optical Network Automation Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-01T16:15:57.328433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:15:57.328433Z digest=sha256:9780062f37e1119f975e22217ac1adf259870c1891f5b5b12ee8e68b2abdb1c2