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Paper Citation Record · LEDGER

TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.15051.

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

pith.paper-citation-record.v1
2310.15051 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:57:25.447126Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T21:07:47.007295Z

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 76eea7c0-63b5-4c4a-ba48-9d8aa36ccb03 · inbound

Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework cites this paper.

Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:25.447126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:25.447126Z digest=sha256:1e236ee0ad4b50a105f04302fc3a9c49ffc10953af2f84e30d4e1451b98f2ebc

Observation 7e91db12-91b3-4ec3-8288-c8a9d07fc42f · inbound

Chat3GPP: An Open-Source Retrieval-Augmented Generation Framework for 3GPP Documents cites this paper.

Chat3GPP: An Open-Source Retrieval-Augmented Generation Framework for 3GPP Documents TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T18:21:39.051317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:21:39.051317Z digest=sha256:a83418fa8d305dd27a51179eb9965ad9eee2aaedd76feb2c47ade78279184ee8

Observation 7fd98052-b612-4b22-b5c8-4518f1423e08 · 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 TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge

Reference 164

Resolution
unresolved
no resolver link, observed 2026-08-08T04:38:57.685688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:38:57.685688Z digest=sha256:97fbd5428612ad4b002680e1dd535d349a0790fefca3c9142dcb15ec842598da

Observation b19b359c-b93e-4e8f-adf1-598e8937711d · inbound

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research cites this paper.

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:19:26.341526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:19:26.341526Z digest=sha256:9525a9e2312ae3a48a3bf0e2478d94107cd0ee191476438e749cb1e8f9629485

Observation bcf4d2af-5ec5-44a0-8e26-7743d8ec65f3 · inbound

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN cites this paper.

Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T12:30:39.957816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:30:39.957816Z digest=sha256:32876e20a902ce77046091fa8163da758c91a48e315a81a2274dce268030649f

Observation dbc22e86-7bee-42a3-8ca8-5e7cb2ec04e7 · 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 TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:10:22.985161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T22:06:30.391838Z digest=sha256:5369601e13069fc4581e346f86a25e5ba455323096d8cca1d0ea01609d4cc7d8

Observation a676243c-8cec-4182-ab43-bd9edf41b2bd · 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 TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:07:47.009268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-19T21:07:40.256977Z digest=sha256:f35c7479a8fcd6d8827ff378c26e9dd5c6e50ff188ec4d7755ad6f954722e726