Paper Citation Record · LEDGER

Concept-Level AI for Telecom: Moving Beyond Large Language Models

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2506.22359.

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

pith.paper-citation-record.v1
2506.22359 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:08:34.379539Z

measured 15 of 15 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact3
verified fuzzy8
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 822ba5bd-0336-46f6-be48-e9754d764b45 · outbound

This paper cites Lm-infinite: Zero-shot extreme length gen- eralization for large language models,.

Concept-Level AI for Telecom: Moving Beyond Large Language Models Lm-infinite: Zero-shot extreme length gen- eralization for large language models,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:08:36.547459Z

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.

Observation f9e906c5-9e18-4f44-91dd-90d8e15033e8 · outbound

This paper cites Tokenization Matters! Degrading Large Language Models through Challenging Their Tokenization.

Concept-Level AI for Telecom: Moving Beyond Large Language Models Tokenization Matters! Degrading Large Language Models through Challenging Their Tokenization

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T22:08:32.962081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 440de631-6d53-4dc1-b0df-dc3526861cbb · outbound

This paper cites Bench: Extending long context evaluation beyond 100k tokens,.

Concept-Level AI for Telecom: Moving Beyond Large Language Models Bench: Extending long context evaluation beyond 100k tokens,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:08:36.307488Z

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.

Observation 6daffe3f-9dce-4722-b570-bf600b5e8fe8 · outbound

This paper cites Enhance the Robustness of Text-Centric Multimodal Alignments.

Concept-Level AI for Telecom: Moving Beyond Large Language Models Enhance the Robustness of Text-Centric Multimodal Alignments

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:08:35.050324Z

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.

Observation d4a84641-7f80-4bb6-89f6-f69b5121d4ff · outbound

This paper cites Attention Is All You Need.

Concept-Level AI for Telecom: Moving Beyond Large Language Models Attention Is All You Need

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T22:08:33.320478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96dcbd38-9192-433b-a53e-61495abe6aa6 · outbound

This paper cites Neural machine translation of rare words with subword units,.

Concept-Level AI for Telecom: Moving Beyond Large Language Models Neural machine translation of rare words with subword units,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:08:36.098040Z

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.

Observation 9e03738a-96b6-4f60-a333-1db369308785 · outbound

This paper cites Large Concept Models: Language Modeling in a Sentence Representation Space.

Concept-Level AI for Telecom: Moving Beyond Large Language Models Large Concept Models: Language Modeling in a Sentence Representation Space

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T22:08:33.511564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75cee80f-40e9-4725-b8f0-4054d232fdc9 · outbound

This paper cites Poincare embeddings for learning hierarchical representations,.

Concept-Level AI for Telecom: Moving Beyond Large Language Models Poincare embeddings for learning hierarchical representations,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:08:35.898344Z

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.

Observation 31e2bce4-8816-4ac7-8927-d88276f084ae · outbound

This paper cites TSpec-LLM: An Open-source Dataset for LLM Understanding of 3GPP Specifications.

Concept-Level AI for Telecom: Moving Beyond Large Language Models TSpec-LLM: An Open-source Dataset for LLM Understanding of 3GPP Specifications

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T22:08:33.750658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0906d879-3cf6-4d4d-84b0-b08937a8e315 · outbound

This paper cites A Primer on Generative AI for Telecom: From Theory to Practice.

Concept-Level AI for Telecom: Moving Beyond Large Language Models A Primer on Generative AI for Telecom: From Theory to Practice

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:08:34.833273Z

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.

Observation 1519eab7-7bfa-4c0a-b235-4e1b11e033a8 · outbound

This paper cites Telco-rag: Navigating the challenges of retrieval augmented language models for telecommunica- tions,.

Concept-Level AI for Telecom: Moving Beyond Large Language Models Telco-rag: Navigating the challenges of retrieval augmented language models for telecommunica- tions,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:08:35.724287Z

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.

Observation 305d8c7c-9848-4d99-a0c2-5fe30e4f8a95 · outbound

This paper cites Teleqna: A benchmark dataset to assess large language models telecommunications knowl- edge,.

Concept-Level AI for Telecom: Moving Beyond Large Language Models Teleqna: A benchmark dataset to assess large language models telecommunications knowl- edge,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:08:35.589641Z

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.

Observation 8c179a0c-4b42-4741-a5d5-3f5ba87b1919 · outbound

This paper cites Large generative ai models for telecom: The next big thing?.

Concept-Level AI for Telecom: Moving Beyond Large Language Models Large generative ai models for telecom: The next big thing?

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:08:35.433611Z

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.

Observation 3a8d37f1-2b02-47d3-856b-7e161be2350d · outbound

This paper cites Large Language Models meet Network Slicing Management and Orchestration.

Concept-Level AI for Telecom: Moving Beyond Large Language Models Large Language Models meet Network Slicing Management and Orchestration

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:08:34.615804Z

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.

Observation 72466272-2526-46fd-b4e4-1e1aa0f16259 · outbound

This paper cites Gsma open-telco llm benchmarks launches to advance ai in telecoms,.

Concept-Level AI for Telecom: Moving Beyond Large Language Models Gsma open-telco llm benchmarks launches to advance ai in telecoms,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:08:35.318387Z

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.

Pith citing papers

No inbound Pith citation observations are available.