Paper Citation Record · LEDGER

Telecom Language Models: Must They Be Large?

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.04666.

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

pith.paper-citation-record.v1
2403.04666 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:25:31.528994Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:51:02.068549Z

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 dacf4d77-9eae-4d5a-81da-b76ef3b012e7 · 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 Telecom Language Models: Must They Be Large?

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T17:25:31.528994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10c1e019-2a6f-43bc-bfb9-4ae9648c85c9 · 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 Telecom Language Models: Must They Be Large?

Reference 124

Resolution: unresolved; no resolver link, observed 2026-08-08T04:38:57.504249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d05e5232-e47a-464d-8f97-e248f753cbd2 · inbound

Towards a Foundation Model for Communication Systems cites this paper.

Towards a Foundation Model for Communication Systems Telecom Language Models: Must They Be Large?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:59.319933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11579c1c-83cb-4e7d-ad1c-8ececa19d7a7 · inbound

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications cites this paper.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Telecom Language Models: Must They Be Large?

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:51:02.070696Z

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.