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Paper Citation Record · LEDGER

Telecom Language Models: Must They Be Large?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:38:57.504249Z

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 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.

source=pdf_text observed=2026-08-08T04:38:57.504249Z digest=sha256:ad62f5da0347a00bbf4d8764dd6ff082847991419d2d48c38c89338a50a26f11

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.

source=arxiv_source observed=2026-08-07T15:36:59.319933Z digest=sha256:21374fbcb07f1addc11374bc8f7194709a218117da0d8080e4cd42ce9e5cab6a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:55:48.140496Z digest=sha256:69c8f158d25cdc190ea8941bce93c4ee7c70db469b57d1121830928b4ccc564e