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Paper Citation Record · LEDGER

Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2503.04184.

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

pith.paper-citation-record.v1
2503.04184 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 2026-08-05T06:32:48.257954+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:32:00.176272Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T04:19:33.479551Z

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 a190d4ac-d119-460e-bbc5-c26495750251 · inbound

DeepTelecom: A Digital-Twin Deep Learning Dataset for Channel and MIMO Applications cites this paper.

DeepTelecom: A Digital-Twin Deep Learning Dataset for Channel and MIMO Applications Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T18:32:00.176272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:32:00.176272Z digest=sha256:43e4f9cd58e1f1f08a0a132e71d6a137146a9439f9d1ac6c0efb6097d405a879

Observation 350f4dc4-b52d-41ee-afa0-7cbb5ab04091 · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Reference 242

Resolution
unresolved
no resolver link, observed 2026-08-05T04:50:32.438796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:50:32.438796Z digest=sha256:c51733626e71e1a1d12ba90fd45f67b78c99ce6e00f4e0b352adfbf6994ded7e

Observation bba5ac78-3194-4d88-abeb-c2eed432f721 · inbound

Sovereign AI for 6G: Towards the Future of AI-Native Networks cites this paper.

Sovereign AI for 6G: Towards the Future of AI-Native Networks Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T23:15:29.721682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:15:29.721682Z digest=sha256:403fca9ce31a2a85e4babca88298f47bab5acc46bbcea58c4af04a28a6a2e4c1

Observation 3eeda781-5a29-4e09-b2fb-2f8095b6f4df · inbound

Telecom World Models: Unifying Digital Twins, Foundation Models, and Predictive Planning for 6G cites this paper.

Telecom World Models: Unifying Digital Twins, Foundation Models, and Predictive Planning for 6G Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:30:54.619905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T18:28:45.511385Z digest=sha256:ecc95a2a13e80ec3a22b825701cc968cbcb686a86c03ae2b7c0dd429ecef9d34

Observation 1d0faca8-5749-4cdc-9e03-86192a813399 · inbound

Robust Hybrid Beamforming with Liquid Crystal Antennas and Liquid Neural Networks cites this paper.

Robust Hybrid Beamforming with Liquid Crystal Antennas and Liquid Neural Networks Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:06:05.277344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:18:22.256481Z digest=sha256:73a21757fd8179531671937dfea56e406e962a258fddbc45fd85bd016a168cfa

Observation f4348a90-f8e1-474e-aced-bda2de428c8e · inbound

TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications? cites this paper.

TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications? Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:28:14.650528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T11:23:34.256279Z digest=sha256:3ab3a92585f1c6f7eaf8ab9779a102dff214dd469fe610917ebe798d8f07796a

Observation 0da61c05-efa5-4ac9-ab97-e8267f51a7e8 · inbound

Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6G cites this paper.

Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6G Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:19:33.481982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T04:15:41.518743Z digest=sha256:4f81578b0b0264c1a86f046e12552ced86ad7ea1096b53101b574f7abf41c08f