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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 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:59:15.787468Z

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 44eb4bde-20e1-46dd-888c-15aed3a9df7d · inbound

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations cites this paper.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:15.787468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:15.787468Z digest=sha256:b1dd3eafe9813941a7b7e86a66fbd4cd48f5b8ec02a4386306fd1497605a1a53

Observation 27453e94-c8b3-492c-83d6-f1296f1dc34e · inbound

Large-Scale Model Enabled Semantic Communication Based on Robust Knowledge Distillation cites this paper.

Large-Scale Model Enabled Semantic Communication Based on Robust Knowledge Distillation Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T05:13:30.470435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:13:30.470435Z digest=sha256:49e9f79c4dbf3d757655baffb873fa59191a0b5c13b4f96324ab4010eb421b26

Observation 061b180e-7464-4e81-8b1a-c4a65163affe · inbound

Agentic AI in 6G Software Businesses: A Layered Maturity Model cites this paper.

Agentic AI in 6G Software Businesses: A Layered Maturity Model Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T04:35:18.152014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:35:18.152014Z digest=sha256:a82dd06355a29020839758e60e3eaf84f88e9e728417dd908312145b2e7a7dc4

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=sha256:8ea5c5264876df00af9c9b3fa6b6d6797dd517b2303d3d4b5d5f929b5f421bc0

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:a01b4772fd2cdc9023c027016a520b8b41da61c63b4f773254696bbf3039d0e5

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=sha256:5299fa62c0a401f7a49ce8d760eef591a5dd53ea79d6e2fafb1e1726b1a5a5f3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:28:45.511385Z digest=sha256:8c9a22aa5ca5135e36d350ca31bb227a3d9d02d396a3f7c2f73634fee5fb2a9a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T17:18:22.256481Z digest=sha256:f29ceefa9209d428d3cfb927f7914d69cd138d018c2895221837466a1a170317

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T11:23:34.256279Z digest=sha256:bef759665e49154f7808661780100b3f30578b65d6eb562a9f138b7ba9494c69

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T04:15:41.518743Z digest=sha256:0d4b1b03d37dc7b7747fa59e777b35a078f09ec3576b59306daf1caf26b1ea18