Paper Citation Record · LEDGER

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2505.03556.

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

pith.paper-citation-record.v1
2505.03556 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 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:13:46.405416Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T11:28:14.669989Z

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 803fefbd-00fa-4a79-9cce-debcb9b9ae8d · inbound

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications cites this paper.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:46.405416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cdbcd9b-8d35-4fcf-a0bf-a5a6665b0182 · inbound

Graph Representation-based Model Poisoning on Federated Large Language Models cites this paper.

Graph Representation-based Model Poisoning on Federated Large Language Models A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T20:51:11.399841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 291e62f1-0307-40d3-9588-ab07fd766a1f · inbound

Towards channel foundation models (CFMs): Motivations, methodologies and opportunities cites this paper.

Towards channel foundation models (CFMs): Motivations, methodologies and opportunities A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:45.460974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71c218e5-dd37-4eb6-a07b-ac7ad99992c5 · inbound

ADEPTS: A Capability Framework for Human-Centered Agent Design cites this paper.

ADEPTS: A Capability Framework for Human-Centered Agent Design A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T16:11:47.830073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 827365ab-5bc0-406b-87a9-fc1af5d30741 · inbound

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges cites this paper.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges

Reference 164

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.784087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 281e3dfc-508c-4a28-a46a-39a57d0667d6 · 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 A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T04:50:31.511788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64a89c88-9300-4a47-942f-4de60da8c2c1 · inbound

Modular PE-Structured Learning for Cross-Task Wireless Communications cites this paper.

Modular PE-Structured Learning for Cross-Task Wireless Communications A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T20:27:46.527614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 701d5d19-6cd8-49f0-a7d1-31abbaa1d50f · inbound

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives cites this paper.

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-04T19:34:31.202544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa88ecad-d463-4ec3-aee3-0bc4526ef300 · inbound

Tempus: A Temporally Scalable Resource-Invariant GEMM Streaming Framework for Versal AI Edge cites this paper.

Tempus: A Temporally Scalable Resource-Invariant GEMM Streaming Framework for Versal AI Edge A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:51:41.385038Z

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 bc91a0b7-6de7-4e94-9325-524e2c77c6e6 · 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? A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:28:14.671748Z

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.