Paper Citation Record · LEDGER

Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems

As of 14 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 4 inbound Pith citation observations for arXiv:2506.24009.

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

pith.paper-citation-record.v1
2506.24009 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:31:42.217942Z

measured 18 of 18 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T19:42:35.149663Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:26:24.496683Z

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy13
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 43457512-71d6-43be-8b35-19e0a48127c4 · outbound

This paper cites Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportu- nities,.

Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportu- nities,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:31:42.508354Z

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.

Observation 0f1a7dba-6dc2-4594-bf3d-a4acf11d4026 · outbound

This paper cites Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing,.

Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:31:42.496127Z

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.

Observation 89b7bfa9-7906-491a-a5a3-88f969bf6508 · outbound

This paper cites Generative AI Agents With Large Language Model for Satellite Networks via a Mixture of Experts Transmission,.

Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems Generative AI Agents With Large Language Model for Satellite Networks via a Mixture of Experts Transmission,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:31:42.484189Z

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.

Observation 21e6363b-00e1-487d-b6d4-f50cede1e18b · outbound

This paper cites A Survey of Embodied AI: From Simulators to Research Tasks,.

Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems A Survey of Embodied AI: From Simulators to Research Tasks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:31:42.472559Z

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.

Observation 2f4f5f4b-edd7-4f46-bd3d-7ade615563e6 · outbound

This paper cites Robust Deep Learning-Based Physical Layer Commu- nications: Strategies and Approaches,.

Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems Robust Deep Learning-Based Physical Layer Commu- nications: Strategies and Approaches,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:31:42.184468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23dca979-ce18-4a1e-a643-5ac1fa192012 · outbound

This paper cites Causal Reasoning: Charting a Revolutionary Course for Next-Generation AI-Native Wireless Networks,.

Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems Causal Reasoning: Charting a Revolutionary Course for Next-Generation AI-Native Wireless Networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:31:42.448441Z

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.

Observation 77790399-543d-4716-be72-59436c928d0a · outbound

This paper cites Emergent Abilities of Large Language Models,.

Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems Emergent Abilities of Large Language Models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:31:42.435182Z

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.

Observation 8e9b442e-4817-4853-a2aa-3edf131a3e1c · outbound

This paper cites Large Multi-Modal Models (LMMs) as Universal Foun- dation Models for AI-Native Wireless Systems,.

Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems Large Multi-Modal Models (LMMs) as Universal Foun- dation Models for AI-Native Wireless Systems,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:31:42.421743Z

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.

Observation 61adea6b-de37-49e4-a12f-bc1740e71802 · outbound

This paper cites Deep learning, reinforcement learning, and world models,.

Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems Deep learning, reinforcement learning, and world models,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:31:42.408034Z

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.

Observation 56d92e35-1be3-4588-9531-cd2d4dc546c4 · outbound

This paper cites Mastering diverse control tasks through world models,.

Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems Mastering diverse control tasks through world models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:31:42.395374Z

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.

Observation 5f188a28-3de3-4c8f-aa13-683d00b727ef · outbound

This paper cites Less Data, More Knowledge: Building Next- Generation Semantic Communication Networks,.

Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems Less Data, More Knowledge: Building Next- Generation Semantic Communication Networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:31:42.383400Z

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.

Observation 9f501324-8554-44f6-a0fc-9fcef542bbe9 · outbound

This paper cites Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities,.

Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:31:42.371153Z

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.

Observation 66d8ea2d-0a5a-430a-b78e-b3617c60fd02 · outbound

This paper cites Wireless Network Digital Twin for 6G: Generative AI as a Key Enabler,.

Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems Wireless Network Digital Twin for 6G: Generative AI as a Key Enabler,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:31:42.357632Z

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.

Observation e5546aaa-4e69-4b21-89e7-3391d6ea08f8 · outbound

This paper cites Embodied Artificial Intelligence-Enabled Internet of Vehicles: Challenges and Solutions,.

Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems Embodied Artificial Intelligence-Enabled Internet of Vehicles: Challenges and Solutions,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:31:42.460710Z

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.

Pith citing papers

Observation ad6cb7a1-ad07-46a5-80e8-08829d0ac3ec · 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 Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:06:05.416214Z

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.

Observation 05fd09d5-8d13-432a-91c7-523d398fa4b4 · inbound

World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems cites this paper.

World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:43:43.710826Z

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.

Observation b152f904-7f60-4687-8c74-9dfcaf4a4001 · inbound

RadioMaster: Multi-Agent System for Autonomous Radio Signal Generation cites this paper.

RadioMaster: Multi-Agent System for Autonomous Radio Signal Generation Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:26:24.498483Z

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.

Observation 63dae1bd-5f13-4e32-9b4f-452a1f4340a4 · inbound

Empowering Embodied AI in 6G Networks: Architecture, Enablers, and Open Challenges cites this paper.

Empowering Embodied AI in 6G Networks: Architecture, Enablers, and Open Challenges Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:45:00.747516Z

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.