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Paper Citation Record · LEDGER

Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2503.15764.

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

pith.paper-citation-record.v1
2503.15764 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:42:57.171273Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T04:30:53.123053Z

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 fbbb55db-e51a-4f82-8a26-e58b6e71f8ce · inbound

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach cites this paper.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:57.171273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:57.171273Z digest=sha256:bb0ede6b3a842c464d166583b2f20c866fafb39f5a1a264c1f7f5656549b0c83

Observation 922717a6-6726-4b01-999e-291c6c9846ab · 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 Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach

Reference 177

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:00.384157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:00.384157Z digest=sha256:79a7f5ec19d0894d257a5f646d19e5acfdbefee78708fc80ae3aeb05dbbf5232

Observation 4de7f7e7-20e6-46b0-924d-468478da71ce · inbound

Agentic Graph Neural Networks for Wireless Communications and Networking Towards Edge General Intelligence: A Survey cites this paper.

Agentic Graph Neural Networks for Wireless Communications and Networking Towards Edge General Intelligence: A Survey Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach

Reference 242

Resolution
unresolved
no resolver link, observed 2026-08-15T17:37:09.481807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:37:09.481807Z digest=sha256:8a13828255aa45146bd48f1e84d6edaba6bc25baab3869da4cdd40bf922290ff

Observation 85d76805-ec20-4747-a02c-8a2dbd125a85 · inbound

Synchronization Dynamics of Heterogeneous, Collaborative Multi-Agent AI Systems cites this paper.

Synchronization Dynamics of Heterogeneous, Collaborative Multi-Agent AI Systems Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T17:28:25.539546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:28:25.539546Z digest=sha256:c9942b715d6bdcf5041ce0b46d1fe8c5a65b93d18b01abb15b23938e874f25f5

Observation 2852c583-3dee-4c74-8bf2-e0fb4df35f2a · inbound

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions cites this paper.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T16:20:59.133950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:20:59.133950Z digest=sha256:0241130d9b788c570f99279c81c729ed13d7190f9372895fb5398715d7044c9d

Observation d057d730-8730-45a1-8e22-8e5556516147 · inbound

A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks cites this paper.

A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:30:53.127668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T04:27:34.419909Z digest=sha256:ed132bfa6c6027f69162d7de62e3fa9ae793e680d1d2d65988889553315adc3d

Observation 53db24b0-3932-47fa-87d0-f3aee5161d36 · inbound

Reflection-Driven Self-Optimization 6G Agentic AI RAN via Simulation-in-the-Loop Workflows cites this paper.

Reflection-Driven Self-Optimization 6G Agentic AI RAN via Simulation-in-the-Loop Workflows Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:23:49.524670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-17T01:21:33.692839Z digest=sha256:5e254f87f934bac1355d80797f342a35f9d144c237f499dfc9159864566a9f86

Observation 508664c2-6f63-4359-a4ad-887b06f2eacd · inbound

Agentic AI-Based Joint Computing and Networking via Mixture of Experts and Large Language Models cites this paper.

Agentic AI-Based Joint Computing and Networking via Mixture of Experts and Large Language Models Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:35:51.771347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T18:59:56.166200Z digest=sha256:fcbd86a5e280966accb1fd77afcd01ee284f9f95f84e28ca45463f8da5f5ee35

Observation 87212b86-0122-4bcd-9d0f-8d55dad1ada5 · inbound

When Agentic AI Meets Integrated Sensing and Communication cites this paper.

When Agentic AI Meets Integrated Sensing and Communication Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T23:28:05.926715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:28:05.926715Z digest=sha256:3245f2a9885448fd70ba40ad603974a9b061ba86839b0c400bef0f8c2e1e3808