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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:28:05.926715Z

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 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:fc1855aa2c9b74a7d8fa16adbdc6da94b67a2e2473bcb4cf44312377c6742dbf

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=sha256:95e73e8d792682bf9835c766cd628e725433ac4fba1022a14fdf787a98e7022a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T04:27:34.419909Z digest=sha256:ae6d37969fd6af0ab86707c38036139a9ba42edcf9ed1c0ac7e27dcf431c0df5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T01:21:33.692839Z digest=sha256:bca611b00bd6d84e0633e153e2ea054f46072637ed4ad3b3f9e821efe1181911

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:59:56.166200Z digest=sha256:eec42e97d5af827c572325a22b1c27dea4c4651dee8aa1d358991ca4e970bfb2

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:c1edf66b2519f4042d05570bc54ae09b4053ad4c0f43f30a0ca29f383017863b