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Paper Citation Record · LEDGER

WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.07964.

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

pith.paper-citation-record.v1
2409.07964 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T10:57:10.499376Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:33:47.363693Z

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 44dddf71-50e7-4296-8ee3-d8d090a6c7f7 · inbound

RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings cites this paper.

RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T10:57:10.499376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T10:57:10.499376Z digest=sha256:058b849c00bc4c0c0d0393430eee456e7dca60b030a558020689cda6f411ee94

Observation c1b23fef-9cc3-471a-827b-99ef132b6879 · inbound

Adaptive Resource Allocation Optimization Using Large Language Models in Dynamic Wireless Environments cites this paper.

Adaptive Resource Allocation Optimization Using Large Language Models in Dynamic Wireless Environments WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T12:41:42.709862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:41:42.709862Z digest=sha256:e837c714ed9f95a437966f007552f98af644bf703b3108e5c57eb98e61fe6f67

Observation e2a6c90d-2088-41b8-9711-4823ec425ebf · inbound

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models cites this paper.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T10:20:33.975246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:33.975246Z digest=sha256:52a059c806c03951fb2c27b82c906ab53b1e25995cef3181fa6c0cea19b87685

Observation 3d219a5a-a0b6-450f-b57b-01340a339a6d · inbound

On the Convergence of Large Language Model Optimizer for Black-Box Network Management cites this paper.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:33:47.447586Z

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=2026-08-06T20:33:43.622164Z digest=sha256:6f0b4ed9171095244691d356cfd5d92e49b2a3f9df7a6ac73a86df2704a9c4cd