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Paper Citation Record · LEDGER

Empowering Wireless Networks with Artificial Intelligence Generated Graph

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.04907.

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

pith.paper-citation-record.v1
2405.04907 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:58:07.049616Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:35:47.171606Z

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 5bf7a589-0f04-4aeb-abc1-54f2aec52704 · inbound

Generative AI Enabled Robust Sensor Placement in Cyber-Physical Power Systems: A Graph Diffusion Approach cites this paper.

Generative AI Enabled Robust Sensor Placement in Cyber-Physical Power Systems: A Graph Diffusion Approach Empowering Wireless Networks with Artificial Intelligence Generated Graph

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T20:58:07.049616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:58:07.049616Z digest=sha256:5c45144be0cd3b6ecbd0b6dc55e65e85a7d0ce34fae5c161f66db30c24d59698

Observation 1317bd2e-5a5e-4d6f-b4e3-8630830677c9 · inbound

Scalable Interference Graph Learning for Low-Latency Wi-Fi Networks using Hashing-based Evolution Strategy cites this paper.

Scalable Interference Graph Learning for Low-Latency Wi-Fi Networks using Hashing-based Evolution Strategy Empowering Wireless Networks with Artificial Intelligence Generated Graph

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-09T05:19:22.561172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:19:22.561172Z digest=sha256:0a656b598acba6b06ce8b63bfef681d94f9660f3372bfb05dea642d70996e764

Observation 65d492ce-61f0-4eb5-b824-740d57da65dc · inbound

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences cites this paper.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Empowering Wireless Networks with Artificial Intelligence Generated Graph

Reference 147

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:35:47.223349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T05:35:39.569628Z digest=sha256:320a2417fcd55b9fca4f82b6bc01b65f3157f41b1bcf10447638babd5193366f