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Paper Citation Record · LEDGER

Generative AI based Secure Wireless Sensing for ISAC Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.11398.

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

pith.paper-citation-record.v1
2408.11398 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:55:41.724319Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:02:05.422953Z

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 66831869-6fcf-4392-8b6d-3b31b01dc01f · inbound

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion cites this paper.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Generative AI based Secure Wireless Sensing for ISAC Networks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T12:55:41.724319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:41.724319Z digest=sha256:3e2e6d4733bdb3dd0c7c062a37f47082c7095fe69eeed7bb5edb442b24c93ed5

Observation 4567953e-1c6e-41d2-b281-a7ecddac20e5 · inbound

Efficient Blockchain-based Steganography via Backcalculating Generative Adversarial Network cites this paper.

Efficient Blockchain-based Steganography via Backcalculating Generative Adversarial Network Generative AI based Secure Wireless Sensing for ISAC Networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T23:52:47.160784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:52:47.160784Z digest=sha256:a98cc3377258fd805899b4dce3fea198b89ab24a05b923fb8a441a4f88b255a2

Observation ae614710-b053-4a2d-96cb-907669f5041d · inbound

Lightweight Federated Learning over Wireless Edge Networks cites this paper.

Lightweight Federated Learning over Wireless Edge Networks Generative AI based Secure Wireless Sensing for ISAC Networks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T18:01:16.177788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:01:16.177788Z digest=sha256:98b74e53214d45e17885ecc2d8c90e28dc92d555232f67600ce477e5e601df9b

Observation 5e59cdd6-e63f-4a5e-b7e9-d0371e63058e · inbound

Topology Generation of UAV Covert Communication Networks: A Graph Diffusion Approach with Incentive Mechanism cites this paper.

Topology Generation of UAV Covert Communication Networks: A Graph Diffusion Approach with Incentive Mechanism Generative AI based Secure Wireless Sensing for ISAC Networks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T22:42:11.772333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:42:11.772333Z digest=sha256:83b1f07bc09f03b61dbc011e30b9992f0d0d604375ed619373edf9badf9c5e17

Observation 8430f2ce-f461-4a33-897a-3cfcde841183 · inbound

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges cites this paper.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Generative AI based Secure Wireless Sensing for ISAC Networks

Reference 91

Resolution
verified exact
local_arxiv, observed 2026-08-05T21:02:05.429666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T21:02:04.401536Z digest=sha256:6b49b6bfa23093df835a9844d1913ea88219d138dd0fd56692fd7cce6db1dab9