Paper Citation Record · LEDGER

Generative AI Enabled Robust Data Augmentation for Wireless Sensing in ISAC Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.12622.

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

pith.paper-citation-record.v1
2502.12622 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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:52:25.697259Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:02:05.446499Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 ca177290-2eb4-4f50-90e2-2f12f6b11ac8 · inbound

Conditional Denoising Diffusion for ISAC Enhanced Channel Estimation in Cell-Free 6G cites this paper.

Conditional Denoising Diffusion for ISAC Enhanced Channel Estimation in Cell-Free 6G Generative AI Enabled Robust Data Augmentation for Wireless Sensing in ISAC Networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:25.697259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50838da0-af10-41f6-bd1a-4e9c44100ed4 · inbound

Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G cites this paper.

Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G Generative AI Enabled Robust Data Augmentation for Wireless Sensing in ISAC Networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:24.170671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a632429-eb47-4d04-ac9f-9008545e34bf · inbound

Energy-Efficient Federated Learning for Edge Real-Time Vision via Joint Data, Computation, and Communication Design cites this paper.

Energy-Efficient Federated Learning for Edge Real-Time Vision via Joint Data, Computation, and Communication Design Generative AI Enabled Robust Data Augmentation for Wireless Sensing in ISAC Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T05:32:32.621505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20eeb233-35a8-4ea3-9aa2-b00b49633242 · 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 Enabled Robust Data Augmentation for Wireless Sensing in ISAC Networks

Reference 90

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:02:05.451429Z

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.