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Paper Citation Record · LEDGER

Generative AI-enabled Blockage Prediction for Robust Dual-Band mmWave Communication

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.11763.

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

pith.paper-citation-record.v1
2501.11763 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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:52:25.681702Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T18:11:05.275845Z

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 314f7ae4-329b-4cfb-916b-0a217ca5eab3 · 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 Blockage Prediction for Robust Dual-Band mmWave Communication

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:52:25.681702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:52:25.681702Z digest=sha256:a20e1e0205bad60ae87fdad7e52ebee27adea39ff3582bd19ce0c0b452aa7c45

Observation 4fdf3f2f-8d8d-4e6c-9fbe-030ee38e1a60 · inbound

Foundation Model-Aided Deep Reinforcement Learning for RIS-Assisted Wireless Communication cites this paper.

Foundation Model-Aided Deep Reinforcement Learning for RIS-Assisted Wireless Communication Generative AI-enabled Blockage Prediction for Robust Dual-Band mmWave Communication

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T04:45:46.037524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:45:46.037524Z digest=sha256:9ff166e3b4c3ec42dff2a91be3662d180acc892672955ca758e3740e77d49c8a

Observation 8a8edd72-6ba7-4c72-967a-3cc43cf813b9 · inbound

Deep Learning-Based Computer Vision for Beam Selection and Proactive Blockage Prediction cites this paper.

Deep Learning-Based Computer Vision for Beam Selection and Proactive Blockage Prediction Generative AI-enabled Blockage Prediction for Robust Dual-Band mmWave Communication

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:11:05.277912Z

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=2026-05-08T16:32:38.683176Z digest=sha256:fc5ae79eef3b67b2cea280fbcb6acbadf9182ae07f044898b251292c4b18083a