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Paper Citation Record · LEDGER

Machine Learning for Future Wireless Communications: Channel Prediction Perspectives

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.18196.

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

pith.paper-citation-record.v1
2502.18196 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 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:28:52.244000Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T16:23:39.708231Z

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 c03d2dea-7133-40a4-a0ed-a1e153328e5d · inbound

Continual Learning for Wireless Channel Prediction cites this paper.

Continual Learning for Wireless Channel Prediction Machine Learning for Future Wireless Communications: Channel Prediction Perspectives

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T19:28:52.244000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:28:52.244000Z digest=sha256:3cacbf902df77d33d517cfb59e3844c9dabb1a37d15dde7c0e4ec029d087eb7a

Observation 0f40f80d-6ae2-4869-8796-5074546ee662 · inbound

CSI Prediction Using Diffusion Models cites this paper.

CSI Prediction Using Diffusion Models Machine Learning for Future Wireless Communications: Channel Prediction Perspectives

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T10:13:20.634051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:13:20.634051Z digest=sha256:88a6d676ba3333d55498ced1a08644e8df637ffa85aac234084eecb21dac8891

Observation 566440eb-4c29-4fcb-a848-e678bdd8f47c · inbound

CSI-4CAST: A Hybrid Deep Learning Model for CSI Prediction with Comprehensive Robustness and Generalization Testing cites this paper.

CSI-4CAST: A Hybrid Deep Learning Model for CSI Prediction with Comprehensive Robustness and Generalization Testing Machine Learning for Future Wireless Communications: Channel Prediction Perspectives

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T09:52:06.363251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:52:06.363251Z digest=sha256:49e15742d10dc8c18ba2b9051b9c3e135905f65f87dde6ad41668f3d9fb7ff5c

Observation 95c9a08e-93e9-4c1f-b8ea-50313e73207b · inbound

Transformer-Enhanced Reinforcement Learning: Fundamentals and Applications in Communication Networks cites this paper.

Transformer-Enhanced Reinforcement Learning: Fundamentals and Applications in Communication Networks Machine Learning for Future Wireless Communications: Channel Prediction Perspectives

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-29T16:23:39.710221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T16:14:25.741686Z digest=sha256:6329d2780adc61e5b6a81ca5b10029871e9e21c5d5fcd2001a87e8b364b6c7d8

Observation 55cfdc95-42f2-4c4b-86a7-38c11ce5f569 · inbound

Efficient Channel Prediction based on Gram-Square-Root Factorization using GMMs cites this paper.

Efficient Channel Prediction based on Gram-Square-Root Factorization using GMMs Machine Learning for Future Wireless Communications: Channel Prediction Perspectives

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-30T15:47:54.519563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T15:47:54.519563Z digest=sha256:961461731903865183811187cabc74488d874b8ce161013f5579da768287a433