Paper Citation Record · LEDGER

From DeepSense to Open RAN: AI/ML Advancements in Dynamic Spectrum Sensing and Their Applications

As of 15 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2502.02889.

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

pith.paper-citation-record.v1
2502.02889 v2

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:47:01.902217Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

11 of 11 outbound references displayed

verified exact7
verified fuzzy2
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9a8fdfc2-2517-4795-ade4-a8d9acaebd3a · outbound

This paper cites Uvaydov, S.

From DeepSense to Open RAN: AI/ML Advancements in Dynamic Spectrum Sensing and Their Applications Uvaydov, S

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:47:02.698192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eab7b08a-fdb1-4314-b1bb-112e5cd37164 · outbound

This paper cites DeepSweep: Parallel and Scalable Spectrum Sensing via Convolutional Neural Networks.

From DeepSense to Open RAN: AI/ML Advancements in Dynamic Spectrum Sensing and Their Applications DeepSweep: Parallel and Scalable Spectrum Sensing via Convolutional Neural Networks

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-09T10:47:02.669920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 603f1e70-0fc8-427b-9c94-8f6c33e7b39e · outbound

This paper cites Stitching the Spectrum: Semantic Spectrum Segmentation with Wideband Signal Stitching.

From DeepSense to Open RAN: AI/ML Advancements in Dynamic Spectrum Sensing and Their Applications Stitching the Spectrum: Semantic Spectrum Segmentation with Wideband Signal Stitching

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-09T10:47:02.648739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e280a4c8-c690-4e52-93a3-79102ecb319d · outbound

This paper cites DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.

From DeepSense to Open RAN: AI/ML Advancements in Dynamic Spectrum Sensing and Their Applications DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T10:47:01.869092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c71599ac-adc5-49d2-a080-7c5ec74c0290 · outbound

This paper cites Amiri, N.

From DeepSense to Open RAN: AI/ML Advancements in Dynamic Spectrum Sensing and Their Applications Amiri, N

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:47:02.684117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4b1595bc-5f45-47d8-8412-2ab90c0f0cb5 · outbound

This paper cites an unresolved cited work.

From DeepSense to Open RAN: AI/ML Advancements in Dynamic Spectrum Sensing and Their Applications Unresolved cited work

Reference 6

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T10:47:02.613993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 033c4dc7-5c04-4671-bca8-a937a4956dd9 · outbound

This paper cites Sionna: An Open-Source Library for Next-Generation Physical Layer Research.

From DeepSense to Open RAN: AI/ML Advancements in Dynamic Spectrum Sensing and Their Applications Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T10:47:01.883988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 851b1ec0-4b8d-4d4b-8520-500a777d8975 · outbound

This paper cites Feraudo, S.

From DeepSense to Open RAN: AI/ML Advancements in Dynamic Spectrum Sensing and Their Applications Feraudo, S

Reference 8

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T10:47:02.386244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ae013b60-82e7-4f5f-94af-69a8681941c2 · outbound

This paper cites Prototyping O-RAN Enabled UAV Experimentation for the AERPAW Testbed.

From DeepSense to Open RAN: AI/ML Advancements in Dynamic Spectrum Sensing and Their Applications Prototyping O-RAN Enabled UAV Experimentation for the AERPAW Testbed

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-09T10:47:02.198052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 62c92e46-a951-4809-a08e-0ef67cf22914 · outbound

This paper cites Big Data Goes Small: Real-Time Spectrum-Driven Embedded Wireless Networking Through Deep Learning in the RF Loop.

From DeepSense to Open RAN: AI/ML Advancements in Dynamic Spectrum Sensing and Their Applications Big Data Goes Small: Real-Time Spectrum-Driven Embedded Wireless Networking Through Deep Learning in the RF Loop

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-09T10:47:02.178068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 681dfa3b-b7a4-483a-bcd5-17988c4da1f1 · outbound

This paper cites adobe:ns:meta/.

From DeepSense to Open RAN: AI/ML Advancements in Dynamic Spectrum Sensing and Their Applications adobe:ns:meta/

Reference 11

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T10:47:02.154876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.