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Paper Citation Record · LEDGER

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection

As of 15 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2501.10407.

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

pith.paper-citation-record.v1
2501.10407 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:07:55.706174Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:45:18.130614Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:45:18.437172Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact3
  • verified fuzzy28
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bf0e0aaf-3868-4ac5-871f-4bd154ca9766 · outbound

This paper cites an unresolved cited work.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:07:56.493622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.467715Z digest=sha256:d8b1e3091211266fd3cf0f9106eafd420585c621cebb15618cfef30c7029fe1d

Observation 6eaac735-23b7-46f7-b054-59db74513d43 · outbound

This paper cites an unresolved cited work.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:07:56.475989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.473702Z digest=sha256:ae0489159253baa0e97ef120a103326f68cb03ac34d97f52373b0eff62786aac

Observation 44a11564-335e-4e9d-a757-38c944abecb7 · outbound

This paper cites Wideband Spec- trum Sensing Technique Based on Goodness-of-Fit Testing,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Wideband Spec- trum Sensing Technique Based on Goodness-of-Fit Testing,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.459385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.480249Z digest=sha256:24ba074d8e4433579a7466460d5ed41913e8cb569620fd99bca143d661f39b58

Observation da24fe89-7661-4872-aeef-c57e181d0669 · outbound

This paper cites Kurtosis-Based Approach for Detection of Targets in Noise,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Kurtosis-Based Approach for Detection of Targets in Noise,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.441907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.485760Z digest=sha256:a901f10bee624381500ffc45c774f5427da59f0a09f67cf8e328bcf7bcd78dee

Observation 1673fc18-0e05-45b7-9618-2a817d771b53 · outbound

This paper cites Con- volutional Radio Modulation Recognition Networks,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Con- volutional Radio Modulation Recognition Networks,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.424555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.491812Z digest=sha256:42b98f154d1a91cf24bc91db8f4dc317b624c46e61eba342aa52967178ef2ac9

Observation 14220d8e-c048-4756-831a-7f5943b77906 · outbound

This paper cites Unsu- pervised Representation Learning of Structured Radio Communication Signals,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Unsu- pervised Representation Learning of Structured Radio Communication Signals,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.406244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.498752Z digest=sha256:3da23b241b3190ccba4df71d5aa53943c642ff8c5667428ca568838b9909ca2f

Observation caff9fa7-2707-4633-92fe-134f4a4d53f1 · outbound

This paper cites Over-the- Air Deep Learning Based Radio Signal Classification,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Over-the- Air Deep Learning Based Radio Signal Classification,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.387719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.506743Z digest=sha256:510d43c6c34318820d1c5400f6c0db64f66d31aec745fe77ba11a8078bc4e006

Observation 9c025fba-45f5-4230-bb17-5adfd1a4d6f0 · outbound

This paper cites Deep and Ensemble Learning to Win the Army RCO AI Signal Classification Challenge,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Deep and Ensemble Learning to Win the Army RCO AI Signal Classification Challenge,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.371472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.513523Z digest=sha256:fa0dd3b69795e7247567330527e2d626374fa80a1aefa99dceaffdec67bc694a

Observation 238f6166-9196-466a-b34c-b12782990c0f · outbound

This paper cites Expert RF Feature Extraction to Win the Army RCO AI Signal Classification Challenge,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Expert RF Feature Extraction to Win the Army RCO AI Signal Classification Challenge,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.354161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.519558Z digest=sha256:342474c28d65d6f8738417ea0b9b4dc484ca3a85374d57142c407198f11ee8fe

Observation 58e1f1bd-78e0-4ebd-a331-b784d2b57d13 · outbound

This paper cites Automatic Modulation Classification: A Deep Architecture Survey,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Automatic Modulation Classification: A Deep Architecture Survey,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.337644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.524838Z digest=sha256:295dbb89bda257ec6dc0d7229c5591ea81678bb076012bf99b998b9f0a77037a

Observation a896f785-e0d6-482d-b20c-084409a3f92a · outbound

This paper cites Learning Robust General Radio Signal Detection Using Computer Vision Methods,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Learning Robust General Radio Signal Detection Using Computer Vision Methods,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.319841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.533907Z digest=sha256:34f287946159e4de5e82e747c215e3121b495e16d743ad8c9c4aa56b7275f512

Observation 212b4762-7a76-4509-a885-1f60cac31ef4 · outbound

This paper cites Augmenting Radio Signals With Wavelet Transform for Deep Learning-Based Modulation Recognition,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Augmenting Radio Signals With Wavelet Transform for Deep Learning-Based Modulation Recognition,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.303069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.538569Z digest=sha256:dce17fcae453dbceb238e2f80b9b6882cb02fac1a6aba05b7401046c9460d863

Observation dc99467f-4bbb-4416-b8a9-edbbfa4d77d1 · outbound

This paper cites WaveNet: Towards Waveform Classification in Integrated Radar-Communication Systems with Improved Accuracy and Reduced Complexity,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection WaveNet: Towards Waveform Classification in Integrated Radar-Communication Systems with Improved Accuracy and Reduced Complexity,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.285598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.543589Z digest=sha256:d4562ca1fb85ae19578ee45086b5523b810bce8fbd30c7ec8f006043ca7fb8d6

Observation c90e5fb6-e770-4493-a14c-97114637e811 · outbound

This paper cites Accurate LPI Radar Wave- form Recognition With CWD-TFA for Deep Convolutional Network,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Accurate LPI Radar Wave- form Recognition With CWD-TFA for Deep Convolutional Network,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.266304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.548460Z digest=sha256:c47d56679b1ad68ffbcc00d2fa73365ef6246be10fe764cb8842ae0344b25608

Observation 331f6b99-22f0-447c-95d6-3906302b5928 · outbound

This paper cites Fourier, Gabor, Morlet or Wigner: Comparison of Time-Frequency Transforms.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Fourier, Gabor, Morlet or Wigner: Comparison of Time-Frequency Transforms

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:07:55.912593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.553628Z digest=sha256:4bcb018f84e8985b4bdd608a7e26ccd9073b5100d9bf3906fcb2b47fb2eba923

Observation a2fc1ce3-e6ff-4716-b4f7-9d91ff99e62a · outbound

This paper cites A Survey on Spectrum Sensing Algorithms for Cognitive Radio Networks,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection A Survey on Spectrum Sensing Algorithms for Cognitive Radio Networks,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.248266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.560028Z digest=sha256:12c33f8c33f5ffd848945c69bb6d5d656422cfaaed6bee7fe65d6bd88939b011

Observation cf757759-6a08-4b65-8af5-6d7d1c1f1a71 · outbound

This paper cites AST: Audio Spectrogram Transformer.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection AST: Audio Spectrogram Transformer

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:55.564974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:55.564974Z digest=sha256:b12787a292a94a5fe368713c6de98990378d2568c671d57415e69d0b1e5c2730

Observation 9f0f33d1-3b08-474b-ba1c-47902d94219b · outbound

This paper cites Multi-Task Learning For Radar Signal Characterisation,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Multi-Task Learning For Radar Signal Characterisation,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.229375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.571406Z digest=sha256:41d0d9c228a83004ec2908cb9a7493b9c4972038728aab4562149dcfd1bfafc0

Observation 14d23918-be3f-445b-a455-f8ffd868a35c · outbound

This paper cites Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.211259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.577708Z digest=sha256:d7bac27e61b1cc32460f2ca3266f8fcab290755eedb6eb360c526e6a7efcba75

Observation b0dab666-e096-4ccc-b90c-b5836f200f29 · outbound

This paper cites Multi-Stage Learning for Radar Pulse Activity Segmentation,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Multi-Stage Learning for Radar Pulse Activity Segmentation,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.193060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.583228Z digest=sha256:f7ee570e14af8a551bf24b4d80de629ab26f14f5e73b0a398328fd4bfa02f4aa

Observation 20ba4b1e-521a-42d0-b1e1-20cd37c838bb · outbound

This paper cites Deep Learning Classification of 3.5-GHz Band Spectrograms With Applications to Spectrum Sensing,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Deep Learning Classification of 3.5-GHz Band Spectrograms With Applications to Spectrum Sensing,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.176210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.589015Z digest=sha256:9de478b68a6002314c15da514b5bbd4b4ebc382491c0f8b749ea8249ca857d8f

Observation 0ab9a09e-ba6d-4661-bf8d-db0465a34c6f · outbound

This paper cites Automatic Radar Signal Detection and FFT Estimation using Deep Learning.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Automatic Radar Signal Detection and FFT Estimation using Deep Learning

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:07:55.861452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.594241Z digest=sha256:5ff98695c6112f5eda76eb939ce067652ac5108153687f85c933579651cacb22

Observation 1b479d20-ca22-4730-b8b6-2e0bbca84451 · outbound

This paper cites Deep Learning for Radar: A Survey,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Deep Learning for Radar: A Survey,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:55.602158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:55.602158Z digest=sha256:bed0cd2add08c0375df5cb1f2fa958c40d22843e91300137771eb5d67223ff08

Observation d3b0e5fe-a075-4f7f-918c-2d4bd56526ad · outbound

This paper cites LPI Radar Waveform Recognition Based on CNN and TPOT,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection LPI Radar Waveform Recognition Based on CNN and TPOT,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.143604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.607712Z digest=sha256:12858af8240d84785467dbbdc5f0e8871c1e8530700878e4057221ce076a6f1c

Observation 52064d21-87b6-41cd-b96a-5ec0afa801f4 · outbound

This paper cites LSTM Framework for Classification of Radar and Communications Signals,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection LSTM Framework for Classification of Radar and Communications Signals,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.124850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.613012Z digest=sha256:67dc4c93ded173ed52572f1bad928bc3e390095210dc8590115ff783935318d4

Observation c1613fd5-c1dd-470c-8cba-16f27cb9b691 · outbound

This paper cites an unresolved cited work.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:07:56.104997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.618810Z digest=sha256:7e87d045d3325d8bace49e7a6ccd30e40d0d7762ff3d097617ca28fb742fee53

Observation cd34b573-d0a5-466a-b758-3966f0587d53 · outbound

This paper cites Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model Compression.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model Compression

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:07:55.832245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.623923Z digest=sha256:ca06324da012fc558c5fc5e129bb1227f944956db0c2b40b2b6361f8f80a62db

Observation b095ea28-929d-4d9a-a4b3-e3adf7d9e9cd · outbound

This paper cites RF Dataset of Incumbent Radar Signals in the 3.5 GHz CBRS Band,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection RF Dataset of Incumbent Radar Signals in the 3.5 GHz CBRS Band,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.085903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.630514Z digest=sha256:34101a7a953672ce20881cdbb97876b1be4ebde6a2c65e3019f714fc502be4c6

Observation 78a4bc62-dfe5-4ed4-82e5-463fc958458a · outbound

This paper cites Deep Learning for Radar Signal Detection in the 3.5 GHz CBRS Band,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Deep Learning for Radar Signal Detection in the 3.5 GHz CBRS Band,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.067580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.636864Z digest=sha256:1ebc5ef119fb38261035abdaf13019cc2bb5618ffd956d517a1df69774319938

Observation 1d0deba6-ed54-4261-9c33-f43b0c771cc4 · outbound

This paper cites Com- bined RF-Based Drone Detection and Classification,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Com- bined RF-Based Drone Detection and Classification,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.048598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.644267Z digest=sha256:453e37af23ec349a057e6340a8c6cd623cc09a02a9dccc16e2e85ff81e287f4b

Observation 35804f21-b756-4c8d-994a-8cdef1d374dc · outbound

This paper cites Finding waldo in the cbrs band: Signal detection and localization in the 3.5 ghz spectrum,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Finding waldo in the cbrs band: Signal detection and localization in the 3.5 ghz spectrum,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.029453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.649810Z digest=sha256:00b53655bb02ca980c9a61c0b6b6a69b37a2de1b1bf304ef282a4944ec7460f1

Observation 77a2ea89-b0b9-4a4f-9dcc-e99a4a3cb27e · outbound

This paper cites Lynch Jr., An Introduction to RF Stealth.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Lynch Jr., An Introduction to RF Stealth

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:56.009522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.656968Z digest=sha256:d4aeef492f21f7fc3ffe51c837ccfe4fc169da03cf4bafbc360702025682b368

Observation 84c9b54f-5070-4244-8a35-ae7c5cf928ed · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection You Only Look Once: Unified, Real-Time Object Detection,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:55.988888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.664194Z digest=sha256:ab1adb635e8678ebba4f3cfe61148501966c18d31267625c04140d7269450fa8

Observation 2b104463-6a47-4d68-8a91-51f55435013d · outbound

This paper cites YOLOv3: An Incremental Improvement.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection YOLOv3: An Incremental Improvement

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:55.669753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:55.669753Z digest=sha256:358daa91dc9b88bb2e42de98d4a7dc1a2de6e5835411c3603e4c35abf6cd5943

Observation ac9a0626-b73a-42ac-a183-45d0794953b2 · outbound

This paper cites YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:55.676732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:55.676732Z digest=sha256:5eaf528492784f1e156fa09a07c0ab07fb8f20e6e3acef73386403a8b853327d

Observation 14a4133e-b867-47fd-9364-26e9e59eac4d · outbound

This paper cites YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T22:07:55.683538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:07:55.683538Z digest=sha256:d97ed0286e12cd1f1fcb6eb6a8b9a8de825dc800effe70770e147a943c16d884

Observation c7f0e226-dbf0-4ea2-b372-92fc9873cfb1 · outbound

This paper cites DETRs Beat YOLOs on Real- Time Object Detection,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection DETRs Beat YOLOs on Real- Time Object Detection,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:55.971811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.691026Z digest=sha256:d1e36a77faf2bc5b690e1ca1c4145ae8c898c0ef3dfd0223cb0a379975b87d26

Observation 17577cb9-4e85-4759-b233-7490b391b582 · outbound

This paper cites Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:55.952784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.699206Z digest=sha256:ff2d5eea8012e21c3340e824be33555ec3ab8c56b1762db7f31fd7708e010601

Observation 410f4f4f-17d8-4332-8819-8b473fca19ab · outbound

This paper cites The PASCAL Visual Object Classes (VOC) Challenge,.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection The PASCAL Visual Object Classes (VOC) Challenge,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:07:55.931574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:07:55.706174Z digest=sha256:0122ab499329ec384084cba7484bfedc774d529d348e31f6debd02cacc2b9b5d

Pith citing papers

Observation b2662787-b5e7-4d75-bf6b-de92513d9453 · inbound

CSRD2025: A Large-Scale Synthetic Radio Dataset for Spectrum Sensing in Wireless Communications cites this paper.

CSRD2025: A Large-Scale Synthetic Radio Dataset for Spectrum Sensing in Wireless Communications RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:45:18.442278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T15:45:18.130614Z digest=sha256:b42c49457afdda1cfe26b2e7fbe6e6cfe5df408283913646dbcfa98fddb4faaa