Pith. sign in

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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.467715Z digest=sha256:0004166ad77a3b5519b508849fb8d5bbfdbfc2ccf09baf49e4bcc89547cb0de2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.473702Z digest=sha256:52a28faa1097783e3286c590a0ac651a33be7429522c6cf7047871f3170dfdbc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.480249Z digest=sha256:8bcb3b957009a65eda348e0cd45a82d4c7d720bdd87bef0fe8ebcb93cdb3d5ea

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.485760Z digest=sha256:bf454e4f04e36b3aa1d071c4b5968a447ebee119a8ab3a441065468f20b5516a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.491812Z digest=sha256:c7191056d8320cd1f9b721e43771ba36713e03b7f06100ad7469d499762705f8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.498752Z digest=sha256:4a51a395b98f9aab588f62111fe103802acbd8dd2d50276693508c3ca7f2f63a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.506743Z digest=sha256:93e3984fad7c09968e5cfd5b1e9d8145c770f14ec8fbcb342a5eb5c8d6ca1494

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.513523Z digest=sha256:a0bdb0bed51d5c9a6988ca434e7b68d23b6b55790f39904e817bb261532357cb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.519558Z digest=sha256:2502dfecb8a91e62eaa016cf2af4e556885c59e894790b00882018bfbf37cc0d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.524838Z digest=sha256:8cab72de9314e5d5cc8c469864c3cc2a4f5cf775289a7987c77f71b44252782c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.533907Z digest=sha256:697b2ec6b0a7c3cf59a108d0d0b686f8370f3db374a0ea0907c585fbff17967b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.538569Z digest=sha256:393bdf2294187547238829cb241fa109aca5e67f6d43d1256a686db5fd6b4981

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.543589Z digest=sha256:496ba5fa51b819f962b4064c0a420a35786c9357298dda20ae6130878bb3686d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.548460Z digest=sha256:62f1159c145dbb635c70df53ec8c1e8b6a93930f680dc72c8bd77a3decbf888e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.553628Z digest=sha256:b24aaa5fd40a4042b78a5d9e51582bd3be285793abaa3396135b394c07c3c6f4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.560028Z digest=sha256:8995265345ea8e05d12e35fe06d3a0d6017b1bfa49a09cd9c54609304bce8cfd

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=sha256:1015a49d2585da12c2c43f9a666d5070ec3fde3583e3d21659ddea5e20a9a486

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.571406Z digest=sha256:96164cb09b614b947e7a7e8b62d596d3e1876a8cd0a350e2f8b1f8dc91d13a16

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.577708Z digest=sha256:8acda5ba60fccee500598cf5620bd18d869ddfca957ffe75e2449892d3d7ff1d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.583228Z digest=sha256:c75a4d585441719445d96e7936d1f79a9087477d2f0b92a0d63a6b888ca37763

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.589015Z digest=sha256:f41df115e94231695fbf34586a3f9cb02594c8a33a1185ce334f8dab1d67288b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.594241Z digest=sha256:ae495ffe62f863bf014f1467e173d7e3132ae82474cbdaf5ef34280e78a84cd2

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=sha256:1032b19b836c9c6395e349dc7e92ba5145fbb487eef3a2baaacd73e8037819e4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.607712Z digest=sha256:05ea524d4b798a657a0c8780388c71085a20cfff48c556824d82a4b04ae2584d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.613012Z digest=sha256:fb4ab618233a0e3cc3f41abb39d2d7c6a2ec8a972d0b6d34367948c2ba288891

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.618810Z digest=sha256:4ed574659785bdffe5a89e77fef4ca3bedbeb697acf7b4cf8351b09dfdd0b103

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.623923Z digest=sha256:dacda1599ec11d0d72710a59a92b1e25f4d08153b747a20104d1a4d08127003c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.630514Z digest=sha256:752b05b7c2dbef21c98e502d2f3f2f5bdfa0c11cc2e44373b69a5a654b6f2d47

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.636864Z digest=sha256:5e7579dbdcb4746eb4bd70907af0632bcbf178028fd4357c9fbd4ab48e9b1a9f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.644267Z digest=sha256:db6bf51086223a9253d182df74d5661c6e4e7d4c3d7779aadb0ad311209e8b48

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.649810Z digest=sha256:053cfcf96ab27ddfae44339e9e1f984c2656fe7d94e94c136ffebb3fddbb3fa8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.656968Z digest=sha256:b861d3cfdc447d70258c019b75869d1aae472789fd5bad1f3972b80d55851375

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.664194Z digest=sha256:5ec6be5a392fa2a0718c517e3ec5013b21377e3e8beac9639db0b8d7249f904a

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:d9b07b1e24db30aeb0ee962fff02f5fbb0e375ca181c56d08c54141b3441c507

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=sha256:2f580ca40676ebff4e5b4a7a0884d25343af40a6b70b434827e9321238146b93

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:f07f688a9e533cf3b475340b042900627f7059834fd42524779eb1b36d002877

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.691026Z digest=sha256:4fbcc653a7a97c3a3c2b044b8187a5a7daae3d35527eb0101760ddf61998a015

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.699206Z digest=sha256:75f1a502165349e3ea1a6a9b1075b83468e666a48b69c28d70fbc216247b523d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:07:55.706174Z digest=sha256:7d04b97fc6f2082c811d6c59fcf0174a2df2a16dd5cafb142cfeeae260f04329

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T15:45:18.130614Z digest=sha256:282b051bb6576f0311002ffbfc42390f60b44212c196c1aa1da0cd72f4319907