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Paper Citation Record · LEDGER

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2608.08123.

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

pith.paper-citation-record.v1
2608.08123 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:27:47.344762Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy36
  • unresolved2
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 88e0dfb3-cc96-4938-a3d0-7e61f8de0cd8 · outbound

This paper cites Toward 6G TKµextreme connectivity: Architec- ture, key technologies and experiments,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Toward 6G TKµextreme connectivity: Architec- ture, key technologies and experiments,

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b3c1fec5-01ad-44bd-b3df-9ee465771fa4 · outbound

This paper cites Future technology trends of terrestrial International Mobile Telecommunications systems towards 2030 and beyond,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Future technology trends of terrestrial International Mobile Telecommunications systems towards 2030 and beyond,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-12T00:27:52.294850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3d445d1b-0ace-46fe-aaff-1d553706f471 · outbound

This paper cites Integrated sensing and communications: Toward dual-functional wireless networks for 6G and beyond,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Integrated sensing and communications: Toward dual-functional wireless networks for 6G and beyond,

Reference 3

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unresolved
no resolver link, observed 2026-08-12T00:27:46.375270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 88ed2535-786d-4021-a3c0-196306d6c225 · outbound

This paper cites The integrated sensing and communication revolution for 6G: Vision, techniques, and applications,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC The integrated sensing and communication revolution for 6G: Vision, techniques, and applications,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:52.044752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ba06b7b3-d268-4784-ad89-13323a320b96 · outbound

This paper cites Feasibility study on integrated sensing and communication,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Feasibility study on integrated sensing and communication,

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:46.417830Z digest=sha256:4cdeb21168b2e5c583948e58ffc6e3134255147d6b02998dcf913a8e27411a64

Observation a07b4e22-d211-4eb7-8e8b-3f987a342b3e · outbound

This paper cites Study on Integrated Sensing And Communication (ISAC) for NR,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Study on Integrated Sensing And Communication (ISAC) for NR,

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 96d83e45-bb00-4029-a851-2a899b703721 · outbound

This paper cites Device-free sensing in OFDM cellular network,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Device-free sensing in OFDM cellular network,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T00:27:46.465630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 40a12742-fdcb-4c6c-a9fe-997e04ce7141 · outbound

This paper cites Hierarchical reinforcement learning-based beam selection for integrated sensing and communication systems,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Hierarchical reinforcement learning-based beam selection for integrated sensing and communication systems,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:51.469040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:46.501343Z digest=sha256:c07ec15aec6e78924f58b6aa4af1151274592fcf7c10339a95cc058bbaac6201

Observation 39dee765-93d1-4b66-9b4a-a74a599efc18 · outbound

This paper cites Wypich, R.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Wypich, R

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:51.324751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6bc5aa91-d0a7-42bb-9fde-f46f992765a3 · outbound

This paper cites Target localization in cooperative ISAC systems: A Scheme based on 5G NR OFDM signals,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Target localization in cooperative ISAC systems: A Scheme based on 5G NR OFDM signals,

Reference 10

Resolution
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raw_fallback, observed 2026-08-12T00:27:51.173280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:46.592980Z digest=sha256:0cc5e081f45925d1ce8936f44e32f112d4e6fc461c5115408123032dbcded4b3

Observation b74b5c71-ac01-4e5e-b8e5-c1bec0c9f841 · outbound

This paper cites Polyphase codes with good periodic correlation properties (Corresp.),.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Polyphase codes with good periodic correlation properties (Corresp.),

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:51.034754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:46.651686Z digest=sha256:e57813aa0e08b8658135512db06e638ec7f9e3bfe6cc9fd2d5c30648e585a3e5

Observation eddaba47-32c8-401a-9f01-554f90b55e68 · outbound

This paper cites Cooperative sensing in cell-free massive MIMO ISAC systems: Performance opti- mization and signal processing,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Cooperative sensing in cell-free massive MIMO ISAC systems: Performance opti- mization and signal processing,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:50.969032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:46.734871Z digest=sha256:196191fa9ee76a6c6d53c86db12d4af46793c9d27b9f819577d5b5203fa790bc

Observation 6cc0c446-34e4-4a40-b178-59c845a2225f · outbound

This paper cites Integrated sensing and communication (ISAC) for vehicles: Bistatic radar with 5G-NR signals,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Integrated sensing and communication (ISAC) for vehicles: Bistatic radar with 5G-NR signals,

Reference 13

Resolution
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raw_fallback, observed 2026-08-12T00:27:50.832166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:46.794752Z digest=sha256:03fdcec7fec11c631b74decbeab0cfe9efbea953a1f83e7f5568333c5f5af2b5

Observation 768ac675-81f7-4cfa-b032-52d5a6fa899a · outbound

This paper cites Bi-static ISAC with asynchronous transceivers: Mechanism, solution, and field test,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Bi-static ISAC with asynchronous transceivers: Mechanism, solution, and field test,

Reference 14

Resolution
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raw_fallback, observed 2026-08-12T00:27:50.662430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:46.846071Z digest=sha256:48dd7d7f8901125d2ba0827a03907d62c994053e53d742283ef2a7df717655a7

Observation 236c48be-b1df-4539-93a9-6433adcf8b28 · outbound

This paper cites Model- driven deep neural network for enhancing direction finding with com- modity 5G gNodeB,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Model- driven deep neural network for enhancing direction finding with com- modity 5G gNodeB,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:50.514864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:46.861617Z digest=sha256:98aeeb594b6e42a4b4d98e59b517fc2f633bd447369fa80202aa301cbf460a2b

Observation 7d2a76f7-206b-48d6-9a3e-5ede421a36a2 · outbound

This paper cites Dual- domain feature-oriented interference suppression for FMCW automotive radar,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Dual- domain feature-oriented interference suppression for FMCW automotive radar,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:50.364750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:46.870164Z digest=sha256:33c6f6316aeada9a90f5cedb701e8279297a1b3fe205b18df098baef2f9c5a00

Observation ccae6bde-d79b-426c-b72b-15be9a9aa1e4 · outbound

This paper cites Mutual interference suppression using wavelet denoising in automotive FMCW radar systems,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Mutual interference suppression using wavelet denoising in automotive FMCW radar systems,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:50.194753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2194b4b9-253c-4009-b870-c813c8b874c3 · outbound

This paper cites An interference mitigation technique for automo- tive millimeter wave radars in the tunable Q-Factor wavelet transform domain,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC An interference mitigation technique for automo- tive millimeter wave radars in the tunable Q-Factor wavelet transform domain,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:50.014752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:46.885891Z digest=sha256:45b1571f614254c31ec741b5c3ad7dfdc8095ed21f698ea25dadaa227446c619

Observation 36752f01-deeb-4752-8682-ba952662600d · outbound

This paper cites Interference in automotive radar systems: Characteristics, mitigation techniques, and current and future research,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Interference in automotive radar systems: Characteristics, mitigation techniques, and current and future research,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:49.933803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0d7ab6d6-36c4-4b14-8b51-46167b2f8bf6 · outbound

This paper cites Automotive radar interference mitigation using adaptive noise canceller,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Automotive radar interference mitigation using adaptive noise canceller,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:49.784754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:46.904341Z digest=sha256:81880c95ed2cb9bb7fd186f0cf1b85379ca2f96fd1768c37f66b4a7d2e4bcce0

Observation 18d2b6a3-9411-44e8-9860-8cde9609f32e · outbound

This paper cites Automotive radar inter- ference mitigation using two-stage signal decomposition approach,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Automotive radar inter- ference mitigation using two-stage signal decomposition approach,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:49.638302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:46.921477Z digest=sha256:4f247f349adf915d656ac0e0f11b666d762e5be47c0cf0fac25a46c88312c65b

Observation 4c8fe744-9d20-4330-bd35-a9c043749791 · outbound

This paper cites Artificial intelligence of things: A survey,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Artificial intelligence of things: A survey,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:49.501805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:46.928589Z digest=sha256:730cfe31209c5d9cbe1963d6e8fccedb8bfe6f1fde439f3b83ab6daf5975a502

Observation 23172317-bb49-41f7-9806-92cee102cda3 · outbound

This paper cites Deep learning for radio-based human sensing: Recent advances and future directions,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Deep learning for radio-based human sensing: Recent advances and future directions,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:49.334909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:46.939086Z digest=sha256:6fd03fd3a1e6e44d99f80089da81ee66e1bc6fdceca37ba97d600da71b6afda8

Observation 4ea8cb64-f185-4b7d-afd9-5d9ffdde9c0e · outbound

This paper cites Fully convolutional neural networks for automotive radar interference mitigation,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Fully convolutional neural networks for automotive radar interference mitigation,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:49.174755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:46.964754Z digest=sha256:417749ada58bf6b9a9690775d3fe82ecb0f30cbc499d7b5fb20f3fae255fd7c0

Observation cb988b51-fad0-4062-8b4d-edad438187f8 · outbound

This paper cites Automotive radar interference mitigation using a convolutional autoencoder,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Automotive radar interference mitigation using a convolutional autoencoder,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:48.995303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:46.987217Z digest=sha256:a615390105fb969bde4859e3e8aa1bb52c94e525402ad673ff065795325f095f

Observation 2a4ab7ef-8f4a-4a3e-a109-e2538516fa3b · outbound

This paper cites Low-SNR recognition of UA V-to-ground targets based on micro-Doppler signatures using deep convolutional denoising encoders and deep residual learning,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Low-SNR recognition of UA V-to-ground targets based on micro-Doppler signatures using deep convolutional denoising encoders and deep residual learning,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:48.924851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:47.012122Z digest=sha256:1e26dce612471b45df3c681041fda4965fb23999fcfe388637b0ed139ec9d14f

Observation 3e0c52e3-7317-465e-bfb9-97f6bfffe728 · outbound

This paper cites Interference mitigation for automo- tive FMCW radar based on contrastive learning with dilated convolution,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Interference mitigation for automo- tive FMCW radar based on contrastive learning with dilated convolution,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:48.794994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:47.024511Z digest=sha256:313195eb873b8b614c64ddda8e13579332b11965e436882f1f84c841af9dd4bf

Observation 67d079f8-3ca1-4d70-8ea9-0640e9a3ec71 · outbound

This paper cites Physics-guided deep learning for dynamical systems: A survey,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Physics-guided deep learning for dynamical systems: A survey,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:48.644751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:47.054852Z digest=sha256:be14121ff691702db19fab3f4bcbaf7ffaa8b7ff34a998426003c9f93ca58cda

Observation 662f6f2a-cc7e-497e-bb0e-63805498f210 · outbound

This paper cites Prior-guided deep interference mitigation for FMCW radars,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Prior-guided deep interference mitigation for FMCW radars,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:48.454762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:47.094836Z digest=sha256:dfe0814e01f690768447742f50d3b5c16f1607dd664aa472eacd165b37acb1aa

Observation f49ade36-9e4d-4820-a371-b15990319e86 · outbound

This paper cites Interference suppression for an FM-radio-based passive radar via deep convolutional autoencoder,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Interference suppression for an FM-radio-based passive radar via deep convolutional autoencoder,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:48.394760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:47.141238Z digest=sha256:d6e9744a107a3fde28f9b420d3e2d3b8a8382f1af46eed31ed7c0cc72f97e52f

Observation 0cb5d77d-c797-49d7-9b11-fef62f2e5784 · outbound

This paper cites MFS: A motion feature separation model for UA V detection under passive radar,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC MFS: A motion feature separation model for UA V detection under passive radar,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:48.242779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:47.153752Z digest=sha256:c817167271b9323bcbd42fc0ba63c3521a7a153ea1aeac3c36a66d5fac22e1de

Observation eea47e5a-caea-48cb-8e02-d66e38367481 · outbound

This paper cites FUAS-Net: Feature-oriented unsupervised network for FMCW radar interference suppression,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC FUAS-Net: Feature-oriented unsupervised network for FMCW radar interference suppression,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:48.194753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:47.184737Z digest=sha256:f19759bf1c947c9aed635b75d0a8325255c3e667049122df4114a6f8915731e9

Observation 8fe74055-b0e3-4757-8692-0ab93a540b46 · outbound

This paper cites Ra-SPD: Radar sig- nal interference mitigation using spectral–spatial decomposition,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Ra-SPD: Radar sig- nal interference mitigation using spectral–spatial decomposition,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:48.104853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:47.234752Z digest=sha256:fcf8f33a79519363f1157a62ed450c9b622573889a4b90d71259cdbdebabcfd7

Observation 5599eb3c-8ccc-490c-8af9-718a2b38011a · outbound

This paper cites Convo- lutional long short-term memory networks for doppler-radar based target classification,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Convo- lutional long short-term memory networks for doppler-radar based target classification,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:48.032264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:47.264753Z digest=sha256:36b3f7cef012efb220b0cbeb30ee1edf7771f71a4a7a7f96701ac2b4466c20b5

Observation ad049284-36c4-45f9-8a03-f0d124bb552e · outbound

This paper cites NR; Physical channels and modulation,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC NR; Physical channels and modulation,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:47.923296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:47.285342Z digest=sha256:263c5b6c0639a2d1b6d1cdbcc0c00b8cf7260b85e0ff76cd50935b3aa3244f19

Observation c3ab87e7-f744-4072-8e1a-d7b2d923dae7 · outbound

This paper cites Gradient-based learning applied to document recognition,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Gradient-based learning applied to document recognition,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:47.856392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:47.297170Z digest=sha256:c28a6bf8220643cc348956e0b8f4a1648bca5246c8aa19e92884a3f364e8f072

Observation 4f90e98a-35d6-4d2b-9270-9dc48ba47b4f · outbound

This paper cites U-Net: Convolutional networks for biomedical image segmentation,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC U-Net: Convolutional networks for biomedical image segmentation,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:47.724744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:47.306586Z digest=sha256:5c0d1015c5dad48577bde6169ec7470602e5de6ae3a3ad696bb75d832e60bf61

Observation 65d1a692-56a2-4e82-a6f1-a4a37a371f55 · outbound

This paper cites Radar CFAR thresholding in clutter and multiple target situations,.

Characterization and Mitigation of Polyphase-Code Artifacts in 5G NR ISAC Radar CFAR thresholding in clutter and multiple target situations,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:47.544752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:27:47.344762Z digest=sha256:36d49607d32e4fb12d66d9e5c00a9fa256fcba2c3fe35f949370071f69d6936b

Pith citing papers

No inbound Pith citation observations are available.