Paper Citation Record · LEDGER

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems

As of 12 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.08717.

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

pith.paper-citation-record.v1
2607.08717 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T02:40:21.675520Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

35 of 35 outbound references displayed

verified exact1
verified fuzzy34
unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 205cdcc3-909f-495e-82ff-f629d2a4710f · outbound

This paper cites Interference management issues for the future 5G network: A review,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Interference management issues for the future 5G network: A review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.279241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ed6aa7e8-bb5a-4efa-934f-ca68e0d10f82 · outbound

This paper cites URLLC in Beyond 5G and 6G Networks: An Interference Management Perspective,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems URLLC in Beyond 5G and 6G Networks: An Interference Management Perspective,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.292411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8d0a59e5-9da3-4962-9207-e033f65a5862 · outbound

This paper cites From 5G to 6G Networks: A Survey on AI-Based Jamming and Interference Detection and Mitigation,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems From 5G to 6G Networks: A Survey on AI-Based Jamming and Interference Detection and Mitigation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.283516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1e0c8867-6a0a-4aed-8705-2a3ba536f5d4 · outbound

This paper cites A Systematic Review of Interference Mitigation Techniques in Current and Future UA V-Assisted Wireless Networks,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems A Systematic Review of Interference Mitigation Techniques in Current and Future UA V-Assisted Wireless Networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.277017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 760f37b8-092e-4d16-9334-321d7442ddc5 · outbound

This paper cites Integrating Terrestrial and Satellite Multibeam Systems Toward 6G: Techniques and Challenges for Interference Mitigation,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Integrating Terrestrial and Satellite Multibeam Systems Toward 6G: Techniques and Challenges for Interference Mitigation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.294796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 886b5a2f-8ddc-4745-afb8-b24033c85138 · outbound

This paper cites Interference Management for Integrated Sensing and Communication Systems: A Survey,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Interference Management for Integrated Sensing and Communication Systems: A Survey,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.286235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f69166f0-c595-417a-8365-33d3e6bfd46e · outbound

This paper cites Interference Burden in Wireless Communi- cations: A Comprehensive Survey From PHY Layer Perspective,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Interference Burden in Wireless Communi- cations: A Comprehensive Survey From PHY Layer Perspective,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.274664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 862f250d-c694-45a1-8f81-68ba4751c26f · outbound

This paper cites Upper Mid-Band Spectrum for 6G: Vision, Opportunity and Challenges,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Upper Mid-Band Spectrum for 6G: Vision, Opportunity and Challenges,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.280888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 835b737b-ac05-4ae6-a307-2c81a5a307fe · outbound

This paper cites Spectrum Sharing Across Terrestrial and Non-Terrestrial Services in the FR3 Upper Mid- band,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Spectrum Sharing Across Terrestrial and Non-Terrestrial Services in the FR3 Upper Mid- band,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.284462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c5e56803-e484-452c-bbd1-a26d6faeba23 · outbound

This paper cites 6G Wireless Communications in 7– 24 GHz Band: Opportunities, Techniques, and Challenges,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems 6G Wireless Communications in 7– 24 GHz Band: Opportunities, Techniques, and Challenges,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.287255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e8d371e3-544a-459f-a09d-8b741cee7b67 · outbound

This paper cites The effect of narrowband interfer- ence on wideband wireless communication systems,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems The effect of narrowband interfer- ence on wideband wireless communication systems,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.302540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d29123af-4ae9-4f1c-acb2-9870baa96395 · outbound

This paper cites Narrowband interference mitigation in OFDM systems,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Narrowband interference mitigation in OFDM systems,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.297155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 977ed91c-c7d2-4512-a3f9-30895d59df98 · outbound

This paper cites Multiple Interacting Narrowband Interferences Suppression Algorithm for OFDM Systems,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Multiple Interacting Narrowband Interferences Suppression Algorithm for OFDM Systems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.304711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 099105ac-b624-45bb-ae73-f238e9e93cc4 · outbound

This paper cites Narrowband Interference Mitigation Techniques: A Survey,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Narrowband Interference Mitigation Techniques: A Survey,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.268969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5e1fa75d-d1e1-4346-9139-490a1a095965 · outbound

This paper cites Deep Learning- Based Multi-Tone Interference Suppression for Short Polar Codes,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Deep Learning- Based Multi-Tone Interference Suppression for Short Polar Codes,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.290073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a29c52b1-b198-40d4-8b47-98f3306b5a4a · outbound

This paper cites Eliminating NB-IoT Interference to LTE System: A Sparse Machine Learning-Based Approach,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Eliminating NB-IoT Interference to LTE System: A Sparse Machine Learning-Based Approach,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.246355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fb455b22-0a5a-4b62-80e8-7d5198d14cde · outbound

This paper cites Joint Impulsive Noise and Narrowband Inter- ference Mitigation in Time-Varying OFDM Communications,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Joint Impulsive Noise and Narrowband Inter- ference Mitigation in Time-Varying OFDM Communications,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.282553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation db6693ab-55b7-4af5-91d8-f1f14cb39fdc · outbound

This paper cites Improving Soft Decoding by Spectral Leakage Reduction in Presence of Narrow Band Interference in PLC,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Improving Soft Decoding by Spectral Leakage Reduction in Presence of Narrow Band Interference in PLC,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.258397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cb4cdabc-ba7b-46a9-ae9f-6b7d979b22da · outbound

This paper cites NBI Spectral Leakage Mitigation Based on Compressed Sensing in OFDM Systems,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems NBI Spectral Leakage Mitigation Based on Compressed Sensing in OFDM Systems,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.253443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2f31a4e2-5c61-48ab-b7d3-b408076f5c4a · outbound

This paper cites Narrowband Interference Cancellation for OFDM Based on Deep Learning and Compressed Sensing,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Narrowband Interference Cancellation for OFDM Based on Deep Learning and Compressed Sensing,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.299825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a443d60e-1c60-450e-8dc0-f335415dba9c · outbound

This paper cites Interference Suppression Using Deep Learning: Current Approaches and Open Chal- lenges,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Interference Suppression Using Deep Learning: Current Approaches and Open Chal- lenges,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.290938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 19946e4a-606a-4286-8bfa-a0bfb0dcc937 · outbound

This paper cites Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.267215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8cf7da71-7a9b-4840-b590-c3b19a75b2a3 · outbound

This paper cites An Introduction to Deep Learning for the Physical Layer,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems An Introduction to Deep Learning for the Physical Layer,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.257445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bdd9226e-1d9e-46af-a6b1-32e2316a3811 · outbound

This paper cites Model-Driven Deep Learning for Physical Layer Communications,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Model-Driven Deep Learning for Physical Layer Communications,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.249922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 84dc8514-05da-4c57-a0bb-499663c7d91c · outbound

This paper cites Narrowband Interference Detection via Deep Learning,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Narrowband Interference Detection via Deep Learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.248168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cd12e7e2-a72f-45be-a906-6917a961d463 · outbound

This paper cites Deep Learning Noncoherent UWB Receiver Design,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Deep Learning Noncoherent UWB Receiver Design,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.292671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 23c4883e-b9e0-41ef-9068-9778473587fd · outbound

This paper cites ”Machine LLRning.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems ”Machine LLRning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.263587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 65298172-6b50-473a-8d98-b8bdf94cb1db · outbound

This paper cites Design and Implementation of a Low-Complexity Neural Detector for Correlated Noise,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Design and Implementation of a Low-Complexity Neural Detector for Correlated Noise,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.260020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b7fbd4f0-97d2-46ca-a21a-aaaa05bae850 · outbound

This paper cites Interference Mitigation in Turbo-Coded OFDM Systems Using Robust LLRs,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Interference Mitigation in Turbo-Coded OFDM Systems Using Robust LLRs,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.265379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 05fc360e-08a4-4250-970b-6b3fb910c582 · outbound

This paper cites Liu,Research on the Key Technologies in Narrowband Interference and Impulsive Noise Mitigation and Cancellation, ser.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Liu,Research on the Key Technologies in Narrowband Interference and Impulsive Noise Mitigation and Cancellation, ser

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.285381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d52d87c0-347c-4cb8-ac52-39ad44ffafde · outbound

This paper cites Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural Networks,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural Networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.264687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d188d72f-0dc1-4cfe-b1eb-85701b99ebbb · outbound

This paper cites TensorFlow: A system for large-scale machine learning.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems TensorFlow: A system for large-scale machine learning

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-07-10T02:46:42.946542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d5209514-3e92-4e14-8f36-68474c6ff1c2 · outbound

This paper cites Hoydis, S.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Hoydis, S

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.253823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 607e84ec-5d16-4245-a772-353768357f2c · outbound

This paper cites 17.1 NVIDIA GB10: SoC Built for AI Acceleration,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems 17.1 NVIDIA GB10: SoC Built for AI Acceleration,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.256777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4b733764-15d1-45f5-8553-69d8062d0c2d · outbound

This paper cites TensorRT Implementations of Model Quantization on Edge SoC,.

Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems TensorRT Implementations of Model Quantization on Edge SoC,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.255090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.