Joint Detection and Decoding: A Graph Neural Network Approach | Paper Citation Record

Observation d13b8e7e-ad8f-4992-a4f0-59d36bdfd937 · outbound

This paper cites Graph Neural Network-Based Joint Equalization and Decoding,.

Joint Detection and Decoding: A Graph Neural Network Approach Graph Neural Network-Based Joint Equalization and Decoding,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.662839Z

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Observation 291a00a9-d655-4feb-a219-8044e80e0994 · outbound

This paper cites Proakis, Digital Communications.

Joint Detection and Decoding: A Graph Neural Network Approach Proakis, Digital Communications

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.646444Z

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Observation c64f99c4-f8af-475a-8071-02ffc381da2d · outbound

This paper cites Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts,.

Joint Detection and Decoding: A Graph Neural Network Approach Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.634233Z

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Observation 8fb7a2bf-e907-4360-83da-855bbc900682 · outbound

This paper cites Multilayer perceptron structures applied to adaptive equalisers for data communications,.

Joint Detection and Decoding: A Graph Neural Network Approach Multilayer perceptron structures applied to adaptive equalisers for data communications,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.621180Z

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Observation a83b299d-ca33-410a-bb8c-dac5c58464d2 · outbound

This paper cites Model-based Deep Learning,.

Joint Detection and Decoding: A Graph Neural Network Approach Model-based Deep Learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.609143Z

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Observation 53d10b60-d45b-4d3c-b0e9-806304b1495a · outbound

This paper cites Extrinsic Neural Network Equalizer for Channels with High Inter-Symbol-Interference,.

Joint Detection and Decoding: A Graph Neural Network Approach Extrinsic Neural Network Equalizer for Channels with High Inter-Symbol-Interference,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.592627Z

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Observation b3925886-475a-4c1e-afc9-a9b0f00a47d1 · outbound

This paper cites Joint neural network equalizer and decoder,.

Joint Detection and Decoding: A Graph Neural Network Approach Joint neural network equalizer and decoder,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.579781Z

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Observation bfab18a4-3986-405e-b0d4-8489068c40a3 · outbound

This paper cites Using recurrent neu- ral networks for adaptive communication channel equalization,.

Joint Detection and Decoding: A Graph Neural Network Approach Using recurrent neu- ral networks for adaptive communication channel equalization,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.566485Z

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Observation 5dc10653-ecba-49ed-8265-43e3b15b29e1 · outbound

This paper cites Neural Network Detection of Data Sequences in Communication Systems,.

Joint Detection and Decoding: A Graph Neural Network Approach Neural Network Detection of Data Sequences in Communication Systems,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.552752Z

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Observation 11ff3eab-53af-49b0-bd9b-2cd3e9bb5068 · outbound

This paper cites Neural network-based successive interference cancellation for non-linear bandlimited channels,.

Joint Detection and Decoding: A Graph Neural Network Approach Neural network-based successive interference cancellation for non-linear bandlimited channels,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.536842Z

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Observation 263788aa-3435-4991-abf6-9fed1cfb3978 · outbound

This paper cites Optimal decoding of linear codes for minimizing symbol error rate (corresp.),.

Joint Detection and Decoding: A Graph Neural Network Approach Optimal decoding of linear codes for minimizing symbol error rate (corresp.),

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.517593Z

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Observation ea3db6bf-d0db-497d-9526-55d414bb36f7 · outbound

This paper cites Data-driven factor graphs for deep symbol detection,.

Joint Detection and Decoding: A Graph Neural Network Approach Data-driven factor graphs for deep symbol detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.505363Z

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Observation c6fb3963-2f0d-469a-b069-f88db516165e · outbound

This paper cites Lower Bounds on Error Probability in the Presence of Large Intersymbol Interference,.

Joint Detection and Decoding: A Graph Neural Network Approach Lower Bounds on Error Probability in the Presence of Large Intersymbol Interference,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.492381Z

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Observation f0a206c7-8fa8-4a77-9422-11e63d815583 · outbound

This paper cites Adaptive Maximum-Likelihood Receiver for Carrier- Modulated Data-Transmission Systems,.

Joint Detection and Decoding: A Graph Neural Network Approach Adaptive Maximum-Likelihood Receiver for Carrier- Modulated Data-Transmission Systems,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.479455Z

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Observation cfd7afbe-a8e9-47f2-ad36-af77c6654806 · outbound

This paper cites Factor graphs and the sum- product algorithm,.

Joint Detection and Decoding: A Graph Neural Network Approach Factor graphs and the sum- product algorithm,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.465785Z

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Observation 66432290-4be0-4299-acc9-87eca13e386e · outbound

This paper cites On the application of factor graphs and the sum-product algorithm to ISI channels,.

Joint Detection and Decoding: A Graph Neural Network Approach On the application of factor graphs and the sum-product algorithm to ISI channels,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.452550Z

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Observation 11966095-6b60-444c-aaaa-d495efe25969 · outbound

This paper cites SISO Detection Over Linear Channels With Linear Complexity in the Number of Interferers,.

Joint Detection and Decoding: A Graph Neural Network Approach SISO Detection Over Linear Channels With Linear Complexity in the Number of Interferers,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.438365Z

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Observation 7450e044-4750-48f7-84c5-4b645429cdc7 · outbound

This paper cites A Novel Sum-Product Detection Algorithm for Faster-Than-Nyquist Signaling: A Deep Learning Ap- proach,.

Joint Detection and Decoding: A Graph Neural Network Approach A Novel Sum-Product Detection Algorithm for Faster-Than-Nyquist Signaling: A Deep Learning Ap- proach,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.426472Z

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Observation 3d9c7ef6-17fe-41ee-ac15-36d9d44399d0 · outbound

This paper cites Low-Complexity Near-Optimum Symbol Detection Based on Neural Enhancement of Factor Graphs,.

Joint Detection and Decoding: A Graph Neural Network Approach Low-Complexity Near-Optimum Symbol Detection Based on Neural Enhancement of Factor Graphs,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.411681Z

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Observation 093fb33b-f888-4653-b1d8-d5f3c23e5e77 · outbound

This paper cites Learning to decode linear codes using deep learning,.

Joint Detection and Decoding: A Graph Neural Network Approach Learning to decode linear codes using deep learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.398947Z

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Observation b70b955e-9f22-4dd5-a090-5f4b6924d3a8 · outbound

This paper cites The graph neural network model,.

Joint Detection and Decoding: A Graph Neural Network Approach The graph neural network model,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T20:21:17.450702Z

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Observation 2fa65752-241b-4914-a934-1f267f93f071 · outbound

This paper cites Factor graph neural networks,.

Joint Detection and Decoding: A Graph Neural Network Approach Factor graph neural networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.372927Z

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Observation 3fb32879-a395-444c-ae38-d05e3687be6a · outbound

This paper cites Neural Enhanced Belief Propagation on Factor Graphs,.

Joint Detection and Decoding: A Graph Neural Network Approach Neural Enhanced Belief Propagation on Factor Graphs,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.358105Z

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Observation 48ee55bb-3bf8-4a0c-92ae-3dacbba621e3 · outbound

This paper cites Graph Neural Networks for Channel Decoding,.

Joint Detection and Decoding: A Graph Neural Network Approach Graph Neural Networks for Channel Decoding,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.345225Z

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Observation 8556d157-d060-4ef9-bd3c-ae836337e728 · outbound

This paper cites Graph Neural Networks for Massive MIMO Detection.

Joint Detection and Decoding: A Graph Neural Network Approach Graph Neural Networks for Massive MIMO Detection

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T20:21:17.468350Z

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Observation 814bb7e9-b896-4154-9cf1-763a5b4ee916 · outbound

This paper cites A Neural Receiver for 5G NR Multi-User MIMO,.

Joint Detection and Decoding: A Graph Neural Network Approach A Neural Receiver for 5G NR Multi-User MIMO,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.331213Z

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Observation bd4c715d-9ba9-4d13-82b3-61e1be8134bd · outbound

This paper cites Graph Neural Network Aided MU-MIMO Detectors,.

Joint Detection and Decoding: A Graph Neural Network Approach Graph Neural Network Aided MU-MIMO Detectors,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T20:21:17.477409Z

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Observation 50590b76-2f28-4454-a235-200027093aa5 · outbound

This paper cites Initial Results on Deep Learning for Joint Channel Equalization and Decoding,.

Joint Detection and Decoding: A Graph Neural Network Approach Initial Results on Deep Learning for Joint Channel Equalization and Decoding,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.295521Z

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Observation cbed35fa-0f9d-4b99-8f61-6e5a8028fb8e · outbound

This paper cites Neural Network- Aided BCJR Algorithm for Joint Symbol Detection and Channel De- coding,.

Joint Detection and Decoding: A Graph Neural Network Approach Neural Network- Aided BCJR Algorithm for Joint Symbol Detection and Channel De- coding,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.283578Z

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Observation 40b46544-0c4f-43ba-a4bd-a99f9651a21e · outbound

This paper cites Joint Equalization and LDPC Decoding,.

Joint Detection and Decoding: A Graph Neural Network Approach Joint Equalization and LDPC Decoding,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.270013Z

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Observation f016b89d-3537-4c82-a65f-676f1b1e2f8b · outbound

This paper cites A comparison of optimal and sub-optimal MAP decoding algorithms operating in the log domain,.

Joint Detection and Decoding: A Graph Neural Network Approach A comparison of optimal and sub-optimal MAP decoding algorithms operating in the log domain,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.254580Z

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Observation f1bb9b27-b754-4afc-b8db-b222d37fa567 · outbound

This paper cites Convergence behavior of iteratively decoded parallel concatenated codes,.

Joint Detection and Decoding: A Graph Neural Network Approach Convergence behavior of iteratively decoded parallel concatenated codes,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.240364Z

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Observation 0a58aa6c-d9fa-481c-9203-6e9cc6d34142 · outbound

This paper cites Convergence analysis and optimal scheduling for multiple concatenated codes,.

Joint Detection and Decoding: A Graph Neural Network Approach Convergence analysis and optimal scheduling for multiple concatenated codes,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.226934Z

Source-reported events for the cited work

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

Observation 98cfe4df-ca20-4f9f-83bb-6fbfcf9e5b74 · outbound

This paper cites The turbo principle in mobile communications,.

Joint Detection and Decoding: A Graph Neural Network Approach The turbo principle in mobile communications,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.214854Z

Source-reported events for the cited work

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

Observation 0c5d8b3b-4a1b-4359-b33c-db9dbab11790 · outbound

This paper cites A mathematical theory of communication,.

Joint Detection and Decoding: A Graph Neural Network Approach A mathematical theory of communication,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T20:21:17.512735Z

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Unavailable: canonical work link unavailable.

Observation 3f55b412-856b-4aed-8e82-eea5601755de · outbound

This paper cites Extrinsic information transfer functions: model and erasure channel properties,.

Joint Detection and Decoding: A Graph Neural Network Approach Extrinsic information transfer functions: model and erasure channel properties,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.197371Z

Source-reported events for the cited work

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

Observation f0c7901b-c356-4024-aef7-e3baea782c92 · outbound

This paper cites Achievable Rates for Probabilistic Shaping.

Joint Detection and Decoding: A Graph Neural Network Approach Achievable Rates for Probabilistic Shaping

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T20:21:17.519969Z

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Observation 9a890cff-8c70-4711-91dd-3d97ae13263b · outbound

This paper cites Trainable Communication Systems: Concepts and Prototype,.

Joint Detection and Decoding: A Graph Neural Network Approach Trainable Communication Systems: Concepts and Prototype,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.185365Z

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Observation b309c3b6-5741-4de8-9fff-dfe897503372 · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks,.

Joint Detection and Decoding: A Graph Neural Network Approach Understanding the difficulty of training deep feedforward neural networks,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T20:21:17.528262Z

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Unavailable: canonical work link unavailable.

Observation 4671eb5b-14ab-4566-8661-25243f8f859c · outbound

This paper cites Graph Attention Networks.

Joint Detection and Decoding: A Graph Neural Network Approach Graph Attention Networks

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T20:21:17.532899Z

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Observation a2682560-9091-40f1-80bd-eb4651eb0f09 · outbound

This paper cites Adaptive channel memory truncation for maximum likelihood sequence estimation,.

Joint Detection and Decoding: A Graph Neural Network Approach Adaptive channel memory truncation for maximum likelihood sequence estimation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.156749Z

Source-reported events for the cited work

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Observation 5e470844-379f-453e-8dbf-3bd4b2dae2ee · outbound

This paper cites Optimal Channel Shortening for MIMO and ISI Channels,.

Joint Detection and Decoding: A Graph Neural Network Approach Optimal Channel Shortening for MIMO and ISI Channels,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.139492Z

Source-reported events for the cited work

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

Observation bb14c9dd-37e3-496d-afba-be68de566d4b · outbound

This paper cites On the application of factor graphs and the sum-product algorithm to isi channels,.

Joint Detection and Decoding: A Graph Neural Network Approach On the application of factor graphs and the sum-product algorithm to isi channels,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.127339Z

Source-reported events for the cited work

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

Observation a1fc82c6-2ebe-4760-b431-58d131224d24 · outbound

This paper cites Block expectation propagation equalization for ISI channels,.

Joint Detection and Decoding: A Graph Neural Network Approach Block expectation propagation equalization for ISI channels,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.114424Z

Source-reported events for the cited work

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

Observation aed2e177-0d18-447a-94c9-2a155243898c · outbound

This paper cites Learned Belief- Propagation Decoding with Simple Scaling and SNR Adaptation,.

Joint Detection and Decoding: A Graph Neural Network Approach Learned Belief- Propagation Decoding with Simple Scaling and SNR Adaptation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.101672Z

Source-reported events for the cited work

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

Observation 949fb9d1-5e60-4af9-bbac-847214ad17ba · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Joint Detection and Decoding: A Graph Neural Network Approach Adam: A Method for Stochastic Optimization

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T20:21:17.562799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98d9551c-2191-450d-a07c-ab680b38e76f · outbound

This paper cites Joint equalization and decoding: why choose the iterative solution?.

Joint Detection and Decoding: A Graph Neural Network Approach Joint equalization and decoding: why choose the iterative solution?

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.090282Z

Source-reported events for the cited work

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

Observation b81add4d-720e-4d09-9e7b-d1c7cdf2b483 · outbound

This paper cites Szczecinski and A.

Joint Detection and Decoding: A Graph Neural Network Approach Szczecinski and A

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.078038Z

Source-reported events for the cited work

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

Observation af51a38f-c6eb-4deb-89d6-679e5e43ca8b · outbound

This paper cites Maximum-likelihood sequence estimation of digital sequences in the presence of intersymbol interference,.

Joint Detection and Decoding: A Graph Neural Network Approach Maximum-likelihood sequence estimation of digital sequences in the presence of intersymbol interference,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.066903Z

Source-reported events for the cited work

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

Observation 060434d2-632c-4da6-a694-65f9e0efae91 · outbound

This paper cites Explainability in Graph Neural Networks: A Taxonomic Survey,.

Joint Detection and Decoding: A Graph Neural Network Approach Explainability in Graph Neural Networks: A Taxonomic Survey,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.054524Z

Source-reported events for the cited work

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

Observation 3ce2ba01-29b7-484f-86be-5567c8bda653 · outbound

This paper cites Local message passing on frustrated systems,.

Joint Detection and Decoding: A Graph Neural Network Approach Local message passing on frustrated systems,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.042640Z

Source-reported events for the cited work

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

Observation c6d54860-3aef-469b-bdf8-c65e8e345546 · outbound

This paper cites ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection,.

Joint Detection and Decoding: A Graph Neural Network Approach ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.031059Z

Source-reported events for the cited work

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

Observation d605380b-ea98-47af-b289-c586afcffbfd · outbound

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

Joint Detection and Decoding: A Graph Neural Network Approach Sionna: An Open-Source Library for Next-Generation Physical Layer Research,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.014213Z

Source-reported events for the cited work

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

Observation 8a7c3997-a8e4-49a1-9385-249ac75e2430 · outbound

This paper cites Bellman, Adaptive Control Processes: A Guided Tour.

Joint Detection and Decoding: A Graph Neural Network Approach Bellman, Adaptive Control Processes: A Guided Tour

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:17.998610Z

Source-reported events for the cited work

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

Observation 91424927-0716-47b6-b613-60154e037599 · outbound

This paper cites High-Dimensional Data Analysis: The Curses and Bless- ings of Dimensionality,.

Joint Detection and Decoding: A Graph Neural Network Approach High-Dimensional Data Analysis: The Curses and Bless- ings of Dimensionality,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:17.985146Z

Source-reported events for the cited work

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

Observation 52df1734-a207-4e2f-bdba-d76014effead · outbound

This paper cites Bit-interleaved coded modula- tion,.

Joint Detection and Decoding: A Graph Neural Network Approach Bit-interleaved coded modula- tion,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:17.969277Z

Source-reported events for the cited work

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

Observation 1cdd6714-a042-4ee5-a6c7-e3375604d1ff · outbound

This paper cites Iterative correction of intersymbol interference: Turbo-equalization,.

Joint Detection and Decoding: A Graph Neural Network Approach Iterative correction of intersymbol interference: Turbo-equalization,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:18.307910Z

Source-reported events for the cited work

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

Observation b0bd24b2-ba49-4620-81fb-f0f44d3fd81c · outbound

This paper cites DUIDD: Deep- Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems,.

Joint Detection and Decoding: A Graph Neural Network Approach DUIDD: Deep- Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:17.951816Z

Source-reported events for the cited work

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

Observation 99625a36-59fd-486f-8eb7-849a09009727 · outbound

This paper cites Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation,.

Joint Detection and Decoding: A Graph Neural Network Approach Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:17.933228Z

Source-reported events for the cited work

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

Observation 7e2c1876-f3ea-405f-aa9e-3f100a6dc4f7 · outbound

This paper cites Serial vs. Parallel Turbo-Autoencoders and Accelerated Training for Learned Channel Codes,.

Joint Detection and Decoding: A Graph Neural Network Approach Serial vs. Parallel Turbo-Autoencoders and Accelerated Training for Learned Channel Codes,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:17.917373Z

Source-reported events for the cited work

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

Observation 4002caf7-b288-441b-9f98-29f5f2920301 · outbound

This paper cites Minimum mean squared error equalization using a priori information,.

Joint Detection and Decoding: A Graph Neural Network Approach Minimum mean squared error equalization using a priori information,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:17.900453Z

Source-reported events for the cited work

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

Observation c1e88861-9614-43dd-97f9-c8802550360b · outbound

This paper cites Turbo EP-Based Equalization: A Filter-Type Implementation,.

Joint Detection and Decoding: A Graph Neural Network Approach Turbo EP-Based Equalization: A Filter-Type Implementation,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:17.878925Z

Source-reported events for the cited work

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

Observation 433f6022-d1d9-462a-8d22-bef0d38a1c16 · outbound

This paper cites A fast algorithm for the inversion of general Toeplitz matrices,.

Joint Detection and Decoding: A Graph Neural Network Approach A fast algorithm for the inversion of general Toeplitz matrices,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:17.859467Z

Source-reported events for the cited work

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

Observation 6b9026a3-7e15-4580-89ae-d088d5f6f177 · outbound

This paper cites Expectation Propagation as Turbo Equalizer in ISI Channels,.

Joint Detection and Decoding: A Graph Neural Network Approach Expectation Propagation as Turbo Equalizer in ISI Channels,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:17.843075Z

Source-reported events for the cited work

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

Observation 912942b3-f26e-48b9-9a77-aa8253a8e8b6 · outbound

This paper cites Learning Joint Detection, Equalization and Decoding for Short-Packet Communica- tions,.

Joint Detection and Decoding: A Graph Neural Network Approach Learning Joint Detection, Equalization and Decoding for Short-Packet Communica- tions,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:17.828893Z

Source-reported events for the cited work

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

Observation d00bf0bf-bbd8-417c-a782-3dbc59b23a58 · outbound

This paper cites Sparse Neural Network for Detection and Decoding of Non-Binary Polar-Coded SCMA,.

Joint Detection and Decoding: A Graph Neural Network Approach Sparse Neural Network for Detection and Decoding of Non-Binary Polar-Coded SCMA,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:17.816115Z

Source-reported events for the cited work

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

Observation 1f1ea19b-506c-4b89-80cf-b602a3826141 · outbound

This paper cites Design of a Standard-Compliant Real-Time Neural Receiver for 5G NR.

Joint Detection and Decoding: A Graph Neural Network Approach Design of a Standard-Compliant Real-Time Neural Receiver for 5G NR

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T20:21:17.658918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b39bf9d-2ec8-4afd-b068-7de034995668 · outbound

This paper cites From Algorithm to Implementation: Enabling High-Throughput CNN- Based Equalization on FPGA for Optical Communications,.

Joint Detection and Decoding: A Graph Neural Network Approach From Algorithm to Implementation: Enabling High-Throughput CNN- Based Equalization on FPGA for Optical Communications,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:17.800950Z

Source-reported events for the cited work

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

Observation 86ced5ef-66ad-4547-b952-366c5bfab12b · outbound

This paper cites Implementing neural network-based equalizers in a coherent optical transmission system using field-programmable gate arrays,.

Joint Detection and Decoding: A Graph Neural Network Approach Implementing neural network-based equalizers in a coherent optical transmission system using field-programmable gate arrays,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:21:17.786255Z

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.

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