Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs | Paper Citation Record

Observation 16ea33ea-6efb-4f32-b41c-1208e55346ac · outbound

This paper cites Error feedback approach for quanti- zation noise reduction of distributed graph filters.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Error feedback approach for quanti- zation noise reduction of distributed graph filters

Reference 1

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Observation 59918e39-f760-4d76-ba61-d3fc13bf008f · outbound

This paper cites The emerging field of signal processing on graphs: Ex- tending high-dimensional data analysis to networks and other irregular domains.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs The emerging field of signal processing on graphs: Ex- tending high-dimensional data analysis to networks and other irregular domains

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.307126Z

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Observation 0b2500a8-5b4a-4bee-a7de-ce31ea74555e · outbound

This paper cites Discrete signal processing on graphs.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Discrete signal processing on graphs

Reference 3

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Observation 6a6a4f43-4c08-44be-b124-8e3ea7a12085 · outbound

This paper cites Graph signal processing: Overview, challenges, and ap- plications.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Graph signal processing: Overview, challenges, and ap- plications

Reference 4

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Observation 3d9556bc-77a4-4d87-8e48-d49bdd7e8f12 · outbound

This paper cites Graph filters for signal processing and machine learning on graphs.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Graph filters for signal processing and machine learning on graphs

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.314810Z

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Observation c40443ba-0d93-4048-b0ec-3042c1a727ae · outbound

This paper cites Graph signal denoising via trilateral filter on graph spectral domain.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Graph signal denoising via trilateral filter on graph spectral domain

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.222489Z

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Observation 0687ac94-c853-42fa-97cf-a130fade6ea4 · outbound

This paper cites Compressive spectral clustering.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Compressive spectral clustering

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.218436Z

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Observation 526875f2-31c5-4f0b-a27a-f2f7b93b9717 · outbound

This paper cites Semi-supervised learning for graph to signal mapping: A graph signal wiener filter interpretation.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Semi-supervised learning for graph to signal mapping: A graph signal wiener filter interpretation

Reference 8

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Observation 5e0896e0-8b18-4a09-947d-7339afb601cd · outbound

This paper cites Localized spectral graph filter frames: A unifying framework, survey of design considerations, and numerical comparison.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Localized spectral graph filter frames: A unifying framework, survey of design considerations, and numerical comparison

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.208213Z

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Observation 736603e4-1d16-465a-9888-e844ec0ce50b · outbound

This paper cites Connecting the dots: Identifying network structure via graph signal processing.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Connecting the dots: Identifying network structure via graph signal processing

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.094274Z

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Observation be1234b9-df78-42f4-8c8a-8a60635f683e · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral filtering.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Convolutional neural networks on graphs with fast localized spectral filtering

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.201744Z

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Observation 79169362-375c-44de-b6be-5415c27bbf55 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Semi-Supervised Classification with Graph Convolutional Networks

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-19T11:22:16.501271Z

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Observation 69986199-daf9-4a2a-895b-29023f5ff566 · outbound

This paper cites Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:22:16.474900Z

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Observation 3dca6c46-bcf3-4e58-aea6-2bedcf17377e · outbound

This paper cites On vanishing gradients, over- smoothing, and over-squashing in gnns: Bridging recurrent and graph learning.arXiv preprint arXiv:2502.10818.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs On vanishing gradients, over- smoothing, and over-squashing in gnns: Bridging recurrent and graph learning.arXiv preprint arXiv:2502.10818

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:22:16.510497Z

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Observation 3cd716fc-d472-4428-b7a7-1402a3e8ac33 · outbound

This paper cites Graph neural networks in network neuroscience.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Graph neural networks in network neuroscience

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.191924Z

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Observation ec6911d0-4f76-4a66-9e73-7ad2ccf51960 · outbound

This paper cites Incorporating corporation relationship via graph convolutional neural networks for stock price prediction.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Incorporating corporation relationship via graph convolutional neural networks for stock price prediction

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.302941Z

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Observation 2300c87a-7039-401e-88a5-f6643bfc1637 · outbound

This paper cites Half a decade of graph convolutional net- works.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Half a decade of graph convolutional net- works

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.239208Z

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Observation 6d7021b5-6610-4554-88b9-91340f58101e · outbound

This paper cites Graphs, convolutions, and neural networks: From graph filters to graph neural networks.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Graphs, convolutions, and neural networks: From graph filters to graph neural networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.299117Z

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Observation b85d6788-a5e1-437c-8e89-86edbc51c29c · outbound

This paper cites Networked signal and information processing: Learning by multiagent systems.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Networked signal and information processing: Learning by multiagent systems

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.263021Z

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Observation a87355f3-c98d-4bfe-b425-2d316944fd7e · outbound

This paper cites Advances in distributed graph filtering.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Advances in distributed graph filtering

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.076904Z

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Observation c7ff924f-d101-4d38-973f-550480230f21 · outbound

This paper cites Autoregressive moving average graph filtering.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Autoregressive moving average graph filtering

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.059180Z

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Observation d5768c8a-131e-4908-b024-cf94b9a9fac6 · outbound

This paper cites Quantization for decentralized learning under subspace constraints.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Quantization for decentralized learning under subspace constraints

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.068016Z

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Observation 779afea1-e84c-4ec8-87df-d5bc9b306929 · outbound

This paper cites Filtering random graph processes over random time-varying graphs.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Filtering random graph processes over random time-varying graphs

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.183381Z

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Observation d32a1123-84c9-42e3-a60f-18d30d4d5e37 · outbound

This paper cites Iir filtering on graphs with random node-asynchronous updates.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Iir filtering on graphs with random node-asynchronous updates

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.179159Z

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Observation b23da9e6-2912-404e-b044-c4dd52da40e8 · outbound

This paper cites Asynchronous distributed edge-variant graph filters.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Asynchronous distributed edge-variant graph filters

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.175026Z

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Observation 9be44695-f3ae-4ce8-b39f-14d8511b7bd0 · outbound

This paper cites Distributed average consensus with dithered quantization.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Distributed average consensus with dithered quantization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.158520Z

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Observation 65fd2c74-5849-4976-b4d9-f84f6c18df48 · outbound

This paper cites An adaptive quantization scheme for distributed consensus.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs An adaptive quantization scheme for distributed consensus

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.171106Z

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Observation 42e76142-e8e2-4473-a22d-86320c8dda04 · outbound

This paper cites Gossip consensus algorithms via quantized communication.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Gossip consensus algorithms via quantized communication

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.166586Z

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Observation f17001d2-275e-42a2-97a3-2042bb88bcdc · outbound

This paper cites Distributed consensus algorithms in sensor networks: Quantized data and random link failures.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Distributed consensus algorithms in sensor networks: Quantized data and random link failures

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.162534Z

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Observation d1766f28-76ac-47c1-97e1-c982dca120c7 · outbound

This paper cites Distributed average consensus with quantization refinement.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Distributed average consensus with quantization refinement

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.102027Z

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Observation 63560908-7121-45a9-bfa8-bf0903f24be4 · outbound

This paper cites Finite-precision effects on graph filters.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Finite-precision effects on graph filters

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.154311Z

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Observation 8bca7995-50fe-4f38-992c-76c0d7d683e2 · outbound

This paper cites Optimized quantization in distributed graph signal processing.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Optimized quantization in distributed graph signal processing

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.283832Z

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Observation ecbf8fb3-05c8-49ed-bea0-6d8d3f119a25 · outbound

This paper cites Learning of robust spectral graph dictionar- ies for distributed processing.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Learning of robust spectral graph dictionar- ies for distributed processing

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.272089Z

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Observation 1215f2cc-c330-4563-a7f6-2315762b31d9 · outbound

This paper cites Quantization analysis and robust design for distributed graph filters.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Quantization analysis and robust design for distributed graph filters

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.150423Z

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Observation 3e20b98c-01eb-4640-98ba-f48569f8e4fd · outbound

This paper cites an unresolved cited work.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-05-19T11:22:17.231456Z

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Observation 488d379c-f2a8-46b1-8255-efc2d760bc24 · outbound

This paper cites Reduction of quantizing noise by use of feedback.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Reduction of quantizing noise by use of feedback

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.279970Z

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Observation 2a6e1f86-9995-40c3-9bce-1d7ef8494de2 · outbound

This paper cites Error spectrum shaping in narrow-band recur- sive filters.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Error spectrum shaping in narrow-band recur- sive filters

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.287801Z

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Observation ee95a755-7919-4af5-b871-d850049ee43f · outbound

This paper cites On error-spectrum shaping in state-space digital filters.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs On error-spectrum shaping in state-space digital filters

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.295264Z

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Observation 26b9f351-2857-43cd-8e08-356f58f8f7ce · outbound

This paper cites Noise reduction strategies for digital filters: Error spectrum shaping versus the optimal linear state-space formulation.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Noise reduction strategies for digital filters: Error spectrum shaping versus the optimal linear state-space formulation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.145575Z

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Observation e33eb7ea-84b9-469e-98ad-ae08e5cb3fb3 · outbound

This paper cites Roundoff noise minimiza- tion of state-space digital filters using separate and joint error feed- back/coordinate transformation optimization.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Roundoff noise minimiza- tion of state-space digital filters using separate and joint error feed- back/coordinate transformation optimization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.141277Z

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Observation 8d31b67f-7bca-4c61-8628-64ccea67f0c1 · outbound

This paper cites Jointly optimized error-feedback and realization for roundoff noise minimization in state-space digital filters.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Jointly optimized error-feedback and realization for roundoff noise minimization in state-space digital filters

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.136868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9945ab4e-0711-47f4-be17-ebf5f6cfdc75 · outbound

This paper cites Spectral shaping of circuit errors in digital-to-analog con- verters.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Spectral shaping of circuit errors in digital-to-analog con- verters

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.055037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fe5e36d2-8146-45ad-bfd5-6eceac5c77bc · outbound

This paper cites Spectral shaping of dithered quantization errors in sigma–delta modulators.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Spectral shaping of dithered quantization errors in sigma–delta modulators

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.132252Z

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Observation 86cde988-dcfa-41e7-b747-78a32a96decb · outbound

This paper cites 7.8 a 22nm delta- sigma computing-in-memory (∆Σcim) sram macro with near-zero-mean outputs and lsb-first adcs achieving 21.38tops/w for 8b-mac edge ai processing.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs 7.8 a 22nm delta- sigma computing-in-memory (∆Σcim) sram macro with near-zero-mean outputs and lsb-first adcs achieving 21.38tops/w for 8b-mac edge ai processing

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.081822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8efda97-e372-45a6-8e16-40c4da97a646 · outbound

This paper cites 1-bit stochastic gradient descent and its application to data-parallel distributed training of speech dnns.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs 1-bit stochastic gradient descent and its application to data-parallel distributed training of speech dnns

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.063278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b7840dc2-1c4e-4653-bee7-0e8b070d5d46 · outbound

This paper cites Sparsified sgd with memory.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Sparsified sgd with memory

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.089960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8f926dc1-ad17-4719-8bdf-db96e809d56c · outbound

This paper cites Error feedback fixes signsgd and other gradient compression schemes.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Error feedback fixes signsgd and other gradient compression schemes

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.126820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 20bfdd83-196b-47f1-83bc-f0581ac1fff3 · outbound

This paper cites Ef21: A new, simpler, theoretically better, and practically faster error feedback.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Ef21: A new, simpler, theoretically better, and practically faster error feedback

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.086338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8f5501a2-7dc1-4147-8fb8-17f686d51bf8 · outbound

This paper cites Momentum provably im- proves error feedback!.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Momentum provably im- proves error feedback!

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.122741Z

Source-reported events for the cited work

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Observation 4e49513f-7260-46c5-94c7-42c13cf6bbc3 · outbound

This paper cites On biased compression for distributed learning.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs On biased compression for distributed learning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.098169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 91fd04a7-2fd0-4ebe-b99f-6d51b280ff76 · outbound

This paper cites Differential error feedback for communication-efficient decentralized optimization.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Differential error feedback for communication-efficient decentralized optimization

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.118571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eb5d5653-cf6c-4909-a855-e32204d96cc9 · outbound

This paper cites Differential error feedback for communication-efficient decentralized learning.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Differential error feedback for communication-efficient decentralized learning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.110519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 105d3421-830d-4737-8547-9c2b386f25da · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Efficiently Modeling Long Sequences with Structured State Spaces

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-05-19T11:22:16.468125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1b2faad4-1eb1-4374-8ca6-2de19d1d16b3 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-19T11:22:16.488433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9869364a-9405-4762-9320-5115b7239d16 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-05-19T11:22:16.481349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 48f77373-055d-4cd1-9ce7-bbe8c5d00b74 · outbound

This paper cites Hippo: Recurrent memory with optimal polynomial projections.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Hippo: Recurrent memory with optimal polynomial projections

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.114384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f9523426-a6cb-4159-bd22-af033ef36bb7 · outbound

This paper cites Stochastic graph neural networks.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Stochastic graph neural networks

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.106012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4613a551-9b90-4fe3-acd1-038b073a940e · outbound

This paper cites Synthesis of linear-phase fir filters with a complex exponential impulse response.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Synthesis of linear-phase fir filters with a complex exponential impulse response

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.291508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 29fecfdf-fba0-4b1c-ab60-8c286f075b00 · outbound

This paper cites GSPBOX: A toolbox for signal processing on graphs.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs GSPBOX: A toolbox for signal processing on graphs

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-05-19T11:22:16.494725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 82e5b8d1-cdd0-4289-a2a9-5c85d1c45459 · outbound

This paper cites Quantization.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Quantization

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.276088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7bd81c7b-ca66-427f-bcaf-b23affc676ac · outbound

This paper cites Dithered quantizers.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Dithered quantizers

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.235082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 420be4ea-7146-4fa4-aa35-dc6f83822ed9 · outbound

This paper cites Multitask learning over graphs: An approach for distributed, streaming machine learning.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Multitask learning over graphs: An approach for distributed, streaming machine learning

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.187791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 77c48823-2f74-4cb7-9eab-2025a0020cfe · outbound

This paper cites Learning over multitask graphs—part i: Stability analysis.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Learning over multitask graphs—part i: Stability analysis

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.196729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a1be3d33-9a49-4623-9007-7e292a7e5d25 · outbound

This paper cites Learning over multitask graphs—part ii: Performance analysis.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Learning over multitask graphs—part ii: Performance analysis

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.267785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1dbcb5ae-1d8b-48b4-bf1f-4a9a9c3d05e6 · outbound

This paper cites Multitask Learning over Graphs Simulation.

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Multitask Learning over Graphs Simulation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:22:17.226756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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