Paper Citation Record · LEDGER

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement

As of 16 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2505.22051.

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

pith.paper-citation-record.v1
2505.22051 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:22:21.827008Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:22:18.327954Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T13:22:21.986172Z

Reference resolution

44 of 44 outbound references displayed

verified exact0
verified fuzzy40
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 904e6dd9-bfda-489f-a788-ec1b736fbe4c · outbound

This paper cites ARiSE: Auto-Regressive Multi-Channel Speech Enhancement.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement ARiSE: Auto-Regressive Multi-Channel Speech Enhancement

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T13:22:22.065719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e7f34052-54ca-43ff-bbd7-f601a2abb5dc · outbound

This paper cites Without loss of generality, microphone q∈ {1,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Without loss of generality, microphone q∈ {1,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:29.748683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9d6ced7b-339a-4274-9951-b7c37fd4389b · outbound

This paper cites an unresolved cited work.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:22:29.537585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 88184e03-f84b-4afc-bbf6-0582ad800528 · outbound

This paper cites an unresolved cited work.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:22:29.229775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 79d3cc98-1b18-4f4e-bbc0-76295655f4d3 · outbound

This paper cites an unresolved cited work.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:22:29.044778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 02acda85-f1d9-4c92-9663-bb7ce0e64767 · outbound

This paper cites 30+ years of source separation research: Achieve- ments and future challenges,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement 30+ years of source separation research: Achieve- ments and future challenges,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:27.928270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 954935a0-c15b-4300-83d1-fbcf5e0b1e05 · outbound

This paper cites A consol- idated perspective on multimicrophone speech enhancement and source separation,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement A consol- idated perspective on multimicrophone speech enhancement and source separation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:28.913211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 215f8465-93f6-40d4-a202-183ec7a37936 · outbound

This paper cites Speech processing for digital home assistants: Combining signal process- ing with deep-learning techniques,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Speech processing for digital home assistants: Combining signal process- ing with deep-learning techniques,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:28.677518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8f010519-a3cd-4452-9ded-0ed494eb0b72 · outbound

This paper cites Microphone array signal processing and deep learn- ing for speech enhancement: Combining model-based and data- driven approaches to parameter estimation and filtering,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Microphone array signal processing and deep learn- ing for speech enhancement: Combining model-based and data- driven approaches to parameter estimation and filtering,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:28.521014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6bdc6e11-a54a-4e89-92e4-f04bf2f76a0e · outbound

This paper cites Multi-microphone complex spectral mapping for utterance-wise and continuous speaker sepa- ration,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Multi-microphone complex spectral mapping for utterance-wise and continuous speaker sepa- ration,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:28.311182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 32ca94ea-8b74-4f79-b190-22545e97d5ea · outbound

This paper cites Neural spectrospatial filter- ing,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Neural spectrospatial filter- ing,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:28.172642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9bf9c39d-0a01-4bc3-b970-d560469551fe · outbound

This paper cites Implicit filter-and-sum network for end-to-end multi-channel speech separation,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Implicit filter-and-sum network for end-to-end multi-channel speech separation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:26.960261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a9cb0feb-ab91-455f-958e-040ac9eafa59 · outbound

This paper cites TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:27.765652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9e24a723-8d2e-4a4a-9ead-e1906ccce7cb · outbound

This paper cites Beamforming: A versatile ap- proach to spatial filtering,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Beamforming: A versatile ap- proach to spatial filtering,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:27.587876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1d0be19d-3bd8-4830-af4b-53cf4676f3c2 · outbound

This paper cites Acoustic beam- forming for hearing aid applications,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Acoustic beam- forming for hearing aid applications,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:27.412169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation be26a334-dc8d-428c-a66b-f57e696959f1 · outbound

This paper cites USDnet: Unsupervised speech dereverberation via neural forward filtering,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement USDnet: Unsupervised speech dereverberation via neural forward filtering,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:27.291807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b6647ad6-6f9b-4004-9584-5656d99c8d2c · outbound

This paper cites To- ward universal speech enhancement for diverse input conditions,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement To- ward universal speech enhancement for diverse input conditions,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:27.091341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 20d61ea6-90a9-4dda-ba67-c6001bf269b1 · outbound

This paper cites Improved MVDR beamforming using single-channel mask prediction networks,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Improved MVDR beamforming using single-channel mask prediction networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:26.007959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fba91d20-b11c-4d37-b6f3-2b0363277bed · outbound

This paper cites Real-time multichannel speech separation and en- hancement using a beamspace-domain-based lightweight CNN,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Real-time multichannel speech separation and en- hancement using a beamspace-domain-based lightweight CNN,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:26.791086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e8779875-0818-4d0a-a8ac-f04872f6cf9c · outbound

This paper cites Supervised speech separation based on deep learning: An overview,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Supervised speech separation based on deep learning: An overview,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:26.606620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e768e130-138f-4488-8abb-1f3836edd57a · outbound

This paper cites Multi-channel speech en- hancement using beamforming and nullforming for severely ad- verse drone environment,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Multi-channel speech en- hancement using beamforming and nullforming for severely ad- verse drone environment,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:26.495163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9881e3e6-e728-4aae-aeae-56747adccfe5 · outbound

This paper cites Enhancing end-to-end multi-channel speech separation via spatial feature learning,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Enhancing end-to-end multi-channel speech separation via spatial feature learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:26.264906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3bb9a3ce-45ba-435e-bdac-19f4965f71bd · outbound

This paper cites Iterative autoregression: a novel trick to improve your low-latency speech enhancement model,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Iterative autoregression: a novel trick to improve your low-latency speech enhancement model,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:24.876439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6f37ad1a-2e74-426c-9a95-fd47628bd37d · outbound

This paper cites Array geometry-robust attention-based neural beam- former for moving speakers,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Array geometry-robust attention-based neural beam- former for moving speakers,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:25.788303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6e989f15-ec71-48dd-8d26-6749fe0eebf7 · outbound

This paper cites Attention-based beam- former for multi-channel speech enhancement,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Attention-based beam- former for multi-channel speech enhancement,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:25.616295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 359bf343-5ba7-4914-9d70-3a6bbb3718e4 · outbound

This paper cites On optimal frequency- domain multichannel linear filtering for noise reduction,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement On optimal frequency- domain multichannel linear filtering for noise reduction,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:25.392422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 572d776d-0c62-43cc-a5aa-e5176f87d269 · outbound

This paper cites On the output SNR of the speech- distortion weighted multichannel Wiener filter,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement On the output SNR of the speech- distortion weighted multichannel Wiener filter,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:25.270195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9629ad80-18b4-4e31-934c-67d21a8e4737 · outbound

This paper cites Recurrent deep stacking networks for supervised speech separation,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Recurrent deep stacking networks for supervised speech separation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:25.061393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5c9ec024-828a-4e57-b7ef-a663574637ca · outbound

This paper cites Courville, I.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Courville, I

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:23.986543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7842365e-4bb3-40b0-bfdc-ea40811b5176 · outbound

This paper cites Listening and grouping: An online autoregressive approach for monaural speech separation,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Listening and grouping: An online autoregressive approach for monaural speech separation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:24.665553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9a3cb909-889f-412b-893c-cf8d3b71c90f · outbound

This paper cites An online speaker-aware speech separation approach based on time- domain representation,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement An online speaker-aware speech separation approach based on time- domain representation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:24.533297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 871c31bf-058d-437e-866f-95178b248154 · outbound

This paper cites PARIS: Pseudo-autoregressive siamese training for online speech separation,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement PARIS: Pseudo-autoregressive siamese training for online speech separation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:24.370911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6efc5734-f8e7-4497-a6b6-17eea8040bc0 · outbound

This paper cites Neural network based spectral mask estimation for acoustic beamforming,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Neural network based spectral mask estimation for acoustic beamforming,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:26.155963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1f285779-3c0d-4c4d-bdd5-2d6c69c59d6e · outbound

This paper cites ARiSE non-parallel.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement ARiSE non-parallel

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:29.389984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1365d72b-7459-43f2-8740-be548b670d2d · outbound

This paper cites Robust MVDR beamforming using time-frequency masks for online/offline ASR in noise,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Robust MVDR beamforming using time-frequency masks for online/offline ASR in noise,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:24.196035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 687c6f55-3272-45fb-bfe8-487f9da7ccca · outbound

This paper cites Image method for efficiently sim- ulating small-room acoustics,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Image method for efficiently sim- ulating small-room acoustics,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:23.769488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ae63205f-9054-4dfa-80e3-380adbee196c · outbound

This paper cites Lib- rispeech: An ASR corpus based on public domain audio books,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Lib- rispeech: An ASR corpus based on public domain audio books,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:23.620008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4ec123a4-3f92-4b5a-8a9d-90b5d2b83340 · outbound

This paper cites The design for the Wall Street Journal-based CSR corpus,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement The design for the Wall Street Journal-based CSR corpus,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:23.473263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6a8109cf-63ae-40b9-b1d7-a899b4ff5711 · outbound

This paper cites Assessment for automatic speech recognition II: NOISEX-92: A database and an experi- ment to study the effect of additive noise on speech recognition systems,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Assessment for automatic speech recognition II: NOISEX-92: A database and an experi- ment to study the effect of additive noise on speech recognition systems,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:23.240653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3e4e14e4-e1e9-456f-a9f6-2c57dc08c993 · outbound

This paper cites Inplace gated convolutional recurrent neu- ral network for dual-channel speech enhancement,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Inplace gated convolutional recurrent neu- ral network for dual-channel speech enhancement,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:23.083861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4879c702-c1b1-4d20-81ab-bca3919f553a · outbound

This paper cites Adam: A method for stochastic op- timization,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Adam: A method for stochastic op- timization,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:22.951869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 94cd677e-b2bf-4cb0-87a8-fe4e16dd56ed · outbound

This paper cites Complex ratio mask- ing for monaural speech separation,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Complex ratio mask- ing for monaural speech separation,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:22.742423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 959b07fd-6192-4c0c-afa0-b96f8f698852 · outbound

This paper cites An algorithm for predicting the intelligi- bility of speech masked by modulated noise maskers,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement An algorithm for predicting the intelligi- bility of speech masked by modulated noise maskers,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:22.494387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f5ceb20f-197f-442b-89b5-147e2d5b595c · outbound

This paper cites Perceptual eval- uation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs,.

ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Perceptual eval- uation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:22:22.248653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation 904e6dd9-bfda-489f-a788-ec1b736fbe4c · inbound