Paper Citation Record · LEDGER

An Exploration of Mamba for Speech Self-Supervised Models

As of 19 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2506.12606.

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

pith.paper-citation-record.v1
2506.12606 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T09:14:23.986764Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T16:22:07.001549Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T21:46:15.489876Z

Reference resolution

44 of 44 outbound references displayed

verified exact8
verified fuzzy36
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f424a9ab-e333-4a89-89b0-5eb53ffff89d · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

An Exploration of Mamba for Speech Self-Supervised Models Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.655242Z

Source-reported events for the cited work

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

Observation 5b03949f-76e9-44a3-a0c5-5100cc5a7742 · outbound

This paper cites MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking.

An Exploration of Mamba for Speech Self-Supervised Models MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.631965Z

Source-reported events for the cited work

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

Observation 5eeb0285-9a97-42d0-809a-edd8e7dc1429 · outbound

This paper cites Jamba: Hybrid Transformer-Mamba Language Models.

An Exploration of Mamba for Speech Self-Supervised Models Jamba: Hybrid Transformer-Mamba Language Models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.635636Z

Source-reported events for the cited work

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

Observation 5c29b323-2c6b-489e-9fb0-941c4e660d2e · outbound

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

An Exploration of Mamba for Speech Self-Supervised Models Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-19T09:17:14.254488Z

Source-reported events for the cited work

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

Observation 5480c8ad-cd3f-45dd-aeae-2255ef53ab99 · outbound

This paper cites Speech slytherin: Examining the performance and efficiency of mamba for speech separation, recognition, and synthesis.

An Exploration of Mamba for Speech Self-Supervised Models Speech slytherin: Examining the performance and efficiency of mamba for speech separation, recognition, and synthesis

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.628212Z

Source-reported events for the cited work

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

Observation 9b97412f-20b2-4203-a461-b1ee7d65fa37 · outbound

This paper cites Dual-path Mamba: Short and Long-term Bidirectional Selective Structured State Space Models for Speech Separation.

An Exploration of Mamba for Speech Self-Supervised Models Dual-path Mamba: Short and Long-term Bidirectional Selective Structured State Space Models for Speech Separation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.670482Z

Source-reported events for the cited work

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

Observation 0371e0f9-0957-4749-9661-2267dbeace1e · outbound

This paper cites Speech-Mamba: Long-Context Speech Recog- nition with Selective State Spaces Models.

An Exploration of Mamba for Speech Self-Supervised Models Speech-Mamba: Long-Context Speech Recog- nition with Selective State Spaces Models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.742881Z

Source-reported events for the cited work

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

Observation 8cc3e1fc-3fc3-4f61-8252-f5fb66fd66c2 · outbound

This paper cites SPMamba: State-space model is all you need in speech separation.

An Exploration of Mamba for Speech Self-Supervised Models SPMamba: State-space model is all you need in speech separation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:17:14.294989Z

Source-reported events for the cited work

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

Observation f1f37833-93df-4059-b0cc-913899fdac33 · outbound

This paper cites HuBERT: Self-supervised speech representation learning by masked prediction of hidden units.

An Exploration of Mamba for Speech Self-Supervised Models HuBERT: Self-supervised speech representation learning by masked prediction of hidden units

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.759286Z

Source-reported events for the cited work

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

Observation e99a844c-562b-4fc8-8c4f-7d0d87706270 · outbound

This paper cites Mamba in Speech: Towards an Alternative to Self-Attention.

An Exploration of Mamba for Speech Self-Supervised Models Mamba in Speech: Towards an Alternative to Self-Attention

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:17:14.288905Z

Source-reported events for the cited work

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

Observation eecddfcf-583d-4b3d-9909-49a9ace310fb · outbound

This paper cites Relations between two sets of variates.

An Exploration of Mamba for Speech Self-Supervised Models Relations between two sets of variates

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.774158Z

Source-reported events for the cited work

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

Observation 816519ec-c69c-4629-a9b4-d4ec77d54772 · outbound

This paper cites SUPERB: Speech Processing Universal PERformance Benchmark.

An Exploration of Mamba for Speech Self-Supervised Models SUPERB: Speech Processing Universal PERformance Benchmark

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.659459Z

Source-reported events for the cited work

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

Observation cee98c5b-a1e0-4453-be6e-cac36b8d7820 · outbound

This paper cites wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations.

An Exploration of Mamba for Speech Self-Supervised Models wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.643466Z

Source-reported events for the cited work

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

Observation 1bb5e881-b469-4d0e-b0f0-fb4d8215449b · outbound

This paper cites An Investigation of Incorporating Mamba For Speech Enhancement.

An Exploration of Mamba for Speech Self-Supervised Models An Investigation of Incorporating Mamba For Speech Enhancement

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.639374Z

Source-reported events for the cited work

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

Observation 82f852cf-ac10-4044-89f3-faca2b8f740c · outbound

This paper cites Mamba for Streaming ASR Combined with Unimodal Aggregation.

An Exploration of Mamba for Speech Self-Supervised Models Mamba for Streaming ASR Combined with Unimodal Aggregation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.647383Z

Source-reported events for the cited work

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

Observation ea121dea-62bc-44cb-a12f-c30af5731637 · outbound

This paper cites Rethinking Mamba in Speech Processing by Self-Supervised Models.

An Exploration of Mamba for Speech Self-Supervised Models Rethinking Mamba in Speech Processing by Self-Supervised Models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.651118Z

Source-reported events for the cited work

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

Observation 8b2f420b-3a42-4fbf-81cc-c300b460109b · outbound

This paper cites Audio Mamba: Selective State Spaces for Self- Supervised Audio Representations.

An Exploration of Mamba for Speech Self-Supervised Models Audio Mamba: Selective State Spaces for Self- Supervised Audio Representations

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.663014Z

Source-reported events for the cited work

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

Observation 36b8ad1c-690c-4b23-963e-45aa9583c529 · outbound

This paper cites Superb@ slt 2022: Challenge on generalization and efficiency of self-supervised speech representation learning.

An Exploration of Mamba for Speech Self-Supervised Models Superb@ slt 2022: Challenge on generalization and efficiency of self-supervised speech representation learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.769582Z

Source-reported events for the cited work

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

Observation 9500473b-58fc-42d1-8b99-523b99de3b82 · outbound

This paper cites Is Smaller Always Faster? Tradeoffs in Compressing Self-Supervised Speech Transformers.

An Exploration of Mamba for Speech Self-Supervised Models Is Smaller Always Faster? Tradeoffs in Compressing Self-Supervised Speech Transformers

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-23T01:24:11.529612Z

Source-reported events for the cited work

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

Observation f538a518-ec3f-41c2-a89e-d6b0f9552a1c · outbound

This paper cites TED-LIUM 3: Twice as much data and corpus repartition for experi- ments on speaker adaptation.

An Exploration of Mamba for Speech Self-Supervised Models TED-LIUM 3: Twice as much data and corpus repartition for experi- ments on speaker adaptation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.747621Z

Source-reported events for the cited work

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

Observation c0b7c5db-88f8-4541-a282-db6da309a436 · outbound

This paper cites On gener- ative spoken language modeling from raw audio.

An Exploration of Mamba for Speech Self-Supervised Models On gener- ative spoken language modeling from raw audio

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.733960Z

Source-reported events for the cited work

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

Observation daeaf476-bac1-4e13-af04-e655732b1892 · outbound

This paper cites Textually Pretrained Speech Language Models.

An Exploration of Mamba for Speech Self-Supervised Models Textually Pretrained Speech Language Models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.730097Z

Source-reported events for the cited work

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

Observation 0ddffa19-1352-46ff-b2f6-adf4f1bfdc26 · outbound

This paper cites On The Landscape of Spoken Language Models: A Comprehensive Survey.

An Exploration of Mamba for Speech Self-Supervised Models On The Landscape of Spoken Language Models: A Comprehensive Survey

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-19T09:17:14.267181Z

Source-reported events for the cited work

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

Observation ff4670ec-3110-42d1-a873-856cc67b65f2 · outbound

This paper cites Building a Taiwanese Mandarin Spoken Language Model: A First Attempt.

An Exploration of Mamba for Speech Self-Supervised Models Building a Taiwanese Mandarin Spoken Language Model: A First Attempt

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:17:14.276089Z

Source-reported events for the cited work

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

Observation 29dfd8ae-25fb-4689-998e-f25803d939bd · outbound

This paper cites Dynamic-SUPERB Phase-2: A Collaboratively Ex- panding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks.

An Exploration of Mamba for Speech Self-Supervised Models Dynamic-SUPERB Phase-2: A Collaboratively Ex- panding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.712593Z

Source-reported events for the cited work

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

Observation 49a0c977-947f-4312-a495-5dca35bc74e4 · outbound

This paper cites Layer-wise analysis of a self-supervised speech representation model.

An Exploration of Mamba for Speech Self-Supervised Models Layer-wise analysis of a self-supervised speech representation model

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.666631Z

Source-reported events for the cited work

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

Observation 9161b507-8222-4825-b721-ea305aea33cd · outbound

This paper cites DAISY: Data Adaptive Self- Supervised Early Exit for Speech Representation Models.

An Exploration of Mamba for Speech Self-Supervised Models DAISY: Data Adaptive Self- Supervised Early Exit for Speech Representation Models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.751975Z

Source-reported events for the cited work

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

Observation 5c474dcc-405c-4622-a1b1-0e6464bd3d3f · outbound

This paper cites What do self- supervised speech models know about words?.

An Exploration of Mamba for Speech Self-Supervised Models What do self- supervised speech models know about words?

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.716567Z

Source-reported events for the cited work

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

Observation 683849fe-c91e-4ccc-a4df-7274498c7a8e · outbound

This paper cites Property Neurons in Self-Supervised Speech Transformers.

An Exploration of Mamba for Speech Self-Supervised Models Property Neurons in Self-Supervised Speech Transformers

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.720658Z

Source-reported events for the cited work

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

Observation d0313ef1-5db8-4fd3-bd3d-61cd900ead47 · outbound

This paper cites MelHuBERT: A Simplified Hubert on Mel Spectrograms.

An Exploration of Mamba for Speech Self-Supervised Models MelHuBERT: A Simplified Hubert on Mel Spectrograms

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.708177Z

Source-reported events for the cited work

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

Observation a2a114d9-cada-4cd9-9561-6301a9b14ac6 · outbound

This paper cites Generalized end-to-end loss for speaker verification.

An Exploration of Mamba for Speech Self-Supervised Models Generalized end-to-end loss for speaker verification

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.724826Z

Source-reported events for the cited work

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

Observation 2e2daf8c-8c93-4ec9-b5b1-ea598e6c7cd6 · outbound

This paper cites Titanet: Neural model for speaker representation with 1d depth-wise separable convolutions and global context.

An Exploration of Mamba for Speech Self-Supervised Models Titanet: Neural model for speaker representation with 1d depth-wise separable convolutions and global context

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.738595Z

Source-reported events for the cited work

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

Observation 2174fa52-9df8-49a8-8460-34183b0b55b5 · outbound

This paper cites ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification.

An Exploration of Mamba for Speech Self-Supervised Models ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:17:14.261196Z

Source-reported events for the cited work

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

Observation b2b38881-561e-42c4-a509-13d6da057884 · outbound

This paper cites emotion2vec: Self-Supervised Pre-Training for Speech Emotion Repre- sentation.

An Exploration of Mamba for Speech Self-Supervised Models emotion2vec: Self-Supervised Pre-Training for Speech Emotion Repre- sentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.763593Z

Source-reported events for the cited work

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

Observation 7cfc88f7-5f54-4835-81f2-9992cdc4040a · outbound

This paper cites MiniSu- PEBR: Lightweight benchmark for self-supervised speech models.

An Exploration of Mamba for Speech Self-Supervised Models MiniSu- PEBR: Lightweight benchmark for self-supervised speech models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.704289Z

Source-reported events for the cited work

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

Observation 68af80ba-0743-49d7-91ca-d1307323ee72 · outbound

This paper cites ML- SUPERB: Multilingual Speech Universal PERformance Benchmark.

An Exploration of Mamba for Speech Self-Supervised Models ML- SUPERB: Multilingual Speech Universal PERformance Benchmark

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.689476Z

Source-reported events for the cited work

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

Observation eb230e87-06e0-4acb-abf7-375c622bac07 · outbound

This paper cites Findings of the 2023 ML-SUPERB challenge: Pre-training and evaluation over more languages and beyond.

An Exploration of Mamba for Speech Self-Supervised Models Findings of the 2023 ML-SUPERB challenge: Pre-training and evaluation over more languages and beyond

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.685720Z

Source-reported events for the cited work

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

Observation 006eab8f-774a-4fba-a1d9-f6091a340cf4 · outbound

This paper cites Multi-resolution Hu- BERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction.

An Exploration of Mamba for Speech Self-Supervised Models Multi-resolution Hu- BERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.693018Z

Source-reported events for the cited work

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

Observation c1df901f-6a9b-42a3-a92c-a890968978d9 · outbound

This paper cites Task- Agnostic Structured Pruning of Speech Representation Models.

An Exploration of Mamba for Speech Self-Supervised Models Task- Agnostic Structured Pruning of Speech Representation Models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.696930Z

Source-reported events for the cited work

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

Observation fe281e32-c847-4520-9570-5250e386113f · outbound

This paper cites Speech-FT: Merging Pre-trained And Fine-Tuned Speech Representation Models For Cross-Task Generalization.

An Exploration of Mamba for Speech Self-Supervised Models Speech-FT: Merging Pre-trained And Fine-Tuned Speech Representation Models For Cross-Task Generalization

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-19T09:17:14.282401Z

Source-reported events for the cited work

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

Observation 3491453f-5c13-4721-a53c-02700e85aa60 · outbound

This paper cites Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?.

An Exploration of Mamba for Speech Self-Supervised Models Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.674247Z

Source-reported events for the cited work

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

Observation ba8b37de-8fd1-4b06-ab55-6765351b0fd4 · outbound

This paper cites Towards a Unified Representation Evaluation Framework Beyond Downstream Tasks.

An Exploration of Mamba for Speech Self-Supervised Models Towards a Unified Representation Evaluation Framework Beyond Downstream Tasks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.677852Z

Source-reported events for the cited work

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

Observation a0706b73-fd7a-41b9-b3db-844d781c9e9c · outbound

This paper cites What Can an Accent Identifier Learn? Probing Phonetic and Prosodic Information in a Wav2vec2-based Accent Identification Model.

An Exploration of Mamba for Speech Self-Supervised Models What Can an Accent Identifier Learn? Probing Phonetic and Prosodic Information in a Wav2vec2-based Accent Identification Model

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.681904Z

Source-reported events for the cited work

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

Observation 52199b8a-a4bc-4203-b4ec-3525bfb97348 · outbound

This paper cites What Do Self-Supervised Vision Transformers Learn?.

An Exploration of Mamba for Speech Self-Supervised Models What Do Self-Supervised Vision Transformers Learn?

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T09:17:15.700569Z

Source-reported events for the cited work

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

Pith citing papers

Observation 4ff077a9-6024-43fc-893d-1013741a479f · inbound

Spiking and Event-driven Neuromorphic Mamba Models for Efficient Speech Recognition cites this paper.

Spiking and Event-driven Neuromorphic Mamba Models for Efficient Speech Recognition An Exploration of Mamba for Speech Self-Supervised Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-01T21:46:15.491266Z

Source-reported events for the cited work

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