Paper Citation Record · LEDGER

SPMamba: State-space model is all you need in speech separation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2404.02063.

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

pith.paper-citation-record.v1
2404.02063 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:22:38.106623Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.489304Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8c5132fe-5fb9-4394-9f75-126bc15d70a1 · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba SPMamba: State-space model is all you need in speech separation

Reference 104

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:13:30.897180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation de0101b2-1c2c-4d29-ab60-49818c8f4ead · inbound

Deep Active Speech Cancellation with Mamba-Masking Network cites this paper.

Deep Active Speech Cancellation with Mamba-Masking Network SPMamba: State-space model is all you need in speech separation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-09T16:22:38.106623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 132855d6-1165-4f63-8963-1f9d292d60f5 · inbound

Active Speech Enhancement: Active Speech Denoising Decliping and Deveraberation cites this paper.

Active Speech Enhancement: Active Speech Denoising Decliping and Deveraberation SPMamba: State-space model is all you need in speech separation

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T14:59:22.650800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6a27d0f-83b0-47a4-b831-3b0e46ed4003 · inbound

SoloSpeech: Enhancing Intelligibility and Quality in Target Speech Extraction through a Cascaded Generative Pipeline cites this paper.

SoloSpeech: Enhancing Intelligibility and Quality in Target Speech Extraction through a Cascaded Generative Pipeline SPMamba: State-space model is all you need in speech separation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:07.370792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

An Exploration of Mamba for Speech Self-Supervised Models cites this paper.

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 2026-08-10T06:31:04.303077+00:00.

Observation 100526fc-2a2d-40f2-a4e1-ed08c42b5971 · inbound

ClearerVoice-Studio: Bridging Advanced Speech Processing Research and Practical Deployment cites this paper.

ClearerVoice-Studio: Bridging Advanced Speech Processing Research and Practical Deployment SPMamba: State-space model is all you need in speech separation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:24.519069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7775015-a327-4def-8d4b-21612c497fa1 · inbound

EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis cites this paper.

EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis SPMamba: State-space model is all you need in speech separation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T22:56:07.151729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a06e65c-62bc-4206-92a4-132a3b64c22b · inbound

Enhancing Stereo Sound Event Detection with BiMamba and Pretrained PSELDnet cites this paper.

Enhancing Stereo Sound Event Detection with BiMamba and Pretrained PSELDnet SPMamba: State-space model is all you need in speech separation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:57:10.562636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 501289c8-deb1-4a23-a57b-4017816f344a · inbound

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals cites this paper.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals SPMamba: State-space model is all you need in speech separation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T09:27:09.216413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afe4c10b-d82c-45c7-8910-36ee9f43912c · inbound

Asymmetric Encoder-Decoder Based on Time-Frequency Correlation for Speech Separation cites this paper.

Asymmetric Encoder-Decoder Based on Time-Frequency Correlation for Speech Separation SPMamba: State-space model is all you need in speech separation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:39:48.637256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d5f4684b-4c51-4ccb-bd79-ea7c8e2132ca · inbound

Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM cites this paper.

Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM SPMamba: State-space model is all you need in speech separation

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T08:06:47.865004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8bc432f0-664b-417a-921a-494b9dc31131 · inbound

State Space Models Meet Remote Sensing: A Survey cites this paper.

State Space Models Meet Remote Sensing: A Survey SPMamba: State-space model is all you need in speech separation

Reference 122

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:30:07.490809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6475748c-4a14-4d92-95fa-e1271f928b6c · inbound

TF-MossFormer: Integrating Convolution Gated Local-Global Attentions for Enhanced Time-Frequency Domain Monaural Speech Separation cites this paper.

TF-MossFormer: Integrating Convolution Gated Local-Global Attentions for Enhanced Time-Frequency Domain Monaural Speech Separation SPMamba: State-space model is all you need in speech separation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T08:25:44.312937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.