Paper Citation Record · LEDGER

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG

As of 21 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2501.10402.

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

pith.paper-citation-record.v1
2501.10402 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:26:08.295660Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:41:17.434186Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:41:18.676331Z

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy21
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 73dff977-5d74-49d8-8a9d-437811bb7783 · outbound

This paper cites Machine translation of cortical activity to text with an encoder–decoder framework,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Machine translation of cortical activity to text with an encoder–decoder framework,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:08.159912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e27408fd-77ad-4228-ac68-f91d8505ab6f · outbound

This paper cites Semantic reconstruction of continuous language from non-invasive brain recordings,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Semantic reconstruction of continuous language from non-invasive brain recordings,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.751952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e5833e64-2009-4572-88ee-652ec0caa3fc · outbound

This paper cites Msfnet: Multi-scale fusion network for brain-controlled speaker extraction,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Msfnet: Multi-scale fusion network for brain-controlled speaker extraction,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.737273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5d2b6c31-47b4-4684-a558-c60457c1729d · outbound

This paper cites Semantic reconstruction of continuous language from meg signals,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Semantic reconstruction of continuous language from meg signals,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.722327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fbbf94d9-5560-4c03-8c83-8aa0e3cd592a · outbound

This paper cites Unicorn: Unified cognitive signal reconstruction bridging cognitive signals and human language,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Unicorn: Unified cognitive signal reconstruction bridging cognitive signals and human language,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.707853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 11a30a64-daf2-4a00-b9d1-a9360ce2e350 · outbound

This paper cites De- coding speech perception from non-invasive brain recordings,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG De- coding speech perception from non-invasive brain recordings,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:08.183321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d797b85-4e5c-4f57-8863-7d65fcfaea56 · outbound

This paper cites Dewave: discrete eeg waves encoding for brain dynamics to text translation,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Dewave: discrete eeg waves encoding for brain dynamics to text translation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.684003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d20d835c-b0bb-4ce9-b4b1-bcbb1f675e2a · outbound

This paper cites Brain–computer interfaces for communication and control,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Brain–computer interfaces for communication and control,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.669893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 196bfd9e-cf1e-495b-9817-264e9363ed64 · outbound

This paper cites Brain-computer interface: appli- cations to speech decoding and synthesis to augment communication,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Brain-computer interface: appli- cations to speech decoding and synthesis to augment communication,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.655219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b7763f67-f488-47e5-b9aa-86d82e722825 · outbound

This paper cites Dgsd: Dynamical graph self-distillation for eeg-based auditory spatial attention detection,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Dgsd: Dynamical graph self-distillation for eeg-based auditory spatial attention detection,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:08.201285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b87829ec-1ad2-4228-b812-cd9a21f79446 · outbound

This paper cites Recognition of grammatical class of imagined words from eeg signals using convolutional neural network,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Recognition of grammatical class of imagined words from eeg signals using convolutional neural network,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.630769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f98c493e-cd51-4181-9616-0451b312db79 · outbound

This paper cites Dbpnet: Dual- branch parallel network with temporal-frequency fusion for auditory attention detection,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Dbpnet: Dual- branch parallel network with temporal-frequency fusion for auditory attention detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.615388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ca9c7d1e-f05b-4cf8-945b-34135b352705 · outbound

This paper cites DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:08.212898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 794b5a4a-4c50-4a54-9a86-c5b86561641e · outbound

This paper cites Eeg-based classification of imagined digits using a recurrent neural network,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Eeg-based classification of imagined digits using a recurrent neural network,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.599599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 357822af-d9cf-40ba-9466-45575b66487d · outbound

This paper cites Spec- tral analysis of eeg signals for automatic imagined speech recognition,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Spec- tral analysis of eeg signals for automatic imagined speech recognition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.585570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 490fbda4-a7c6-4221-83e9-548ab7518dd4 · outbound

This paper cites Decoding of the speech envelope from eeg using the vlaai deep neural network,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Decoding of the speech envelope from eeg using the vlaai deep neural network,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.570930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a5ec9de3-b369-47dd-990d-439212801efd · outbound

This paper cites Happyquokka system for icassp 2023 auditory eeg challenge,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Happyquokka system for icassp 2023 auditory eeg challenge,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.556234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 240c25e8-6373-4b23-ac71-0a3d76dc0c31 · outbound

This paper cites ConvConcatNet: a deep convolutional neural network to reconstruct mel spectrogram from the EEG.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG ConvConcatNet: a deep convolutional neural network to reconstruct mel spectrogram from the EEG

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:08.233554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 347802c4-a6f9-4de9-aee9-4ecef73bd0d3 · outbound

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

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:08.238099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42c0d2cd-81a8-437f-b055-66865c4f2f88 · outbound

This paper cites Attention is all you need,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Attention is all you need,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.541652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ec2da219-8931-44ab-bce3-efcf8661588e · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG U-net: Convolutional networks for biomedical image segmentation,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:08.247295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92622c45-f5b7-479a-8930-f4e8b4334003 · outbound

This paper cites Efficiently modeling long sequences with structured state spaces,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Efficiently modeling long sequences with structured state spaces,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.517766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9e11c77d-ed0b-4c8e-bd81-cc95ce07bd5d · outbound

This paper cites Beyond self-attention: External attention using two linear layers for visual tasks,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Beyond self-attention: External attention using two linear layers for visual tasks,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:08.256518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dd90509-8875-49ae-8a42-5a264a669328 · outbound

This paper cites Improving bilingual tts using language and phonology embedding with embedding strength modulator,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Improving bilingual tts using language and phonology embedding with embedding strength modulator,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.492183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0c14c4d1-91b5-4480-a42b-638051d0e716 · outbound

This paper cites Cross-subject eeg signal recognition using deep domain adaptation network,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Cross-subject eeg signal recognition using deep domain adaptation network,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.476011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ffc7b850-812a-40a7-b938-a9ba8e47dd9e · outbound

This paper cites It’s raw! audio generation with state-space models,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG It’s raw! audio generation with state-space models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.461725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 704f6dc8-aff8-4de6-9dd2-c0c3debdf87f · outbound

This paper cites Conformer: Convolution-augmented transformer for speech recognition,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Conformer: Convolution-augmented transformer for speech recognition,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.447323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 05da371e-4486-439d-bba6-2bbe1754866c · outbound

This paper cites A Survey of Mamba.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG A Survey of Mamba

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:08.277331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d40f496-fea3-480d-a57e-4385b763e264 · outbound

This paper cites Augmenting conformers with structured state-space sequence models for online speech recognition,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Augmenting conformers with structured state-space sequence models for online speech recognition,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.433152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e8c6fb41-91b5-47cb-816a-3113a1dc6801 · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Jamba: A Hybrid Transformer-Mamba Language Model

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:08.285948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce48b671-ca6c-45b9-9e42-0412d7cc3836 · outbound

This paper cites Zamba: A Compact 7B SSM Hybrid Model.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Zamba: A Compact 7B SSM Hybrid Model

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:08.290817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8a6d9cb-f2df-40e1-ab89-a5a1c9f5cd55 · outbound

This paper cites Sparrkulee: A speech-evoked auditory response repository of the ku leuven, containing eeg of 85 participants,.

SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG Sparrkulee: A speech-evoked auditory response repository of the ku leuven, containing eeg of 85 participants,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:26:08.418460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 4f0f9a8a-25dc-4d00-8d53-fc1c8fa15870 · inbound

DMF2Mel: A Dynamic Multiscale Fusion Network for EEG-Driven Mel Spectrogram Reconstruction cites this paper.

DMF2Mel: A Dynamic Multiscale Fusion Network for EEG-Driven Mel Spectrogram Reconstruction SSM2Mel: State Space Model to Reconstruct Mel Spectrogram from the EEG

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:41:18.688594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.