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Paper Citation Record · LEDGER

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text

As of 8 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2607.26751.

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

pith.paper-citation-record.v1
2607.26751 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T22:12:37.901001Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T22:12:37.611085Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

57 of 57 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5c955817-7378-40d9-9e32-3bf9b7f28522 · outbound

This paper cites Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text

Reference 1

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Observation f4bb454c-d1e7-4d2e-bb46-769a6729eade · outbound

This paper cites General procedure Fig.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text General procedure Fig

Reference 2

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Observation 3dca98a3-c7c6-4e9c-b3a7-c6aca88672c9 · outbound

This paper cites Metrics.Phoneme Error Rate (PER) for the phonetic de- coder; Character Error Rate (CER) and Word Error Rate (WER) for the final text are used to evaluate the proposed systems.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Metrics.Phoneme Error Rate (PER) for the phonetic de- coder; Character Error Rate (CER) and Word Error Rate (WER) for the final text are used to evaluate the proposed systems

Reference 3

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Observation 63f60018-05e4-4555-8c0f-6585eaf5d7bb · outbound

This paper cites an unresolved cited work.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Unresolved cited work

Reference 4

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Observation e1cd5886-a9eb-4736-bfbf-c9db3e3041fb · outbound

This paper cites textual) with the decoder architecture (recurrent vs.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text textual) with the decoder architecture (recurrent vs

Reference 5

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Observation 33d2371d-be34-4b26-8992-fb7528aa85fa · outbound

This paper cites an unresolved cited work.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Unresolved cited work

Reference 6

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Observation 28ac1a7a-c397-4bb7-8b30-754e3c347751 · outbound

This paper cites These tools were not used to generate scientific con- tent, design the methodology, or interpret the results.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text These tools were not used to generate scientific con- tent, design the methodology, or interpret the results

Reference 7

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Observation fb7ab3ac-1910-4924-b82f-14353bbf6e3b · outbound

This paper cites The speech neuroprosthesis,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text The speech neuroprosthesis,

Reference 8

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Observation 3dcac53e-ac0c-4310-9bf1-bd7b78b55496 · outbound

This paper cites Brain-computer interfaces for communica- tion and control,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Brain-computer interfaces for communica- tion and control,

Reference 9

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Observation 2397e78a-dd56-4170-80af-913d7812bf6b · outbound

This paper cites Brain-computer interfaces for restoring communi- cation,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Brain-computer interfaces for restoring communi- cation,

Reference 10

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Observation 19efb598-adf6-4843-bf30-3154ff4ea24b · outbound

This paper cites Reach and grasp by people with tetraplegia using a neurally controlled robotic arm,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Reach and grasp by people with tetraplegia using a neurally controlled robotic arm,

Reference 11

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Observation c292eae4-109e-4458-b307-fa9279a007b1 · outbound

This paper cites High performance communication by people with paralysis using an intracortical brain-computer interface,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text High performance communication by people with paralysis using an intracortical brain-computer interface,

Reference 12

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-30T22:12:37.667730Z digest=sha256:38bff74ec72ce2282f2074430304ca511973a722134392c9165b2162c52625e4

Observation 9de1daea-08d1-4fc9-9b73-ca268a5c1887 · outbound

This paper cites Fully implanted brain-computer interface in a locked-in patient with ALS,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Fully implanted brain-computer interface in a locked-in patient with ALS,

Reference 13

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Source-reported events for the cited work

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Observation 0f3e7d16-d451-4cb2-bb71-d963ddce9b1a · outbound

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

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Semantic reconstruc- tion of continuous language from non-invasive brain recordings,

Reference 14

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Unavailable: canonical work link unavailable.

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Observation 57471663-ab94-4ef2-9291-48576bc316bb · outbound

This paper cites Decoding speech perception from non-invasive brain record- ings,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Decoding speech perception from non-invasive brain record- ings,

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3c22bccb-8e4c-4560-8349-0445bacce65c · outbound

This paper cites Brain-to-text: Decoding spoken phrases from phone representations in the brain,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Brain-to-text: Decoding spoken phrases from phone representations in the brain,

Reference 16

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no resolver link, observed 2026-07-30T22:12:37.687178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T22:12:37.687178Z digest=sha256:6182013186915dd13e71a955fbaa113cd30526fce9a9ebda2e21f1aa2ae562e2

Observation 1637908c-d87c-481d-a044-c6eb82c9cf3f · outbound

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

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Machine translation of cortical activity to text with an encoder–decoder framework,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8c23c359-482b-4eb3-a8cf-125ab43828ba · outbound

This paper cites Speech syn- thesis from neural decoding of spoken sentences,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Speech syn- thesis from neural decoding of spoken sentences,

Reference 18

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Observation 8c5820a5-7f69-4d00-aec6-137253f1395c · outbound

This paper cites Speech synthesis from ECoG using densely connected 3D convolutional neural networks,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Speech synthesis from ECoG using densely connected 3D convolutional neural networks,

Reference 19

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Observation 57c77cf6-0181-4ace-a029-c753ef7d9233 · outbound

This paper cites Decoding spectrotemporal features of overt and covert speech from the hu- man cortex,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Decoding spectrotemporal features of overt and covert speech from the hu- man cortex,

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fa83e449-f574-4e26-9d5a-6540769c3775 · outbound

This paper cites A high-performance speech neuroprosthesis,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text A high-performance speech neuroprosthesis,

Reference 21

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no resolver link, observed 2026-07-30T22:12:37.715661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 61fecbfc-c2f7-4c2b-80a6-3a99456cb16c · outbound

This paper cites An accurate and rapidly calibrating speech neuroprosthesis,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text An accurate and rapidly calibrating speech neuroprosthesis,

Reference 22

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Unavailable: canonical work link unavailable.

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Observation 59767688-c518-414f-a3b2-e52bb34fc8c9 · outbound

This paper cites The cortical organization of speech processing,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text The cortical organization of speech processing,

Reference 23

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Observation 4f8a0701-61e6-47bd-be79-74a3a8f62fc8 · outbound

This paper cites Neural reuse of action perception circuits for language, concepts and communication,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Neural reuse of action perception circuits for language, concepts and communication,

Reference 24

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Observation af60e617-9454-4a22-9ec1-0dc17f3193f8 · outbound

This paper cites Con- nectionist temporal classification: Labelling unsegmented se- quence data with recurrent neural networks,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Con- nectionist temporal classification: Labelling unsegmented se- quence data with recurrent neural networks,

Reference 25

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Observation 72cc4ccd-89e3-4021-b776-99140335bcf8 · outbound

This paper cites Brain-computer interfaces for speech communica- tion,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Brain-computer interfaces for speech communica- tion,

Reference 26

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Unavailable: canonical work link unavailable.

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Observation 4155e858-4fd9-4446-a1f4-713da0f52e0c · outbound

This paper cites High-performance brain-to-text communica- tion via handwriting,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text High-performance brain-to-text communica- tion via handwriting,

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9cc906f9-e167-4a6a-95fa-3f3f9c00c471 · outbound

This paper cites Neuropros- thesis for decoding speech in a paralyzed person with anarthria,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Neuropros- thesis for decoding speech in a paralyzed person with anarthria,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation af548bf4-6402-41eb-be80-7468a0620f59 · outbound

This paper cites A high-performance neuroprosthesis for speech decoding and avatar control,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text A high-performance neuroprosthesis for speech decoding and avatar control,

Reference 29

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Unavailable: canonical work link unavailable.

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Observation 6c10b279-5f17-40b6-8863-b6836578b11a · outbound

This paper cites Generalizable spelling using a speech neuroprosthesis in an individual with severe limb and vocal paralysis,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Generalizable spelling using a speech neuroprosthesis in an individual with severe limb and vocal paralysis,

Reference 30

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Observation d3a902ab-1017-4080-8a5d-43bea61e8c6e · outbound

This paper cites An instan- taneous voice-synthesis neuroprosthesis,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text An instan- taneous voice-synthesis neuroprosthesis,

Reference 31

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Observation 2b1e554c-9dfd-42fb-a8a5-88957b9c8f1b · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representa- tions,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text wav2vec 2.0: A framework for self-supervised learning of speech representa- tions,

Reference 32

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Observation 07e5a947-d709-4682-98ce-1d12518746be · outbound

This paper cites Robust speech recognition via large-scale weak su- pervision,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Robust speech recognition via large-scale weak su- pervision,

Reference 33

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Observation 463a0226-1e45-4947-a7ff-65bfd79f8130 · outbound

This paper cites Brain-to-Text Benchmark '24: Lessons Learned.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Brain-to-Text Benchmark '24: Lessons Learned

Reference 34

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Observation 667a45a8-5c15-4370-8cb1-3147b5892ce1 · outbound

This paper cites Brain-to-Text Decoding with Context-Aware Neural Representations and Large Language Models.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Brain-to-Text Decoding with Context-Aware Neural Representations and Large Language Models

Reference 35

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Observation 7cb8307d-5832-456b-af2e-ceff2a18da62 · outbound

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

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Mamba: Linear-Time Sequence Modeling with Selective State Spaces

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Observation 059e42c1-4511-4163-8e17-302335270480 · outbound

This paper cites Exploring the ca- pability of Mamba in speech applications,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Exploring the ca- pability of Mamba in speech applications,

Reference 37

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source=pdf_text observed=2026-07-30T22:12:37.794812Z digest=sha256:a707ef42de4eacf5b5cadefe6c193ffae306d48f56ded59e61de215fdd30991b

Observation 7e0659a8-9f84-429d-91da-4062c5fcf3bc · outbound

This paper cites Speech Slytherin: Examining the Performance and Efficiency of Mamba for Speech Separation, Recognition, and Synthesis.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Speech Slytherin: Examining the Performance and Efficiency of Mamba for Speech Separation, Recognition, and Synthesis

Reference 38

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source=pdf_text observed=2026-07-30T22:12:37.799675Z digest=sha256:770e10f6d39ecec8a0f7a9160b191d734dac9d8031377a295bf47d3b3ca50626

Observation 9614c3ca-12dd-48e3-a95c-0ded9d229945 · outbound

This paper cites ConMamba: A convolution-augmented Mamba encoder model for efficient end-to-end ASR systems,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text ConMamba: A convolution-augmented Mamba encoder model for efficient end-to-end ASR systems,

Reference 39

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source=pdf_text observed=2026-07-30T22:12:37.804778Z digest=sha256:d28b790094e284a472205dd53b359c5659c221450015712f636d73636ee32837

Observation f9c61377-40d6-498a-a645-9904a0291ad3 · outbound

This paper cites Assessing the performance and efficiency of Mamba ASR in low-resource scenarios,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Assessing the performance and efficiency of Mamba ASR in low-resource scenarios,

Reference 40

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source=pdf_text observed=2026-07-30T22:12:37.811263Z digest=sha256:a699cea9433f6fe965e09e553c313c5cc55f911429ef5503a2f235bad7892557

Observation 5a6cdfd2-6990-4262-b53a-7f282849d781 · outbound

This paper cites Attention is all you need,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Attention is all you need,

Reference 41

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source=pdf_text observed=2026-07-30T22:12:37.815947Z digest=sha256:6037710556b5380e9004d435579d9fadfe1465f6ac110e373f825ad365d24d01

Observation 2c08f053-942b-427d-b3b5-b2ba9ca985e7 · outbound

This paper cites Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,

Reference 42

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source=pdf_text observed=2026-07-30T22:12:37.820649Z digest=sha256:34e1883784d2d1a6dbf8fb25f76489bf57ca14c0a9c1bb40be93037f27079d57

Observation 63688f03-f437-4c74-856c-c844022a2627 · outbound

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

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Conformer: Convolution-augmented transformer for speech recognition,

Reference 43

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source=pdf_text observed=2026-07-30T22:12:37.825904Z digest=sha256:2b200d24f59116a515c21e51c2311ec1eeed063273f2972fc63bef5f2fe326ea

Observation 93cd9e7a-37e6-431b-b802-f055f86c4087 · outbound

This paper cites Efficient Conformer: Progressive downsampling and grouped attention for automatic speech recog- nition,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Efficient Conformer: Progressive downsampling and grouped attention for automatic speech recog- nition,

Reference 44

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source=pdf_text observed=2026-07-30T22:12:37.831020Z digest=sha256:e9eeb03c231101ac2609c734ea92a9f036e85a2f0180cf6e632b3f63b8faeea0

Observation 164149b5-4a41-45b5-a4f8-a8cfcfc20038 · outbound

This paper cites Branchformer: Parallel MLP-attention architectures to capture local and global context for speech recognition and understanding,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Branchformer: Parallel MLP-attention architectures to capture local and global context for speech recognition and understanding,

Reference 45

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source=pdf_text observed=2026-07-30T22:12:37.836149Z digest=sha256:cfae22e1284f3ce8dfef75f6073ffacd5354741bd98ef2b4c8d2b78d96cf9a1a

Observation 604e8644-d8ee-41c8-a469-b55b80be1213 · outbound

This paper cites End-to-End Intracortical Speech Decoding from Neural Activity.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text End-to-End Intracortical Speech Decoding from Neural Activity

Reference 46

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source=pdf_text observed=2026-07-30T22:12:37.841061Z digest=sha256:0d51bc9bfd17dc1129747bc85d2d2ea236f87e098774d60b4135c232fe50f2ff

Observation 87f18c61-e54f-4abb-96d4-40f3075202e0 · outbound

This paper cites Neural control of cursor trajectory and click by a human with tetraplegia 1000 days after implant of an intracorti- cal microelectrode array,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Neural control of cursor trajectory and click by a human with tetraplegia 1000 days after implant of an intracorti- cal microelectrode array,

Reference 47

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source=pdf_text observed=2026-07-30T22:12:37.846373Z digest=sha256:3d895084d3c0bd7ec2d8c89d4ceeba270f7fa84ff4f7e831dbb08d04579c9aa7

Observation ccea80f7-2942-4968-a870-20990269753f · outbound

This paper cites Neural manifolds for the control of movement,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Neural manifolds for the control of movement,

Reference 48

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source=pdf_text observed=2026-07-30T22:12:37.851364Z digest=sha256:0bb1a0e5dc2dff7a39b44fb3cef0aa3c28eebf8029f7ed52f46ea002cfc4fe09

Observation 36693e1f-8230-4599-9a62-75748437b48d · outbound

This paper cites Virtual typing by people with tetraplegia using a self-calibrating intracor- tical brain-computer interface,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Virtual typing by people with tetraplegia using a self-calibrating intracor- tical brain-computer interface,

Reference 49

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source=pdf_text observed=2026-07-30T22:12:37.855849Z digest=sha256:be47cc3f4444c141b0a3b77c4cab999da93c1a162d13b685586b785dd64d6dfc

Observation 6a2a613d-28c0-416a-8a0a-ac81f2e32824 · outbound

This paper cites Stabilization of a brain- computer interface via the alignment of low-dimensional spaces of neural activity,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Stabilization of a brain- computer interface via the alignment of low-dimensional spaces of neural activity,

Reference 50

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source=pdf_text observed=2026-07-30T22:12:37.860419Z digest=sha256:b4639f4009af74cc9d0f2738b3284112e87212d8969a9a9fe516d44ca3a73ec0

Observation b129461f-2d78-45eb-aef7-a7ae92df21dd · outbound

This paper cites SpecAugment: A simple data augmen- tation method for automatic speech recognition,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text SpecAugment: A simple data augmen- tation method for automatic speech recognition,

Reference 51

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source=pdf_text observed=2026-07-30T22:12:37.866437Z digest=sha256:f572c70e65adb0e90f402f42daece767ba45056e2e2e4a36d118b5f3c83f8605

Observation 6ab1d496-0943-48f3-9aa5-d7d659ae3419 · outbound

This paper cites Learning phrase rep- resentations using RNN encoder–decoder for statistical machine translation,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Learning phrase rep- resentations using RNN encoder–decoder for statistical machine translation,

Reference 52

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source=pdf_text observed=2026-07-30T22:12:37.872791Z digest=sha256:dd88a8b564414b93b9726ee713817648895257330f4a2b90a67f531e2ca73582

Observation 8518980f-1643-4455-be65-1583f19a15a1 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 53

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source=pdf_text observed=2026-07-30T22:12:37.878152Z digest=sha256:4c8528245f2c966613199ee43d7801411830af4f6234f2c8dc338c2786442155

Observation 10bc5de3-d576-4d2b-97b1-c39245e1d08b · outbound

This paper cites Language models are unsupervised multitask learn- ers,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Language models are unsupervised multitask learn- ers,

Reference 54

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source=pdf_text observed=2026-07-30T22:12:37.883320Z digest=sha256:72c0a33894933de7717b80434524564be638e9344141c1b001b967f7cc937250

Observation 0fd9e347-312d-461a-958f-af462dd9aa56 · outbound

This paper cites KenLM: Faster and smaller language model queries,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text KenLM: Faster and smaller language model queries,

Reference 55

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source=pdf_text observed=2026-07-30T22:12:37.891322Z digest=sha256:4d1d183dc76ea43bfb6ffe3b1db0dfaef4129b11d855e9ee61e8ebdcb5a7c059

Observation 5fcad91c-0b63-4cba-a3fc-3f3ea09810cc · outbound

This paper cites Individual comparisons by ranking methods,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Individual comparisons by ranking methods,

Reference 56

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source=pdf_text observed=2026-07-30T22:12:37.896547Z digest=sha256:36debcb23d2726e0c1ff9702f022e0040c7b9e23ae371cc62cebced78e8797aa

Observation b2c4659e-0a50-46f7-b6c9-5d9339132efd · outbound

This paper cites Dealing with the evaluation of supervised classification algorithms,.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Dealing with the evaluation of supervised classification algorithms,

Reference 57

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source=pdf_text observed=2026-07-30T22:12:37.901001Z digest=sha256:107278ec8f3b6dbb4eb25c55daf1270910d3ddd1e21aca1c92f8c8ff741aec3d

Pith citing papers

Observation 5c955817-7378-40d9-9e32-3bf9b7f28522 · inbound

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text cites this paper.

Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text

Reference 1

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