Paper Citation Record · LEDGER

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics

As of 9 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2505.20480.

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

pith.paper-citation-record.v1
2505.20480 v1

Coverage vector

measured 56 of 56 reference resolution

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One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:14:48.339898Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

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External citation measurements

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Outbound references

Observation 4f3e30dd-13ed-4596-808e-fc7f0c0a73ba · outbound

This paper cites Nine decades of electrocorticography: A comparison between epidural and subdural recordings.European Journal of Neuroscience, 57(8):1260–1288, 2023.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Nine decades of electrocorticography: A comparison between epidural and subdural recordings.European Journal of Neuroscience, 57(8):1260–1288, 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:07.458525Z

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Observation 9a77e3ca-4166-4b73-886b-32c18d6c4977 · outbound

This paper cites Oxford university press, 2006.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Oxford university press, 2006

Reference 2

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Observation 7507aedf-15e7-4024-b422-a47a5aeec2b9 · outbound

This paper cites Brainlm: A foundation model for brain activity recordings.bioRxiv, pages 2023–09, 2023.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Brainlm: A foundation model for brain activity recordings.bioRxiv, pages 2023–09, 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:07.277155Z

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Observation b8e7ffcc-90e3-4806-86cf-ebc01b03ae3b · outbound

This paper cites Micro-scale functional modules in the human temporal lobe.Nature communications, 13(1):6263, 2022.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Micro-scale functional modules in the human temporal lobe.Nature communications, 13(1):6263, 2022

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:07.080489Z

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Observation 6421d496-f8b6-4324-b85e-09ce43ff2a2f · outbound

This paper cites Population transformer: Learning population- level representations of neural activity.ArXiv, pages arXiv–2406, 2024.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Population transformer: Learning population- level representations of neural activity.ArXiv, pages arXiv–2406, 2024

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:06.892153Z

Source-reported events for the cited work

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Observation 8c67fd42-fd95-4ed1-b1b4-6673c55f02ff · outbound

This paper cites From similarity to superiority: Channel clustering for time series forecasting.Advances in Neural Information Processing Systems, 37:130635–130663, 2025.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics From similarity to superiority: Channel clustering for time series forecasting.Advances in Neural Information Processing Systems, 37:130635–130663, 2025

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:06.719866Z

Source-reported events for the cited work

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Observation 044d6ec1-fce4-4590-b0c3-f718939136a8 · outbound

This paper cites Neural mechanisms resolving exploitation-exploration dilemmas in the medial prefrontal cortex.Science, 369(6507):eabb0184, 2020.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Neural mechanisms resolving exploitation-exploration dilemmas in the medial prefrontal cortex.Science, 369(6507):eabb0184, 2020

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:06.548374Z

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Observation eb117c0a-606a-4f52-a4c7-ec9fafa15c8c · outbound

This paper cites Brain-jepa: Brain dynamics foundation model with gradient positioning and spatiotemporal masking.Advances in Neural Information Processing Systems, 37:86048–86073, 2024.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Brain-jepa: Brain dynamics foundation model with gradient positioning and spatiotemporal masking.Advances in Neural Information Processing Systems, 37:86048–86073, 2024

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:57.119957Z

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Observation f11b411f-4848-4c43-aa93-ec3c6506504e · outbound

This paper cites Plug-and-play stability for intracortical brain-computer interfaces: a one-year demonstration of seamless brain-to-text communication.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Plug-and-play stability for intracortical brain-computer interfaces: a one-year demonstration of seamless brain-to-text communication

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:06.329356Z

Source-reported events for the cited work

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Observation c3f61ce0-9324-4153-8995-4a28299f21c3 · outbound

This paper cites Acoustic inspired brain-to-sentence decoder for logosyllabic language.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Acoustic inspired brain-to-sentence decoder for logosyllabic language

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:06.142314Z

Source-reported events for the cited work

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Observation e24d73eb-eb7e-4ce2-80b6-19380dae219b · outbound

This paper cites Misa: Modality-invariant and-specific representations for multimodal sentiment analysis.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Misa: Modality-invariant and-specific representations for multimodal sentiment analysis

Reference 11

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Observation 122ddbee-35c6-41e1-8b87-5660f7449ed8 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Gaussian Error Linear Units (GELUs)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:57.315284Z

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Observation 636d7f17-aa78-413a-a4a0-ac992aa81387 · outbound

This paper cites beta-vae: Learning basic visual concepts with a constrained variational framework.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics beta-vae: Learning basic visual concepts with a constrained variational framework

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:57.384358Z

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Observation 00494243-3861-4655-aabf-c8fc7df3902a · outbound

This paper cites Disentanglement via latent quantization.Advances in Neural Information Processing Systems, 36:45463–45488, 2023.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Disentanglement via latent quantization.Advances in Neural Information Processing Systems, 36:45463–45488, 2023

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:05.987030Z

Source-reported events for the cited work

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Observation 6bfa927f-97f3-4b28-9e84-e49eb04aadab · outbound

This paper cites Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:57.640660Z

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Observation a615a14b-e8a0-4db8-bec9-c311df6dfd43 · outbound

This paper cites Crossgnn: Confronting noisy multivariate time series via cross interaction refine- ment.Advances in Neural Information Processing Systems, 36:46885–46902, 2023.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Crossgnn: Confronting noisy multivariate time series via cross interaction refine- ment.Advances in Neural Information Processing Systems, 36:46885–46902, 2023

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:57.738614Z

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Observation b7df9362-88ed-42b8-b562-8b4a870ce916 · outbound

This paper cites Product quantization for nearest neighbor search.IEEE transactions on pattern analysis and machine intelligence, 33(1):117–128, 2010.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Product quantization for nearest neighbor search.IEEE transactions on pattern analysis and machine intelligence, 33(1):117–128, 2010

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:57.831102Z

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Observation 534e6672-7400-4b89-9685-1a10100cb0fe · outbound

This paper cites Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:57.900903Z

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Observation c0d2b970-fef8-4555-bdf7-a9104962bdb7 · outbound

This paper cites A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:02:02.323332Z

Source-reported events for the cited work

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Observation 9c2bf0a4-1957-4e7d-b24a-0b5c58ad26dc · outbound

This paper cites Optimal referencing for stereo- electroencephalographic (seeg) recordings.NeuroImage, 183:327–335, 2018.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Optimal referencing for stereo- electroencephalographic (seeg) recordings.NeuroImage, 183:327–335, 2018

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:05.848336Z

Source-reported events for the cited work

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Observation f1b73bd5-54f8-419b-925b-89e847d90ecb · outbound

This paper cites Deep learning-powered electrical brain signals analysis: Advancing neurological diagnostics.arXiv preprint arXiv:2502.17213, 2025.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Deep learning-powered electrical brain signals analysis: Advancing neurological diagnostics.arXiv preprint arXiv:2502.17213, 2025

Reference 21

Resolution: verified exact; raw_fallback, observed 2026-08-07T14:02:02.188509Z

Source-reported events for the cited work

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Observation d3403707-e08d-4504-9f24-9073cebfd9a2 · outbound

This paper cites Reclaiming hand functions after complete spinal cord injury with epidural brain-computer interface.medRxiv, pages 2024–09, 2024.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Reclaiming hand functions after complete spinal cord injury with epidural brain-computer interface.medRxiv, pages 2024–09, 2024

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:05.703064Z

Source-reported events for the cited work

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Observation 15739851-c562-4a8c-9baf-3f2d2fad49df · outbound

This paper cites Challenging common assumptions in the unsupervised learning of disentangled representations.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Challenging common assumptions in the unsupervised learning of disentangled representations

Reference 23

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Observation 9a7e8bcd-5107-4e8f-9f59-0bf7e98fb48f · outbound

This paper cites Decoupled Weight Decay Regularization.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Decoupled Weight Decay Regularization

Reference 24

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Observation c924b69f-329e-436d-b40f-5001501293f2 · outbound

This paper cites Neural decoding from stereotactic eeg: accounting for electrode variability across subjects.Advances in Neural Information Processing Systems, 37:108600–108624, 2024.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Neural decoding from stereotactic eeg: accounting for electrode variability across subjects.Advances in Neural Information Processing Systems, 37:108600–108624, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:05.544037Z

Source-reported events for the cited work

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Observation a6d6abf9-a0a1-4fb8-b4b0-7e5d445aca3d · outbound

This paper cites A high- performance neuroprosthesis for speech decoding and avatar control.Nature, 620(7976):1037– 1046, 2023.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics A high- performance neuroprosthesis for speech decoding and avatar control.Nature, 620(7976):1037– 1046, 2023

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:05.399074Z

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Observation 7ee9f7dd-ecff-40dd-9555-11add22ba0c8 · outbound

This paper cites Neuroprosthesis for decoding speech in a paralyzed person with anarthria.New England Journal of Medicine, 385(3):217–227, 2021.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Neuroprosthesis for decoding speech in a paralyzed person with anarthria.New England Journal of Medicine, 385(3):217–227, 2021

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:05.232927Z

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Observation 1ec65511-695d-4de6-95d5-3f640925c05b · outbound

This paper cites Creimbo: Cross-regional ensemble interactions in multi-view brain observations.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Creimbo: Cross-regional ensemble interactions in multi-view brain observations

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:05.115054Z

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Observation c10ef428-9dd0-4436-affb-d2036e8dbc8e · outbound

This paper cites Sibblings: similarity-driven building-block inference using graphs across states.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Sibblings: similarity-driven building-block inference using graphs across states

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:04.976731Z

Source-reported events for the cited work

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Observation 8e4add8f-15e3-494a-ae53-c2c8efb21c19 · outbound

This paper cites Sampling representational plasticity of simple imagined movements across days enables long-term neuroprosthetic control.Cell, 188(5):1208–1225, 2025.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Sampling representational plasticity of simple imagined movements across days enables long-term neuroprosthetic control.Cell, 188(5):1208–1225, 2025

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:04.863121Z

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Observation 21bd33e9-cc02-478b-9dbd-ea54c088464d · outbound

This paper cites On spectral clustering: Analysis and an algorithm.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics On spectral clustering: Analysis and an algorithm

Reference 31

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Observation 6db0024a-527c-4c40-a788-efe6cc37d53d · outbound

This paper cites Hippocampal sharp-wave ripples linked to visual episodic recollection in humans.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Hippocampal sharp-wave ripples linked to visual episodic recollection in humans

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:04.691646Z

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Observation f3ec55a4-8cfe-45b5-9e44-9e25d650d31b · outbound

This paper cites Disentangling time series representations via contrastive independence-of-support on l-variational inference.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Disentangling time series representations via contrastive independence-of-support on l-variational inference

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:04.567151Z

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Observation 460fb6d1-91c2-489a-a0c4-5ce12da4558d · outbound

This paper cites Scikit- learn: Machine learning in python.the Journal of machine Learning research, 12:2825–2830, 2011.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Scikit- learn: Machine learning in python.the Journal of machine Learning research, 12:2825–2830, 2011

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:04.399404Z

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Observation 2c2cac5f-4701-438a-9f09-8cb1b62ac101 · outbound

This paper cites DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:59.353803Z

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Observation ac29882b-844f-4441-bca6-fb7f8b899df0 · outbound

This paper cites The speech neuroprosthesis.Nature Reviews Neuroscience, 25(7):473–492, 2024.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics The speech neuroprosthesis.Nature Reviews Neuroscience, 25(7):473–492, 2024

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:04.288539Z

Source-reported events for the cited work

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Observation cbfd4d25-13cc-43ff-a321-76f562614c49 · outbound

This paper cites Plug-and-play control of a brain–computer interface through neural map stabilization.Nature biotechnology, 39(3):326–335, 2021.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Plug-and-play control of a brain–computer interface through neural map stabilization.Nature biotechnology, 39(3):326–335, 2021

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:04.159237Z

Source-reported events for the cited work

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Observation 2320087f-bf04-4398-bc21-de7069032eac · outbound

This paper cites Eeg conformer: Convolu- tional transformer for eeg decoding and visualization.IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31:710–719, 2022.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Eeg conformer: Convolu- tional transformer for eeg decoding and visualization.IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31:710–719, 2022

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:59.627862Z

Source-reported events for the cited work

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Observation 10215e45-186c-41f1-8b3c-cf179bfa5924 · outbound

This paper cites Revealing vision-language integration in the brain with multimodal networks.ArXiv, pages arXiv–2406, 2024.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Revealing vision-language integration in the brain with multimodal networks.ArXiv, pages arXiv–2406, 2024

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:04.041490Z

Source-reported events for the cited work

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Observation ff2f45da-7e08-4f98-9607-0e802510fc87 · outbound

This paper cites Neural discrete representation learning.Advances in neural information processing systems, 30, 2017.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Neural discrete representation learning.Advances in neural information processing systems, 30, 2017

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:59.843950Z

Source-reported events for the cited work

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Observation 369b63d4-23ec-4d4a-9dd1-47fb305b9252 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:59.911753Z

Source-reported events for the cited work

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Observation c3bf7e7d-44b3-4dda-8bf8-11821535c803 · outbound

This paper cites BrainBERT: Self-supervised representation learning for intracranial recordings.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics BrainBERT: Self-supervised representation learning for intracranial recordings

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:00.019197Z

Source-reported events for the cited work

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Observation c6d6705e-7f5a-461e-8f1e-a21c52bb86ad · outbound

This paper cites Brain treebank: Large-scale intracranial recordings from naturalistic language stimuli.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Brain treebank: Large-scale intracranial recordings from naturalistic language stimuli

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:03.896821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a00967f7-bce7-40ef-b307-d3383efde7f7 · outbound

This paper cites Eegpt: Pretrained transformer for universal and reliable representation of eeg signals.Advances in Neural Information Processing Systems, 37:39249–39280, 2024.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Eegpt: Pretrained transformer for universal and reliable representation of eeg signals.Advances in Neural Information Processing Systems, 37:39249–39280, 2024

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:03.707007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 002856d3-dc68-48fc-a470-36a837266d52 · outbound

This paper cites Cbramod: A criss-cross brain foundation model for eeg decoding.arXiv preprint arXiv:2412.07236, 2024.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Cbramod: A criss-cross brain foundation model for eeg decoding.arXiv preprint arXiv:2412.07236, 2024

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:00.285379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a322ef99-241e-4243-b48a-64b192ac8a5d · outbound

This paper cites The chinese language.Scientific American, 228(2):50–63, 1973.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics The chinese language.Scientific American, 228(2):50–63, 1973

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:03.557517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 569bde27-460a-4e7e-8105-c80ad9476690 · outbound

This paper cites Disentangled representation learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Disentangled representation learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:03.333895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 72a930d4-7b09-4f0a-a573-55a203dd2adb · outbound

This paper cites Exploring behavior-relevant and disen- tangled neural dynamics with generative diffusion models.Advances in Neural Information Processing Systems, 37:34712–34736, 2024.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Exploring behavior-relevant and disen- tangled neural dynamics with generative diffusion models.Advances in Neural Information Processing Systems, 37:34712–34736, 2024

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:03.162052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d71efbfa-7b82-4dd8-9103-72f6d50014c2 · outbound

This paper cites A high-performance speech neuroprosthesis.Nature, 620(7976):1031–1036, 2023.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics A high-performance speech neuroprosthesis.Nature, 620(7976):1031–1036, 2023

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:00.649047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b541a11-aaae-4602-9bb5-2fe23cca3b45 · outbound

This paper cites CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:00.727325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd3bb82f-44c2-427a-8b23-e31cfb967bf9 · outbound

This paper cites Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:02:01.748127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 64dbae5c-60b7-41d7-a576-65eac0c27b1b · outbound

This paper cites Group normalization.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Group normalization

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:00.957225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdce73cc-cfec-4ce2-bdcb-44d4257afc8f · outbound

This paper cites Ppi: Pretraining brain signal model for patient-independent seizure detection.Advances in Neural Information Processing Systems, 36:69586–69604, 2023.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Ppi: Pretraining brain signal model for patient-independent seizure detection.Advances in Neural Information Processing Systems, 36:69586–69604, 2023

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:02.937512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a92e48db-51e4-4582-81e3-84b8fe8aa087 · outbound

This paper cites Brant: Foundation model for intracranial neural signal.Advances in Neural Information Processing Systems, 36:26304–26321, 2023.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Brant: Foundation model for intracranial neural signal.Advances in Neural Information Processing Systems, 36:26304–26321, 2023

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:02.744495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 891644c2-35a9-40fd-97fd-f6db644c3a56 · outbound

This paper cites Du-in: Discrete units-guided mask modeling for decoding speech from intracranial neural signals.Advances in Neural Information Processing Systems, 37:79996–80033, 2025.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics Du-in: Discrete units-guided mask modeling for decoding speech from intracranial neural signals.Advances in Neural Information Processing Systems, 37:79996–80033, 2025

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:02.517049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 96cb06ee-9bfd-44e6-8451-797d8697da60 · outbound

This paper cites -"), • 1 silence token (i.e.,.

BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics -"), • 1 silence token (i.e.,

Reference 56

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T14:02:01.527181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 27a35ab1-e5e4-4c92-8de7-3cedb8954bb4 · inbound

Large-Scale AI and Foundation Models for Neuroscience: A Comprehensive Review cites this paper.

Large-Scale AI and Foundation Models for Neuroscience: A Comprehensive Review BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-04T09:14:48.339898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.