BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding | Paper Citation Record

Observation 816d8b38-56eb-448b-98b1-9047aecd0d25 · outbound

This paper cites All-night dynamics of the human sleep eeg.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding All-night dynamics of the human sleep eeg

Reference 1

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Observation 17e6faa5-abe9-462c-b864-b9b3a71d4ee4 · outbound

This paper cites Bci2000: a general-purpose brain-computer interface (bci) system.IEEE Transactions on biomedical engineering, 51(6):1034–1043, 2004.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Bci2000: a general-purpose brain-computer interface (bci) system.IEEE Transactions on biomedical engineering, 51(6):1034–1043, 2004

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:13.770257Z

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Observation c1f928d1-7f2a-49e4-aa26-a575d8de0ace · outbound

This paper cites Eeg dynamics in patients with alzheimer’s disease.Clinical neurophysiology, 115(7):1490–1505, 2004.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Eeg dynamics in patients with alzheimer’s disease.Clinical neurophysiology, 115(7):1490–1505, 2004

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:13.775577Z

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Observation 16d823bc-1814-4e0d-a962-333d858c863f · outbound

This paper cites Eeg and meg: relevance to neuroscience.Neuron, 80(5):1112–1128, 2013.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Eeg and meg: relevance to neuroscience.Neuron, 80(5):1112–1128, 2013

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:13.780522Z

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Observation 5612ff78-5f35-4276-a160-1c0f95355fa8 · outbound

This paper cites Cbramod: A criss-cross brain foundation model for eeg decoding.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Cbramod: A criss-cross brain foundation model for eeg decoding

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.805201Z

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Observation bc177bf2-22ba-4001-bb8b-996f20d65a3f · outbound

This paper cites Personalized sleep staging leveraging source-free unsupervised domain adaptation.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Personalized sleep staging leveraging source-free unsupervised domain adaptation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.790481Z

Source-reported events for the cited work

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Observation d7d50bee-563d-49dd-a696-9637d32ca160 · outbound

This paper cites Csbrain: A cross-scale spatiotemporal brain foundation model for eeg decoding.Advances in Neural Information Processing Systems, 38: 87150–87195, 2026.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Csbrain: A cross-scale spatiotemporal brain foundation model for eeg decoding.Advances in Neural Information Processing Systems, 38: 87150–87195, 2026

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.776360Z

Source-reported events for the cited work

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Observation 39e43c0f-ea9d-4f2e-9926-02fdf8b54cb1 · outbound

This paper cites Reve: A foundation model for eeg-adapting to any setup with large-scale pretraining on 25,000 subjects.Advances in Neural Information Processing Systems, 38:22541–22577, 2026.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Reve: A foundation model for eeg-adapting to any setup with large-scale pretraining on 25,000 subjects.Advances in Neural Information Processing Systems, 38:22541–22577, 2026

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.761263Z

Source-reported events for the cited work

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Observation 28d0be19-4885-444c-a51a-16b00bd24eba · outbound

This paper cites Committee report: publication guidelines and recommendations for studies using electroencephalography and magnetoen- cephalography.Psychophysiology, 51(1):1–21, 2014.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Committee report: publication guidelines and recommendations for studies using electroencephalography and magnetoen- cephalography.Psychophysiology, 51(1):1–21, 2014

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.746673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0fc83845-b4d5-4022-a554-f202b5fa4c3c · outbound

This paper cites A revised glossary of terms most commonly used by clinical electroencephalographers and updated proposal for the report format of the eeg findings.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding A revised glossary of terms most commonly used by clinical electroencephalographers and updated proposal for the report format of the eeg findings

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.733228Z

Source-reported events for the cited work

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Observation 9edd6654-b6c7-42e0-a925-98f34cd4430f · outbound

This paper cites Issues and recommendations from the ohbm cobidas meeg committee for reproducible eeg and meg research.Nature neuroscience, 23(12):1473–1483, 2020.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Issues and recommendations from the ohbm cobidas meeg committee for reproducible eeg and meg research.Nature neuroscience, 23(12):1473–1483, 2020

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.718955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 29f0455d-7181-4263-8651-5c289aef3e2a · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.704045Z

Source-reported events for the cited work

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Observation 97d14af7-851b-44cb-92a7-746c2499ac61 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding ReAct: Synergizing Reasoning and Acting in Language Models

Reference 13

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Source-reported events for the cited work

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Observation 2d2238f0-2482-4158-b169-8d64740c2cc2 · outbound

This paper cites Eeg agent: A unified framework for automated eeg analysis using large language models.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Eeg agent: A unified framework for automated eeg analysis using large language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.689284Z

Source-reported events for the cited work

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Observation 37765195-c751-45ac-a2b4-4be8c8c2a846 · outbound

This paper cites Eeg-ai: An agentic system for ai-assisted semi-automated eeg preprocessing and artifact removal.Journal of Neuroscience Methods, 432:110759, 2026.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Eeg-ai: An agentic system for ai-assisted semi-automated eeg preprocessing and artifact removal.Journal of Neuroscience Methods, 432:110759, 2026

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.674830Z

Source-reported events for the cited work

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Observation 089a0570-ac75-4247-b087-cbc71bc40be2 · outbound

This paper cites Neuroskill (tm): Proactive real-time agentic system capable of modeling human state of mind.arXiv preprint arXiv:2603.03212, 2026.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Neuroskill (tm): Proactive real-time agentic system capable of modeling human state of mind.arXiv preprint arXiv:2603.03212, 2026

Reference 16

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Observation 89c785ff-a296-4da2-8ad1-6ab980ba5013 · outbound

This paper cites Embracing trustworthy brain-agent collaboration as paradigm extension for intelligent assistive technologies.Advances in Neural Information Processing Systems, 38, 2026.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Embracing trustworthy brain-agent collaboration as paradigm extension for intelligent assistive technologies.Advances in Neural Information Processing Systems, 38, 2026

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.659920Z

Source-reported events for the cited work

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Observation 6f7aa1a7-dc60-4c5a-93d1-281a170b12b2 · outbound

This paper cites Sleeplm: Natural-language intelligence for human sleep.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Sleeplm: Natural-language intelligence for human sleep

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.643912Z

Source-reported events for the cited work

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Observation 73074a44-49fb-4183-bbac-ad8c62929283 · outbound

This paper cites NeuroWeaver: An Autonomous Evolutionary Agent for Exploring the Programmatic Space of EEG Analysis Pipelines.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding NeuroWeaver: An Autonomous Evolutionary Agent for Exploring the Programmatic Space of EEG Analysis Pipelines

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-08T00:26:14.957104Z

Source-reported events for the cited work

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Observation 4ebaca76-659e-4e5c-81b2-1bc7b27e3e3b · outbound

This paper cites BrainAgent: A Large Language Model-Driven Multi-Agent Framework for Autonomous Brain Signal Understanding.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding BrainAgent: A Large Language Model-Driven Multi-Agent Framework for Autonomous Brain Signal Understanding

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-08T00:26:14.934935Z

Source-reported events for the cited work

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Observation 88893e5c-506a-400b-b964-0a5550bb96a6 · outbound

This paper cites BrainPilot: Automating Brain Discovery with Agentic Research.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding BrainPilot: Automating Brain Discovery with Agentic Research

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Resolution: verified exact; local_arxiv, observed 2026-08-08T00:26:14.912648Z

Source-reported events for the cited work

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Observation 31623bae-8f65-4622-acb7-e2332e6025ff · outbound

This paper cites Neural Signals Generate Clinical Notes in the Wild.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Neural Signals Generate Clinical Notes in the Wild

Reference 22

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Source-reported events for the cited work

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Observation 99974829-7b08-42a6-8c67-febcc73b29ff · outbound

This paper cites Cerebragloss: Instruction-tuning a large vision-language model for fine-grained clinical eeg interpretation.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Cerebragloss: Instruction-tuning a large vision-language model for fine-grained clinical eeg interpretation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.629593Z

Source-reported events for the cited work

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Observation b1073e98-2c75-436d-85d9-978f64dff5f0 · outbound

This paper cites AdaBrain-Bench: Benchmarking Brain Foundation Models for Brain-Computer Interface Applications.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding AdaBrain-Bench: Benchmarking Brain Foundation Models for Brain-Computer Interface Applications

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Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:13.878754Z

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Observation 4229b633-0d6a-4245-8d4b-b1c9c532a681 · outbound

This paper cites Eeg-fm-bench: A comprehensive benchmark for the systematic evaluation of eeg foundation models.arXiv preprint arXiv:2508.17742, 2025.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Eeg-fm-bench: A comprehensive benchmark for the systematic evaluation of eeg foundation models.arXiv preprint arXiv:2508.17742, 2025

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:13.883562Z

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Observation eec08f0f-f920-42c8-be88-6f3d1f1996b6 · outbound

This paper cites Brain4fms: A benchmark of foundation models for electrical brain signal.arXiv preprint arXiv:2602.11558, 2026.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Brain4fms: A benchmark of foundation models for electrical brain signal.arXiv preprint arXiv:2602.11558, 2026

Reference 26

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Observation 72ca8ca3-30e7-4827-81e5-de88ee3ef263 · outbound

This paper cites OmniEEG-Bench: A Standardized Evaluation Benchmark for EEG Foundation Models.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding OmniEEG-Bench: A Standardized Evaluation Benchmark for EEG Foundation Models

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Resolution: verified exact; local_arxiv, observed 2026-08-08T00:26:14.706098Z

Source-reported events for the cited work

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Observation af96f0d7-08dc-4702-b9a4-1005d664f0ce · outbound

This paper cites NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces

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Resolution: verified exact; local_arxiv, observed 2026-08-08T00:26:14.687343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9017e49c-fd5a-43e1-b000-a641b9f74efa · outbound

This paper cites HEARTS: Benchmarking LLM Reasoning on Health Time Series.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding HEARTS: Benchmarking LLM Reasoning on Health Time Series

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:13.899810Z

Source-reported events for the cited work

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Observation c541ca52-bcd2-471e-add6-9b747d4d8771 · outbound

This paper cites Executable code actions elicit better llm agents.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Executable code actions elicit better llm agents

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:13.903866Z

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Observation 74e9b142-fe4d-4d6f-b95c-8e297633da14 · outbound

This paper cites EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces

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Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:13.907714Z

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Observation 4bb50783-86f7-45d3-8c68-e9a4e8e32bc6 · outbound

This paper cites Large brain model for learning generic representations with tremendous eeg data in bci.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Large brain model for learning generic representations with tremendous eeg data in bci

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.604843Z

Source-reported events for the cited work

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Observation 7b827906-b463-45f6-be8c-9062e4cc2e21 · outbound

This paper cites Brainomni: A brain foundation model for unified eeg and meg signals.Advances in Neural Information Processing Systems, 38:41179–41212, 2026.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Brainomni: A brain foundation model for unified eeg and meg signals.Advances in Neural Information Processing Systems, 38:41179–41212, 2026

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.590251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a24e20b1-578d-4d58-8f1e-1a4d13ccc204 · outbound

This paper cites Eegmamba: An eeg foundation model with mamba.Neural Networks, page 107816, 2025.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Eegmamba: An eeg foundation model with mamba.Neural Networks, page 107816, 2025

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Observation ef27d255-b9a1-4c10-af6f-7e5d5a2cbb6f · outbound

This paper cites Deeper- brain: A neuro-grounded eeg foundation model towards universal bci.arXiv preprint arXiv:2601.06134, 2026.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Deeper- brain: A neuro-grounded eeg foundation model towards universal bci.arXiv preprint arXiv:2601.06134, 2026

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Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:13.926673Z

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Unavailable: canonical work link unavailable.

Observation b3369426-6c18-4b31-85c6-1e0f4445d6b4 · outbound

This paper cites EEG-FM-Audit: A Systematic Evaluation and Analysis Pipeline for EEG Foundation Models.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding EEG-FM-Audit: A Systematic Evaluation and Analysis Pipeline for EEG Foundation Models

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Resolution: verified exact; local_arxiv, observed 2026-08-08T00:26:14.563961Z

Source-reported events for the cited work

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Observation 0fd9655d-19c9-4770-b1f0-0ab474ddada5 · outbound

This paper cites Eeg-bench: A benchmark for eeg foundation models in clinical applications.arXiv preprint arXiv:2512.08959, 2025.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Eeg-bench: A benchmark for eeg foundation models in clinical applications.arXiv preprint arXiv:2512.08959, 2025

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Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:13.936194Z

Source-reported events for the cited work

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Observation 97e2e038-8405-498c-8c81-a2a6489af785 · outbound

This paper cites NeuralBench: A Unifying Framework to Benchmark NeuroAI Models.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding NeuralBench: A Unifying Framework to Benchmark NeuroAI Models

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Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:13.941170Z

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Observation 27bed8df-d12b-4272-8af4-7177e761ce6e · outbound

This paper cites CLEF: EEG Foundation Model for Learning Clinical Semantics.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding CLEF: EEG Foundation Model for Learning Clinical Semantics

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Resolution: verified exact; local_arxiv, observed 2026-08-08T00:26:14.457438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 136d4e55-7284-4672-abfc-fc4e4070d5a2 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36:8634–8652, 2023.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36:8634–8652, 2023

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Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:13.951017Z

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Observation 7569f05b-d2c3-473a-8a7c-95fe1861aa1a · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.Advances in Neural Information Processing Systems, 36: 68539–68551, 2023.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Toolformer: Language models can teach themselves to use tools.Advances in Neural Information Processing Systems, 36: 68539–68551, 2023

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Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:13.955785Z

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Observation a276cb93-dfd4-49ac-ad34-2003aae1d90b · outbound

This paper cites Neurochat: A neuroadaptive ai chatbot for customizing learning experiences.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Neurochat: A neuroadaptive ai chatbot for customizing learning experiences

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.547670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 77a80917-8f5f-4fe0-a357-5238307fbd39 · outbound

This paper cites Chatbci: A p300 speller bci leveraging large language models for improved sentence composition in realistic scenarios.arXiv preprint arXiv:2411.15395, 2024.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Chatbci: A p300 speller bci leveraging large language models for improved sentence composition in realistic scenarios.arXiv preprint arXiv:2411.15395, 2024

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Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:13.965249Z

Source-reported events for the cited work

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Observation c9dd6aa1-a460-4276-af10-af4e3dafeb23 · outbound

This paper cites Isruc-sleep: A comprehensive public dataset for sleep researchers.Computer methods and programs in biomedicine, 124:180–192, 2016.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Isruc-sleep: A comprehensive public dataset for sleep researchers.Computer methods and programs in biomedicine, 124:180–192, 2016

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.533432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3e07ee7f-8992-4397-9422-15ae8d71c7a8 · outbound

This paper cites 2020 international brain–computer interface competition: A review.Frontiers in human neuroscience, 16:898300, 2022.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding 2020 international brain–computer interface competition: A review.Frontiers in human neuroscience, 16:898300, 2022

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.517958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6afb36c0-b40e-4edf-9677-95139e729d9d · outbound

This paper cites an unresolved cited work.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:13.979978Z

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Observation 7b97f762-8ab7-48c0-8656-bf0a278a6dc4 · outbound

This paper cites Electroencephalogram (eeg)-based computer-aided technique to diagnose major depressive disorder (mdd).Biomedical Signal Processing and Control, 31: 108–115, 2017.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Electroencephalogram (eeg)-based computer-aided technique to diagnose major depressive disorder (mdd).Biomedical Signal Processing and Control, 31: 108–115, 2017

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.494269Z

Source-reported events for the cited work

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Observation af7eabe8-006f-4328-a16d-1500ec044b8b · outbound

This paper cites Electroencephalograms during mental arithmetic task performance.Data, 4 (1):14, 2019.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Electroencephalograms during mental arithmetic task performance.Data, 4 (1):14, 2019

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.478299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ca91562c-fe89-4d6a-bc61-185dd4e56989 · outbound

This paper cites Inter-database validation of a deep learning approach for automatic sleep scoring.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Inter-database validation of a deep learning approach for automatic sleep scoring

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-08T00:26:14.366162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 142b4c3d-7f35-4d4f-a78d-be536298d5f6 · outbound

This paper cites Montreal archive of sleep studies: an open-access resource for instrument benchmarking and exploratory research.Journal of sleep research, 23(6):628–635, 2014.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Montreal archive of sleep studies: an open-access resource for instrument benchmarking and exploratory research.Journal of sleep research, 23(6):628–635, 2014

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.463127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fff04918-12d0-4803-b6a9-2d5a87a14937 · outbound

This paper cites You snooze, you win: the physionet/computing in cardiology challenge 2018.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding You snooze, you win: the physionet/computing in cardiology challenge 2018

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.447734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation abfe3cef-77fa-4eab-b43d-e6d8bd0f1298 · outbound

This paper cites The sleep heart health study: design, rationale, and methods.Sleep, 20(12):1077–1085, 1997.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding The sleep heart health study: design, rationale, and methods.Sleep, 20(12):1077–1085, 1997

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.433598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1a158fb6-7339-4ebe-bd26-63ee0213f62a · outbound

This paper cites A large finer-grained affective computing eeg dataset.Scientific Data, 10(1):740, 2023.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding A large finer-grained affective computing eeg dataset.Scientific Data, 10(1):740, 2023

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.419869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b25f805a-469d-477a-942a-44301d8ccac5 · outbound

This paper cites Refed: a subject real-time dynamic labeled eeg-fnirs synchronized recorded emotion dataset.Advances in Neural Information Processing Systems, 38, 2026.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Refed: a subject real-time dynamic labeled eeg-fnirs synchronized recorded emotion dataset.Advances in Neural Information Processing Systems, 38, 2026

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.404881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 330e781b-16dd-4f50-b133-42e02fa17fa8 · outbound

This paper cites Open multi-session and multi-task eeg cognitive dataset for passive brain- computer interface applications.Scientific Data, 10(1):85, 2023.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Open multi-session and multi-task eeg cognitive dataset for passive brain- computer interface applications.Scientific Data, 10(1):85, 2023

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:14.020615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc4783a2-35fd-4e2c-9afe-a3177302053c · outbound

This paper cites Multimodal phenotyping dataset of driving fatigue.Scientific Data, 2026.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Multimodal phenotyping dataset of driving fatigue.Scientific Data, 2026

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.381338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 61673f97-fad3-4226-9c27-b5e74c2b76ab · outbound

This paper cites Seed-vii: A multimodal dataset of six basic emotions with continuous labels for emotion recognition.IEEE Transactions on Affective Computing, 16(2):969–985, 2024.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Seed-vii: A multimodal dataset of six basic emotions with continuous labels for emotion recognition.IEEE Transactions on Affective Computing, 16(2):969–985, 2024

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.366950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 50b79ad1-b083-411e-869b-b4eadd71eb04 · outbound

This paper cites Deap: A database for emotion analysis; using physiological signals.IEEE transactions on affective computing, 3(1): 18–31, 2011.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Deap: A database for emotion analysis; using physiological signals.IEEE transactions on affective computing, 3(1): 18–31, 2011

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.353262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c8e631c0-a628-4d0e-ba57-25ca25ccea77 · outbound

This paper cites Simultaneous acquisition of eeg and nirs during cognitive tasks for an open access dataset.Scientific data, 5(1):180003, 2018.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Simultaneous acquisition of eeg and nirs during cognitive tasks for an open access dataset.Scientific data, 5(1):180003, 2018

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.339381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 18156f1f-3be6-4e64-b2c7-64b72eac4532 · outbound

This paper cites A Multimodal Approach to Estimating Vigilance Using EEG and Forehead EOG.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding A Multimodal Approach to Estimating Vigilance Using EEG and Forehead EOG

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-08T00:26:14.342674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fe0fca18-d9f7-453e-b8a3-857dc2165df7 · outbound

This paper cites Qwen3.5: Towards native multimodal agents.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Qwen3.5: Towards native multimodal agents

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.325475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fb09b842-9141-40b0-b8cd-d4e2b4887532 · outbound

This paper cites Qwen3.7: The agent frontier.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Qwen3.7: The agent frontier

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.310678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d1716683-1ca7-437b-ad99-4f1b8b582b1e · outbound

This paper cites Qwen3.7-Plus: Multimodal agent intelligence.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Qwen3.7-Plus: Multimodal agent intelligence

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.296035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ac9de581-dba1-41a0-9f4d-2b9b79fbfa2a · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding GLM-5: from Vibe Coding to Agentic Engineering

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:14.058184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb88c0f5-fa6a-49a0-821b-030c72aa2dd9 · outbound

This paper cites Deepseek-v4: Towards highly efficient million-token context intelligence.arXiv preprint arXiv:2606.19348, 2026.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Deepseek-v4: Towards highly efficient million-token context intelligence.arXiv preprint arXiv:2606.19348, 2026

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:14.062822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b9ffc50-0035-4071-9dfb-888f7a152e9f · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Kimi K2.5: Visual Agentic Intelligence

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:14.067265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e36f773f-df03-4721-b381-39e6aa024851 · outbound

This paper cites The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:14.072135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb046c7b-3813-4ad1-86f7-674fc4d64fee · outbound

This paper cites GPT-5.6 system card.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding GPT-5.6 system card

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.281325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a8f90ed6-1343-451b-b4cf-6cdfef82d623 · outbound

This paper cites Gemini 3.6 Flash model card.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Gemini 3.6 Flash model card

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.266636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 90126625-1306-4782-9474-b25363f62a4b · outbound

This paper cites meta_info.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding meta_info

Reference 70

Resolution: malformed identifier; raw_fallback, observed 2026-08-08T00:26:15.250519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 34bc6619-b9a3-4ddf-ae97-81777eb55fcc · outbound

This paper cites an unresolved cited work.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Unresolved cited work

Reference 71

Resolution: parse uncertain; raw_fallback, observed 2026-08-08T00:26:15.235722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation be081ae1-8825-4eb2-9618-04e3adf1dad1 · outbound

This paper cites an unresolved cited work.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Unresolved cited work

Reference 72

Resolution: parse uncertain; raw_fallback, observed 2026-08-08T00:26:15.221983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e71497de-f3cb-433a-b2c0-dc94fc461552 · outbound

This paper cites an unresolved cited work.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Unresolved cited work

Reference 73

Resolution: parse uncertain; raw_fallback, observed 2026-08-08T00:26:15.208945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cf30d194-64fa-41e8-a449-4866d180de0e · outbound

This paper cites an unresolved cited work.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Unresolved cited work

Reference 74

Resolution: parse uncertain; raw_fallback, observed 2026-08-08T00:26:15.194880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5998b280-9e01-41d2-a093-fd33e4f1a48d · outbound

This paper cites an unresolved cited work.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-08T00:26:15.180337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 09ae450c-a1e6-4ca3-ad46-3543ce2b23a6 · outbound

This paper cites an unresolved cited work.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Unresolved cited work

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-08T00:26:14.115478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39b0b6e1-de74-45ab-8335-8ba310b2a488 · outbound

This paper cites an unresolved cited work.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-08T00:26:15.155538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b9fa5b13-a04c-409d-8512-3d5d0c92b0a1 · outbound

This paper cites an unresolved cited work.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-08T00:26:15.140331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 37454edd-f8c9-441b-9e26-2f23941ce918 · outbound

This paper cites delta_global_mean_plv.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding delta_global_mean_plv

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.123993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b27704a5-18ec-4346-8952-887cefd92e23 · outbound

This paper cites an unresolved cited work.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-08T00:26:15.108974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cbdbaf90-11a1-4ac2-bad0-dd994ab6ed59 · outbound

This paper cites dominant_synchronization_band.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding dominant_synchronization_band

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.093983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a94e6227-e153-420a-983f-fd20de6ed490 · outbound

This paper cites The code will run in a persistent Python kernel and the output will be returned as an Observation.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding The code will run in a persistent Python kernel and the output will be returned as an Observation

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.077547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f931bc04-0678-4361-b0dd-11c5e8487211 · outbound

This paper cites input/HR.npy.

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding input/HR.npy

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:26:15.061892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers