{"id":"https://openalex.org/W7165673059","doi":"https://doi.org/10.48550/arxiv.2606.22925","title":"EEG Benchmarking Needs a Task Specification Layer: NeuroDoc for Rulebook-Guided, Executable Benchmark Construction","display_name":"EEG Benchmarking Needs a Task Specification Layer: NeuroDoc for Rulebook-Guided, Executable Benchmark Construction","publication_year":2026,"publication_date":"2026-06-22","ids":{"openalex":"https://openalex.org/W7165673059","doi":"https://doi.org/10.48550/arxiv.2606.22925"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.22925","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.22925","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.22925","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000828711","display_name":"Chengxuan Qin","orcid":"https://orcid.org/0009-0009-8463-3457"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin, Chengxuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020592482","display_name":"Zhige Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zhige","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139164204","display_name":"Shu Peng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Shu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139214563","display_name":"Rui Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Rui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139213032","display_name":"Jiping Cui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cui, Jiping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136466952","display_name":"Y H Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong, Yikai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139212233","display_name":"Jun Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139159185","display_name":"Liu Peng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139141966","display_name":"Zhida Shang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shang, Zhida","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111335237","display_name":"Mingze Tang","orcid":"https://orcid.org/0009-0007-4194-9908"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Mingze","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025285243","display_name":"Kay Chen Tan","orcid":"https://orcid.org/0000-0002-6802-2463"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tan, Kay Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139155674","display_name":"Jibin Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Jibin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.7768999934196472,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.7768999934196472,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.03629999980330467,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10094","display_name":"Epilepsy research and treatment","score":0.026000000536441803,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.9122999906539917},{"id":"https://openalex.org/keywords/executable","display_name":"Executable","score":0.8906000256538391},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.858299970626831},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7473000288009644},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5683000087738037},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.41909998655319214}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.9122999906539917},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.8906000256538391},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.858299970626831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.766700029373169},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7473000288009644},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5683000087738037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4526999890804291},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.41909998655319214},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40849998593330383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3817000091075897},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3610999882221222},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.25440001487731934}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.22925","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.22925","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.22925","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.22925","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.6188908219337463,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Electroencephalography":[0],"(EEG)":[1],"foundation":[2,177],"models":[3],"increasingly":[4],"rely":[5],"on":[6,125],"multi-dataset":[7],"training":[8],"and":[9,36,49,59,111,128,138,142,155,186],"evaluation,":[10],"yet":[11],"public":[12,66],"EEG":[13,43,67,121,176,188],"datasets":[14,68],"still":[15],"lack":[16],"a":[17,46,73,80,90,119,170],"shared":[18,81,171],"task":[19,53,75,91,97,103,133],"specification":[20,76],"layer":[21,148],"that":[22],"can":[23,69,166],"turn":[24],"heterogeneous":[25,65],"recordings":[26],"into":[27],"reusable":[28],"benchmark":[29,87,122,164],"units.":[30],"Existing":[31],"standards":[32],"organize":[33],"files,":[34],"metadata,":[35],"provenance,":[37],"but":[38],"they":[39],"do":[40],"not":[41],"specify":[42],"tasks":[44],"under":[45],"common":[47],"language":[48,77],"rulebook,":[50],"leaving":[51],"critical":[52],"semantics":[54],"scattered":[55],"across":[56,174],"papers,":[57],"code,":[58],"manual":[60],"interpretation.":[61],"We":[62,158],"investigate":[63],"whether":[64,161],"be":[70,167],"standardized":[71],"through":[72],"structured":[74],"paired":[78],"with":[79,94,99,131],"rulebook.":[82],"Our":[83],"methodology":[84],"represents":[85],"each":[86],"entry":[88],"as":[89,144],"document":[92],"synchronized":[93],"an":[95],"executable":[96,187],"kernel,":[98],"the":[100,145,162],"rulebook":[101],"defining":[102],"fields,":[104],"evidence":[105,182],"requirements,":[106],"document-kernel":[107],"alignment,":[108],"review":[109],"states,":[110],"machine-checkable":[112],"constraints.":[113],"Using":[114],"this":[115],"methodology,":[116],"we":[117,139],"release":[118,156],"community-reviewed":[120],"corpus":[123],"centered":[124],"53":[126],"completed":[127],"reviewed":[129],"entries":[130],"245":[132],"definitions":[134],"spanning":[135],"diverse":[136],"paradigms,":[137],"introduce":[140],"NeuroDoc":[141],"NeuroAudit":[143],"operational":[146],"support":[147],"for":[149,183],"rulebook-guided":[150],"drafting,":[151],"upgrading,":[152],"review,":[153],"amendment,":[154],"management.":[157],"further":[159],"examine":[160],"resulting":[163],"units":[165],"instantiated":[168],"in":[169],"downstream":[172],"setting":[173],"four":[175],"model":[178],"backbones,":[179],"providing":[180],"execution-based":[181],"reusable,":[184],"auditable,":[185],"benchmarking":[189],"infrastructure.":[190]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-24T00:00:00"}