{"id":"https://openalex.org/W7162309471","doi":"https://doi.org/10.48550/arxiv.2605.23242","title":"Cogniscope: A Synthetic Longitudinal Benchmark and Browser-Based Evaluation Framework for Early-Risk Cognitive AI Systems","display_name":"Cogniscope: A Synthetic Longitudinal Benchmark and Browser-Based Evaluation Framework for Early-Risk Cognitive AI Systems","publication_year":2026,"publication_date":"2026-05-22","ids":{"openalex":"https://openalex.org/W7162309471","doi":"https://doi.org/10.48550/arxiv.2605.23242"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.23242","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23242","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2605.23242","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041181391","display_name":"Mahfuza Farooque","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Farooque, Mahfuza","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121631165","display_name":"Ananya Drishti","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Drishti, Ananya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136963567","display_name":"Mukhil Muruganantham Prakaash","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prakaash, Mukhil Muruganantham","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136929097","display_name":"Uttkarsh Agarwal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Agarwal, Uttkarsh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136937712","display_name":"Zahra Abdul Basit","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Basit, Zahra Abdul","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136934640","display_name":"Asish Kondragunta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kondragunta, Asish","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/T11519","display_name":"Digital Mental Health Interventions","score":0.5946999788284302,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11519","display_name":"Digital Mental Health Interventions","score":0.5946999788284302,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.05460000038146973,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.04470000043511391,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7455000281333923},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.6858999729156494},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5608999729156494},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4142000079154968},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.33090001344680786},{"id":"https://openalex.org/keywords/telemetry","display_name":"Telemetry","score":0.3255999982357025},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.32420000433921814}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7455000281333923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6985999941825867},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.6858999729156494},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5608999729156494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5340999960899353},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5246000289916992},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4142000079154968},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3637000024318695},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.33090001344680786},{"id":"https://openalex.org/C183121708","wikidata":"https://www.wikidata.org/wiki/Q209867","display_name":"Telemetry","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.32420000433921814},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C3020672099","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Longitudinal data","level":2,"score":0.30480000376701355},{"id":"https://openalex.org/C83804111","wikidata":"https://www.wikidata.org/wiki/Q1063558","display_name":"Behavioral pattern","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C78639753","wikidata":"https://www.wikidata.org/wiki/Q3318160","display_name":"Behavioral modeling","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2703000009059906},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2646999955177307},{"id":"https://openalex.org/C5570062","wikidata":"https://www.wikidata.org/wiki/Q3919817","display_name":"Behavioural sciences","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.26159998774528503}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.23242","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23242","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.23242","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23242","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.49615079164505005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,111],"present":[1],"Cogniscope,":[2],"an":[3,92],"open":[4],"evaluation":[5,97,174],"framework":[6],"for":[7,56,132],"studying":[8],"longitudinal":[9,37,140],"early-risk":[10],"AI":[11],"systems":[12],"under":[13,138,159],"controlled":[14,160],"behavioral":[15,38,90,152],"drift,":[16],"sparse":[17],"observations,":[18],"delayed":[19],"evidence,":[20],"and":[21,46,62,99,108,120,172],"heterogeneous":[22],"progression":[23],"patterns.":[24],"Cogniscope":[25,114],"combines":[26],"two":[27],"complementary":[28],"components:":[29],"a":[30,47,53,82,117,129],"synthetic":[31,85],"simulation":[32],"engine":[33],"that":[34,113,150],"generates":[35],"privacy-preserving":[36],"traces":[39],"aligned":[40],"with":[41,144],"configurable":[42],"latent":[43],"risk":[44,157],"trajectories,":[45],"browser-based":[48],"data-collection":[49],"instrument":[50],"implemented":[51],"as":[52],"Chrome":[54],"extension":[55],"capturing":[57],"naturalistic":[58],"video":[59],"interaction":[60],"telemetry":[61],"micro-question":[63],"responses":[64],"during":[65],"YouTube":[66],"playback.":[67],"The":[68],"released":[69],"benchmark":[70],"includes":[71],"200,000":[72],"simulated":[73,156],"video-interaction":[74],"records":[75],"from":[76],"200":[77,80],"users":[78],"over":[79],"days,":[81],"504-session":[83],"schema-aligned":[84],"deployment":[86,143],"dataset":[87],"across":[88],"nine":[89],"profiles,":[91],"18-table":[93],"relational":[94],"schema,":[95],"baseline":[96],"scripts,":[98],"time-aware":[100],"metrics":[101],"including":[102],"Early":[103],"Risk":[104],"Detection":[105],"Error":[106],"(ERDE)":[107],"time-to-detection":[109],"(TTD).":[110],"emphasize":[112],"is":[115],"not":[116,122],"diagnostic":[118],"system":[119],"does":[121],"claim":[123],"clinical":[124],"validity.":[125],"Instead,":[126],"it":[127],"provides":[128],"reusable":[130],"testbed":[131],"evaluating":[133],"how":[134],"sequential":[135],"models":[136,171],"behave":[137],"known":[139],"challenges":[141],"before":[142],"real":[145],"human-subject":[146],"data.":[147],"Experiments":[148],"show":[149],"simple":[151],"coherence":[153],"signals":[154],"separate":[155],"states":[158],"priors,":[161],"while":[162],"rule-based":[163],"deployment-profile":[164],"classification":[165],"remains":[166],"challenging,":[167],"motivating":[168],"learned":[169],"temporal":[170],"robust":[173],"protocols.":[175]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-26T00:00:00"}