{"id":"https://openalex.org/W7160891384","doi":"https://doi.org/10.48550/arxiv.2605.09874","title":"EgoMemReason: A Memory-Driven Reasoning Benchmark for Long-Horizon Egocentric Video Understanding","display_name":"EgoMemReason: A Memory-Driven Reasoning Benchmark for Long-Horizon Egocentric Video Understanding","publication_year":2026,"publication_date":"2026-05-11","ids":{"openalex":"https://openalex.org/W7160891384","doi":"https://doi.org/10.48550/arxiv.2605.09874"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.09874","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09874","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.2605.09874","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135934009","display_name":"Ziyang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Ziyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135936766","display_name":"Yue Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059195621","display_name":"Shoubin Yu","orcid":"https://orcid.org/0009-0006-1670-0054"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Shoubin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135913761","display_name":"Ce Zhang","orcid":"https://orcid.org/0000-0001-5100-3584"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Ce","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135923519","display_name":"Zengqi Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Zengqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135935303","display_name":"Jaehong Yoon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yoon, Jaehong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135922156","display_name":"Hyunji Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Hyunji","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081800468","display_name":"Gedas Bertasius","orcid":"https://orcid.org/0000-0003-1800-4790"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bertasius, Gedas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135995444","display_name":"Mohit Bansal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bansal, Mohit","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.40540000796318054,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.40540000796318054,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.28540000319480896,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.06239999830722809,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6559000015258789},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.6180999875068665},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5493999719619751},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5282999873161316},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4578000009059906},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.44699999690055847},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.44600000977516174},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.43470001220703125},{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.4278999865055084},{"id":"https://openalex.org/keywords/mnemonic","display_name":"Mnemonic","score":0.3741999864578247}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.779699981212616},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6559000015258789},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.6180999875068665},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5493999719619751},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5282999873161316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5073000192642212},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4578000009059906},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.44699999690055847},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.44600000977516174},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.43470001220703125},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.4278999865055084},{"id":"https://openalex.org/C197792726","wikidata":"https://www.wikidata.org/wiki/Q191062","display_name":"Mnemonic","level":2,"score":0.3741999864578247},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.3698999881744385},{"id":"https://openalex.org/C178278151","wikidata":"https://www.wikidata.org/wiki/Q7936607","display_name":"Visual memory","level":3,"score":0.35569998621940613},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.35019999742507935},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.34529998898506165},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.34310001134872437},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.33550000190734863},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.31949999928474426},{"id":"https://openalex.org/C88576662","wikidata":"https://www.wikidata.org/wiki/Q18646","display_name":"Episodic memory","level":3,"score":0.3116999864578247},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2937999963760376},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.28780001401901245},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2858000099658966},{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.27070000767707825},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C111370547","wikidata":"https://www.wikidata.org/wiki/Q7451120","display_name":"Sensory cue","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.09874","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09874","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.2605.09874","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09874","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Next-generation":[0],"visual":[1,23],"assistants,":[2],"such":[3,71],"as":[4,72,218],"smart":[5],"glasses,":[6],"embodied":[7],"agents,":[8],"and":[9,55,69,121,128,136,159,174,188,214,241],"always-on":[10],"life-logging":[11],"systems,":[12],"must":[13,44],"reason":[14],"over":[15,47,146],"an":[16,164],"entire":[17],"day":[18],"or":[19,36,75,134],"more":[20],"of":[21,166,170,177],"continuous":[22],"experience.":[24],"In":[25],"ultra-long":[26],"video":[27,62,103,168],"settings,":[28],"relevant":[29],"information":[30,46],"is":[31],"sparsely":[32],"distributed":[33],"across":[34,85,123,155,186],"hours":[35,133,176],"days,":[37],"making":[38],"memory":[39,112,157,178,208,227],"a":[40,95,236],"fundamental":[41],"challenge:":[42],"models":[43],"accumulate":[45],"time,":[48],"recall":[49],"prior":[50],"states,":[51],"track":[52],"temporal":[53,222],"order,":[54],"abstract":[56],"recurring":[57,140],"patterns.":[58],"However,":[59],"existing":[60],"week-long":[61,101],"benchmarks":[63],"are":[64],"primarily":[65],"designed":[66],"for":[67,211,239],"perception":[68],"recognition,":[70],"moment":[73],"localization":[74],"global":[76],"summarization,":[77],"rather":[78],"than":[79],"reasoning":[80],"that":[81,98,192,205,215,225],"requires":[82],"integrating":[83],"evidence":[84,171,219],"multiple":[86],"days.":[87],"To":[88],"address":[89],"this":[90],"gap,":[91],"we":[92],"introduce":[93],"EgoMemReason,":[94],"comprehensive":[96],"benchmark":[97],"systematically":[99],"evaluates":[100,109],"egocentric":[102],"understanding":[104],"through":[105],"memory-driven":[106],"reasoning.":[107],"EgoMemReason":[108,151,182,234],"three":[110,156,207],"complementary":[111],"types:":[113],"entity":[114],"memory,":[115,126,138],"tracking":[116],"how":[117],"object":[118],"states":[119],"evolve":[120],"change":[122],"days;":[124,135],"event":[125],"recalling":[127],"ordering":[129],"activities":[130],"separated":[131],"by":[132],"behavior":[137],"abstracting":[139],"patterns":[141],"from":[142,230],"sparse,":[143],"repeated":[144],"observations":[145],"the":[147,194,206],"whole":[148],"week":[149],"period.":[150],"comprises":[152],"500":[153],"questions":[154],"types":[158,209],"six":[160],"core":[161],"challenges,":[162],"with":[163],"average":[165],"5.1":[167],"segments":[169],"per":[172],"question":[173],"25.9":[175],"backtracking.":[179],"We":[180,232],"evaluate":[181],"on":[183],"17":[184],"methods":[185],"MLLMs":[187],"agentic":[189],"frameworks,":[190],"revealing":[191,224],"even":[193],"best":[195],"model":[196],"achieves":[197],"only":[198],"39.6%":[199],"overall":[200],"accuracy.":[201],"Further":[202],"analysis":[203],"shows":[204],"fail":[210],"distinct":[212],"reasons":[213],"performance":[216],"degrades":[217],"spans":[220],"longer":[221],"horizons,":[223],"long-horizon":[226],"remains":[228],"far":[229],"solved.":[231],"believe":[233],"establishes":[235],"strong":[237],"foundation":[238],"evaluating":[240],"advancing":[242],"long-context,":[243],"memory-aware":[244],"multimodal":[245],"systems.":[246]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-13T00:00:00"}