{"id":"https://openalex.org/W7161739866","doi":"https://doi.org/10.48550/arxiv.2605.18176","title":"MARS: Technical Report for the CASTLE Challenge at EgoVis 2026","display_name":"MARS: Technical Report for the CASTLE Challenge at EgoVis 2026","publication_year":2026,"publication_date":"2026-05-18","ids":{"openalex":"https://openalex.org/W7161739866","doi":"https://doi.org/10.48550/arxiv.2605.18176"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.18176","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18176","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.2605.18176","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136465121","display_name":"Haoyu Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Haoyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113067911","display_name":"Qiaohui Chu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chu, Qiaohui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110296061","display_name":"Yisen Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Yisen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136501195","display_name":"Meng Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Meng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136459730","display_name":"Weili Guan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guan, Weili","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136489841","display_name":"Yaowei Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yaowei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136462257","display_name":"Liqiang Nie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nie, Liqiang","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":0.9528999924659729,"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":0.9528999924659729,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.01600000075995922,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.0031999999191612005,"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/directory","display_name":"Directory","score":0.6211000084877014},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6175000071525574},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6101999878883362},{"id":"https://openalex.org/keywords/mars-exploration-program","display_name":"Mars Exploration Program","score":0.3986999988555908},{"id":"https://openalex.org/keywords/technical-report","display_name":"Technical report","score":0.3873000144958496},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.350600004196167}],"concepts":[{"id":"https://openalex.org/C2777683733","wikidata":"https://www.wikidata.org/wiki/Q201456","display_name":"Directory","level":2,"score":0.6211000084877014},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6175000071525574},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6101999878883362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42899999022483826},{"id":"https://openalex.org/C83260615","wikidata":"https://www.wikidata.org/wiki/Q6773121","display_name":"Mars Exploration Program","level":2,"score":0.3986999988555908},{"id":"https://openalex.org/C182449105","wikidata":"https://www.wikidata.org/wiki/Q3099732","display_name":"Technical report","level":2,"score":0.3873000144958496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3781000077724457},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.37540000677108765},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.350600004196167},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.3269999921321869},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.31060001254081726},{"id":"https://openalex.org/C3019144022","wikidata":"https://www.wikidata.org/wiki/Q4124998","display_name":"Questions and answers","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2718000113964081},{"id":"https://openalex.org/C98545295","wikidata":"https://www.wikidata.org/wiki/Q1193158","display_name":"Technical writing","level":3,"score":0.2599000036716461},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.18176","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18176","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.2605.18176","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18176","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":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5349760055541992}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"report":[1],"presents":[2],"MARS,":[3],"short":[4],"for":[5,14,138],"Multimodal":[6],"Agentic":[7],"Reasoning":[8],"with":[9],"Source":[10],"selection,":[11],"our":[12],"system":[13,192],"the":[15,28,70,89,135,186,197],"CASTLE":[16,29,39,91,126,199],"Challenge":[17,200],"at":[18,206],"EgoVis":[19],"2026.":[20],"Participants":[21],"must":[22],"answer":[23],"185":[24],"closed-form":[25],"questions":[26],"over":[27,42,77],"2024":[30],"dataset.":[31],"In":[32],"contrast":[33],"to":[34,94,131,167,181],"prior":[35],"single-video":[36],"egocentric":[37],"benchmarks,":[38],"requires":[40],"reasoning":[41],"four":[43,106],"days":[44],"of":[45],"activity,":[46],"15":[47],"synchronized":[48],"perspectives,":[49],"official":[50,90],"transcripts,":[51,104],"and":[52,64,103,105,112,121,149],"multiple":[53],"auxiliary":[54,59,107,151],"modalities,":[55],"including":[56],"personal":[57],"photos,":[58,111],"videos,":[60],"gaze,":[61,109],"thermal":[62,113],"imagery,":[63],"heartrate":[65],"measurements.":[66],"MARS":[67,86],"therefore":[68],"treats":[69],"task":[71],"as":[72,154],"an":[73,176],"agentic":[74],"evidence-selection":[75],"problem":[76],"multimodal":[78],"sources":[79],"rather":[80],"than":[81],"a":[82,160,171,182],"purely":[83],"text-only":[84],"pipeline.":[85],"first":[87],"follows":[88],"directory":[92],"organization":[93],"build":[95],"evidence":[96,145,187],"memories":[97],"from":[98],"two":[99],"primary":[100],"sources,":[101,108],"videos":[102,116,127],"heartrate,":[110],"imagery.":[114],"Long":[115],"are":[117,128,204],"converted":[118],"into":[119,134],"captions":[120],"DeepSeek-based":[122],"summaries":[123],"only":[124],"because":[125],"too":[129],"long":[130],"fit":[132],"directly":[133],"model":[136],"context":[137],"every":[139],"question;":[140],"this":[141],"step":[142],"compresses":[143],"temporal":[144],"while":[146],"keeping":[147],"photos":[148],"other":[150],"media":[152],"available":[153,205],"source-specific":[155],"evidence.":[156],"At":[157],"inference":[158],"time,":[159],"GPT-5.4":[161],"decision":[162],"agent":[163],"repeatedly":[164],"chooses":[165],"whether":[166],"continue":[168],"reasoning,":[169],"request":[170],"specific":[172],"missing":[173],"modality,":[174],"produce":[175],"answer,":[177],"or":[178],"fall":[179],"back":[180],"random":[183],"option":[184],"when":[185],"remains":[188],"insufficient.":[189],"The":[190],"resulting":[191],"achieved":[193],"second":[194],"place":[195],"on":[196],"final":[198],"leaderboard.":[201],"Our":[202],"codes":[203],"https://github.com/Hyu-Zhang/MARS.":[207]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-20T00:00:00"}