{"id":"https://openalex.org/W7163217165","doi":"https://doi.org/10.48550/arxiv.2606.01113","title":"R^3: Composed Video Retrieval via Reasoning-Guided Recalling and Re-ranking","display_name":"R^3: Composed Video Retrieval via Reasoning-Guided Recalling and Re-ranking","publication_year":2026,"publication_date":"2026-05-31","ids":{"openalex":"https://openalex.org/W7163217165","doi":"https://doi.org/10.48550/arxiv.2606.01113"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.01113","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01113","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.2606.01113","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137683324","display_name":"Zixu Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Zixu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137630854","display_name":"Yupeng Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Yupeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137677633","display_name":"Zhiheng Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Zhiheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137692023","display_name":"Zhiwei Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zhiwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137630628","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":"last","author":{"id":"https://openalex.org/A5137623096","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":0.9643999934196472,"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":0.9643999934196472,"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/T11439","display_name":"Video Analysis and Summarization","score":0.017100000753998756,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.0044999998062849045,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.4896000027656555},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.46129998564720154},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4528999924659729},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.45239999890327454},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.43290001153945923},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4307999908924103},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.42570000886917114},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.38269999623298645},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.38199999928474426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8334000110626221},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.600600004196167},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.4896000027656555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4731999933719635},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.46129998564720154},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4528999924659729},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.45239999890327454},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.43290001153945923},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4307999908924103},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.42570000886917114},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.38269999623298645},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.38199999928474426},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.3725000023841858},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.3596999943256378},{"id":"https://openalex.org/C2983174267","wikidata":"https://www.wikidata.org/wiki/Q3775098","display_name":"Video retrieval","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C108803254","wikidata":"https://www.wikidata.org/wiki/Q857512","display_name":"Smacker video","level":4,"score":0.3537999987602234},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.34769999980926514},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.3276999890804291},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2888999879360199},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.26010000705718994},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.25850000977516174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.01113","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01113","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.2606.01113","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01113","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,118],"CoVR-R":[1],"challenge":[2],"evaluates":[3],"composed":[4,108,182],"video":[5,14,22,49,109,154,168],"retrieval,":[6],"where":[7],"a":[8,12,16,20,24,32,106,128,139,146,170,191],"system":[9],"must":[10],"retrieve":[11],"target":[13,153],"from":[15],"large":[17],"gallery":[18,99],"given":[19],"reference":[21],"and":[23,50,116,173],"textual":[25],"edit":[26,136],"instruction.":[27],"This":[28],"setting":[29],"is":[30,39,100,121,162,177],"not":[31],"standard":[33],"video-text":[34],"retrieval":[35,110,130,175],"problem:":[36],"the":[37,43,47,51,55,97,124,135,143,151,157,160,166,180,194,204],"query":[38,126,183],"defined":[40],"by":[41,54],"both":[42],"visual":[44],"evidence":[45],"in":[46,209],"source":[48,167],"transformation":[52],"implied":[53],"edit.":[56,158],"A":[57,83],"strong":[58],"embedding":[59],"model":[60,144],"can":[61,87],"provide":[62],"scalable":[63],"candidate":[64],"recall,":[65],"but":[66,93],"it":[67],"may":[68],"under-express":[69],"target-side":[70],"consequences":[71],"such":[72,89],"as":[73,138,169],"state":[74],"changes,":[75],"action":[76],"replacement,":[77],"object":[78],"preservation,":[79],"or":[80],"temporal":[81],"consistency.":[82],"pairwise":[84],"multimodal":[85],"reranker":[86],"verify":[88],"details":[90],"more":[91],"directly,":[92],"exhaustive":[94],"reranking":[95],"over":[96],"full":[98],"computationally":[101],"infeasible.":[102],"We":[103],"present":[104],"$\\mathbb{R}^3$,":[105],"zero-shot":[107],"pipeline":[111],"built":[112],"around":[113],"Reasoning-guided":[114],"Recalling":[115],"Reranking.":[117],"core":[119],"idea":[120],"to":[122],"turn":[123],"source-edit":[125],"into":[127],"reasoning-grounded":[129],"program":[131],"rather":[132],"than":[133],"treating":[134],"text":[137],"short":[140],"caption.":[141],"First,":[142],"generates":[145],"reasoning":[147],"trace":[148,161],"that":[149],"describes":[150],"expected":[152],"after":[155],"applying":[156],"Then":[159],"encoded":[163],"together":[164],"with":[165,179,197],"reasoning-augmented":[171],"query,":[172],"its":[174],"score":[176],"fused":[178],"base":[181],"through":[184],"an":[185],"agreement-gated":[186],"residual":[187],"rule.":[188],"At":[189],"last,":[190],"re-ranker":[192],"verifies":[193],"recalled":[195],"candidates":[196],"direct":[198],"source-candidate":[199],"comparison.":[200],"Experiments":[201],"have":[202],"demonstrated":[203],"effectiveness":[205],"of":[206],"our":[207],"method":[208],"addressing":[210],"this":[211],"challenge.":[212],"Codes":[213],"are":[214],"available":[215],"on":[216],"https://github.com/Lee-zixu/R-3.":[217]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-03T00:00:00"}
