{"id":"https://openalex.org/W7166523747","doi":"https://doi.org/10.48550/arxiv.2606.27922","title":"Reflect-R1: Evidence-Driven Reflection for Self-Correction in Long Video Understanding","display_name":"Reflect-R1: Evidence-Driven Reflection for Self-Correction in Long Video Understanding","publication_year":2026,"publication_date":"2026-06-26","ids":{"openalex":"https://openalex.org/W7166523747","doi":"https://doi.org/10.48550/arxiv.2606.27922"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.27922","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.27922","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.2606.27922","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138715205","display_name":"Shuimu Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Shuimu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016055053","display_name":"Yihan Chen","orcid":"https://orcid.org/0009-0006-4496-4364"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yuteng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072679873","display_name":"Yuanshen Guan","orcid":"https://orcid.org/0000-0003-3468-1417"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guan, Yuanshen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139596085","display_name":"Zebang Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Zebang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139599801","display_name":"Zeyu Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zeyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040230786","display_name":"Su\u2010Juan Qin","orcid":"https://orcid.org/0000-0002-6405-6711"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin, Shengqian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139552182","display_name":"Bin Xia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xia, Bin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016701642","display_name":"Jiaran Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jiaran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139610770","display_name":"Wenming Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Wenming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139610117","display_name":"Fei Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Fei","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":0.5346999764442444,"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":0.5346999764442444,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.15479999780654907,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.07010000199079514,"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/reflection","display_name":"Reflection (computer programming)","score":0.6496000289916992},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6326000094413757},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.6259999871253967},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6201000213623047},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.602400004863739},{"id":"https://openalex.org/keywords/rectification","display_name":"Rectification","score":0.4253000020980835},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.40630000829696655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7002999782562256},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.6496000289916992},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6326000094413757},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.6259999871253967},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6201000213623047},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.602400004863739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5705000162124634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4595000147819519},{"id":"https://openalex.org/C50942859","wikidata":"https://www.wikidata.org/wiki/Q4967193","display_name":"Rectification","level":3,"score":0.4253000020980835},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.40630000829696655},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3257000148296356},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.29649999737739563},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2728999853134155},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.27239999175071716},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2614000141620636}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.27922","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.27922","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.2606.27922","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.27922","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":0.7691463828086853,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Current":[0],"multimodal":[1],"reflection":[2,39],"mechanisms":[3],"for":[4,69],"long":[5,70],"video":[6,71],"understanding":[7],"predominantly":[8],"rely":[9],"on":[10,148],"closed-loop":[11],"self-reflection":[12],"within":[13],"internal":[14],"parameters.":[15],"Lacking":[16],"objective":[17,88,176],"external":[18],"evidence,":[19],"models":[20],"are":[21],"frequently":[22],"trapped":[23],"in":[24,175],"blind":[25],"confidence":[26],"and":[27,83,95,153,169],"often":[28],"fail":[29],"to":[30,37,91,101,140],"correct":[31],"errors.":[32],"Furthermore,":[33],"applying":[34],"reinforcement":[35,118],"learning":[36,119],"multi-stage":[38],"pipelines":[40],"introduces":[41],"severe":[42],"policy":[43,112],"coupling,":[44,113],"which":[45],"is":[46],"exacerbated":[47],"by":[48],"a":[49,76,116,135],"critical":[50],"scarcity":[51],"of":[52,80,137],"dedicated":[53],"training":[54,143],"data.":[55],"To":[56,110],"address":[57],"these":[58],"limitations,":[59],"this":[60],"work":[61],"proposes":[62],"Reflect-R1,":[63],"the":[64,107,142,165],"first":[65],"Evidence-Driven":[66],"self-correction":[67,172],"framework":[68,74],"understanding.":[72],"The":[73],"constructs":[75],"three-stage":[77],"pipeline":[78],"consisting":[79],"intuition,":[81],"verification,":[82],"arbitration.":[84],"By":[85],"dynamically":[86],"retrieving":[87],"visual":[89],"evidence":[90],"verify":[92],"initial":[93],"intuitions":[94],"autonomously":[96],"executing":[97],"multiple":[98],"temporal":[99],"searches":[100],"resolve":[102],"conflicts,":[103],"it":[104],"completely":[105],"breaks":[106],"hallucination":[108],"loop.":[109],"overcome":[111],"we":[114,133],"design":[115],"stage-decoupled":[117],"algorithm":[120],"named":[121],"SD-GRPO":[122],"that":[123,156],"independently":[124],"computes":[125],"advantage":[126],"functions":[127],"across":[128],"different":[129],"reasoning":[130],"stages.":[131],"Concurrently,":[132],"construct":[134],"dataset":[136],"120K":[138],"samples":[139],"bridge":[141],"data":[144],"gap.":[145],"Extensive":[146],"experiments":[147],"benchmarks":[149],"such":[150],"as":[151],"VideoMME":[152],"LongVideoBench":[154],"demonstrate":[155],"Reflect-R1":[157],"achieves":[158],"state-of-the-art":[159],"performance.":[160],"Our":[161],"method":[162],"significantly":[163],"improves":[164],"genuine":[166],"rectification":[167],"rate":[168],"enables":[170],"authentic":[171],"strictly":[173],"grounded":[174],"evidence.":[177]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-30T00:00:00"}