{"id":"https://openalex.org/W7147697607","doi":"https://doi.org/10.48550/arxiv.2603.27866","title":"Wan-R1: Verifiable-Reinforcement Learning for Video Reasoning","display_name":"Wan-R1: Verifiable-Reinforcement Learning for Video Reasoning","publication_year":2026,"publication_date":"2026-03-29","ids":{"openalex":"https://openalex.org/W7147697607","doi":"https://doi.org/10.48550/arxiv.2603.27866"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.27866","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.27866","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.2603.27866","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132699306","display_name":"Ming Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Ming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132580516","display_name":"Yunbei Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yunbei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132666671","display_name":"Shilong Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Shilong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129736206","display_name":"Liwen Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Liwen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5132662936","display_name":"Wensheng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Wensheng","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":0.429500013589859,"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":0.429500013589859,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.31439998745918274,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.0430000014603138,"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/verifiable-secret-sharing","display_name":"Verifiable secret sharing","score":0.84170001745224},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6245999932289124},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6003000140190125},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5652999877929688},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.39340001344680786},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.3474999964237213},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.313400000333786}],"concepts":[{"id":"https://openalex.org/C85847156","wikidata":"https://www.wikidata.org/wiki/Q59015987","display_name":"Verifiable secret sharing","level":3,"score":0.84170001745224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7677000164985657},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6245999932289124},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6003000140190125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5996000170707703},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5652999877929688},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4481000006198883},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40209999680519104},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.39340001344680786},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3474999964237213},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.313400000333786},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.296999990940094},{"id":"https://openalex.org/C132758656","wikidata":"https://www.wikidata.org/wiki/Q5307365","display_name":"Dreyfus model of skill acquisition","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2524000108242035},{"id":"https://openalex.org/C3018412434","wikidata":"https://www.wikidata.org/wiki/Q7889","display_name":"Video game","level":2,"score":0.25189998745918274},{"id":"https://openalex.org/C173246807","wikidata":"https://www.wikidata.org/wiki/Q7833062","display_name":"Trajectory optimization","level":3,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.27866","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.27866","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.2603.27866","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.27866","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":{"Video":[0],"generation":[1],"models":[2,59,75,164],"produce":[3],"visually":[4],"coherent":[5],"content":[6],"but":[7,26],"struggle":[8],"with":[9,119],"tasks":[10,145],"requiring":[11],"spatial":[12],"reasoning":[13,31],"and":[14,60,65,142],"multi-step":[15],"planning.":[16],"Reinforcement":[17],"learning":[18],"(RL)":[19],"offers":[20],"a":[21,37,100,177],"path":[22],"to":[23,56,167],"improve":[24],"generalization,":[25],"its":[27],"effectiveness":[28],"in":[29,78,90],"video":[30,58,182],"hinges":[32],"on":[33,63,126,143],"reward":[34,74,87,150,163,174],"design":[35,85,175],"--":[36],"challenge":[38],"that":[39,72,116,153],"has":[40],"received":[41],"little":[42],"systematic":[43,149],"study.":[44],"We":[45,69],"investigate":[46],"this":[47,79],"problem":[48],"by":[49,136,146],"adapting":[50],"Group":[51],"Relative":[52],"Policy":[53],"Optimization":[54],"(GRPO)":[55],"flow-based":[57],"training":[61],"them":[62],"maze-solving":[64],"robotic":[66,105],"navigation":[67],"tasks.":[68],"first":[70],"show":[71,115],"multimodal":[73,162],"fail":[76],"catastrophically":[77],"setting.":[80],"To":[81],"address":[82],"this,":[83],"we":[84,98,107],"verifiable":[86,111,120,154,173],"functions":[88],"grounded":[89],"objective":[91],"task":[92],"metrics.":[93],"For":[94,104,124],"structured":[95],"game":[96],"environments,":[97],"introduce":[99],"multi-component":[101],"trajectory":[102],"reward.":[103,112],"navigation,":[106],"propose":[108],"an":[109],"embedding-level":[110],"Our":[113,148],"experiments":[114],"RL":[117],"fine-tuning":[118],"rewards":[121,155],"improves":[122,132],"generalization.":[123],"example,":[125],"complex":[127],"3D":[128],"mazes,":[129],"our":[130],"model":[131],"exact":[133],"match":[134],"accuracy":[135],"29.1\\%":[137],"over":[138],"the":[139],"SFT":[140],"baseline,":[141],"trap-avoidance":[144],"51.4\\%.":[147],"analysis":[151],"reveals":[152],"are":[156],"critical":[157],"for":[158,180],"stable":[159],"training,":[160],"while":[161],"could":[165],"lead":[166],"degenerate":[168],"solutions.":[169],"These":[170],"findings":[171],"establish":[172],"as":[176],"key":[178],"enabler":[179],"robust":[181],"reasoning.":[183],"Code":[184],"will":[185],"be":[186],"publicly":[187],"available.":[188]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-02T00:00:00"}