{"id":"https://openalex.org/W7154587752","doi":"https://doi.org/10.48550/arxiv.2604.13824","title":"Beyond State Consistency: Behavior Consistency in Text-Based World Models","display_name":"Beyond State Consistency: Behavior Consistency in Text-Based World Models","publication_year":2026,"publication_date":"2026-04-15","ids":{"openalex":"https://openalex.org/W7154587752","doi":"https://doi.org/10.48550/arxiv.2604.13824"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.13824","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.13824","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.13824","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133759676","display_name":"Youling Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Youling","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057322185","display_name":"Guanqiao Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Guanqiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133810115","display_name":"Junchi Yao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao, Junchi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088070632","display_name":"Lu Wang","orcid":"https://orcid.org/0000-0003-2978-821X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Lu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133801564","display_name":"Fangkai Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Fangkai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133819589","display_name":"Chao Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, Chao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133791870","display_name":"ChenZhuo Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, ChenZhuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133763603","display_name":"Pu Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Pu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133788046","display_name":"Qingwei Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Qingwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133790291","display_name":"Saravan Rajmohan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rajmohan, Saravan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133807731","display_name":"Dongmei Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Dongmei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":11,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.5335999727249146,"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"}},"topics":[{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.5335999727249146,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.10029999911785126,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.09529999643564224,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.7641000151634216},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6948999762535095},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5245000123977661},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5016000270843506},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44690001010894775},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.43309998512268066},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.41130000352859497}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.7641000151634216},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6948999762535095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6542999744415283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6000999808311462},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5996000170707703},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5245000123977661},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5016000270843506},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44690001010894775},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.43309998512268066},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.41130000352859497},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.40459999442100525},{"id":"https://openalex.org/C37279795","wikidata":"https://www.wikidata.org/wiki/Q2492305","display_name":"Consistency model","level":3,"score":0.3986000120639801},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38359999656677246},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.3828999996185303},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3046000003814697},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C112789634","wikidata":"https://www.wikidata.org/wiki/Q18207010","display_name":"False positives and false negatives","level":3,"score":0.263700008392334},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.13824","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.13824","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.13824","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.13824","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":"article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5359492897987366,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"World":[0,168],"models":[1,28,169],"have":[2,54],"been":[3,55],"emerging":[4],"as":[5,38],"critical":[6],"components":[7],"for":[8,60],"assessing":[9],"the":[10,44,79,83,87,108,117,121,145],"consequences":[11],"of":[12,110,165],"actions":[13],"generated":[14],"by":[15],"interactive":[16],"agents":[17],"in":[18,141,148,153,163,178,188],"online":[19],"planning":[20],"and":[21,32,48,86,120,132,150,182],"offline":[22,179],"evaluation.":[23],"In":[24],"text-based":[25],"environments,":[26],"world":[27,84],"are":[29],"typically":[30],"evaluated":[31],"trained":[33,170],"with":[34,144,171],"single-step":[35,160],"metrics":[36,53],"such":[37,52],"Exact":[39],"Match,":[40],"aiming":[41],"to":[42,57],"improve":[43],"similarity":[45],"between":[46,82,116],"predicted":[47],"real-world":[49],"states,":[50],"but":[51,185],"shown":[56],"be":[58],"insufficient":[59],"capturing":[61],"actual":[62],"agent":[63],"behavior.":[64],"To":[65],"address":[66],"this":[67],"issue,":[68],"we":[69],"introduce":[70],"a":[71,95,111,125],"new":[72],"behavior-aligned":[73],"training":[74,137],"paradigm":[75,91],"aimed":[76],"at":[77],"improving":[78,159],"functional":[80],"consistency":[81],"model":[85],"real":[88,118],"environment.":[89],"This":[90],"focuses":[92],"on":[93,130],"optimizing":[94],"tractable":[96],"step-level":[97],"metric":[98],"named":[99],"Behavior":[100],"Consistency":[101],"Reward":[102],"(BehR),":[103],"which":[104],"measures":[105],"how":[106],"much":[107],"likelihood":[109],"logged":[112],"next":[113],"action":[114],"changes":[115],"state":[119,123],"world-model-predicted":[122],"under":[124],"frozen":[126],"Reference":[127],"Agent.":[128],"Experiments":[129],"WebShop":[131,149],"TextWorld":[133],"show":[134,183],"that":[135],"BehR-based":[136],"improves":[138],"long-term":[139],"alignment":[140],"several":[142],"settings,":[143],"clearest":[146],"gains":[147,187],"less":[151],"movement":[152],"near-ceiling":[154],"regimes,":[155],"while":[156],"preserving":[157],"or":[158],"prediction":[161],"quality":[162],"three":[164],"four":[166],"settings.":[167],"BehR":[172],"also":[173],"achieve":[174],"lower":[175],"false":[176],"positives":[177],"surrogate":[180],"evaluation":[181],"modest":[184],"encouraging":[186],"inference-time":[189],"lookahead":[190],"planning.":[191]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-17T00:00:00"}
