{"id":"https://openalex.org/W7161262535","doi":"https://doi.org/10.48550/arxiv.2605.14851","title":"IFPV: An Integrated Multi-Agent Framework for Generative Operational Planning and High-Fidelity Plan Verification","display_name":"IFPV: An Integrated Multi-Agent Framework for Generative Operational Planning and High-Fidelity Plan Verification","publication_year":2026,"publication_date":"2026-05-14","ids":{"openalex":"https://openalex.org/W7161262535","doi":"https://doi.org/10.48550/arxiv.2605.14851"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.14851","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14851","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.2605.14851","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100993469","display_name":"Zhigao Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Zhigao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136226546","display_name":"Zhengqing Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Zhengqing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136196927","display_name":"Dong Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Dong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136217367","display_name":"Shaohan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Shaohan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136254149","display_name":"Zhao Jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin, Zhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136212655","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0001-5751-8255"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Bo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136252643","display_name":"Han Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Han","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136222634","display_name":"Mingliang Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Mingliang","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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.6895999908447266,"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":0.6895999908447266,"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":0.12309999763965607,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.02250000089406967,"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/adversarial-system","display_name":"Adversarial system","score":0.6370999813079834},{"id":"https://openalex.org/keywords/executable","display_name":"Executable","score":0.6194000244140625},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.61080002784729},{"id":"https://openalex.org/keywords/planner","display_name":"Planner","score":0.6061999797821045},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.5055999755859375},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4431000053882599},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.44040000438690186},{"id":"https://openalex.org/keywords/operational-planning","display_name":"Operational planning","score":0.43650001287460327}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6370999813079834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6294999718666077},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.6194000244140625},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.61080002784729},{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.6061999797821045},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.5055999755859375},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4431000053882599},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.44040000438690186},{"id":"https://openalex.org/C2776613951","wikidata":"https://www.wikidata.org/wiki/Q7097788","display_name":"Operational planning","level":2,"score":0.43650001287460327},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.39559999108314514},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3614000082015991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35499998927116394},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C2779669469","wikidata":"https://www.wikidata.org/wiki/Q4895508","display_name":"Battlefield","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C114073186","wikidata":"https://www.wikidata.org/wiki/Q2631895","display_name":"Automated planning and scheduling","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28859999775886536},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.26969999074935913},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C184408114","wikidata":"https://www.wikidata.org/wiki/Q1502022","display_name":"Generative Design","level":3,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.14851","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14851","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.2605.14851","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14851","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":0.5996136665344238,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Operational":[0,44],"plan":[1,76],"generation":[2,17,27],"and":[3,10,18,29,46,66,94,115,139,177],"verification":[4,19,30,173],"are":[5],"critical":[6],"for":[7,42,62,73,190],"modern":[8],"complex":[9],"rapidly":[11],"changing":[12],"battlefield":[13],"environments,":[14],"yet":[15],"traditional":[16,158],"methods":[20],"still":[21],"respectively":[22],"face":[23],"the":[24,89,109,125,163,171,182],"challenges":[25],"of":[26,53,91,112,185],"infeasibility":[28],"insufficiency.":[31],"To":[32],"alleviate":[33],"these":[34],"limitations,":[35],"we":[36],"propose":[37],"an":[38,67,99],"Integrated":[39],"Multi-Agent":[40],"Framework":[41],"Generative":[43],"Planning":[45],"High-Fidelity":[47],"Plan":[48],"Verification":[49],"(IFPV).":[50],"IFPV":[51,133,191],"consists":[52],"two":[54],"tightly":[55],"coupled":[56],"modules:":[57],"Multi-Perspective":[58],"Hierarchical":[59],"Agents":[60],"(MPHA)":[61],"generative":[63],"operational":[64,141],"planning":[65,153],"Adversarial":[68],"Cognitive":[69],"Simulation":[70,122],"Engine":[71],"(ACSE)":[72],"high-fidelity":[74],"adversarial":[75],"verification.":[77],"MPHA":[78],"decomposes":[79],"commander":[80],"intent":[81],"into":[82],"executable":[83],"multi-platform":[84],"tactical":[85],"action":[86],"sequences":[87],"through":[88],"collaboration":[90],"Pathfinder,":[92],"Analyst,":[93],"Planner":[95],"agents.":[96],"ACSE":[97,161],"introduces":[98],"opponent":[100],"equipped":[101],"with":[102,146,156],"a":[103,147,157],"customized":[104],"world":[105],"model,":[106],"which":[107],"predicts":[108],"future":[110],"evolution":[111],"mission-critical":[113],"platforms":[114],"conducts":[116],"dynamic":[117],"counteractions":[118],"against":[119],"candidate":[120,186],"plans.":[121,187],"experiments":[123],"in":[124,180],"Asymmetric":[126],"Combat":[127],"Tactic":[128],"Simulator":[129],"(ACTS)":[130],"show":[131],"that":[132,170],"improves":[134],"mission":[135],"success":[136],"by":[137,143,167],"19.4%":[138],"reduces":[140],"cost":[142],"41.7%":[144],"compared":[145],"single-step":[148],"large":[149],"language":[150],"model":[151],"(LLM)":[152],"baseline.":[154],"Compared":[155],"rule-based":[159],"validator,":[160],"increases":[162],"average":[164],"suppression":[165],"rate":[166],"31.8%,":[168],"indicating":[169],"proposed":[172],"environment":[174],"is":[175],"stricter":[176],"more":[178],"discriminative":[179],"revealing":[181],"latent":[183],"vulnerabilities":[184],"The":[188],"code":[189],"can":[192],"be":[193],"found":[194],"at":[195],"https://github.com/zhigao3ks/IFPV.":[196]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-16T00:00:00"}
