{"id":"https://openalex.org/W7135187546","doi":"https://doi.org/10.48550/arxiv.2603.12266","title":"MM-CondChain: A Programmatically Verified Benchmark for Visually Grounded Deep Compositional Reasoning","display_name":"MM-CondChain: A Programmatically Verified Benchmark for Visually Grounded Deep Compositional Reasoning","publication_year":2026,"publication_date":"2026-03-12","ids":{"openalex":"https://openalex.org/W7135187546","doi":"https://doi.org/10.48550/arxiv.2603.12266"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.12266","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12266","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.2603.12266","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058869386","display_name":"Haozhan Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Haozhan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129013651","display_name":"Shilin Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan, Shilin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129090500","display_name":"Hongwei Xue","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xue, Hongwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101307582","display_name":"Shuaiqi Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Shuaiqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125244974","display_name":"Xiaojun Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Xiaojun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128986398","display_name":"Guannan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Guannan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128991939","display_name":"Tiancheng Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Tiancheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128993759","display_name":"Jianwei Yin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Jianwei","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":0.9434000253677368,"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":0.9434000253677368,"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/T10799","display_name":"Data Visualization and Analytics","score":0.01899999938905239,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.005799999926239252,"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/construct","display_name":"Construct (python library)","score":0.5358999967575073},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5113999843597412},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5058000087738037},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4909999966621399},{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.4189999997615814},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4032000005245209},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4009000062942505},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3855000138282776},{"id":"https://openalex.org/keywords/visual-language","display_name":"Visual language","score":0.36489999294281006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7674999833106995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5529000163078308},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5358999967575073},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5113999843597412},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5058000087738037},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4909999966621399},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.4189999997615814},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4090000092983246},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40779998898506165},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4032000005245209},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4009000062942505},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3855000138282776},{"id":"https://openalex.org/C2780878386","wikidata":"https://www.wikidata.org/wiki/Q1659648","display_name":"Visual language","level":2,"score":0.36489999294281006},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.36320000886917114},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3564000129699707},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.3546000123023987},{"id":"https://openalex.org/C166088908","wikidata":"https://www.wikidata.org/wiki/Q308495","display_name":"Abductive reasoning","level":2,"score":0.34610000252723694},{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.33799999952316284},{"id":"https://openalex.org/C85847156","wikidata":"https://www.wikidata.org/wiki/Q59015987","display_name":"Verifiable secret sharing","level":3,"score":0.33719998598098755},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3343999981880188},{"id":"https://openalex.org/C110251889","wikidata":"https://www.wikidata.org/wiki/Q1569697","display_name":"Model checking","level":2,"score":0.3328999876976013},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.27320000529289246},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.25760000944137573},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.12266","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12266","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.2603.12266","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12266","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"Large":[1],"Language":[2],"Models":[3],"(MLLMs)":[4],"are":[5],"increasingly":[6],"used":[7],"to":[8,138],"carry":[9],"out":[10],"visual":[11,24,103,127,194],"workflows":[12],"such":[13,145],"as":[14,88,227],"navigating":[15],"GUIs,":[16],"where":[17,93],"the":[18,34,37,44,120,134,139,212],"next":[19],"step":[20],"depends":[21],"on":[22,59,204,223],"verified":[23,181],"compositional":[25,67,81,99,160,236],"conditions":[26],"(e.g.,":[27],"\"if":[28],"a":[29,75,89,97,154,163,205,239],"permission":[30],"dialog":[31],"appears":[32],"and":[33,43,105,132,200,226],"color":[35],"of":[36,159,207],"interface":[38],"is":[39,86,173],"green,":[40],"click":[41],"Allow\")":[42],"process":[45],"may":[46],"branch":[47],"or":[48,61,111,229],"terminate":[49],"early.":[50],"Yet":[51],"this":[52,70,187],"capability":[53],"remains":[54,238],"under-evaluated:":[55],"existing":[56],"benchmarks":[57,191],"focus":[58],"shallow-compositions":[60],"independent-constraints":[62],"rather":[63],"than":[64],"deeply":[65],"chained":[66],"conditionals.":[68],"In":[69],"paper,":[71],"we":[72,148,189],"introduce":[73],"MM-CondChain,":[74],"benchmark":[76,84],"for":[77],"visually":[78],"grounded":[79,101],"deep":[80,235],"reasoning.":[82],"Each":[83],"instance":[85],"organized":[87],"multi-layer":[90],"reasoning":[91,237],"chain,":[92],"every":[94],"layer":[95],"contains":[96],"non-trivial":[98],"condition":[100,172],"in":[102,122],"evidence":[104],"built":[106],"from":[107],"multiple":[108,126],"objects,":[109],"attributes,":[110],"relations.":[112],"To":[113,142],"answer":[114],"correctly,":[115],"an":[116,150],"MLLM":[117],"must":[118],"perceive":[119],"image":[121],"detail,":[123],"reason":[124],"over":[125],"elements":[128],"at":[129],"each":[130,170],"step,":[131],"follow":[133],"resulting":[135],"execution":[136],"path":[137],"final":[140],"outcome.":[141],"scalably":[143],"construct":[144,190],"workflow-style":[146],"data,":[147],"propose":[149],"agentic":[151],"synthesis":[152],"pipeline:":[153],"Planner":[155],"orchestrates":[156],"layer-by-layer":[157],"generation":[158],"conditions,":[161],"while":[162],"Verifiable":[164],"Programmatic":[165],"Intermediate":[166],"Representation":[167],"(VPIR)":[168],"ensures":[169],"layer's":[171],"mechanically":[174],"verifiable.":[175],"A":[176],"Composer":[177],"then":[178],"assembles":[179],"these":[180],"layers":[182],"into":[183],"complete":[184],"instructions.":[185],"Using":[186],"pipeline,":[188],"across":[192],"three":[193],"domains:":[195],"natural":[196],"images,":[197],"data":[198],"charts,":[199],"GUI":[201],"trajectories.":[202],"Experiments":[203],"range":[206],"MLLMs":[208],"show":[209],"that":[210,234],"even":[211],"strongest":[213],"model":[214],"attains":[215],"only":[216],"53.33":[217],"Path":[218],"F1,":[219],"with":[220],"sharp":[221],"drops":[222],"hard":[224],"negatives":[225],"depth":[228],"predicate":[230],"complexity":[231],"grows,":[232],"confirming":[233],"fundamental":[240],"challenge.":[241]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-14T00:00:00"}
