{"id":"https://openalex.org/W7163185811","doi":"https://doi.org/10.48550/arxiv.2606.00708","title":"MOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition","display_name":"MOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition","publication_year":2026,"publication_date":"2026-05-30","ids":{"openalex":"https://openalex.org/W7163185811","doi":"https://doi.org/10.48550/arxiv.2606.00708"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.00708","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00708","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.2606.00708","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137691062","display_name":"Yifan Bao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bao, Yifan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137647865","display_name":"Xinyu Xi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xi, Xinyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137667618","display_name":"Xinyu Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xinyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137618762","display_name":"Wen Ge","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ge, Wen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137709930","display_name":"Lei Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137649415","display_name":"Kevin Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Kevin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065257702","display_name":"Raad Khraishi","orcid":"https://orcid.org/0000-0002-6278-4942"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khraishi, Raad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027345020","display_name":"Yihao Ang","orcid":"https://orcid.org/0009-0009-1564-4937"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ang, Yihao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137649518","display_name":"Anthony Kum Hoe Tung","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tung, Anthony K. H.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134597938","display_name":"Lukasz Szpruch","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Szpruch, Lukasz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137616508","display_name":"Hao Ni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ni, Hao","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/T12535","display_name":"Machine Learning and Data Classification","score":0.7439000010490417,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.7439000010490417,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.05009999871253967,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.014399999752640724,"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/orchestration","display_name":"Orchestration","score":0.580299973487854},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5527999997138977},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5515000224113464},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.46790000796318054},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.43459999561309814},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4327999949455261},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.42750000953674316},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.40619999170303345},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.38909998536109924},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.3855000138282776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7746999859809875},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.580299973487854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5692999958992004},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5527999997138977},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5515000224113464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5163999795913696},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.46790000796318054},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.43459999561309814},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4327999949455261},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.42750000953674316},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.40619999170303345},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.38909998536109924},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.3855000138282776},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.38370001316070557},{"id":"https://openalex.org/C155911762","wikidata":"https://www.wikidata.org/wiki/Q422321","display_name":"Blueprint","level":2,"score":0.3718000054359436},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.3472999930381775},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3327000141143799},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3301999866962433},{"id":"https://openalex.org/C517642484","wikidata":"https://www.wikidata.org/wiki/Q2388514","display_name":"Intelligence analysis","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3010999858379364},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.2791999876499176},{"id":"https://openalex.org/C51929080","wikidata":"https://www.wikidata.org/wiki/Q2425187","display_name":"Codebase","level":3,"score":0.27649998664855957},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2671000063419342},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.26100000739097595},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.25220000743865967},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.25200000405311584},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.00708","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00708","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.2606.00708","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00708","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":0.6866015791893005,"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":{"Automated":[0],"data":[1,12,221],"science":[2,222],"is":[3],"a":[4,25,81,93,99,111,132,164],"structured":[5,82],"model-selection":[6],"problem.":[7],"A":[8],"solution":[9],"must":[10,180],"choose":[11],"transformations,":[13],"feature":[14],"representations,":[15],"architecture,":[16],"training":[17,159],"procedure,":[18],"evaluation":[19],"protocol,":[20],"and":[21,41,53,66,79,89,95,106,109,123,136,154,163,176,188,195,201,212,226],"refinement":[22],"strategy":[23],"for":[24,75,85],"task.":[26],"AutoML":[27,200],"systems":[28],"automate":[29],"parts":[30],"of":[31,218],"this":[32],"process,":[33],"but":[34],"typically":[35],"search":[36,135],"within":[37],"predefined":[38],"pipeline,":[39],"model,":[40],"hyperparameter":[42],"spaces.":[43],"LLM-based":[44,138],"agents":[45],"offer":[46],"greater":[47],"flexibility":[48],"through":[49],"retrieval,":[50],"code":[51,139],"generation,":[52,177],"execution":[54,124,153,186,210],"feedback,":[55,158],"yet":[56],"their":[57],"modelling":[58,118],"decisions":[59],"are":[60,150],"often":[61],"unstructured,":[62],"difficult":[63],"to":[64,68],"verify,":[65],"hard":[67],"reuse.":[69],"We":[70,169],"introduce":[71],"\\textsc{MOSAIC}":[72,97,171,206],"(Modular":[73],"Orchestration":[74],"Structured":[76],"Agentic":[77],"Intelligence":[78],"Composition),":[80],"agentic":[83,202],"framework":[84],"memory-grounded":[86],"model":[87,129,228],"selection":[88,130],"workflow":[90],"construction.":[91],"Given":[92],"task":[94,101,161,208],"dataset,":[96],"builds":[98],"semantic":[100],"profile,":[102],"retrieves":[103],"prior":[104],"cases":[105],"source-code":[107],"modules,":[108],"constructs":[110],"blueprint:":[112],"an":[113],"intermediate":[114],"representation":[115],"specifying":[116],"selected":[117],"components,":[119],"composition,":[120],"interface":[121],"constraints,":[122],"requirements.":[125],"This":[126],"blueprint":[127],"turns":[128],"into":[131],"staged,":[133],"context-grounded":[134],"grounds":[137],"generation":[140],"in":[141],"retrieved":[142],"evidence":[143],"rather":[144],"than":[145],"unconstrained":[146],"synthesis.":[147],"Candidate":[148],"models":[149,179],"validated":[151],"by":[152],"refined":[155],"using":[156],"diagnostic":[157],"traces,":[160],"metrics,":[162],"failure-aware":[165],"reinforcement":[166],"learning":[167],"policy.":[168],"instantiate":[170],"on":[172],"financial":[173,190],"time-series":[174],"forecasting":[175],"where":[178],"satisfy":[181],"predictive":[182],"accuracy,":[183],"distributional":[184],"fidelity,":[185],"reliability,":[187],"downstream":[189],"criteria":[191],"such":[192],"as":[193,223],"risk":[194],"tail":[196],"behaviour.":[197],"Experiments":[198],"against":[199],"baselines":[203],"show":[204],"that":[205],"improves":[207],"performance,":[209],"success,":[211],"decision":[213],"traceability,":[214],"demonstrating":[215],"the":[216],"value":[217],"treating":[219],"automated":[220],"structured,":[224],"reusable,":[225],"execution-grounded":[227],"selection.":[229]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-03T00:00:00"}
