{"id":"https://openalex.org/W7161048164","doi":"https://doi.org/10.48550/arxiv.2605.11732","title":"AgentDisCo: Towards Disentanglement and Collaboration in Open-ended Deep Research Agents","display_name":"AgentDisCo: Towards Disentanglement and Collaboration in Open-ended Deep Research Agents","publication_year":2026,"publication_date":"2026-05-12","ids":{"openalex":"https://openalex.org/W7161048164","doi":"https://doi.org/10.48550/arxiv.2605.11732"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.11732","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11732","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.2605.11732","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136056693","display_name":"Jiarui Jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin, Jiarui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136021310","display_name":"Zexuan Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan, Zexuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115592225","display_name":"Shijian Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Shijian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136015055","display_name":"Wenxiang Jiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiao, Wenxiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136071974","display_name":"Yuan Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Yuan","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/T11986","display_name":"Scientific Computing and Data Management","score":0.13660000264644623,"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"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.13660000264644623,"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/T10028","display_name":"Topic Modeling","score":0.07460000365972519,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.05339999869465828,"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/workflow","display_name":"Workflow","score":0.7146999835968018},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4957999885082245},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.4648999869823456},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4311000108718872},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.41269999742507935},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4047999978065491},{"id":"https://openalex.org/keywords/conflation","display_name":"Conflation","score":0.4032000005245209},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.34549999237060547}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7146999835968018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7124000191688538},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4957999885082245},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.4648999869823456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4345000088214874},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4311000108718872},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.42149999737739563},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.41269999742507935},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4047999978065491},{"id":"https://openalex.org/C130440534","wikidata":"https://www.wikidata.org/wiki/Q14946528","display_name":"Conflation","level":2,"score":0.4032000005245209},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.34549999237060547},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3296999931335449},{"id":"https://openalex.org/C74072328","wikidata":"https://www.wikidata.org/wiki/Q1142726","display_name":"Intelligent agent","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2976999878883362},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.29499998688697815},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C519536355","wikidata":"https://www.wikidata.org/wiki/Q21021151","display_name":"Repurposing","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C13687954","wikidata":"https://www.wikidata.org/wiki/Q4826847","display_name":"Autonomous agent","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2538999915122986},{"id":"https://openalex.org/C114073186","wikidata":"https://www.wikidata.org/wiki/Q2631895","display_name":"Automated planning and scheduling","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.11732","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11732","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.2605.11732","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11732","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,179],"present":[4],"AgentDisCo,":[5],"a":[6,36,41,53,72,78,94,105,128,131,186,201],"novel":[7],"Disentangled":[8],"and":[9,25,48,52,60,88,112,126,213],"Collaborative":[10],"agentic":[11],"architecture":[12],"that":[13,30,76,171,188,204],"formulates":[14],"deep":[15,153,224],"research":[16,80,154,191,206,225],"as":[17,104],"an":[18,215],"adversarial":[19],"optimization":[20],"problem":[21],"between":[22],"information":[23],"exploration":[24],"exploitation.":[26],"Unlike":[27],"existing":[28,172],"approaches":[29],"conflate":[31],"these":[32],"two":[33],"processes":[34],"into":[35,208],"single":[37],"module,":[38],"AgentDisCo":[39,149],"employs":[40],"critic":[42,110],"agent":[43,55,101,107,124,203],"to":[44,56,71,108,141,164],"evaluate":[45,109,148],"generated":[46],"outlines":[47,62],"refine":[49],"search":[50],"queries,":[51],"generator":[54,100],"retrieve":[57],"updated":[58],"results":[59],"revise":[61],"accordingly.":[63],"The":[64,82],"iteratively":[65],"refined":[66],"outline":[67],"is":[68,102],"then":[69],"passed":[70],"downstream":[73],"report":[74],"writer":[75],"synthesizes":[77],"comprehensive":[79],"report.":[81],"overall":[83],"workflow":[84],"supports":[85],"both":[86],"handcrafted":[87],"automatically":[89],"discovered":[90],"design":[91,136],"strategies":[92],"via":[93],"meta-optimization":[95],"harness,":[96],"in":[97],"which":[98,221],"the":[99,139],"repurposed":[103],"scoring":[106],"outputs":[111],"generate":[113],"quality":[114],"signals.":[115],"Powerful":[116],"code-generation":[117],"agents":[118],"(e.g.,":[119],"Claude-Code,":[120],"Codex)":[121],"systematically":[122],"explore":[123],"configurations":[125],"construct":[127],"policy":[129],"bank,":[130],"structured":[132],"repository":[133],"of":[134],"reusable":[135],"strategies,":[137],"enabling":[138],"framework":[140],"self-refine":[142],"without":[143],"extensive":[144],"human":[145],"intervention.":[146],"We":[147,198],"on":[150],"three":[151],"established":[152],"benchmarks":[155,173],"(DeepResearchBench,":[156],"DeepConsult,":[157],"DeepResearchGym)":[158],"using":[159],"Gemini-2.5-Pro,":[160],"achieving":[161],"performance":[162],"comparable":[163],"or":[165],"surpassing":[166],"leading":[167],"closed-source":[168],"systems.":[169],"Observing":[170],"inadequately":[174],"reflect":[175],"real-world":[176],"user":[177],"needs,":[178],"introduce":[180],"GALA":[181],"(General":[182],"AI":[183],"Life":[184],"Assistants),":[185],"benchmark":[187],"mines":[189],"latent":[190],"interests":[192],"from":[193,228],"users'":[194],"historical":[195],"browsing":[196,230],"behavior.":[197],"further":[199],"develop":[200],"rendering":[202],"converts":[205],"reports":[207],"visually":[209],"rich":[210],"poster":[211],"presentations,":[212],"demonstrate":[214],"end-to-end":[216],"product,":[217],"AutoResearch":[218],"Your":[219],"Interest,":[220],"delivers":[222],"personalized":[223],"recommendations":[226],"derived":[227],"individual":[229],"histories.":[231]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-14T00:00:00"}