{"id":"https://openalex.org/W7165643543","doi":"https://doi.org/10.48550/arxiv.2606.21891","title":"Learning the ARTS of Search for Automated Discovery","display_name":"Learning the ARTS of Search for Automated Discovery","publication_year":2026,"publication_date":"2026-06-20","ids":{"openalex":"https://openalex.org/W7165643543","doi":"https://doi.org/10.48550/arxiv.2606.21891"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.21891","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21891","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2606.21891","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139185146","display_name":"Gurusha Juneja","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juneja, Gurusha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110935245","display_name":"Arnav Jain","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jain, Arnav Kumar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050963493","display_name":"Deepak Nathani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nathani, Deepak","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139167520","display_name":"William Yang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, William Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139142611","display_name":"Xin Eric Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xin Eric","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":0.2615000009536743,"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":0.2615000009536743,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.12630000710487366,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.06800000369548798,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6987000107765198},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6363999843597412},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5424000024795532},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5135999917984009},{"id":"https://openalex.org/keywords/conflation","display_name":"Conflation","score":0.4733000099658966},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45260000228881836},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4519999921321869},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.44449999928474426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7501000165939331},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6987000107765198},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6363999843597412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5450999736785889},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5424000024795532},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5135999917984009},{"id":"https://openalex.org/C130440534","wikidata":"https://www.wikidata.org/wiki/Q14946528","display_name":"Conflation","level":2,"score":0.4733000099658966},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4636000096797943},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45260000228881836},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4519999921321869},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.44449999928474426},{"id":"https://openalex.org/C70789860","wikidata":"https://www.wikidata.org/wiki/Q2018526","display_name":"The arts","level":2,"score":0.429500013589859},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.38510000705718994},{"id":"https://openalex.org/C207024777","wikidata":"https://www.wikidata.org/wiki/Q621673","display_name":"Search tree","level":3,"score":0.35580000281333923},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.33500000834465027},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2919999957084656},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.28780001401901245},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.26759999990463257},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.265500009059906},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2563999891281128},{"id":"https://openalex.org/C2777348039","wikidata":"https://www.wikidata.org/wiki/Q6423397","display_name":"Knowledge space","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.21891","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21891","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.21891","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21891","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6231083273887634,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Scientific":[0],"discovery":[1],"can":[2,175],"be":[3],"formulated":[4],"as":[5,25,66],"an":[6],"iterative":[7],"search":[8,64,68,137],"process":[9],"over":[10,158],"the":[11,30,36,63,67,71,75,116,134,140,163,203,211,216],"space":[12,21],"of":[13,32,38,136],"hypotheses":[14],"and":[15,114,148,185],"experiments.":[16],"Contemporary":[17],"methods":[18,61,222],"navigate":[19,94],"this":[20,95],"using":[22],"heuristics":[23],"such":[24],"MCTS.":[26],"These":[27],"algorithms":[28],"conflate":[29],"merit":[31],"a":[33,52,89,172],"hypothesis":[34,44,54,117],"with":[35,45,125,157,178,188,210],"quality":[37],"its":[39],"experimental":[40],"execution.":[41],"A":[42],"promising":[43],"preliminary":[46],"execution":[47,56,101],"is":[48,57],"therefore":[49],"ranked":[50],"below":[51],"modest":[53],"whose":[55],"refined.":[58],"Moreover,":[59],"prior":[60,100],"prune":[62,223],"logs":[65],"progresses":[69],"because":[70],"accumulated":[72],"history":[73],"outgrows":[74],"context":[76,126],"window.":[77],"We":[78,194],"propose":[79],"Agentic":[80],"Reasoning":[81],"for":[82],"Tree":[83],"Search":[84],"(ARTS),":[85],"where":[86],"we":[87,150,169],"deploy":[88],"reasoning":[90],"language":[91],"model":[92,98,141],"to":[93,118,132],"space.":[96],"The":[97],"inspects":[99],"logs,":[102],"diagnoses":[103],"whether":[104],"earlier":[105],"failures":[106],"arose":[107],"from":[108,146],"faulty":[109],"implementations":[110],"or":[111],"bad":[112],"hypotheses,":[113],"selects":[115],"build":[119],"on":[120,198],"next.":[121],"To":[122],"mitigate":[123],"challenges":[124],"length,":[127],"ARTS":[128,153,209],"uses":[129],"test-time":[130,167,204],"training":[131,168],"instill":[133],"knowledge":[135],"tree":[138],"in":[139,162],"weights.":[142],"Across":[143],"22":[144],"tasks":[145],"MLGym":[147],"MLEBench,":[149],"show":[151,170],"that":[152,171,197,220],"outperforms":[154],"leading":[155],"algorithms,":[156],"15.3%":[159],"relative":[160],"improvement":[161],"normalized":[164],"score.":[165],"With":[166],"Qwen3-4B":[173,206],"agent":[174],"match":[176],"performance":[177],"closed-source":[179],"frontier":[180],"models":[181],"like":[182],"Gemini-3":[183],"Pro":[184],"GPT":[186],"o3-reasoning":[187],"upto":[189],"5x":[190],"lower":[191],"inference":[192],"cost.":[193],"further":[195],"observe":[196],"partially":[199],"observable":[200],"RL":[201],"tasks,":[202],"trained":[205],"scientist":[207,213],"surpasses":[208],"o3":[212],"by":[214],"rediscovering":[215],"human-best":[217],"recurrent-memory":[218],"solution":[219],"heuristic":[221],"away.":[224]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-24T00:00:00"}