{"id":"https://openalex.org/W7164827870","doi":"https://doi.org/10.48550/arxiv.2606.14581","title":"CARE: Context-Aware Ranking Evolution with Executable Scoring Programs for Budgeted Reaction Optimization","display_name":"CARE: Context-Aware Ranking Evolution with Executable Scoring Programs for Budgeted Reaction Optimization","publication_year":2026,"publication_date":"2026-06-12","ids":{"openalex":"https://openalex.org/W7164827870","doi":"https://doi.org/10.48550/arxiv.2606.14581"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.14581","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14581","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":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.2606.14581","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138677934","display_name":"Guanyu Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Guanyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138660062","display_name":"Weiyi Kong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kong, Weiyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138641257","display_name":"Zeyu Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Chao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5144325220","display_name":"Zeyu Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zeyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018409411","display_name":"Boer Zhang","orcid":"https://orcid.org/0000-0001-9752-8239"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Boer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070851410","display_name":"Baiqing Li","orcid":"https://orcid.org/0000-0001-8351-8267"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Baiqing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5144382621","display_name":"Peiyu Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Peiyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5144366421","display_name":"Tianyu Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Tianyu","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":0.798799991607666,"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":0.798799991607666,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.017400000244379044,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10260","display_name":"Software Engineering Research","score":0.013299999758601189,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/audit","display_name":"Audit","score":0.5896999835968018},{"id":"https://openalex.org/keywords/scientific-evidence","display_name":"Scientific evidence","score":0.5831999778747559},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5568000078201294},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4952000081539154},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.4884999990463257},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.48350000381469727},{"id":"https://openalex.org/keywords/intervention","display_name":"Intervention (counseling)","score":0.4733999967575073},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.46480000019073486}],"concepts":[{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.5896999835968018},{"id":"https://openalex.org/C124056412","wikidata":"https://www.wikidata.org/wiki/Q3320364","display_name":"Scientific evidence","level":2,"score":0.5831999778747559},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5568000078201294},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4952000081539154},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.4884999990463257},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.4864000082015991},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.48350000381469727},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.4796999990940094},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.4733999967575073},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.46480000019073486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34880000352859497},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.32269999384880066},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3160000145435333},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3127000033855438},{"id":"https://openalex.org/C59491497","wikidata":"https://www.wikidata.org/wiki/Q864715","display_name":"Biosimilar","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C100001284","wikidata":"https://www.wikidata.org/wiki/Q2248246","display_name":"Public economics","level":1,"score":0.2867000102996826},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C2778979077","wikidata":"https://www.wikidata.org/wiki/Q330190","display_name":"Receipt","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.27399998903274536},{"id":"https://openalex.org/C185809878","wikidata":"https://www.wikidata.org/wiki/Q13649246","display_name":"Uncertainty","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C65414064","wikidata":"https://www.wikidata.org/wiki/Q484105","display_name":"Autonomy","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.2565999925136566}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.14581","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14581","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":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.2606.14581","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14581","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.40950289368629456}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"High-throughput":[0],"experimentation":[1],"can":[2,40,56,140],"evaluate":[3],"many":[4],"reaction":[5],"conditions,":[6,91],"yet":[7],"combinatorial":[8],"condition":[9,27],"spaces":[10],"still":[11],"exceed":[12],"the":[13,89,110,121,125,128,147,155,160,176,180,186,191],"available":[14],"experiment":[15,19,78,217],"budget.":[16],"This":[17,150],"makes":[18],"selection":[20,43],"a":[21,51,70,93,98,113,198,209,215],"sequential":[22],"decision":[23,65,126],"problem:":[24],"each":[25],"new":[26,134],"must":[28],"be":[29,57],"chosen":[30],"from":[31,77,109],"limited":[32],"observations":[33],"before":[34,127],"its":[35],"outcome":[36,130,135],"is":[37,49,131],"known.":[38],"LLMs":[39],"express":[41],"task-specific":[42],"logic.":[44],"A":[45],"direct":[46],"recommendation,":[47],"however,":[48],"neither":[50],"persistent":[52],"executable":[53,84],"object":[54],"that":[55,73,87],"validated":[58],"and":[59,101,123,139,185],"revised":[60],"nor":[61],"an":[62,83,106,203],"independently":[63],"auditable":[64],"rule.":[66],"We":[67],"introduce":[68],"CARE,":[69],"reference-conditioned":[71,114,210],"controller":[72,137],"separates":[74],"program":[75,86,152,200],"synthesis":[76],"selection.":[79],"An":[80],"LLM":[81,161,204],"writes":[82],"scoring":[85,156,199],"ranks":[88],"remaining":[90],"while":[92],"non-LLM":[94],"reference":[95],"policy":[96],"supplies":[97],"numerical":[99],"candidate":[100],"support":[102,196],"summary.":[103],"CARE":[104,174],"forms":[105],"optional":[107],"alternative":[108],"program,":[111],"applies":[112],"intervention":[115],"gate":[116],"to":[117],"compare":[118],"it":[119],"with":[120,167],"reference,":[122],"records":[124],"selected":[129],"revealed.":[132],"Each":[133],"updates":[136],"state":[138],"trigger":[141],"retention,":[142],"revision,":[143],"or":[144],"regeneration":[145],"of":[146,208],"active":[148],"program.":[149],"outcome-guided":[151],"evolution":[153],"changes":[154],"logic":[157],"without":[158],"updating":[159],"parameters.":[162],"In":[163],"matched":[164],"offline":[165],"replay":[166],"30":[168],"seeds":[169],"on":[170],"eight":[171],"reaction-optimization":[172],"tasks,":[173],"attains":[175],"lowest":[177],"normalized":[178,182],"regret,":[179],"highest":[181,187],"best-so-far":[183],"AUC,":[184],"Top-1%":[188],"Success@15":[189],"among":[190],"evaluated":[192],"methods.":[193],"These":[194],"results":[195],"using":[197],"written":[201],"by":[202],"as":[205,214],"one":[206],"component":[207],"optimizer":[211],"rather":[212],"than":[213],"standalone":[216],"selector.":[218]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2026-06-16T00:00:00"}
