{"id":"https://openalex.org/W7169879786","doi":"https://doi.org/10.48550/arxiv.2607.16387","title":"Fantastic Adaptive Taxonomies and How to Use Them","display_name":"Fantastic Adaptive Taxonomies and How to Use Them","publication_year":2026,"publication_date":"2026-07-17","ids":{"openalex":"https://openalex.org/W7169879786","doi":"https://doi.org/10.48550/arxiv.2607.16387"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.16387","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.16387","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.2607.16387","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5141245708","display_name":"Mert Cemri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cemri, Mert","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066371403","display_name":"Andrei Cojocaru","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cojocaru, Andrei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136800963","display_name":"Melissa Pan","orcid":"https://orcid.org/0009-0001-7826-2049"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pan, Melissa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103870133","display_name":"Liu S","orcid":"https://orcid.org/0000-0001-7255-0982"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Shu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5141301262","display_name":"Shubham Agarwal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Agarwal, Shubham","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106110610","display_name":"Alexander Krentsel","orcid":"https://orcid.org/0009-0005-2728-1898"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Krentsel, Alexander","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101270725","display_name":"Jay Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Jay","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030620564","display_name":"Kannan Ramchandran","orcid":"https://orcid.org/0000-0002-4567-328X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ramchandran, Kannan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5141252801","display_name":"Joseph E. Gonzalez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gonzalez, Joseph E.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5141255154","display_name":"Matei Zaharia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zaharia, Matei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109524429","display_name":"Alex Dimakis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dimakis, Alex","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127868466","display_name":"Ion Stoica","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stoica, Ion","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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.289900004863739,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.289900004863739,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.11490000039339066,"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/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.0940999984741211,"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/vocabulary","display_name":"Vocabulary","score":0.6344000101089478},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6284000277519226},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.600600004196167},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.5121999979019165},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.47609999775886536},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.4494999945163727}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7846999764442444},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6344000101089478},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6284000277519226},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.600600004196167},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.5121999979019165},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.47609999775886536},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.4494999945163727},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.43549999594688416},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42590001225471497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41589999198913574},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3578000068664551},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.31439998745918274},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.3061000108718872},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C136979486","wikidata":"https://www.wikidata.org/wiki/Q773483","display_name":"Existential quantification","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2556999921798706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.16387","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.16387","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.2607.16387","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.16387","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"An":[0],"agent":[1,58],"system's":[2,90],"execution":[3],"traces":[4,30,35,91,257],"record":[5],"how":[6,67],"it":[7,68],"fails,":[8,69],"and":[9,23,46,75,108,114,181,239,260],"procedures":[10,262],"that":[11,42,56,223,263],"improve":[12,264],"such":[13],"a":[14,37,48,88,93,133,137,190,197,235],"system":[15,59],"without":[16],"changing":[17],"model":[18],"weights":[19],"(trajectory":[20],"selection,":[21,195],"prompt":[22],"workflow":[24],"optimization,":[25],"runtime":[26,191],"monitoring)":[27],"read":[28],"these":[29],"for":[31,40,51,243],"feedback.":[32],"Yet":[33],"raw":[34],"are":[36],"poor":[38],"medium":[39],"accumulating":[41],"feedback:":[43],"long,":[44],"instance-specific,":[45],"lacking":[47],"stable":[49],"vocabulary":[50,216],"recurring":[52],"failures.":[53],"We":[54],"argue":[55],"an":[57,63],"should":[60],"instead":[61],"maintain":[62],"explicit":[64],"representation":[65,85],"of":[66,151],"induced":[70,117,202,242],"from":[71,118,174,185],"its":[72],"own":[73],"behavior":[74],"reusable":[76],"wherever":[77],"failure":[78,96,99,230,250],"feedback":[79,139,166],"is":[80,123,130,218],"needed.":[81],"AdaMAST":[82],"builds":[83],"this":[84],"by":[86,210],"converting":[87],"target":[89],"into":[92],"compact,":[94],"evidence-grounded":[95],"taxonomy:":[97],"named":[98],"codes":[100],"organized":[101],"along":[102],"three":[103,144],"fixed":[104],"axes":[105],"(system-level,":[106],"role-specific,":[107],"domain-specific),":[109],"with":[110,176],"every":[111],"name,":[112],"definition,":[113],"evidence":[115],"pattern":[116],"the":[119,201,253,256,261],"traces;":[120],"no":[121,125],"code":[122],"hand-authored,":[124],"trace":[126,225],"human-annotated.":[127],"The":[128,215],"taxonomy":[129,165],"not":[131],"merely":[132],"post-hoc":[134],"diagnostic":[135],"but":[136],"shared":[138],"interface,":[140],"improving":[141],"agents":[142,258],"in":[143],"ways.":[145],"In":[146,193],"agent-system":[147],"search,":[148],"taxonomy-coded":[149],"diagnoses":[150],"failed":[152],"candidates":[153],"outperform":[154],"free-form":[155],"reflection":[156,178],"on":[157,170,200,207],"all":[158],"five":[159],"benchmarks":[160],"we":[161],"test.":[162],"At":[163],"runtime,":[164],"raises":[167],"SWE-agent's":[168],"resolution":[169],"SWE-bench":[171],"Verified":[172],"Mini":[173],"60%":[175],"free-text":[177],"to":[179,187],"70%,":[180],"improves":[182,204],"Claude":[183],"Code":[184],"64.0%":[186],"70.7%":[188],"as":[189],"skill.":[192],"trajectory":[194],"AdaMAST-Judge,":[196],"verifier":[198],"built":[199],"codes,":[203],"best-of-5":[205],"accuracy":[206],"Terminal-Bench":[208],"2.0":[209],"8-15":[211],"points":[212],"over":[213],"Pass@1.":[214],"itself":[217],"compact":[219],"(an":[220],"order-of-magnitude":[221],"compression":[222],"preserves":[224],"distinctions),":[226],"human-faithful":[227],"(matching":[228],"expert":[229],"annotations":[231],"more":[232],"closely":[233],"than":[234],"hand-crafted":[236],"reference":[237],"vocabulary),":[238],"adaptive":[240],"(taxonomies":[241],"different":[244],"domains":[245],"share":[246],"few":[247],"codes).":[248],"Adaptive":[249],"taxonomies":[251],"close":[252],"loop":[254],"between":[255],"produce":[259],"them.":[265]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-22T00:00:00"}
