{"id":"https://openalex.org/W7165029409","doi":"https://doi.org/10.1145/3794763.3798174","title":"Reducing Token Usage of State-in-Context Agents using Minification","display_name":"Reducing Token Usage of State-in-Context Agents using Minification","publication_year":2026,"publication_date":"2026-04-12","ids":{"openalex":"https://openalex.org/W7165029409","doi":"https://doi.org/10.1145/3794763.3798174"},"language":null,"primary_location":{"id":"doi:10.1145/3794763.3798174","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3794763.3798174","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 34th IEEE/ACM International Conference on Program Comprehension","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3794763.3798174","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123177131","display_name":"Nicolas Hrubec","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Nicolas Hrubec","raw_affiliation_strings":["TU Wien, Vienna, Austria"],"raw_orcid":"https://orcid.org/0009-0002-8831-8314","affiliations":[{"raw_affiliation_string":"TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5138797409","display_name":"J\u00fcrgen Cito","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"J\u00fcrgen Cito","raw_affiliation_strings":["TU Wien, Vienna, Austria"],"raw_orcid":"https://orcid.org/0000-0001-8619-1271","affiliations":[{"raw_affiliation_string":"TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69679385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"537","last_page":"546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.34700000286102295,"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/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.34700000286102295,"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/T10260","display_name":"Software Engineering Research","score":0.08959999680519104,"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"}},{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.08269999921321869,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/security-token","display_name":"Security token","score":0.7795000076293945},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.7246999740600586},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.5490000247955322},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4885999858379364},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4779999852180481},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.44359999895095825},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.37070000171661377},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.36480000615119934}],"concepts":[{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.7795000076293945},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.7246999740600586},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7172999978065491},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.5490000247955322},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4885999858379364},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4779999852180481},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.44359999895095825},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.37070000171661377},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.36480000615119934},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.35359999537467957},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.3294000029563904},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3125999867916107},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3041999936103821},{"id":"https://openalex.org/C149091818","wikidata":"https://www.wikidata.org/wiki/Q2429814","display_name":"Software system","level":3,"score":0.2906999886035919},{"id":"https://openalex.org/C2984968299","wikidata":"https://www.wikidata.org/wiki/Q1077784","display_name":"Software tool","level":3,"score":0.28299999237060547},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.26649999618530273},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.25220000743865967}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3794763.3798174","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3794763.3798174","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 34th IEEE/ACM International Conference on Program Comprehension","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2606.01326","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2606.01326","pdf_url":"https://arxiv.org/pdf/2606.01326","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3794763.3798174","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3794763.3798174","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 34th IEEE/ACM International Conference on Program Comprehension","raw_type":"proceedings-article"},"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":{"This":[0],"paper":[1],"presents":[2],"a":[3,45,67,85,125,147,155],"replication":[4],"and":[5,20,35,110],"extension":[6],"of":[7,53,61,87,150],"the":[8,17,24,51,59,76,108,151],"recently":[9],"introduced":[10],"state-in-context":[11],"agent":[12,109],"framework.":[13],"We":[14,28,82],"independently":[15],"re-implement":[16],"DirectSolve":[18],"variant":[19],"evaluate":[21],"it":[22],"on":[23,58,66,168],"SWE-bench":[25],"Verified":[26],"benchmark.":[27],"report":[29],"end-to-end":[30],"full-benchmark":[31],"results":[32],"using":[33],"GPT-5-mini":[34],"run":[36],"selected":[37],"ablations":[38],"with":[39,124],"GPT-4.1.":[40],"In":[41],"addition,":[42],"we":[43,71],"investigate":[44],"complementary":[46],"research":[47],"question:":[48],"What":[49],"is":[50,165],"impact":[52],"token-reducing":[54],"input":[55,119],"transformation":[56],"strategies":[57],"performance":[60],"software":[62],"engineering":[63],"agents?":[64],"Based":[65],"preliminary":[68],"prompt":[69],"analysis,":[70],"identify":[72],"source":[73,137],"code":[74,88,138],"as":[75],"dominant":[77],"contributor":[78],"to":[79],"token":[80,120],"consumption.":[81],"therefore":[83],"apply":[84],"series":[86],"minification":[89,116],"techniques":[90],"that":[91,115,135],"remove":[92],"or":[93],"shorten":[94],"non-essential":[95],"lexical":[96],"elements":[97],"while":[98,145],"preserving":[99],"program":[100],"semantics.":[101],"The":[102,162],"proposed":[103],"transformations":[104,139],"are":[105],"integrated":[106],"into":[107],"systematically":[111],"evaluated.":[112],"Experiments":[113],"show":[114],"reduces":[117],"average":[118],"usage":[121],"by":[122],"42%":[123],"12":[126],"percentage-point":[127],"drop":[128],"in":[129],"resolution":[130],"rate.":[131],"These":[132],"findings":[133],"demonstrate":[134],"lightweight":[136],"can":[140],"yield":[141],"substantial":[142,148],"efficiency":[143],"gains":[144],"retaining":[146],"fraction":[149],"baseline":[152],"performance,":[153],"indicating":[154],"promising":[156],"path":[157],"toward":[158],"more":[159],"cost-effective":[160],"agents.":[161],"full":[163],"implementation":[164],"publicly":[166],"available":[167],"GitHub1.":[169]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2026-06-18T00:00:00"}