{"id":"https://openalex.org/W7171709386","doi":"https://doi.org/10.48550/arxiv.2607.25996","title":"RepoReasoner: Evaluating Repository-Level Code Reasoning Ability of Long-Context Language Models","display_name":"RepoReasoner: Evaluating Repository-Level Code Reasoning Ability of Long-Context Language Models","publication_year":2026,"publication_date":"2026-07-28","ids":{"openalex":"https://openalex.org/W7171709386","doi":"https://doi.org/10.48550/arxiv.2607.25996"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.25996","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.25996","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.2607.25996","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5143960884","display_name":"Yanlin Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yanlin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139676334","display_name":"Suiquan Wang","orcid":"https://orcid.org/0009-0006-2446-1372"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Suiquan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143885784","display_name":"Yanli Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yanli","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143890624","display_name":"Bowen Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Bowen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060364305","display_name":"Daya Guo","orcid":"https://orcid.org/0009-0008-0822-1517"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Daya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143893626","display_name":"Jiachi Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Jiachi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5143899691","display_name":"Zibin Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Zibin","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/T10260","display_name":"Software Engineering Research","score":0.8306999802589417,"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"}},"topics":[{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.8306999802589417,"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":0.10830000042915344,"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"}},{"id":"https://openalex.org/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.00800000037997961,"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/dependency","display_name":"Dependency (UML)","score":0.6039000153541565},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5557000041007996},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.5271000266075134},{"id":"https://openalex.org/keywords/rewriting","display_name":"Rewriting","score":0.45500001311302185},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.4311000108718872},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.41290000081062317},{"id":"https://openalex.org/keywords/automated-reasoning","display_name":"Automated reasoning","score":0.3921999931335449},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.3921999931335449}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8292999863624573},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6039000153541565},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.5831999778747559},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5557000041007996},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.5271000266075134},{"id":"https://openalex.org/C154690210","wikidata":"https://www.wikidata.org/wiki/Q1668499","display_name":"Rewriting","level":2,"score":0.45500001311302185},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.4311000108718872},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4198000133037567},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.41290000081062317},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3921999931335449},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.3921999931335449},{"id":"https://openalex.org/C22927095","wikidata":"https://www.wikidata.org/wiki/Q1784206","display_name":"Stateful firewall","level":3,"score":0.3707999885082245},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.36419999599456787},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.33480000495910645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29809999465942383},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2948000133037567},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C9616225","wikidata":"https://www.wikidata.org/wiki/Q3929429","display_name":"Semantic reasoner","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28600001335144043},{"id":"https://openalex.org/C37335422","wikidata":"https://www.wikidata.org/wiki/Q6888134","display_name":"Model-based reasoning","level":3,"score":0.27570000290870667},{"id":"https://openalex.org/C128099668","wikidata":"https://www.wikidata.org/wiki/Q573952","display_name":"Lazy evaluation","level":3,"score":0.2678000032901764},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2635999917984009},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.25996","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.25996","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.2607.25996","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.25996","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"large":[1],"language":[2],"models":[3,145],"(LLMs)":[4],"have":[5],"shown":[6],"strong":[7],"performance":[8,158],"on":[9,130,160,166,193],"software":[10],"engineering":[11],"tasks,":[12],"yet":[13],"most":[14],"existing":[15],"benchmarks":[16],"evaluate":[17,115],"code":[18,55],"reasoning":[19,39,69,136,188],"at":[20],"the":[21,123],"function":[22],"level,":[23],"where":[24],"all":[25],"relevant":[26],"information":[27],"is":[28,87],"localized.":[29],"This":[30],"setting":[31],"fails":[32],"to":[33,100,110,177],"reflect":[34],"real-world":[35],"development,":[36],"which":[37,64,76],"requires":[38],"across":[40,70],"multiple":[41],"files":[42],"and":[43,72,168,189,197],"complex":[44],"dependency":[45,80,155],"structures.":[46],"We":[47,114],"introduce":[48],"RepoReasoner,":[49],"a":[50,90,138],"benchmark":[51,86],"for":[52],"evaluating":[53],"repository-level":[54,187],"reasoning.":[56],"It":[57],"assesses":[58],"two":[59],"complementary":[60],"abilities:":[61],"Output":[62,131],"Prediction,":[63,75,132,144],"measures":[65],"fine-grained,":[66],"stateful":[67],"execution":[68],"files,":[71],"Call":[73,142],"Chain":[74,143],"evaluates":[77],"high-level":[78],"architectural":[79,195],"understanding":[81,196],"under":[82,120],"noisy":[83],"context.":[84],"Our":[85],"constructed":[88],"through":[89],"multi-stage":[91],"pipeline":[92],"that":[93,134],"leverages":[94],"dynamic":[95],"tracing":[96],"of":[97],"pytest":[98],"executions":[99],"obtain":[101],"ground-truth":[102],"call":[103],"chains,":[104],"along":[105],"with":[106],"LLM-based":[107],"I/O":[108],"rewriting":[109],"reduce":[111],"memorization":[112],"effects.":[113],"seven":[116],"state-of-the-art":[117],"LLMs.":[118],"Even":[119],"oracle":[121],"context,":[122],"best-performing":[124],"model":[125],"achieves":[126],"only":[127],"69.1%":[128],"Pass@1":[129],"indicating":[133],"cross-file":[135,198],"remains":[137],"major":[139],"challenge.":[140],"In":[141],"exhibit":[146],"high":[147],"precision":[148],"but":[149],"low":[150],"recall,":[151],"suggesting":[152],"limited":[153],"multi-hop":[154],"understanding.":[156],"Furthermore,":[157],"drops":[159],"rewritten":[161],"data":[162],"reveal":[163],"partial":[164],"reliance":[165],"memorization,":[167],"longer":[169],"contexts":[170],"do":[171],"not":[172],"consistently":[173],"improve":[174],"results":[175],"due":[176],"noise.":[178],"These":[179],"findings":[180],"highlight":[181],"fundamental":[182],"limitations":[183],"in":[184],"current":[185],"LLMs'":[186],"motivate":[190],"future":[191],"work":[192],"structured":[194],"inference.":[199]},"counts_by_year":[],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2026-07-30T00:00:00"}
