{"id":"https://openalex.org/W7143346174","doi":"https://doi.org/10.48550/arxiv.2603.26664","title":"Learning to Commit: Generating Organic Pull Requests via Online Repository Memory","display_name":"Learning to Commit: Generating Organic Pull Requests via Online Repository Memory","publication_year":2026,"publication_date":"2026-03-27","ids":{"openalex":"https://openalex.org/W7143346174","doi":"https://doi.org/10.48550/arxiv.2603.26664"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.26664","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.26664","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.2603.26664","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130963056","display_name":"Mo Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Mo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130983227","display_name":"L. H. Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, L. H.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130978604","display_name":"Qitai Tan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tan, Qitai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061455084","display_name":"Ting Cao","orcid":"https://orcid.org/0000-0003-1300-6084"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Ting","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5102880548","display_name":"Yunxin Liu","orcid":"https://orcid.org/0000-0001-7352-8955"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yunxin","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":0.45660001039505005,"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":0.45660001039505005,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.043299999088048935,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.03359999880194664,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.6392999887466431},{"id":"https://openalex.org/keywords/commit","display_name":"Commit","score":0.6003999710083008},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.5120999813079834},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5095000267028809},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.45399999618530273},{"id":"https://openalex.org/keywords/debugging","display_name":"Debugging","score":0.375900000333786},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.373199999332428},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.3361000120639801}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7991999983787537},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.6392999887466431},{"id":"https://openalex.org/C153180980","wikidata":"https://www.wikidata.org/wiki/Q19776675","display_name":"Commit","level":2,"score":0.6003999710083008},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.5120999813079834},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5095000267028809},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.45399999618530273},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.375900000333786},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.373199999332428},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.3361000120639801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32260000705718994},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.32089999318122864},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C2778583558","wikidata":"https://www.wikidata.org/wiki/Q771245","display_name":"Code reuse","level":3,"score":0.29760000109672546},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2944999933242798},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2939999997615814},{"id":"https://openalex.org/C84945661","wikidata":"https://www.wikidata.org/wiki/Q7366567","display_name":"Root cause","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.27630001306533813},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2754000127315521},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2590999901294708}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.26664","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.26664","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.2603.26664","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.26664","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":[{"score":0.6890559196472168,"display_name":"Quality Education","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":{"Large":[0],"language":[1],"model":[2],"(LLM)-based":[3],"coding":[4,148],"agents":[5],"achieve":[6],"impressive":[7],"results":[8],"on":[9,117,167,187,220,237],"controlled":[10],"benchmarks":[11],"yet":[12],"routinely":[13],"produce":[14],"pull":[15,191],"requests":[16,192],"that":[17,84,95,193,229],"real":[18],"maintainers":[19],"reject.":[20],"The":[21],"root":[22],"cause":[23],"is":[24,64,185],"not":[25,65,77,195],"functional":[26,208],"incorrectness":[27],"but":[28,76],"a":[29,93,104,107,140,157],"lack":[30],"of":[31,53,73,144],"organicity:":[32],"generated":[33],"code":[34],"ignores":[35],"project-specific":[36],"conventions,":[37],"duplicates":[38],"functionality":[39],"already":[40],"provided":[41],"by":[42,82],"internal":[43,150,212],"APIs,":[44],"and":[45,135,153,203,216],"violates":[46],"implicit":[47],"architectural":[48,154],"constraints":[49],"accumulated":[50,169],"over":[51],"years":[52],"development.":[54],"Simply":[55],"exposing":[56],"an":[57,221],"agent":[58,112,163],"to":[59,91,123],"the":[60,67,70,74,78,111,132,137,162,175,200],"latest":[61],"repository":[62,105,223],"snapshot":[63,68],"enough:":[66],"reveals":[69],"final":[71],"state":[72,85],"codebase,":[75],"repository-specific":[79],"change":[80],"patterns":[81,146],"which":[83],"was":[86],"reached.":[87],"We":[88],"introduce":[89],"Learning":[90],"Commit,":[92],"framework":[94],"closes":[96],"this":[97],"gap":[98,138],"through":[99],"Online":[100,230],"Repository":[101,231],"Memory.":[102],"Given":[103],"with":[106,224],"strict":[108],"chronological":[109],"split,":[110],"performs":[113],"supervised":[114],"contrastive":[115],"reflection":[116],"earlier":[118],"commits:":[119],"it":[120],"blindly":[121],"attempts":[122],"resolve":[124],"each":[125],"historical":[126],"issue,":[127],"compares":[128],"its":[129,165],"prediction":[130],"against":[131],"oracle":[133],"diff,":[134],"distils":[136],"into":[139],"continuously":[141],"growing":[142],"set":[143],"skills-reusable":[145],"capturing":[147],"style,":[149],"API":[151,213],"usage,":[152],"invariants.":[155],"When":[156],"new":[158],"PR":[159],"description":[160],"arrives,":[161],"conditions":[164],"generation":[166],"these":[168],"skills,":[170],"producing":[171],"changes":[172],"grounded":[173],"in":[174],"project's":[176],"own":[177],"evolution":[178],"rather":[179],"than":[180],"generic":[181],"pretraining":[182],"priors.":[183],"Evaluation":[184],"conducted":[186],"genuinely":[188],"future,":[189],"merged":[190],"could":[194],"have":[196],"been":[197],"seen":[198],"during":[199],"skill-building":[201],"phase,":[202],"spans":[204],"multiple":[205],"dimensions":[206],"including":[207],"correctness,":[209],"code-style":[210],"consistency,":[211],"reuse":[214],"rate,":[215],"modified-region":[217],"plausibility.":[218],"Experiments":[219],"expert-maintained":[222],"rich":[225],"commit":[226],"history":[227],"show":[228],"Memory":[232],"effectively":[233],"improves":[234],"organicity":[235],"scores":[236],"held-out":[238],"future":[239],"tasks.":[240]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-31T00:00:00"}
