{"id":"https://openalex.org/W7140188138","doi":"https://doi.org/10.48550/arxiv.2603.20432","title":"Coding Agents are Effective Long-Context Processors","display_name":"Coding Agents are Effective Long-Context Processors","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W7140188138","doi":"https://doi.org/10.48550/arxiv.2603.20432"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.20432","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20432","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.2603.20432","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Cao, Weili","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Weili","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Yin, Xunjian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Xunjian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Dhingra, Bhuwan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dhingra, Bhuwan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Zhou, Shuyan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Shuyan","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/T10028","display_name":"Topic Modeling","score":0.2906999886035919,"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/T10028","display_name":"Topic Modeling","score":0.2906999886035919,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.06880000233650208,"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"}},{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.06400000303983688,"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/executable","display_name":"Executable","score":0.7265999913215637},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5684999823570251},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5054000020027161},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.37049999833106995},{"id":"https://openalex.org/keywords/text-processing","display_name":"Text processing","score":0.3479999899864197},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.32510000467300415},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.30250000953674316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8342000246047974},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.7265999913215637},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5684999823570251},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5054000020027161},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3882000148296356},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.37049999833106995},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3628000020980835},{"id":"https://openalex.org/C2779500292","wikidata":"https://www.wikidata.org/wiki/Q14802672","display_name":"Text processing","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.32510000467300415},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3012000024318695},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2969000041484833},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.28940001130104065},{"id":"https://openalex.org/C154690210","wikidata":"https://www.wikidata.org/wiki/Q1668499","display_name":"Rewriting","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C53833338","wikidata":"https://www.wikidata.org/wiki/Q1061424","display_name":"Context switch","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.20432","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20432","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.2603.20432","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20432","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":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.49654945731163025}],"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],"Models":[2],"(LLMs)":[3],"have":[4],"demonstrated":[5],"remarkable":[6],"progress":[7],"in":[8,66,191],"scaling":[9],"to":[10,28,63,107,127,137,156,171,178],"access":[11,16],"massive":[12,158],"contexts.":[13],"However,":[14],"the":[15,19,83],"is":[17],"via":[18],"latent":[20,53],"and":[21,25,69,98,141,149],"uninterpretable":[22],"attention":[23,54],"mechanisms,":[24],"LLMs":[26],"fail":[27],"effective":[29,176],"process":[30],"long":[31,91],"context,":[32],"exhibiting":[33],"significant":[34],"performance":[35],"degradation":[36],"as":[37,82,161],"context":[38,182],"length":[39],"increases.":[40],"In":[41],"this":[42,125],"work,":[43],"we":[44],"study":[45],"whether":[46],"long-context":[47,94,169,189],"processing":[48,90,170,190],"can":[49],"be":[50],"externalized":[51],"from":[52],"into":[55],"explicit,":[56],"executable":[57,139],"interactions,":[58],"by":[59,119],"allowing":[60],"coding":[61,80,172],"agents":[62,81,115,136,173],"organize":[64],"text":[65,159],"file":[67,150],"systems":[68],"manipulate":[70],"it":[71],"using":[72],"its":[73],"native":[74,131],"tools.":[75],"We":[76,123],"evaluate":[77],"off-the-shelf":[78],"frontier":[79],"general":[84],"interface":[85],"for":[86,188],"tasks":[87],"that":[88,167],"require":[89],"contexts,":[92],"including":[93],"reasoning,":[95],"retrieval-augmented":[96],"generation,":[97],"open-domain":[99],"question":[100],"answering":[101],"with":[102],"large-scale":[103],"corpus":[104],"contains":[105],"up":[106],"three":[108],"trillion":[109],"tokens.":[110],"Across":[111],"multiple":[112],"benchmarks,":[113],"these":[114],"outperform":[116],"published":[117],"state-of-the-art":[118],"17.3%":[120],"on":[121],"average.":[122],"attribute":[124],"efficacy":[126],"two":[128],"key":[129],"factors:":[130],"tool":[132],"proficiency,":[133],"which":[134,153],"enables":[135],"leverage":[138],"code":[140],"terminal":[142],"commands":[143],"rather":[144],"than":[145],"passive":[146],"semantic":[147,179],"queries,":[148],"system":[151],"familiarity,":[152],"allows":[154],"them":[155],"navigate":[157],"corpora":[160],"directory":[162],"structures.":[163],"These":[164],"findings":[165],"suggest":[166],"delegating":[168],"offers":[174],"an":[175],"alternative":[177],"search":[180],"or":[181],"window":[183],"scaling,":[184],"opening":[185],"new":[186],"directions":[187],"LLMs.":[192]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-25T00:00:00"}
