{"id":"https://openalex.org/W7156840681","doi":"https://doi.org/10.48550/arxiv.2604.23069","title":"ContextWeaver: Selective and Dependency-Structured Memory Construction for LLM Agents","display_name":"ContextWeaver: Selective and Dependency-Structured Memory Construction for LLM Agents","publication_year":2026,"publication_date":"2026-04-24","ids":{"openalex":"https://openalex.org/W7156840681","doi":"https://doi.org/10.48550/arxiv.2604.23069"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.23069","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.23069","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.23069","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010727771","display_name":"Yating Wu","orcid":"https://orcid.org/0000-0001-9280-7669"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wu, Yating","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134782447","display_name":"Yuhao Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yuhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134768734","display_name":"Sayan Ghosh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ghosh, Sayan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017389731","display_name":"Sourya Basu","orcid":"https://orcid.org/0000-0003-4064-4540"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Basu, Sourya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000621526","display_name":"Anoop Deoras","orcid":"https://orcid.org/0009-0007-4566-8767"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deoras, Anoop","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134769543","display_name":"Jun Huan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huan, Jun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134785550","display_name":"Gaurav Gupta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gupta, Gaurav","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5010727771"],"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":0.26170000433921814,"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":0.26170000433921814,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.20800000429153442,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.04809999838471413,"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/context","display_name":"Context (archaeology)","score":0.5108000040054321},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4867999851703644},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.47780001163482666},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.4586000144481659},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.41749998927116394},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.4016999900341034},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.3828999996185303},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.37689998745918274}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8235999941825867},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5108000040054321},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4867999851703644},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.47780001163482666},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.4586000144481659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4348999857902527},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.41749998927116394},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.4016999900341034},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.3828999996185303},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.37689998745918274},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.37040001153945923},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.32440000772476196},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3012999892234802},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.29679998755455017},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.27709999680519104},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.26840001344680786},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.26420000195503235},{"id":"https://openalex.org/C96333769","wikidata":"https://www.wikidata.org/wiki/Q907955","display_name":"Graph traversal","level":3,"score":0.26179999113082886},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.23069","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.23069","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.23069","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.23069","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":"article"},"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":{"Large":[0],"language":[1],"model":[2],"(LLM)":[3],"agents":[4,169],"often":[5],"struggle":[6],"in":[7,144],"long-context":[8],"interactions.":[9],"As":[10],"the":[11,47,79,102,131],"agent":[12],"accumulates":[13],"more":[14],"interaction":[15,69],"history,":[16],"context":[17,81,87],"management":[18,88],"approaches":[19],"such":[20],"as":[21],"sliding":[22],"window":[23],"and":[24,49,61,77,95,120,134,150,163],"prompt":[25],"compression":[26],"may":[27],"omit":[28],"earlier":[29,103],"structured":[30],"information":[31],"that":[32,65,97,112,126,156,170],"later":[33],"steps":[34,76,104,149],"rely":[35],"on.":[36],"Recent":[37],"retrieval-based":[38],"memory":[39,63,165],"systems":[40],"surface":[41],"relevant":[42,80],"content":[43],"but":[44],"still":[45],"overlook":[46],"causal":[48],"logical":[50,158],"structure":[51],"needed":[52],"for":[53,82,167],"multi-step":[54],"reasoning.":[55],"We":[56],"introduce":[57],"ContextWeaver,":[58],"a":[59,72,122,141,161],"selective":[60],"dependency-structured":[62],"framework":[64],"organizes":[66],"an":[67],"agent's":[68],"trace":[70],"into":[71,117],"graph":[73],"of":[74],"reasoning":[75,115,148],"selects":[78],"future":[83],"actions.":[84],"Unlike":[85],"prior":[86],"approaches,":[89],"ContextWeaver":[90,137],"supports:":[91],"(1)":[92],"dependency-based":[93],"construction":[94],"traversal":[96],"link":[98],"each":[99],"step":[100],"to":[101],"it":[105],"relies":[106],"on;":[107],"(2)":[108],"compact":[109],"dependency":[110],"summarization":[111],"condenses":[113],"root-to-step":[114],"paths":[116],"reusable":[118],"units;":[119],"(3)":[121],"lightweight":[123],"validation":[124],"layer":[125],"incorporates":[127],"execution":[128],"feedback.":[129],"On":[130],"SWE-Bench":[132],"Verified":[133],"Lite":[135],"benchmarks,":[136],"improves":[138],"performance":[139],"over":[140],"sliding-window":[142],"baseline":[143],"pass@1,":[145],"while":[146],"reducing":[147],"token":[151],"usage.":[152],"Our":[153],"observations":[154],"suggest":[155],"modeling":[157],"dependencies":[159],"provides":[160],"stable":[162],"scalable":[164],"mechanism":[166],"LLM":[168],"use":[171],"tools.":[172]},"counts_by_year":[],"updated_date":"2026-04-29T06:16:36.941037","created_date":"2026-04-29T00:00:00"}