{"id":"https://openalex.org/W7163409726","doi":"https://doi.org/10.48550/arxiv.2606.02908","title":"WRIT: Write-Read Intensive Trajectory Synthesis for Multi-Turn User-Facing Agents","display_name":"WRIT: Write-Read Intensive Trajectory Synthesis for Multi-Turn User-Facing Agents","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7163409726","doi":"https://doi.org/10.48550/arxiv.2606.02908"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.02908","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.02908","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":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.2606.02908","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101084898","display_name":"Hengrui Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gu, Hengrui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137752031","display_name":"Xiaotian Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Xiaotian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137744046","display_name":"Kaixiong Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Kaixiong","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.4390000104904175,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.4390000104904175,"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/T10028","display_name":"Topic Modeling","score":0.25870001316070557,"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/T12031","display_name":"Speech and dialogue systems","score":0.07900000363588333,"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/writ","display_name":"Writ","score":0.7806000113487244},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6869999766349792},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6563000082969666},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6067000031471252},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6000999808311462},{"id":"https://openalex.org/keywords/executable","display_name":"Executable","score":0.5773000121116638},{"id":"https://openalex.org/keywords/complete-information","display_name":"Complete information","score":0.4943999946117401},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.48089998960494995},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.46149998903274536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8234999775886536},{"id":"https://openalex.org/C2776205810","wikidata":"https://www.wikidata.org/wiki/Q1001059","display_name":"Writ","level":2,"score":0.7806000113487244},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6869999766349792},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6563000082969666},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6067000031471252},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6000999808311462},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.5773000121116638},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.4943999946117401},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.48089998960494995},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.46149998903274536},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4399999976158142},{"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/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4196999967098236},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.3684000074863434},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34850001335144043},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.337799996137619},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33329999446868896},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3276999890804291},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.31949999928474426},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2840000092983246},{"id":"https://openalex.org/C129916263","wikidata":"https://www.wikidata.org/wiki/Q1141183","display_name":"Backward chaining","level":4,"score":0.27649998664855957},{"id":"https://openalex.org/C167729594","wikidata":"https://www.wikidata.org/wiki/Q17736","display_name":"Axiom","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.2590000033378601},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.2515999972820282},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.02908","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.02908","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":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.2606.02908","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.02908","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.7698270082473755,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multi-turn":[0],"user-facing":[1],"agents":[2,180],"must":[3,85],"infer":[4],"user":[5,32,59,154],"intent":[6],"from":[7],"incomplete":[8],"requests,":[9],"collect":[10],"missing":[11],"information":[12,196],"through":[13],"dialogue":[14],"and":[15,17,87,136,148,162,214],"tools,":[16],"execute":[18],"valid":[19],"actions.":[20],"A":[21],"training":[22,122,174],"trajectory":[23,42],"records":[24],"this":[25,107],"process":[26],"as":[27],"an":[28,168],"interleaved":[29],"sequence":[30],"of":[31,130,140,228],"messages,":[33],"agent":[34,84,121,234],"responses,":[35],"tool":[36],"calls,":[37],"etc.":[38],"Synthesizing":[39],"sufficiently":[40],"complex":[41],"has":[43],"become":[44,95],"a":[45,74,97,116,134,203],"central":[46],"route":[47],"to":[48,157,171],"train":[49,68],"agents:":[50],"existing":[51],"pipelines":[52],"often":[53],"increase":[54],"difficulty":[55],"by":[56,106],"composing":[57],"multiple":[58],"requests":[60],"into":[61,232],"longer":[62,184],"tasks,":[63],"producing":[64],"write-intensive":[65,100,147],"trajectories":[66,123],"that":[67,73,99,221],"sequential":[69],"execution.":[70],"We":[71],"argue":[72],"single":[75],"write":[76,131],"decision":[77,192],"can":[78,225],"itself":[79],"be":[80],"difficult":[81],"when":[82],"the":[83,128,137],"gather":[86],"compare":[88],"substantial":[89],"read-tool":[90],"evidence":[91,138],"before":[92],"its":[93],"arguments":[94],"identifiable,":[96],"challenge":[98],"data":[101,178,224],"alone":[102],"cannot":[103],"address.":[104],"Guided":[105],"insight,":[108],"we":[109],"propose":[110],"WRIT":[111,144,208],"(\\uline{W}rite-\\uline{R}ead":[112],"\\uline{I}ntensive":[113],"\\uline{T}rajectory":[114],"Synthesis),":[115],"pipeline":[117],"for":[118,183,189],"synthesizing":[119],"multi-turn":[120],"along":[124],"two":[125],"complexity":[126],"axes:":[127],"number":[129],"decisions":[132],"in":[133,167],"task":[135,185],"burden":[139],"each":[141],"individual":[142],"decision.":[143],"first":[145],"generates":[146],"read-heavy":[149],"tasks.":[150],"It":[151],"then":[152],"diversifies":[153],"behavior":[155],"instructions":[156],"reflect":[158],"realistic":[159],"conversational":[160],"variation,":[161],"finally":[163],"simulates":[164],"agent-user":[165],"interactions":[166],"executable":[169],"environment":[170],"produce":[172],"complete":[173],"trajectories.":[175],"The":[176],"resulting":[177],"trains":[179],"not":[181],"only":[182,199],"execution,":[186],"but":[187],"also":[188],"robust,":[190],"evidence-grounded":[191],"making":[193],"under":[194],"high":[195],"load.":[197],"With":[198],"2K":[200],"synthesized":[201],"trajectories,":[202],"4B":[204],"model":[205],"trained":[206],"on":[207,212],"outperforms":[209],"GPT-5.1":[210],"no-think":[211],"$\u03c4^2$-bench":[213],"substantially":[215],"reduces":[216],"inference-time":[217],"token":[218],"usage,":[219],"showing":[220],"compact":[222],"SFT":[223],"convert":[226],"part":[227],"expensive":[229],"test-time":[230],"reasoning":[231],"efficient":[233],"behavior.":[235]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-04T00:00:00"}