{"id":"https://openalex.org/W7164808476","doi":"https://doi.org/10.48550/arxiv.2606.14672","title":"Towards Direct Latent-Space Synthesis for Parallel Branches in LLM-Agent Workflows","display_name":"Towards Direct Latent-Space Synthesis for Parallel Branches in LLM-Agent Workflows","publication_year":2026,"publication_date":"2026-06-12","ids":{"openalex":"https://openalex.org/W7164808476","doi":"https://doi.org/10.48550/arxiv.2606.14672"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.14672","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14672","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.2606.14672","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103870133","display_name":"Liu S","orcid":"https://orcid.org/0000-0001-7255-0982"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Shikun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138685877","display_name":"Mufei Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Mufei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138685312","display_name":"Dongqi Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Dongqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138643582","display_name":"Haoyu Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Haoyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138627696","display_name":"Yinglong Xia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xia, Yinglong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138639565","display_name":"Hong Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Hong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138632709","display_name":"Hong Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan, Hong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138665887","display_name":"Pan Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Pan","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/T10181","display_name":"Natural Language Processing Techniques","score":0.09719999879598618,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.09719999879598618,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.07919999957084656,"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/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.06019999831914902,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/cache","display_name":"Cache","score":0.7188000082969666},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.5879999995231628},{"id":"https://openalex.org/keywords/adapter","display_name":"Adapter (computing)","score":0.4991999864578247},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.47350001335144043},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.39719998836517334},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.33379998803138733},{"id":"https://openalex.org/keywords/cache-coherence","display_name":"Cache coherence","score":0.3199999928474426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8723999857902527},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.7188000082969666},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.5879999995231628},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5461000204086304},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.4991999864578247},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.47350001335144043},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.39719998836517334},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.33379998803138733},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3310000002384186},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3278000056743622},{"id":"https://openalex.org/C141917322","wikidata":"https://www.wikidata.org/wiki/Q1025017","display_name":"Cache coherence","level":5,"score":0.3199999928474426},{"id":"https://openalex.org/C2776834041","wikidata":"https://www.wikidata.org/wiki/Q25346349","display_name":"Execution model","level":2,"score":0.31450000405311584},{"id":"https://openalex.org/C133162039","wikidata":"https://www.wikidata.org/wiki/Q1061077","display_name":"Code generation","level":3,"score":0.30059999227523804},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C189783530","wikidata":"https://www.wikidata.org/wiki/Q352090","display_name":"CPU cache","level":3,"score":0.263700008392334},{"id":"https://openalex.org/C201410400","wikidata":"https://www.wikidata.org/wiki/Q1064412","display_name":"Multithreading","level":3,"score":0.260699987411499},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.25529998540878296}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.14672","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14672","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.2606.14672","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14672","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":[],"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],"increasingly":[3],"serve":[4],"as":[5],"execution":[6],"engines":[7],"for":[8,188],"agentic":[9],"systems,":[10],"yet":[11],"they":[12],"still":[13],"consume":[14,83],"context":[15],"through":[16],"a":[17,23,43,74,79,94,104,185],"sequential":[18],"text":[19],"interface.":[20,115],"This":[21],"creates":[22],"mismatch":[24],"with":[25,103],"modern":[26],"structured":[27],"agent":[28,196],"workflows,":[29],"in":[30],"which":[31,58],"independent":[32],"branches":[33,52],"explore":[34],"subtasks,":[35],"retrieve":[36],"evidence,":[37],"or":[38,159],"generate":[39],"candidate":[40],"solutions":[41],"before":[42],"final":[44],"synthesis":[45,162,183,193],"step.":[46],"Existing":[47],"systems":[48],"typically":[49],"merge":[50],"these":[51],"by":[53,88,177],"concatenating":[54],"their":[55],"textual":[56],"outputs,":[57],"discards":[59],"the":[60,84,123,170],"parallel":[61,89,126,195],"structure":[62],"and":[63,134,153,166,191],"incurs":[64],"redundant":[65],"prefill":[66],"computation.":[67],"In":[68],"this":[69,112],"work,":[70],"we":[71],"introduce":[72],"Parallel-Synthesis,":[73],"plug-and-play":[75],"framework":[76],"that":[77,97,108,121,180],"enables":[78,109],"synthesizer":[80,106,124],"to":[81,125],"directly":[82],"KV":[85],"caches":[86,102],"produced":[87],"worker":[90],"agents.":[91],"Parallel-Synthesis":[92,118,157],"combines":[93],"cache":[95,114,127],"mapper":[96],"calibrates":[98],"independently":[99],"generated":[100],"branch":[101],"fine-tuned":[105],"adapter":[107],"generation":[110],"from":[111,138],"non-sequential":[113],"We":[116],"train":[117],"using":[119],"data":[120],"exposes":[122],"contexts,":[128],"teaches":[129],"aggregation":[130],"across":[131],"cached":[132],"branches,":[133],"distills":[135],"reasoning":[136],"behavior":[137],"standard":[139],"text-concatenation-based":[140],"synthesis.":[141],"Across":[142],"nine":[143],"downstream":[144],"datasets":[145,165],"spanning":[146],"math,":[147],"science":[148],"QA,":[149],"code":[150],"generation,":[151],"GAIA,":[152],"multi-agent":[154],"database":[155],"diagnosis,":[156],"matches":[158],"outperforms":[160],"text-based":[161],"on":[163,169],"seven":[164],"remains":[167],"close":[168],"other":[171],"two.":[172],"It":[173],"also":[174],"reduces":[175],"time-to-first-token":[176],"2.5x-11x,":[178],"suggesting":[179],"direct":[181],"cache-based":[182],"is":[184],"promising":[186],"interface":[187],"more":[189],"native":[190],"efficient":[192],"over":[194],"branches.":[197]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-16T00:00:00"}