{"id":"https://openalex.org/W7160901880","doi":"https://doi.org/10.48550/arxiv.2605.08580","title":"Slipstream: Trajectory-Grounded Compaction Validation for Long-Horizon Agents","display_name":"Slipstream: Trajectory-Grounded Compaction Validation for Long-Horizon Agents","publication_year":2026,"publication_date":"2026-05-09","ids":{"openalex":"https://openalex.org/W7160901880","doi":"https://doi.org/10.48550/arxiv.2605.08580"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.08580","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08580","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.08580","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121287998","display_name":"Zhuofu Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chen, Zhuofu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135977605","display_name":"Rui Pan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pan, Rui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103107119","display_name":"Yinwei Dai","orcid":"https://orcid.org/0000-0002-9291-2060"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dai, Yinwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135999681","display_name":"Ravi Netravali","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Netravali, Ravi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5121287998"],"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":0.24940000474452972,"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":0.24940000474452972,"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":0.2069000005722046,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.09440000355243683,"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/asynchronous-communication","display_name":"Asynchronous communication","score":0.5802000164985657},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5634999871253967},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5217000246047974},{"id":"https://openalex.org/keywords/compaction","display_name":"Compaction","score":0.5121999979019165},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48330000042915344},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4519999921321869}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7414000034332275},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.5802000164985657},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5634999871253967},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5217000246047974},{"id":"https://openalex.org/C196715460","wikidata":"https://www.wikidata.org/wiki/Q1414356","display_name":"Compaction","level":2,"score":0.5121999979019165},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48330000042915344},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4519999921321869},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.420199990272522},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3732999861240387},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.32659998536109924},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.31310001015663147},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C13687954","wikidata":"https://www.wikidata.org/wiki/Q4826847","display_name":"Autonomous agent","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2791000008583069},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27219998836517334},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2644999921321869}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.08580","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08580","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.08580","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08580","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":"article"},"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":{"To":[0],"cope":[1],"with":[2,119],"the":[3,23,31,40,58,71,84,115,124,127,131,139,149,165,169,178,183],"large":[4],"contexts":[5],"that":[6,30,106,159,174],"long-horizon":[7,192],"LLM":[8,20],"agents":[9],"produce,":[10],"modern":[11],"frameworks":[12],"increasingly":[13],"rely":[14],"on":[15,39,83,123],"compaction":[16,36,108,157],"--":[17],"invoking":[18],"an":[19],"to":[21,53,163,206,216],"rewrite":[22],"accumulated":[24],"trajectory":[25],"into":[26],"a":[27,54,144,155,161],"shorter":[28],"summary":[29,129,150,167],"agent":[32,44,72,79,121],"resumes":[33],"from.":[34],"Today,":[35],"runs":[37],"synchronously":[38],"critical":[41],"path":[42],"of":[43,67,148],"execution":[45,122],"but":[46,63,99],"this":[47,111],"can":[48],"unpredictably":[49],"degrade":[50],"accuracy":[51,203],"due":[52],"structural":[55],"validation":[56,88,145],"gap:":[57,112],"compactor":[59,116],"must":[60],"condense":[61],"context":[62],"is":[64,105],"fundamentally":[65],"unaware":[66],"precisely":[68],"what":[69],"information":[70],"will":[73],"need":[74],"later.":[75],"Further,":[76],"because":[77],"post-compaction":[78],"steps":[80,134],"are":[81,135],"conditioned":[82],"new":[85],"summary,":[86],"targeted":[87],"criteria":[89],"do":[90],"not":[91],"exist":[92],"and":[93,130,182,186,196],"errors":[94],"silently":[95],"propagate":[96],"through":[97],"coherent":[98],"incorrect":[100],"behavior.":[101],"Our":[102],"key":[103,184],"insight":[104],"asynchronous":[107],"efficiently":[109],"addresses":[110],"by":[113,204,214],"running":[114],"in":[117],"parallel":[118],"continued":[120,171],"original":[125],"context,":[126],"candidate":[128,166],"agent's":[132,170,179],"next":[133],"generated":[136],"independently":[137],"from":[138],"same":[140],"pre-compaction":[141],"state,":[142],"yielding":[143],"signal":[146],"independent":[147],"itself.":[151],"We":[152],"build":[153],"Slipstream,":[154],"trajectory-grounded":[156],"system":[158],"uses":[160],"judge":[162],"validate":[164],"against":[168],"reasoning,":[172],"checking":[173],"it":[175,188],"preserves":[176],"both":[177],"forward":[180],"intent":[181],"facts":[185],"constraints":[187],"depends":[189],"on.":[190],"Across":[191],"coding":[193],"(SWE-bench":[194],"Verified)":[195],"web-browsing":[197],"(BrowseComp)":[198],"workloads,":[199],"Slipstream":[200],"improves":[201],"task":[202],"up":[205,215],"8.8":[207],"percentage":[208],"points":[209],"while":[210],"reducing":[211],"end-to-end":[212],"latency":[213],"39.7%.":[217]},"counts_by_year":[],"updated_date":"2026-05-13T06:11:35.469786","created_date":"2026-05-13T00:00:00"}
