{"id":"https://openalex.org/W7162104730","doi":"https://doi.org/10.1145/3786335.3813147","title":"Trace-Level Analysis of Information Contamination in Multi-Agent Systems","display_name":"Trace-Level Analysis of Information Contamination in Multi-Agent Systems","publication_year":2026,"publication_date":"2026-05-22","ids":{"openalex":"https://openalex.org/W7162104730","doi":"https://doi.org/10.1145/3786335.3813147"},"language":null,"primary_location":{"id":"doi:10.1145/3786335.3813147","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3786335.3813147","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Conference on AI and Agentic Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3786335.3813147","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134122126","display_name":"Anna Mazhar","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anna Mazhar","raw_affiliation_strings":["Cornell University, Ithaca, USA"],"raw_orcid":"https://orcid.org/0009-0002-9337-9832","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119488755","display_name":"Huzaifa Suri","orcid":"https://orcid.org/0009-0003-4571-666X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huzaifa Suri","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Champaign, USA"],"raw_orcid":"https://orcid.org/0009-0003-4571-666X","affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136808465","display_name":"Sainyam Galhotra","orcid":"https://orcid.org/0000-0003-2529-4036"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sainyam Galhotra","raw_affiliation_strings":["Cornell University, Ithaca, USA"],"raw_orcid":"https://orcid.org/0000-0003-2529-4036","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":"483","last_page":"496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.43209999799728394,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.43209999799728394,"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/T10703","display_name":"Business Process Modeling and Analysis","score":0.13439999520778656,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.0729999989271164,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7975000143051147},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.4754999876022339},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4650000035762787},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.41839998960494995},{"id":"https://openalex.org/keywords/contamination","display_name":"Contamination","score":0.376800000667572},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.3549000024795532}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7975000143051147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7224000096321106},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.4754999876022339},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4650000035762787},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.41839998960494995},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39809998869895935},{"id":"https://openalex.org/C112570922","wikidata":"https://www.wikidata.org/wiki/Q60528603","display_name":"Contamination","level":2,"score":0.376800000667572},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C206654554","wikidata":"https://www.wikidata.org/wiki/Q5374247","display_name":"Empirical measure","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.30169999599456787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2971000075340271},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C111498074","wikidata":"https://www.wikidata.org/wiki/Q173326","display_name":"Formal verification","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.26409998536109924},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3786335.3813147","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3786335.3813147","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Conference on AI and Agentic Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3786335.3813147","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3786335.3813147","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Conference on AI and Agentic Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7845597267150879}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W3035507081","https://openalex.org/W3102100346","https://openalex.org/W4389524506","https://openalex.org/W4390490761","https://openalex.org/W4393147129","https://openalex.org/W4402672016","https://openalex.org/W4402684050","https://openalex.org/W4404515031","https://openalex.org/W7125481708"],"related_works":[],"abstract_inverted_index":{"Reasoning":[0],"over":[1],"heterogeneous":[2],"artifacts":[3],"(PDFs,":[4],"spreadsheets,":[5],"slide":[6],"decks,":[7],"etc.)":[8],"increasingly":[9],"occurs":[10],"within":[11],"structured":[12,62,169],"agent":[13,182],"workflows":[14,69,103],"that":[15],"iteratively":[16],"extract,":[17],"transform,":[18],"and":[19,37,43,73,83,131,135,148,178,184,195],"reference":[20],"external":[21],"information.":[22],"In":[23],"these":[24],"workflows,":[25,170],"uncertainty":[26,55],"is":[27],"not":[28],"merely":[29],"an":[30],"input-quality":[31],"issue:":[32],"it":[33],"can":[34],"redirect":[35],"decomposition":[36],"routing":[38],"decisions,":[39],"reshape":[40],"intermediate":[41,84],"state,":[42],"produce":[44],"qualitatively":[45],"different":[46,96],"execution":[47],"trajectories.":[48],"We":[49,119,144,159],"study":[50],"this":[51],"phenomenon":[52],"by":[53],"treating":[54],"as":[56],"a":[57,101,162,172],"controlled":[58],"variable:":[59],"we":[60,99],"inject":[61],"perturbations":[63],"into":[64],"artifact-derived":[65],"representations,":[66],"execute":[67],"fixed":[68],"under":[70],"comprehensive":[71],"logging,":[72],"quantify":[74],"contamination":[75,166,180],"via":[76],"trace":[77],"divergence":[78],"in":[79,168],"plans,":[80],"tool":[81],"invocations,":[82],"state.":[85],"Across":[86],"614":[87],"paired":[88],"runs":[89],"on":[90],"32":[91],"GAIA":[92],"tasks":[93],"with":[94,129,188],"three":[95,121],"language":[97],"models,":[98],"find":[100],"decoupling:":[102],"may":[104],"diverge":[105],"substantially":[106],"yet":[107],"recover":[108],"correct":[109],"answers,":[110],"or":[111],"remain":[112],"structurally":[113],"similar":[114],"while":[115],"producing":[116],"incorrect":[117],"outputs.":[118],"characterize":[120,149],"manifestation":[122],"types:":[123],"silent":[124],"semantic":[125],"corruption,":[126],"behavioral":[127],"detours":[128],"recovery,":[130],"combined":[132],"structural":[133],"disruption":[134],"their":[136],"control-flow":[137],"signatures":[138],"(rerouting,":[139],"extended":[140],"execution,":[141],"early":[142],"termination).":[143],"measure":[145],"operational":[146],"costs":[147],"why":[150],"commonly":[151],"used":[152],"verification":[153],"guardrails":[154],"fail":[155],"to":[156],"intercept":[157],"contamination.":[158],"contribute":[160],"(i)":[161],"formal":[163],"taxonomy":[164],"of":[165],"manifestations":[167],"(ii)":[171],"trace-based":[173],"measurement":[174],"framework":[175],"for":[176,190],"detecting":[177],"localizing":[179],"across":[181],"interactions,":[183],"(iii)":[185],"empirical":[186],"evidence":[187],"implications":[189],"targeted":[191],"verification,":[192],"defensive":[193],"design,":[194],"cost":[196],"control.":[197]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-05-23T00:00:00"}
