{"id":"https://openalex.org/W7162553641","doi":"https://doi.org/10.48550/arxiv.2605.27157","title":"Detecting Is Not Resolving: The Monitoring Control Gap in Retrieval Augmented LLMs","display_name":"Detecting Is Not Resolving: The Monitoring Control Gap in Retrieval Augmented LLMs","publication_year":2026,"publication_date":"2026-05-26","ids":{"openalex":"https://openalex.org/W7162553641","doi":"https://doi.org/10.48550/arxiv.2605.27157"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.27157","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.27157","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.2605.27157","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137104654","display_name":"Zhe Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Zhe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137182886","display_name":"Wenpeng Xing","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xing, Wenpeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396649","display_name":"Chen Ye","orcid":"https://orcid.org/0000-0002-6016-4336"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137135157","display_name":"Xuyang Teng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Teng, Xuyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137176516","display_name":"Bo Yang","orcid":"https://orcid.org/0009-0002-8331-7291"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Bo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137144246","display_name":"Changting Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Changting","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137134380","display_name":"Meng Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Meng","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/T10028","display_name":"Topic Modeling","score":0.6011999845504761,"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":0.6011999845504761,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.1265999972820282,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.06369999796152115,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6952999830245972},{"id":"https://openalex.org/keywords/acknowledgement","display_name":"Acknowledgement","score":0.6010000109672546},{"id":"https://openalex.org/keywords/contradiction","display_name":"Contradiction","score":0.42559999227523804},{"id":"https://openalex.org/keywords/formalism","display_name":"Formalism (music)","score":0.3865000009536743},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.38029998540878296},{"id":"https://openalex.org/keywords/uncorrelated","display_name":"Uncorrelated","score":0.3587999939918518},{"id":"https://openalex.org/keywords/information-gap","display_name":"Information gap","score":0.321399986743927}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6952999830245972},{"id":"https://openalex.org/C2777880217","wikidata":"https://www.wikidata.org/wiki/Q4674282","display_name":"Acknowledgement","level":2,"score":0.6010000109672546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5625},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.47690001130104065},{"id":"https://openalex.org/C2776728590","wikidata":"https://www.wikidata.org/wiki/Q363948","display_name":"Contradiction","level":2,"score":0.42559999227523804},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.3865000009536743},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.38029998540878296},{"id":"https://openalex.org/C169345407","wikidata":"https://www.wikidata.org/wiki/Q8216221","display_name":"Uncorrelated","level":2,"score":0.3587999939918518},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.35109999775886536},{"id":"https://openalex.org/C2993006568","wikidata":"https://www.wikidata.org/wiki/Q6031094","display_name":"Information gap","level":3,"score":0.321399986743927},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C88629717","wikidata":"https://www.wikidata.org/wiki/Q17056323","display_name":"Information bias","level":3,"score":0.3041999936103821},{"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/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2944999933242798},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C191399111","wikidata":"https://www.wikidata.org/wiki/Q64861","display_name":"Transitive relation","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.25270000100135803},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.27157","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.27157","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.2605.27157","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.27157","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5231375098228455}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Retrieval-augmented":[0],"LLMs":[1],"are":[2],"deployed":[3],"for":[4],"tasks":[5],"where":[6],"evidence":[7,22,112],"quality":[8],"determines":[9],"action":[10,124],"safety,":[11,87],"yet":[12,43,146],"evaluation":[13],"protocols":[14],"assume":[15],"that":[16,81,88,104],"single-turn":[17,82],"robustness":[18,20],"predicts":[19],"when":[21],"accumulates":[23],"across":[24,68],"turns.":[25],"We":[26],"show":[27],"this":[28,44],"assumption":[29],"is":[30,91,136],"fundamentally":[31],"incorrect.":[32],"Models":[33],"exhibit":[34],"a":[35,63,96],"monitoring-control":[36],"gap:":[37],"they":[38,160],"readily":[39],"acknowledge":[40],"contradictory":[41],"evidence,":[42],"awareness":[45],"fails":[46,147],"to":[47,123,148],"constrain":[48,149],"their":[49],"final":[50],"recommendations":[51],"-":[52,113,121],"detecting":[53],"epistemic":[54],"conflict":[55],"does":[56],"not":[57],"imply":[58],"resolving":[59],"it":[60],"safely.":[61],"Through":[62],"multi-turn":[64],"document":[65],"accumulation":[66],"protocol":[67],"four":[69],"model":[70],"families":[71],"(1.5B-32B":[72],"parameters)":[73],"and":[74,103,118,139,158,165],"over":[75],"50,000":[76],"turn-level":[77],"evaluations,":[78],"we":[79],"demonstrate":[80],"diagnostics":[83],"systematically":[84],"overestimate":[85],"RAG":[86],"contradiction":[89],"acknowledgement":[90],"uncorrelated":[92],"with":[93],"safe":[94],"resolution,":[95],"pattern":[97],"corroborated":[98],"by":[99],"targeted":[100],"human":[101],"validation,":[102],"no":[105],"universal":[106],"prompt":[107],"fix":[108],"exists.":[109],"Converging":[110],"mechanism":[111],"hidden-state":[114],"probing,":[115],"attention":[116,142],"analysis,":[117],"response-strategy":[119],"taxonomy":[120],"points":[122],"selection":[125],"as":[126],"the":[127,132],"most":[128],"plausible":[129],"locus":[130],"of":[131],"deficit:":[133],"danger-relevant":[134],"information":[135],"internally":[137],"represented":[138],"receives":[140],"enhanced":[141],"during":[143],"unsafe":[144],"generation,":[145],"output":[150],"behavior.":[151],"The":[152],"gap":[153],"between":[154],"what":[155,159],"models":[156],"recognize":[157],"do":[161],"must":[162],"be":[163,171],"measured":[164],"closed":[166],"before":[167],"retrieval-augmented":[168],"systems":[169],"can":[170],"trusted":[172],"in":[173],"high-stakes":[174],"settings.":[175]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-28T00:00:00"}