{"id":"https://openalex.org/W7162399421","doi":"https://doi.org/10.48550/arxiv.2605.23932","title":"When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure","display_name":"When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure","publication_year":2026,"publication_date":"2026-04-23","ids":{"openalex":"https://openalex.org/W7162399421","doi":"https://doi.org/10.48550/arxiv.2605.23932"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.23932","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23932","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2605.23932","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110975219","display_name":"Boyu Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Boyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113421433","display_name":"Xiuqi Tian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Xiuqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137019112","display_name":"Xuwen Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Xuwen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137042966","display_name":"Haochun Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Haochun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137006168","display_name":"Guanchun Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Guanchun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137017626","display_name":"Sendong Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Sendong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137076719","display_name":"Bing Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin, Bing","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":0.5382999777793884,"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":0.5382999777793884,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.06109999865293503,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.060499999672174454,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/psychological-resilience","display_name":"Psychological resilience","score":0.4999000132083893},{"id":"https://openalex.org/keywords/resistance","display_name":"Resistance (ecology)","score":0.46399998664855957},{"id":"https://openalex.org/keywords/frontier","display_name":"Frontier","score":0.42489999532699585},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4187999963760376},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.37310001254081726},{"id":"https://openalex.org/keywords/dissociation","display_name":"Dissociation (chemistry)","score":0.33340001106262207},{"id":"https://openalex.org/keywords/belief-system","display_name":"Belief system","score":0.3328999876976013}],"concepts":[{"id":"https://openalex.org/C137176749","wikidata":"https://www.wikidata.org/wiki/Q4105337","display_name":"Psychological resilience","level":2,"score":0.4999000132083893},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.49320000410079956},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.492900013923645},{"id":"https://openalex.org/C57473165","wikidata":"https://www.wikidata.org/wiki/Q7315604","display_name":"Resistance (ecology)","level":2,"score":0.46399998664855957},{"id":"https://openalex.org/C2778571376","wikidata":"https://www.wikidata.org/wiki/Q1355821","display_name":"Frontier","level":2,"score":0.42489999532699585},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4187999963760376},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.39719998836517334},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.37310001254081726},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.3393000066280365},{"id":"https://openalex.org/C102931765","wikidata":"https://www.wikidata.org/wiki/Q189673","display_name":"Dissociation (chemistry)","level":2,"score":0.33340001106262207},{"id":"https://openalex.org/C2994474205","wikidata":"https://www.wikidata.org/wiki/Q34394","display_name":"Belief system","level":2,"score":0.3328999876976013},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.31279999017715454},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.28929999470710754},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C118084267","wikidata":"https://www.wikidata.org/wiki/Q26110","display_name":"Positive economics","level":1,"score":0.2838999927043915},{"id":"https://openalex.org/C82157600","wikidata":"https://www.wikidata.org/wiki/Q2671652","display_name":"Diagnostic test","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C2989179672","wikidata":"https://www.wikidata.org/wiki/Q6806500","display_name":"Clinical decision making","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C73282008","wikidata":"https://www.wikidata.org/wiki/Q1759895","display_name":"Coping (psychology)","level":2,"score":0.26420000195503235}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.23932","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23932","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2605.23932","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23932","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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/13","score":0.4422546327114105,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Despite":[0],"strong":[1],"medical":[2,49],"benchmark":[3],"accuracy,":[4],"LLMs":[5],"can":[6],"exhibit":[7],"severe":[8],"multi-turn":[9],"sycophancy":[10],"in":[11],"clinical":[12],"dialogue,":[13],"abandoning":[14],"initial":[15,54],"correct":[16],"diagnosis":[17],"under":[18,33],"escalating":[19,34],"pressure.":[20,35,97],"We":[21],"propose":[22,76],"\\textbf{\\textsc{Med-Stress}},":[23],"a":[24,45,77,89],"targeted":[25],"stress":[26],"test":[27],"framework":[28],"that":[29,92,100],"evaluates":[30],"belief":[31,61,104],"stability":[32],"Across":[36],"nine":[37],"frontier":[38],"large":[39,64],"language":[40],"models":[41],"(LLMs),":[42],"we":[43,75],"find":[44],"clear":[46],"dissociation":[47],"between":[48],"knowledge":[50],"and":[51,85,106],"robustness:":[52],"high":[53,60],"diagnostic":[55],"capability":[56],"does":[57],"not":[58],"imply":[59],"stability,":[62],"yielding":[63],"knowledge-robustness":[65],"gaps":[66],"for":[67],"several":[68],"LLMs.":[69],"To":[70],"mitigate":[71],"this":[72],"failure":[73],"mode,":[74],"lightweight":[78],"inference-time":[79],"defense,":[80],"\\textbf{\\texttt{RBED}}":[81],"(\\textbf{R}ole-\\textbf{B}ased":[82],"\\textbf{E}pistemic":[83],"\\textbf{D}efense),":[84],"\\textbf{\\texttt{R-FT}}":[86,101],"(\\textbf{R}esilience-oriented":[87],"\\textbf{F}ine-\\textbf{T}uning),":[88],"training-time":[90],"approach":[91],"internalizes":[93],"evidence-based":[94],"resistance":[95],"to":[96],"Experiments":[98],"show":[99],"nearly":[102],"eliminates":[103],"change":[105],"substantially":[107],"improves":[108],"robustness.":[109]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-27T00:00:00"}