{"id":"https://openalex.org/W4414581428","doi":"https://doi.org/10.48550/arxiv.2505.18555","title":"Unraveling Misinformation Propagation in LLM Reasoning","display_name":"Unraveling Misinformation Propagation in LLM Reasoning","publication_year":2025,"publication_date":"2025-05-24","ids":{"openalex":"https://openalex.org/W4414581428","doi":"https://doi.org/10.48550/arxiv.2505.18555"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2505.18555","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.18555","pdf_url":"https://arxiv.org/pdf/2505.18555","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2505.18555","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112265206","display_name":"Yiyang Feng","orcid":"https://orcid.org/0000-0003-1238-4382"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Feng, Yiyang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048221773","display_name":"Yichen Wang","orcid":"https://orcid.org/0000-0002-1831-9541"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yichen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102697504","display_name":"Shaobo Cui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cui, Shaobo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119753573","display_name":"Boi Faltings","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Faltings, Boi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119753574","display_name":"Mina Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Mina","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100746635","display_name":"Jiawei Zhou","orcid":"https://orcid.org/0000-0002-1844-9178"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Jiawei","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5112265206"],"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/T10260","display_name":"Software Engineering Research","score":0.8206999897956848,"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"}},"topics":[{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.8206999897956848,"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/T10734","display_name":"Information and Cyber Security","score":0.8137000203132629,"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/T10028","display_name":"Topic Modeling","score":0.7533000111579895,"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/misinformation","display_name":"Misinformation","score":0.982699990272522},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6161999702453613},{"id":"https://openalex.org/keywords/analytic-reasoning","display_name":"Analytic reasoning","score":0.44429999589920044},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.39239999651908875},{"id":"https://openalex.org/keywords/motivated-reasoning","display_name":"Motivated reasoning","score":0.36910000443458557}],"concepts":[{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.982699990272522},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6161999702453613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.51419997215271},{"id":"https://openalex.org/C103057564","wikidata":"https://www.wikidata.org/wiki/Q4751139","display_name":"Analytic reasoning","level":3,"score":0.44429999589920044},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.430400013923645},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.41929998993873596},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.41119998693466187},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.39239999651908875},{"id":"https://openalex.org/C2776325391","wikidata":"https://www.wikidata.org/wiki/Q6917865","display_name":"Motivated reasoning","level":3,"score":0.36910000443458557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3440000116825104},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.2930000126361847},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.28850001096725464},{"id":"https://openalex.org/C187179951","wikidata":"https://www.wikidata.org/wiki/Q7784616","display_name":"Thinking processes","level":3,"score":0.28110000491142273},{"id":"https://openalex.org/C2992562121","wikidata":"https://www.wikidata.org/wiki/Q3817808","display_name":"Scientific reasoning","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.25839999318122864},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2542000114917755}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2505.18555","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.18555","pdf_url":"https://arxiv.org/pdf/2505.18555","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2505.18555","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2505.18555","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":"pmh:oai:arXiv.org:2505.18555","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.18555","pdf_url":"https://arxiv.org/pdf/2505.18555","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"have":[4],"demonstrated":[5],"impressive":[6],"capabilities":[7],"in":[8,40,46,106,140],"reasoning,":[9,64],"positioning":[10],"them":[11],"as":[12],"promising":[13],"tools":[14],"for":[15],"supporting":[16],"human":[17],"problem-solving.":[18],"However,":[19],"what":[20],"happens":[21],"when":[22,89],"their":[23],"performance":[24],"is":[25,44],"affected":[26],"by":[27,33],"misinformation,":[28,108],"i.e.,":[29],"incorrect":[30],"inputs":[31],"introduced":[32],"users":[34],"due":[35],"to":[36,92,115,167],"oversights":[37],"or":[38],"gaps":[39],"knowledge?":[41],"Such":[42],"misinformation":[43,72,88,147,169],"prevalent":[45],"real-world":[47],"interactions":[48],"with":[49,96,126,154],"LLMs,":[50],"yet":[51],"how":[52,71,83],"it":[53],"propagates":[54],"within":[55],"LLMs'":[56],"reasoning":[57,75,142,159],"process":[58,143],"remains":[59],"underexplored.":[60],"Focusing":[61],"on":[62,151],"mathematical":[63],"we":[65],"present":[66],"a":[67,164],"comprehensive":[68],"analysis":[69,133],"of":[70],"affects":[73],"intermediate":[74],"steps":[76],"and":[77,122,149],"final":[78],"answers.":[79],"We":[80],"also":[81],"examine":[82],"effectively":[84,145],"LLMs":[85,99],"can":[86],"correct":[87,111],"explicitly":[90],"instructed":[91],"do":[93],"so.":[94],"Even":[95],"explicit":[97],"instructions,":[98],"succeed":[100],"less":[101],"than":[102],"half":[103],"the":[104,123,141],"time":[105],"rectifying":[107],"despite":[109],"possessing":[110],"internal":[112],"knowledge,":[113],"leading":[114],"significant":[116],"accuracy":[117],"drops":[118],"(10.02%":[119],"-":[120,130],"72.20%),":[121],"degradation":[124],"holds":[125],"thinking":[127],"models":[128],"(4.30%":[129],"19.97%).":[131],"Further":[132],"shows":[134],"that":[135],"applying":[136],"factual":[137],"corrections":[138,156],"early":[139],"most":[144],"reduces":[146],"propagation,":[148],"fine-tuning":[150],"synthesized":[152],"data":[153],"early-stage":[155],"significantly":[157],"improves":[158],"factuality.":[160],"Our":[161],"work":[162],"offers":[163],"practical":[165],"approach":[166],"mitigating":[168],"propagation.":[170]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}