{"id":"https://openalex.org/W7162468890","doi":"https://doi.org/10.48550/arxiv.2605.25603","title":"Detecting Unfaithful Chain-of-Thought via Circuit-Guided Internal-External Discrepancy","display_name":"Detecting Unfaithful Chain-of-Thought via Circuit-Guided Internal-External Discrepancy","publication_year":2026,"publication_date":"2026-05-25","ids":{"openalex":"https://openalex.org/W7162468890","doi":"https://doi.org/10.48550/arxiv.2605.25603"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.25603","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.25603","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2605.25603","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137015219","display_name":"Xu Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137030627","display_name":"Zhen Tan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tan, Zhen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137074196","display_name":"Song Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Song","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136997323","display_name":"Pingjun Hong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong, Pingjun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137039028","display_name":"Rui Miao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miao, Rui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137029830","display_name":"Xin Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137018205","display_name":"Tianlong Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Tianlong","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":0.35199999809265137,"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":0.35199999809265137,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.17149999737739563,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.1518000066280365,"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/interpretability","display_name":"Interpretability","score":0.8550000190734863},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.6924999952316284},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4099000096321106},{"id":"https://openalex.org/keywords/reasoning-system","display_name":"Reasoning system","score":0.40880000591278076},{"id":"https://openalex.org/keywords/automated-reasoning","display_name":"Automated reasoning","score":0.27559998631477356}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8550000190734863},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.6924999952316284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5598999857902527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5216000080108643},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4099000096321106},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.40880000591278076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29409998655319214},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2822999954223633},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2793999910354614},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C2985612853","wikidata":"https://www.wikidata.org/wiki/Q185816","display_name":"Analogical reasoning","level":3,"score":0.2624000012874603},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2623000144958496}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.25603","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.25603","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.25603","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.25603","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.7673917412757874,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Chain-of-thought":[0],"(CoT)":[1],"reasoning":[2,14,76,111,135,141,180],"improves":[3],"the":[4,20,48,116,165,171],"problem-solving":[5],"ability":[6],"of":[7,167,173],"large":[8],"language":[9],"models":[10],"(LLMs),":[11],"but":[12],"generated":[13,35],"traces":[15,112,122,129,181],"may":[16,123],"not":[17],"faithfully":[18],"reflect":[19],"model's":[21,49,117],"actual":[22],"decision":[23],"process.":[24],"Existing":[25],"CoT":[26,102,183],"unfaithfulness":[27,103,184],"detectors":[28],"mainly":[29],"rely":[30],"on":[31,152],"external":[32,140,179],"signals":[33,177],"from":[34,47,125,133,155],"rationales,":[36],"such":[37],"as":[38],"textual":[39],"plausibility":[40],"or":[41],"answer":[42],"consistency,":[43],"while":[44,163],"overlooking":[45],"evidence":[46,63],"internal":[50,138],"computation.":[51],"Although":[52],"recent":[53],"circuit":[54,168],"tracing":[55,65],"methods":[56],"provide":[57],"a":[58,98],"way":[59],"to":[60,85],"obtain":[61],"model-internal":[62],"by":[64],"how":[66],"information":[67],"flows":[68],"through":[69],"model":[70],"components":[71],"during":[72],"reasoning,":[73],"constructing":[74],"full":[75],"circuits":[77,132],"for":[78,100,182],"long":[79],"CoTs":[80],"is":[81,108],"costly":[82],"and":[83,139,143],"difficult":[84],"scale.":[86],"To":[87],"address":[88],"these":[89],"challenges,":[90],"we":[91],"propose":[92],"Circuit-guided":[93],"Internal-External":[94],"Discrepancy":[95],"Scorer":[96],"(CIE-Scorer),":[97],"framework":[99],"instance-level":[101],"detection.":[104,185],"The":[105],"key":[106],"idea":[107],"that":[109,158],"faithful":[110],"should":[113],"align":[114],"with":[115,178],"computational":[118],"process,":[119],"whereas":[120],"unfaithful":[121],"diverge":[124],"it.":[126],"CIE-Scorer":[127,159],"efficiently":[128],"compact":[130],"sentence-level":[131],"informative":[134],"tokens,":[136],"constructs":[137],"graphs,":[142],"measures":[144],"their":[145],"discrepancy":[146],"using":[147],"Fused":[148],"Gromov--Wasserstein":[149],"distance.":[150],"Experiments":[151],"four":[153],"datasets":[154],"FaithCoT-Bench":[156],"show":[157],"achieves":[160],"state-of-the-art":[161],"performance":[162],"reducing":[164],"cost":[166],"construction,":[169],"demonstrating":[170],"effectiveness":[172],"combining":[174],"mechanistic":[175],"interpretability":[176]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-27T00:00:00"}