{"id":"https://openalex.org/W7138889867","doi":"https://doi.org/10.48550/arxiv.2603.16475","title":"Breaking the Chain: A Causal Analysis of LLM Faithfulness to Intermediate Structures","display_name":"Breaking the Chain: A Causal Analysis of LLM Faithfulness to Intermediate Structures","publication_year":2026,"publication_date":"2026-03-17","ids":{"openalex":"https://openalex.org/W7138889867","doi":"https://doi.org/10.48550/arxiv.2603.16475"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.16475","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.16475","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.2603.16475","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092596475","display_name":"Oleg Somov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Somov, Oleg","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118713184","display_name":"Mikhail Chaichuk","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chaichuk, Mikhail","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Ershov, Gleb","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ershov, Gleb","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Vafin, Karim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vafin, Karim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Seleznyov, Mikhail","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seleznyov, Mikhail","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Panchenko, Alexander","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Panchenko, Alexander","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Tutubalina, Elena","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tutubalina, Elena","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":0.21969999372959137,"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":0.21969999372959137,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.11309999972581863,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.10450000315904617,"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/causal-structure","display_name":"Causal structure","score":0.6726999878883362},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5619000196456909},{"id":"https://openalex.org/keywords/ask-price","display_name":"Ask price","score":0.5605999827384949},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5375999808311462},{"id":"https://openalex.org/keywords/fragility","display_name":"Fragility","score":0.40400001406669617},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.3849000036716461},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.37959998846054077}],"concepts":[{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.6726999878883362},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5619000196456909},{"id":"https://openalex.org/C90329073","wikidata":"https://www.wikidata.org/wiki/Q914232","display_name":"Ask price","level":2,"score":0.5605999827384949},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5375999808311462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47699999809265137},{"id":"https://openalex.org/C80191262","wikidata":"https://www.wikidata.org/wiki/Q5477668","display_name":"Fragility","level":2,"score":0.40400001406669617},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.3849000036716461},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.37959998846054077},{"id":"https://openalex.org/C115086926","wikidata":"https://www.wikidata.org/wiki/Q17004651","display_name":"Causal reasoning","level":3,"score":0.37130001187324524},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.32170000672340393},{"id":"https://openalex.org/C166151441","wikidata":"https://www.wikidata.org/wiki/Q4923601","display_name":"Causation","level":2,"score":0.31540000438690186},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.2971000075340271},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29319998621940613},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2913999855518341},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26669999957084656},{"id":"https://openalex.org/C2987525970","wikidata":"https://www.wikidata.org/wiki/Q96374569","display_name":"Causal analysis","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.16475","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.16475","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.2603.16475","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.16475","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":[{"id":"https://metadata.un.org/sdg/16","score":0.7416235208511353,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"schema-guided":[1,147],"reasoning":[2],"(SGR)":[3],"pipelines,":[4],"LLMs":[5],"produce":[6],"explicit":[7],"intermediate":[8,66,90,108,144],"structures":[9,39,67,91,145],"--":[10,16,99],"rubrics,":[11],"checklists,":[12],"or":[13],"verification":[14],"queries":[15],"before":[17],"committing":[18],"to":[19,33,40,55,68,94,122],"a":[20,51,62,74],"final":[21,115],"decision.":[22],"SGR":[23],"is":[24,104,120],"increasingly":[25],"adopted":[26],"because":[27],"it":[28],"promises":[29],"controllability:":[30],"practitioners":[31],"expect":[32],"inspect,":[34],"edit,":[35],"and":[36,81],"override":[37],"these":[38],"steer":[41],"the":[42,46,107,114,118],"outcome.":[43],"But":[44],"does":[45],"promise":[47],"hold?":[48],"We":[49],"introduce":[50],"causal":[52,156],"evaluation":[53],"protocol":[54],"measure":[56],"it:":[57],"by":[58],"selecting":[59],"tasks":[60],"where":[61],"deterministic":[63],"function":[64,149],"maps":[65],"decisions,":[69],"every":[70],"controlled":[71],"edit":[72],"implies":[73],"unique":[75],"correct":[76],"output.":[77],"Across":[78],"12":[79],"models":[80,84],"4":[82],"benchmarks,":[83],"appear":[85],"self-consistent":[86],"with":[87],"their":[88],"own":[89],"but":[92],"fail":[93],"update":[95],"predictions":[96],"after":[97],"intervention":[98,141],"revealing":[100],"that":[101],"apparent":[102],"faithfulness":[103],"fragile":[105],"once":[106],"structure":[109,119],"changes.":[110],"When":[111],"derivation":[112],"of":[113],"decision":[116],"from":[117],"delegated":[121],"an":[123],"external":[124],"tool,":[125],"this":[126],"fragility":[127],"largely":[128],"disappears;":[129],"stronger":[130],"prompting":[131],"yields":[132],"only":[133],"limited":[134],"improvements,":[135],"while":[136],"preference":[137],"optimization":[138],"substantially":[139],"improves":[140],"faithfulness.":[142],"Overall,":[143],"in":[146],"pipelines":[148],"as":[150],"influential":[151],"context":[152],"rather":[153],"than":[154],"stable":[155],"mediators.":[157]},"counts_by_year":[],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2026-03-20T00:00:00"}