{"id":"https://openalex.org/W7162660733","doi":"https://doi.org/10.48550/arxiv.2605.28303","title":"From Fact Overwriting to Knowledge Evolution: Causal Editing via On-Policy Self-Distillation","display_name":"From Fact Overwriting to Knowledge Evolution: Causal Editing via On-Policy Self-Distillation","publication_year":2026,"publication_date":"2026-05-27","ids":{"openalex":"https://openalex.org/W7162660733","doi":"https://doi.org/10.48550/arxiv.2605.28303"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.28303","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.28303","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.2605.28303","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059696543","display_name":"Shuaike Li","orcid":"https://orcid.org/0009-0006-6063-8817"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Shuaike","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137260111","display_name":"Kai Zhang","orcid":"https://orcid.org/0009-0002-1486-7206"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Kai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137209954","display_name":"Xianquan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xianquan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137220975","display_name":"Jiachen Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jiachen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137296525","display_name":"Shengpeng Mo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mo, Shengpeng","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":0.2540999948978424,"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":0.2540999948978424,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.14219999313354492,"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":0.1404999941587448,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4984999895095825},{"id":"https://openalex.org/keywords/causal-consistency","display_name":"Causal consistency","score":0.42309999465942383},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.41530001163482666},{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.40560001134872437},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.39079999923706055},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.3578999936580658},{"id":"https://openalex.org/keywords/cognitive-dissonance","display_name":"Cognitive dissonance","score":0.3384999930858612},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.32510000467300415},{"id":"https://openalex.org/keywords/causal-reasoning","display_name":"Causal reasoning","score":0.32170000672340393}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6208000183105469},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4984999895095825},{"id":"https://openalex.org/C175652121","wikidata":"https://www.wikidata.org/wiki/Q4379351","display_name":"Causal consistency","level":5,"score":0.42309999465942383},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.41530001163482666},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.40560001134872437},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.3993000090122223},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.39079999923706055},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.3578999936580658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35740000009536743},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35040000081062317},{"id":"https://openalex.org/C77513098","wikidata":"https://www.wikidata.org/wiki/Q209722","display_name":"Cognitive dissonance","level":2,"score":0.3384999930858612},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3352000117301941},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.32510000467300415},{"id":"https://openalex.org/C115086926","wikidata":"https://www.wikidata.org/wiki/Q17004651","display_name":"Causal reasoning","level":3,"score":0.32170000672340393},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.320499986410141},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.31049999594688416},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C166151441","wikidata":"https://www.wikidata.org/wiki/Q4923601","display_name":"Causation","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C2780310539","wikidata":"https://www.wikidata.org/wiki/Q12547192","display_name":"Imperfect","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C167729594","wikidata":"https://www.wikidata.org/wiki/Q17736","display_name":"Axiom","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C2777256151","wikidata":"https://www.wikidata.org/wiki/Q7897273","display_name":"Unpacking","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2773999869823456},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C148609458","wikidata":"https://www.wikidata.org/wiki/Q7021281","display_name":"Nexus (standard)","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2603999972343445},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.25839999318122864},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.2565000057220459},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25519999861717224},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2524000108242035},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.28303","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.28303","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.2605.28303","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.28303","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"While":[0],"Knowledge":[1],"Editing":[2],"(KE)":[3],"enables":[4],"efficient":[5],"updates,":[6],"its":[7],"dominant":[8],"Static":[9],"Fact":[10],"Overwriting":[11],"paradigm":[12,98],"treats":[13],"LLMs":[14],"as":[15],"discrete":[16,154],"databases,":[17],"forcibly":[18],"injecting":[19],"isolated":[20],"facts.":[21],"Fracturing":[22],"pre-trained":[23],"logical":[24],"topologies,":[25],"this":[26,50,87,105],"triggers":[27],"Epistemic":[28],"Dissonance":[29],"--":[30],"a":[31,62,66,97],"pathology":[32],"where":[33],"un-evolved":[34],"legacy":[35],"priors":[36],"force":[37],"the":[38,43,72,94],"model":[39],"to":[40,90,142,150],"explicitly":[41],"negate":[42],"injected":[44],"update.":[45],"Idealized":[46],"interventions":[47],"reveal":[48],"that":[49],"is":[51,162],"an":[52],"inherent":[53],"structural":[54],"flaw":[55],"rather":[56],"than":[57],"mere":[58],"algorithmic":[59],"noise,":[60],"with":[61,119],"zero-distortion":[63],"proxy":[64],"yielding":[65],"catastrophic":[67],"95.6%":[68],"self-refutation":[69,141],"rate.":[70],"Given":[71],"causally":[73],"driven":[74],"nature":[75],"of":[76],"real-world":[77],"knowledge,":[78],"grounding":[79],"updates":[80],"in":[81],"explicit":[82],"causal":[83,117,125],"narratives":[84],"effectively":[85],"collapses":[86],"conflict":[88],"rate":[89],"just":[91],"6.6%,":[92],"underscoring":[93],"imperative":[95],"for":[96,113],"shift":[99],"toward":[100],"Causal":[101],"Editing.":[102],"To":[103],"internalize":[104],"evolution,":[106],"we":[107],"propose":[108],"CODE":[109,123,138],"(Causal":[110],"On-policy":[111],"Distillation":[112],"Editing).":[114],"By":[115],"coupling":[116],"bootstrapping":[118],"asymmetric":[120],"on-policy":[121],"distillation,":[122],"engraves":[124],"transition":[126],"logic":[127],"directly":[128],"into":[129,157],"parametric":[130],"memory.":[131],"Experiments":[132],"on":[133],"LLaMA-3.1":[134],"and":[135],"Qwen-2.5":[136],"show":[137],"drastically":[139],"suppresses":[140],"1.8%":[143],"while":[144],"securing":[145],"robust":[146],"multi-hop":[147],"accuracy":[148],"(up":[149],"83.5%),":[151],"seamlessly":[152],"transforming":[153],"fact":[155],"injection":[156],"coherent":[158],"knowledge":[159],"evolution.":[160],"Code":[161],"available":[163],"at":[164],"https://github.com/CrashBugger/CODE.":[165]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-29T00:00:00"}
