{"id":"https://openalex.org/W7133663772","doi":"https://doi.org/10.48550/arxiv.2603.03308","title":"Old Habits Die Hard: How Conversational History Geometrically Traps LLMs","display_name":"Old Habits Die Hard: How Conversational History Geometrically Traps LLMs","publication_year":2026,"publication_date":"2026-02-08","ids":{"openalex":"https://openalex.org/W7133663772","doi":"https://doi.org/10.48550/arxiv.2603.03308"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.03308","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056036228","display_name":"Adi Simhi","orcid":"https://orcid.org/0000-0003-1730-7087"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simhi, Adi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128128499","display_name":"Fazl Barez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Barez, Fazl","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128131613","display_name":"Martin Tutek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tutek, Martin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128201610","display_name":"Yonatan Belinkov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Belinkov, Yonatan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5078512240","display_name":"Shay Cohen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cohen, Shay B.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"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":0.5013999938964844,"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":0.5013999938964844,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.057500001043081284,"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":0.05480000004172325,"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/bridging","display_name":"Bridging (networking)","score":0.5663999915122986},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5180000066757202},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.4041000008583069},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.37229999899864197},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.3675000071525574},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.36649999022483826},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.3382999897003174},{"id":"https://openalex.org/keywords/persistence","display_name":"Persistence (discontinuity)","score":0.3028999865055084}],"concepts":[{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.5663999915122986},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5180000066757202},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.41499999165534973},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.4041000008583069},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.37229999899864197},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.3675000071525574},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.36649999022483826},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.34470000863075256},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.3409999907016754},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.3382999897003174},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3230000138282776},{"id":"https://openalex.org/C2781009140","wikidata":"https://www.wikidata.org/wiki/Q7170389","display_name":"Persistence (discontinuity)","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C76509639","wikidata":"https://www.wikidata.org/wiki/Q918036","display_name":"Race (biology)","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.27090001106262207},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.26510000228881836},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.26109999418258667},{"id":"https://openalex.org/C2986432223","wikidata":"https://www.wikidata.org/wiki/Q5449740","display_name":"Risk model","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.2551000118255615},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.2549999952316284},{"id":"https://openalex.org/C130064352","wikidata":"https://www.wikidata.org/wiki/Q853725","display_name":"Social relation","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.03308","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.03308","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.03308","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":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.03308","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.7301584482192993,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"How":[0],"does":[1],"the":[2,77,100,120,124],"conversational":[3,23,50],"past":[4],"of":[5,79],"large":[6],"language":[7],"models":[8],"(LLMs)":[9],"influence":[10,35],"their":[11,22],"future":[12],"performance?":[13],"Recent":[14],"work":[15],"suggests":[16],"that":[17,47,109],"LLMs":[18],"are":[19],"affected":[20],"by":[21],"history":[24,51],"in":[25,31,119],"unexpected":[26],"ways.":[27],"For":[28],"instance,":[29],"hallucinations":[30],"prior":[32],"interactions":[33],"may":[34],"subsequent":[36,53],"model":[37,65,85],"responses.":[38],"In":[39],"this":[40,58],"work,":[41],"we":[42,64,75,107],"introduce":[43],"History-Echoes,":[44],"a":[45,96,114],"framework":[46,56],"investigates":[48],"how":[49],"biases":[52],"generations.":[54],"The":[55],"explores":[57],"bias":[59],"from":[60],"two":[61,101],"perspectives:":[62],"probabilistically,":[63],"conversations":[66],"as":[67,113],"Markov":[68],"chains":[69],"to":[70],"quantify":[71],"state":[72],"consistency;":[73],"geometrically,":[74],"measure":[76],"consistency":[78],"consecutive":[80],"hidden":[81],"representations.":[82],"Across":[83],"three":[84],"families":[86],"and":[87],"six":[88],"datasets":[89],"spanning":[90],"diverse":[91],"phenomena,":[92],"our":[93],"analysis":[94],"reveals":[95],"strong":[97],"correlation":[98],"between":[99],"perspectives.":[102],"By":[103],"bridging":[104],"these":[105],"perspectives,":[106],"demonstrate":[108],"behavioral":[110],"persistence":[111],"manifests":[112],"geometric":[115],"trap,":[116],"where":[117],"gaps":[118],"latent":[121],"space":[122],"confine":[123],"model's":[125],"trajectory.":[126],"Code":[127],"available":[128],"at":[129],"https://github.com/technion-cs-nlp/OldHabitsDieHard.":[130]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-06T00:00:00"}