{"id":"https://openalex.org/W4417161945","doi":"https://doi.org/10.48550/arxiv.2508.00881","title":"Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models","display_name":"Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models","publication_year":2025,"publication_date":"2025-07-23","ids":{"openalex":"https://openalex.org/W4417161945","doi":"https://doi.org/10.48550/arxiv.2508.00881"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2508.00881","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.00881","pdf_url":"https://arxiv.org/pdf/2508.00881","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/2508.00881","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039429369","display_name":"Vijja Wichitwechkarn","orcid":"https://orcid.org/0000-0001-9615-4562"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wichitwechkarn, Vijja","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047695368","display_name":"Charles E. Fox","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fox, Charles","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5080264123","display_name":"Ruchi Choudhary","orcid":"https://orcid.org/0000-0001-6915-3433"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Choudhary, Ruchi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"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/T12553","display_name":"Psychedelics and Drug Studies","score":0.1281999945640564,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12553","display_name":"Psychedelics and Drug Studies","score":0.1281999945640564,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.08009999990463257,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.060100000351667404,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.7368999719619751},{"id":"https://openalex.org/keywords/hallucinating","display_name":"Hallucinating","score":0.694599986076355},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.4560999870300293},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.42089998722076416},{"id":"https://openalex.org/keywords/unobservable","display_name":"Unobservable","score":0.2980000078678131}],"concepts":[{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.7368999719619751},{"id":"https://openalex.org/C2911011789","wikidata":"https://www.wikidata.org/wiki/Q130741","display_name":"Hallucinating","level":2,"score":0.694599986076355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5612000226974487},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4936000108718872},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.4560999870300293},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.42089998722076416},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3652999997138977},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33379998803138733},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3000999987125397},{"id":"https://openalex.org/C2780695315","wikidata":"https://www.wikidata.org/wiki/Q3799040","display_name":"Unobservable","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2508.00881","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.00881","pdf_url":"https://arxiv.org/pdf/2508.00881","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.2508.00881","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2508.00881","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:oai:arXiv.org:2508.00881","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.00881","pdf_url":"https://arxiv.org/pdf/2508.00881","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Foundation":[0],"models":[1,82],"for":[2,14,27,37,106],"natural":[3],"language":[4],"processing":[5],"have":[6],"many":[7],"coherent":[8],"definitions":[9,21,36,71],"of":[10,119],"hallucination":[11,53,67],"and":[12,17,22,44,72,111,116],"methods":[13,23,46,112],"its":[15],"detection":[16,43],"mitigation.":[18],"However,":[19],"analogous":[20],"do":[24],"not":[25],"exist":[26],"multi-variate":[28],"time-series":[29,61],"(MVTS)":[30],"foundation":[31,81,121],"models.":[32,108,122],"We":[33,55],"propose":[34],"new":[35,42],"MVTS":[38,79,120],"hallucination,":[39],"along":[40],"with":[41],"mitigation":[45,98],"using":[47],"a":[48,93],"diffusion":[49],"model":[50],"to":[51,63,88,104],"estimate":[52],"levels.":[54,68],"derive":[56],"relational":[57,66],"datasets":[58,62],"from":[59],"popular":[60],"benchmark":[64],"these":[65,70,107],"Using":[69],"models,":[73],"we":[74],"find":[75],"that":[76],"open-source":[77],"pre-trained":[78],"imputation":[80],"relationally":[83],"hallucinate":[84],"on":[85],"average":[86],"up":[87,103],"59.5%":[89],"as":[90,92],"much":[91],"weak":[94],"baseline.":[95],"The":[96,109],"proposed":[97],"method":[99],"reduces":[100],"this":[101],"by":[102],"47.7%":[105],"definition":[110],"may":[113],"improve":[114],"adoption":[115],"safe":[117],"usage":[118]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}