{"id":"https://openalex.org/W7154734842","doi":"https://doi.org/10.48550/arxiv.2604.14787","title":"Towards Trustworthy 6G Network Digital Twins: A Framework for Validating Counterfactual What-If Analysis in Edge Computing Resources","display_name":"Towards Trustworthy 6G Network Digital Twins: A Framework for Validating Counterfactual What-If Analysis in Edge Computing Resources","publication_year":2026,"publication_date":"2026-04-16","ids":{"openalex":"https://openalex.org/W7154734842","doi":"https://doi.org/10.48550/arxiv.2604.14787"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.14787","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.14787","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.2604.14787","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133890858","display_name":"Julian Jimenez Agudelo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Agudelo, Julian Jimenez","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126888256","display_name":"Paola Soto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soto, Paola","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133902341","display_name":"Ayat Zaki-Hindi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zaki-Hindi, Ayat","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010173966","display_name":"Jean-S\u00e9bastien Sottet","orcid":"https://orcid.org/0000-0002-3071-6371"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sottet, Jean-S\u00e9bastien","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133901861","display_name":"S\u00e9bastien Faye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Faye, S\u00e9bastien","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133836583","display_name":"Nina Slamnik-Krije\u0161torac","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Slamnik-Krije\u0161torac, Nina","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133856019","display_name":"Johann Marquez-Barja","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marquez-Barja, Johann","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5078961625","display_name":"Miguel Camelo Botero","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Botero, Miguel Camelo","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/T10714","display_name":"Software-Defined Networks and 5G","score":0.3831000030040741,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.3831000030040741,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.12430000305175781,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.0502999983727932,"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/workflow","display_name":"Workflow","score":0.6309000253677368},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5741999745368958},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5400000214576721},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5230000019073486},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.45399999618530273},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.44850000739097595},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.448199987411499},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.43529999256134033},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4138999879360199}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7102000117301941},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6309000253677368},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5741999745368958},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5458999872207642},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5400000214576721},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5230000019073486},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.45399999618530273},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.44850000739097595},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.448199987411499},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.43529999256134033},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4138999879360199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4124000072479248},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4043999910354614},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3544999957084656},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.33809998631477356},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.33649998903274536},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32420000433921814},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.31470000743865967},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.3010999858379364},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.29159998893737793},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2806999981403351},{"id":"https://openalex.org/C91682802","wikidata":"https://www.wikidata.org/wiki/Q620538","display_name":"Multidimensional scaling","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2556000053882599},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C192126672","wikidata":"https://www.wikidata.org/wiki/Q1068715","display_name":"Telecommunications network","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C92446256","wikidata":"https://www.wikidata.org/wiki/Q3306762","display_name":"Data validation","level":2,"score":0.2522999942302704},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.14787","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.14787","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.2604.14787","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.14787","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":[{"score":0.6160592436790466,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Network":[0,95],"Digital":[1],"Twins":[2],"(NDTs)":[3],"enable":[4],"safe":[5],"what-if":[6],"analysis":[7],"for":[8,37,123],"6G":[9],"cloud-edge":[10,38,53],"infrastructures,":[11],"but":[12],"adoption":[13],"is":[14],"often":[15],"limited":[16],"by":[17],"fragmented":[18],"workflows":[19],"from":[20],"telemetry":[21,39,54],"to":[22,86],"validation.":[23],"We":[24],"present":[25],"a":[26,34,67,79,120],"data-driven":[27],"NDT":[28,119],"framework":[29,83],"that":[30],"extends":[31],"6G-TWIN":[32],"with":[33],"scalable":[35,52],"pipeline":[36],"aggregation":[40],"and":[41,65,74,97],"semantic":[42],"alignment":[43],"into":[44],"unified":[45],"data":[46],"models.":[47],"Our":[48],"contributions":[49],"include:":[50],"(i)":[51],"collection,":[55],"(ii)":[56],"regime-aware":[57],"feature":[58],"engineering":[59],"capturing":[60],"the":[61,82,107,118],"network's":[62],"scaling":[63,126],"behavior,":[64],"(iii)":[66],"validation":[68],"methodology":[69],"based":[70],"on":[71,78],"Sign":[72],"Agreement":[73],"Directional":[75],"Sensitivity.":[76],"Evaluated":[77],"Kubernetes-managed":[80],"cluster,":[81],"extrapolates":[84],"performance":[85],"unseen":[87],"high-load":[88],"regimes.":[89],"Results":[90],"show":[91],"both":[92],"Deep":[93],"Neural":[94],"(DNN)":[96],"XGBoost":[98,108],"achieve":[99],"high":[100],"regression":[101],"accuracy":[102],"(R2":[103],"&gt;":[104,115],"0.99),":[105],"while":[106],"model":[109],"delivers":[110],"superior":[111],"directional":[112],"reliability":[113],"(Sa":[114],"0.90),":[116],"making":[117],"trustworthy":[121],"tool":[122],"proactive":[124],"resource":[125],"in":[127],"out-of-distribution":[128],"scenarios.":[129]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-18T00:00:00"}
