{"id":"https://openalex.org/W7160529669","doi":"https://doi.org/10.48550/arxiv.2605.04751","title":"Sequential Monte Carlo for Resilient Networks: Assessment, Mitigation, and Generative Modeling","display_name":"Sequential Monte Carlo for Resilient Networks: Assessment, Mitigation, and Generative Modeling","publication_year":2026,"publication_date":"2026-05-06","ids":{"openalex":"https://openalex.org/W7160529669","doi":"https://doi.org/10.48550/arxiv.2605.04751"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.04751","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04751","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2605.04751","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124265786","display_name":"Onel L. A. Lopez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L\u00f3pez, Onel L. A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135631581","display_name":"Amirhossein Azarbahram","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Azarbahram, Amirhossein","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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.25450000166893005,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.25450000166893005,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11807","display_name":"Infrastructure Resilience and Vulnerability Analysis","score":0.10080000013113022,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11720","display_name":"Probability and Risk Models","score":0.06509999930858612,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.6276999711990356},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5699999928474426},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5551999807357788},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5300999879837036},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4641999900341034},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.45730000734329224},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.3871000111103058},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.3596000075340271}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7152000069618225},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.6276999711990356},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5699999928474426},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5551999807357788},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5300999879837036},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4641999900341034},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.45730000734329224},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.3871000111103058},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37299999594688416},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3716000020503998},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.3596000075340271},{"id":"https://openalex.org/C2777317252","wikidata":"https://www.wikidata.org/wiki/Q18393516","display_name":"Rare events","level":2,"score":0.35429999232292175},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3431999981403351},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34130001068115234},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2913999855518341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2858999967575073},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2775999903678894},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.27070000767707825},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C119323957","wikidata":"https://www.wikidata.org/wiki/Q5048226","display_name":"Cascading failure","level":4,"score":0.2628999948501587},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25769999623298645}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.04751","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04751","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2605.04751","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04751","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6082536578178406}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Resilience":[0],"is":[1],"becoming":[2],"crucial":[3],"for":[4,31,96],"future":[5],"wireless":[6,130],"networks,":[7],"which":[8,35],"must":[9],"withstand,":[10],"adapt":[11],"to,":[12],"and":[13,48,51,99,148],"recover":[14],"from":[15,45],"rare":[16,42,81],"but":[17],"potentially":[18],"cascading":[19],"disruptions.":[20],"This":[21],"paper":[22],"develops":[23],"a":[24,60,69,128],"sequential":[25],"Monte":[26,140],"Carlo":[27,141],"(SMC)":[28],"simulation":[29,110],"framework":[30,126],"such":[32],"systems,":[33],"in":[34,127,142],"resilience":[36],"failures":[37],"are":[38,52],"formulated":[39],"as":[40,92,116],"path-dependent":[41],"events":[43],"arising":[44],"staged":[46],"degradation":[47],"delayed":[49],"recovery,":[50],"decomposed":[53],"into":[54],"semantically":[55],"interpretable":[56],"levels":[57],"defined":[58],"by":[59,111],"reaction":[61],"coordinate.":[62],"Building":[63],"on":[64],"this":[65],"structure,":[66],"we":[67],"present":[68],"fixed-level":[70],"splitting":[71],"approach":[72],"with":[73,145],"budget-aware":[74],"population":[75],"control,":[76],"enabling":[77],"efficient":[78],"estimation":[79],"of":[80,89],"non-recovery":[82],"probabilities.":[83],"We":[84,102,123],"discuss":[85],"the":[86,105,125],"potential":[87],"reuse":[88],"SMC":[90,135],"checkpoints":[91],"representative":[93],"near-critical":[94],"states":[95],"policy":[97],"evaluation":[98],"simulation-based":[100],"selection.":[101],"further":[103],"extend":[104],"methodology":[106],"to":[107],"learned":[108,149],"stochastic":[109],"using":[112],"generative":[113],"sequence":[114],"models":[115],"restartable":[117],"surrogates":[118],"within":[119],"data-driven":[120],"digital":[121],"twins.":[122],"showcase":[124],"delay-critical":[129],"network":[131],"use":[132],"case,":[133],"where":[134],"substantially":[136],"improves":[137],"over":[138],"standard":[139],"rare-event":[143],"regimes":[144],"both":[146],"physical":[147],"simulators.":[150]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-08T00:00:00"}
