{"id":"https://openalex.org/W7143477965","doi":"https://doi.org/10.48550/arxiv.2603.25898","title":"On Integrating Resilience and Human Oversight into LLM-Assisted Modeling Workflows for Digital Twins","display_name":"On Integrating Resilience and Human Oversight into LLM-Assisted Modeling Workflows for Digital Twins","publication_year":2026,"publication_date":"2026-03-26","ids":{"openalex":"https://openalex.org/W7143477965","doi":"https://doi.org/10.48550/arxiv.2603.25898"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.25898","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25898","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.2603.25898","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130933270","display_name":"Lekshmi P","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P, Lekshmi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130920686","display_name":"Neha Karanjkar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karanjkar, Neha","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/T10763","display_name":"Digital Transformation in Industry","score":0.909500002861023,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T10763","display_name":"Digital Transformation in Industry","score":0.909500002861023,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11741","display_name":"Flexible and Reconfigurable Manufacturing Systems","score":0.03539999946951866,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11195","display_name":"Simulation Techniques and Applications","score":0.0038999998942017555,"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/interpretability","display_name":"Interpretability","score":0.7677000164985657},{"id":"https://openalex.org/keywords/executable","display_name":"Executable","score":0.715399980545044},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7014999985694885},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5590000152587891},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.5058000087738037},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.47920000553131104},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.47769999504089355},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.42969998717308044},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41449999809265137}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7677000164985657},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.715399980545044},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7014999985694885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6708999872207642},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5590000152587891},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.5058000087738037},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.47920000553131104},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.47769999504089355},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.4519999921321869},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.44339999556541443},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.42969998717308044},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41449999809265137},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.3910999894142151},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.3903000056743622},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3856000006198883},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.3806000053882599},{"id":"https://openalex.org/C179603123","wikidata":"https://www.wikidata.org/wiki/Q1941921","display_name":"Modeling language","level":3,"score":0.30820000171661377},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.30559998750686646},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C2776397876","wikidata":"https://www.wikidata.org/wiki/Q1450531","display_name":"Cyberinfrastructure","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2840999960899353},{"id":"https://openalex.org/C153876917","wikidata":"https://www.wikidata.org/wiki/Q899704","display_name":"Traceability","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.272599995136261},{"id":"https://openalex.org/C183030095","wikidata":"https://www.wikidata.org/wiki/Q255894","display_name":"Equifinality","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C169806903","wikidata":"https://www.wikidata.org/wiki/Q5937752","display_name":"Human error","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.25898","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25898","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.2603.25898","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25898","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"LLM-assisted":[0,65,234],"modeling":[1,78],"holds":[2],"the":[3,107,125,168,187],"potential":[4],"to":[5,23,92,106,128,149],"rapidly":[6],"build":[7],"executable":[8],"Digital":[9,70],"Twins":[10,71],"of":[11,72,130,205,211],"complex":[12],"systems":[13],"from":[14,54,88,159],"only":[15],"coarse":[16,89],"descriptions":[17,83,156,210],"and":[18,28,34,48,79,100,142,145,184,186,214,232],"sensor":[19,117],"data.":[20],"However,":[21],"resilience":[22,47],"LLM":[24],"hallucination,":[25],"human":[26,98],"oversight,":[27],"real-time":[29],"model":[30,126,209],"adaptability":[31],"remain":[32],"challenging":[33],"often":[35],"mutually":[36],"conflicting":[37],"requirements.":[38],"We":[39,166],"present":[40,167],"three":[41],"critical":[42],"design":[43],"principles":[44],"for":[45,67,170,229],"integrating":[46],"oversight":[49],"into":[50],"such":[51],"workflows,":[52],"derived":[53],"insights":[55,225],"gained":[56],"through":[57],"our":[58],"work":[59],"on":[60,116],"FactoryFlow":[61],"-":[62],"an":[63,93],"open-source":[64],"framework":[66],"building":[68,230],"simulation-based":[69],"manufacturing":[73],"systems.":[74],"First,":[75],"orthogonalize":[76],"structural":[77],"parameter":[80],"fitting.":[81],"Structural":[82],"(components,":[84],"interconnections)":[85],"are":[86],"LLM-translated":[87],"natural":[90],"language":[91],"intermediate":[94],"representation":[95],"(IR)":[96],"with":[97,120],"visualization":[99],"validation,":[101],"which":[102],"is":[103,148,202],"algorithmically":[104],"converted":[105],"final":[108],"model.":[109],"Parameter":[110],"inference,":[111],"in":[112],"contrast,":[113],"operates":[114],"continuously":[115],"data":[118],"streams":[119],"expert-tunable":[121],"controls.":[122],"Second,":[123],"restrict":[124],"IR":[127,155,175,218],"interconnections":[129],"parameterized,":[131],"pre-validated":[132],"library":[133],"components":[134],"rather":[135],"than":[136],"monolithic":[137],"simulation":[138,235],"code,":[139],"enabling":[140],"interpretability":[141],"error-resilience.":[143],"Third,":[144],"most":[146],"important,":[147],"use":[150],"a":[151,173],"density-preserving":[152,174],"IR.":[153],"When":[154],"expand":[157],"dramatically":[158],"compact":[160],"inputs":[161],"hallucination":[162],"errors":[163,207],"accumulate":[164],"proportionally.":[165],"case":[169],"Python":[171],"as":[172],":":[176],"loops":[177],"express":[178],"regularity":[179],"compactly,":[180],"classes":[181],"capture":[182],"hierarchy":[183],"composition,":[185],"result":[188],"remains":[189],"highly":[190],"readable":[191],"while":[192],"exploiting":[193],"LLMs":[194],"strong":[195],"code":[196],"generation":[197],"capabilities.":[198],"A":[199],"key":[200],"contribution":[201],"detailed":[203],"characterization":[204],"LLM-induced":[206],"across":[208],"varying":[212],"detail":[213],"complexity,":[215],"revealing":[216],"how":[217],"choice":[219],"critically":[220],"impacts":[221],"error":[222],"rates.":[223],"These":[224],"provide":[226],"actionable":[227],"guidance":[228],"resilient":[231],"transparent":[233],"automation":[236],"workflows.":[237]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-31T00:00:00"}