{"id":"https://openalex.org/W7161608005","doi":"https://doi.org/10.48550/arxiv.2605.15223","title":"GenAI-Driven Approach to RISC-V Supply Chain Exploration","display_name":"GenAI-Driven Approach to RISC-V Supply Chain Exploration","publication_year":2026,"publication_date":"2026-05-13","ids":{"openalex":"https://openalex.org/W7161608005","doi":"https://doi.org/10.48550/arxiv.2605.15223"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.15223","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15223","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":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.2605.15223","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136453313","display_name":"Nenad Petrovic","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Petrovic, Nenad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116057091","display_name":"Andr\u00e9 Schamschurko","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schamschurko, Andre","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136402260","display_name":"Yingjie Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Yingjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136374671","display_name":"Alois Knoll","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Knoll, Alois","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":0.05719999969005585,"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":0.05719999969005585,"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/T14347","display_name":"Big Data and Digital Economy","score":0.050200000405311584,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10215","display_name":"Semantic Web and Ontologies","score":0.03970000147819519,"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":0.8163999915122986},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.7875000238418579},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5677000284194946},{"id":"https://openalex.org/keywords/exploratory-analysis","display_name":"Exploratory analysis","score":0.3709000051021576},{"id":"https://openalex.org/keywords/supply-chain-risk-management","display_name":"Supply chain risk management","score":0.357699990272522},{"id":"https://openalex.org/keywords/supply-chain-management","display_name":"Supply chain management","score":0.35089999437332153},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3066999912261963}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.8163999915122986},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.7875000238418579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7124999761581421},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5677000284194946},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.4178999960422516},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.40779998898506165},{"id":"https://openalex.org/C3018260909","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory analysis","level":2,"score":0.3709000051021576},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.365200012922287},{"id":"https://openalex.org/C192639820","wikidata":"https://www.wikidata.org/wiki/Q1114469","display_name":"Supply chain risk management","level":5,"score":0.357699990272522},{"id":"https://openalex.org/C44104985","wikidata":"https://www.wikidata.org/wiki/Q492886","display_name":"Supply chain management","level":3,"score":0.35089999437332153},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3314000070095062},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.328900009393692},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3273000121116638},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C48840187","wikidata":"https://www.wikidata.org/wiki/Q689042","display_name":"Service management","level":4,"score":0.27070000767707825},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C38677869","wikidata":"https://www.wikidata.org/wiki/Q724168","display_name":"Petri net","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26409998536109924}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.15223","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15223","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.15223","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15223","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"LLM-empowered":[4],"workflow":[5,86],"for":[6,41,46],"RISC-V":[7,143],"supply":[8,35,76,125,161],"chain":[9,36,77,126],"analysis,":[10],"integrating":[11],"Vision-Language":[12],"Models":[13],"(VLMs)":[14],"and":[15,33,44,56,65,79,90,102,110,114,121,135,155],"Model-Driven":[16],"Engineering":[17],"(MDE)":[18],"to":[19,93],"enable":[20,94],"comprehensive,":[21],"multimodal":[22],"data-driven":[23],"insights.":[24],"The":[25,106,138],"proposed":[26],"approach":[27,139],"addresses":[28],"the":[29,85],"challenges":[30],"of":[31,97,100,104,124],"heterogeneous":[32],"unstructured":[34],"data":[37],"by":[38],"leveraging":[39],"LLMs":[40],"textual":[42],"understanding":[43,113],"VLMs":[45],"extracting":[47],"information":[48],"from":[49],"visual":[50],"artifacts":[51],"such":[52],"as":[53],"diagrams,":[54],"tables,":[55],"scanned":[57],"documents.":[58],"These":[59],"models":[60],"collaboratively":[61],"identify":[62],"key":[63],"entities":[64],"relationships,":[66],"which":[67],"are":[68],"then":[69],"organized":[70],"into":[71],"a":[72],"knowledge":[73],"graph":[74],"representing":[75],"components":[78],"their":[80],"interdependencies.":[81],"For":[82],"analytical":[83],"reasoning,":[84],"incorporates":[87],"MDE":[88],"techniques":[89],"constraint-based":[91],"modeling":[92],"formal":[95,116],"validation":[96],"dependencies,":[98],"detection":[99],"bottlenecks,":[101],"assessment":[103],"risks.":[105],"synergy":[107],"between":[108],"LLM-":[109],"VLM-based":[111],"semantic":[112],"MDE-based":[115],"analysis":[117],"supports":[118],"both":[119],"exploratory":[120],"systematic":[122],"evaluation":[123],"resilience.":[127],"A":[128],"human-in-the-loop":[129],"mechanism":[130],"further":[131],"enables":[132],"interactive":[133],"querying":[134],"expert":[136],"validation.":[137],"is":[140],"evaluated":[141],"in":[142,149,158],"ecosystem":[144],"scenarios,":[145],"demonstrating":[146],"its":[147],"effectiveness":[148],"generating":[150],"actionable":[151],"insights,":[152],"enhancing":[153],"transparency,":[154],"supporting":[156],"decision-making":[157],"complex":[159],"semiconductor":[160],"chains.":[162]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-19T00:00:00"}
