[{"data":1,"prerenderedAt":99},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-26aa0cefab919e7179cd304e-eb04f369":3},{"edges":4,"entity":16,"fingerprint":51,"generatedAt":52,"neighbors":53,"schemaVersion":98},[5],{"evidence":6,"evidenceClass":11,"from":12,"id":13,"relation":14,"to":15},{"dataset":7,"field":8,"sourceId":9,"url":10},"german-ai-research-to-transfer-index","cordis_project_code","101139130:output:26aa0cefab919e7179cd304e","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101139130","exact","cordis:101139130","edge:project-output:101139130:26aa0cefab919e7179cd304e","has_observed_output","output:26aa0cefab919e7179cd304e",{"attributes":17,"edgeCount":32,"id":15,"indexable":19,"label":33,"links":34,"slug":46,"sourceRefs":47,"type":50},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":31},0,true,"doi_dedup___::3ca403f41ecf15df1153e9b44c67198b","publication",[23,26,29],{"scheme":24,"value":25},"arXiv","2412.17577",{"scheme":27,"value":28},"doi","10.1109\u002Fwcnc61545.2025.10978602",{"scheme":27,"value":30},"10.48550\u002Farxiv.2412.17577","2025-03-24",1,"Localization Accuracy Improvement in Multistatic ISAC with LoS\u002FNLoS Condition Using 5G NR Signals",[35,39,43],{"kind":36,"label":37,"url":38},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3A3ca403f41ecf15df1153e9b44c67198b",{"kind":40,"label":41,"url":42},"persistent_identifier","DOI 10.1109\u002Fwcnc61545.2025.10978602","https:\u002F\u002Fdoi.org\u002F10.1109\u002Fwcnc61545.2025.10978602",{"kind":40,"label":44,"url":45},"DOI 10.48550\u002Farxiv.2412.17577","https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2412.17577","output-26aa0cefab919e7179cd304e-eb04f369",[48],{"dataset":7,"field":49,"sourceId":20,"url":38},"openaire_research_product_id","output","sha256:dfc063ba53547485250b8d6ab1b5bd843b6c104538e2659380f0cb0609fae564","2026-11-12T09:00:31.263Z",[54],{"attributes":55,"description":82,"edgeCount":83,"id":12,"indexable":19,"label":84,"links":85,"slug":92,"sourceRefs":93,"type":97},{"acronym":56,"code":57,"endDate":58,"frameworkProgramme":59,"funding":60,"knowledgeFlow":65,"research":73,"startDate":76},"6G-DISAC","101139130","2026-12-31","HORIZON",{"currency":61,"germanNetEuContributionCents":62,"participantEdgeCount":63,"status":64},"EUR","95350150",2,"linked",{"citingCountryCount":66,"citingInstitutionCount":67,"distinctCitingWorkCount":68,"firstObservedCitationDate":69,"lastObservedCitationDate":70,"observedCitationEdgeCount":71,"status":72},62,698,699,"2023-07-17","2026-11-02",800,"full_input_observation",{"citationDataOutputCount":74,"citedOutputCount":75,"firstPublicationDate":76,"lastPublicationDate":77,"openAccessOutputCount":78,"outputCount":74,"status":64,"totalCitations":79,"typeCounts":80},68,29,"2024-01-01","2026-04-01",63,154,{"dataset":18,"other":32,"publication":81,"software":18},67,"6G-DISAC: 6G for Distributed Intelligent Sensing and Communication",40,"6G-DISAC · 6G-DISAC: 6G for Distributed Intelligent Sensing and Communication",[86,88],{"kind":36,"label":87,"url":10},"CORDIS",{"kind":89,"label":90,"url":91},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101139130","project-cordis-101139130-a4fdf251",[94],{"dataset":95,"field":96,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1794474552126]