[{"data":1,"prerenderedAt":98},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-35a0293d9be2eea28bc4b7e6-32da3d89":3},{"edges":4,"entity":16,"fingerprint":51,"generatedAt":52,"neighbors":53,"schemaVersion":97},[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","101119527:output:35a0293d9be2eea28bc4b7e6","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101119527","exact","cordis:101119527","edge:project-output:101119527:35a0293d9be2eea28bc4b7e6","has_observed_output","output:35a0293d9be2eea28bc4b7e6",{"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},3,true,"doi_dedup___::a20260a8865a8bef31ea57cb5716fb07","publication",[23,26,29],{"scheme":24,"value":25},"arXiv","2407.04522",{"scheme":27,"value":28},"doi","10.1016\u002Fj.egyai.2025.100671",{"scheme":27,"value":30},"10.48550\u002Farxiv.2407.04522","2026-01-01",1,"Graph reinforcement learning for power grids: A comprehensive survey",[35,39,43],{"kind":36,"label":37,"url":38},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3Aa20260a8865a8bef31ea57cb5716fb07",{"kind":40,"label":41,"url":42},"persistent_identifier","DOI 10.1016\u002Fj.egyai.2025.100671","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.egyai.2025.100671",{"kind":40,"label":44,"url":45},"DOI 10.48550\u002Farxiv.2407.04522","https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2407.04522","output-35a0293d9be2eea28bc4b7e6-32da3d89",[48],{"dataset":7,"field":49,"sourceId":20,"url":38},"openaire_research_product_id","output","sha256:db820fdf7538009bb4a6a7b517a0c559964a73f3ac434178f7eaeffdfece9062","2026-07-21T08:59:15.288Z",[54],{"attributes":55,"description":82,"edgeCount":65,"id":12,"indexable":19,"label":83,"links":84,"slug":91,"sourceRefs":92,"type":96},{"acronym":56,"code":57,"endDate":58,"frameworkProgramme":59,"funding":60,"knowledgeFlow":64,"research":71,"startDate":81},"AI4REALNET","101119527","2027-03-31","HORIZON",{"currency":61,"germanNetEuContributionCents":62,"participantEdgeCount":18,"status":63},"EUR","81212500","linked",{"citingCountryCount":65,"citingInstitutionCount":66,"distinctCitingWorkCount":67,"firstObservedCitationDate":68,"lastObservedCitationDate":69,"observedCitationEdgeCount":67,"status":70},4,15,5,"2025-01-01","2026-06-22","bounded_observation",{"citationDataOutputCount":72,"citedOutputCount":65,"firstPublicationDate":73,"lastPublicationDate":31,"openAccessOutputCount":74,"outputCount":72,"status":63,"totalCitations":75,"typeCounts":76},41,"2024-01-01",40,11,{"dataset":77,"other":78,"publication":79,"software":80},2,12,27,0,"2023-10-01","AI for REAL-world NETwork operation","AI4REALNET · AI for REAL-world NETwork operation",[85,87],{"kind":36,"label":86,"url":10},"CORDIS",{"kind":88,"label":89,"url":90},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101119527","project-cordis-101119527-23be7e24",[93],{"dataset":94,"field":95,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1784624705791]