[{"data":1,"prerenderedAt":92},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-8bbbe2ecf0a5ae9c959b2119-2cc695ab":3},{"edges":4,"entity":16,"fingerprint":51,"generatedAt":52,"neighbors":53,"schemaVersion":91},[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","101072488:output:8bbbe2ecf0a5ae9c959b2119","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101072488","exact","cordis:101072488","edge:project-output:101072488:8bbbe2ecf0a5ae9c959b2119","has_observed_output","output:8bbbe2ecf0a5ae9c959b2119",{"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___::24556ceee813cd1270f24e65cdec7ab5","publication",[23,26,29],{"scheme":24,"value":25},"arXiv","2504.10071",{"scheme":27,"value":28},"doi","10.1109\u002Fijcnn64981.2025.11227762",{"scheme":27,"value":30},"10.48550\u002Farxiv.2504.10071","2025-06-30",1,"Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning",[35,39,43],{"kind":36,"label":37,"url":38},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3A24556ceee813cd1270f24e65cdec7ab5",{"kind":40,"label":41,"url":42},"persistent_identifier","DOI 10.1109\u002Fijcnn64981.2025.11227762","https:\u002F\u002Fdoi.org\u002F10.1109\u002Fijcnn64981.2025.11227762",{"kind":40,"label":44,"url":45},"DOI 10.48550\u002Farxiv.2504.10071","https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2504.10071","output-8bbbe2ecf0a5ae9c959b2119-2cc695ab",[48],{"dataset":7,"field":49,"sourceId":20,"url":38},"openaire_research_product_id","output","sha256:b825204c892461435efd092d3c6d5c659530ea3c7ac13f416998ba53a3c902a3","2026-09-26T08:35:38.651Z",[54],{"attributes":55,"description":75,"edgeCount":76,"id":12,"indexable":19,"label":77,"links":78,"slug":85,"sourceRefs":86,"type":90},{"acronym":56,"code":57,"endDate":58,"frameworkProgramme":59,"funding":60,"knowledgeFlow":65,"research":66,"startDate":74},"TRAIL","101072488","2027-08-31","HORIZON",{"currency":61,"germanNetEuContributionCents":62,"participantEdgeCount":63,"status":64},"EUR","52107840",4,"linked",null,{"citationDataOutputCount":67,"citedOutputCount":63,"firstPublicationDate":68,"lastPublicationDate":69,"openAccessOutputCount":70,"outputCount":67,"status":64,"totalCitations":71,"typeCounts":72},26,"2023-01-01","2026-03-16",24,10,{"dataset":18,"other":32,"publication":73,"software":18},25,"2023-03-01","TRAnsparent InterpretabLe robots",20,"TRAIL · TRAnsparent InterpretabLe robots",[79,81],{"kind":36,"label":80,"url":10},"CORDIS",{"kind":82,"label":83,"url":84},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101072488","project-cordis-101072488-57e10215",[87],{"dataset":88,"field":89,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1790412356933]