[{"data":1,"prerenderedAt":135},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-ac3c252525d5810adba70cc4-516a5ab3":3},{"edges":4,"entity":22,"fingerprint":62,"generatedAt":63,"neighbors":64,"schemaVersion":134},[5,16],{"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","101120393:output:ac3c252525d5810adba70cc4","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101120393","exact","cordis:101120393","edge:project-output:101120393:ac3c252525d5810adba70cc4","has_observed_output","output:ac3c252525d5810adba70cc4",{"evidence":17,"evidenceClass":11,"from":20,"id":21,"relation":14,"to":15},{"dataset":7,"field":8,"sourceId":18,"url":19},"101168560:output:ac3c252525d5810adba70cc4","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101168560","cordis:101168560","edge:project-output:101168560:ac3c252525d5810adba70cc4",{"attributes":23,"edgeCount":43,"id":15,"indexable":25,"label":44,"links":45,"slug":57,"sourceRefs":58,"type":61},{"citationCount":24,"isOpenAccess":25,"openAireId":26,"outputType":27,"persistentIdentifiers":28,"publicationDate":42},0,true,"doi_dedup___::2f21d776b1e3c1655bd8b3d92db0f08e","publication",[29,32,35,37,40],{"scheme":30,"value":31},"arXiv","2505.23412",{"scheme":33,"value":34},"doi","10.1016\u002Fj.patcog.2025.112441",{"scheme":33,"value":36},"10.48550\u002Farxiv.2505.23412",{"scheme":38,"value":39},"handle","11567\u002F1282716",{"scheme":38,"value":41},"11584\u002F469687","2026-04-01",2,"Buffer-free class-incremental learning with out-of-distribution detection",[46,50,54],{"kind":47,"label":48,"url":49},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3A2f21d776b1e3c1655bd8b3d92db0f08e",{"kind":51,"label":52,"url":53},"persistent_identifier","DOI 10.1016\u002Fj.patcog.2025.112441","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.patcog.2025.112441",{"kind":51,"label":55,"url":56},"DOI 10.48550\u002Farxiv.2505.23412","https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2505.23412","output-ac3c252525d5810adba70cc4-516a5ab3",[59],{"dataset":7,"field":60,"sourceId":26,"url":49},"openaire_research_product_id","output","sha256:29da94b55751e54255794bdae9d54cbcf0743af40f44741958b65f985831996f","2026-07-21T08:59:15.288Z",[65,108],{"attributes":66,"description":93,"edgeCount":90,"id":12,"indexable":25,"label":94,"links":95,"slug":102,"sourceRefs":103,"type":107},{"acronym":67,"code":68,"endDate":69,"frameworkProgramme":70,"funding":71,"knowledgeFlow":76,"research":83,"startDate":92},"Sec4AI4Sec","101120393","2026-09-30","HORIZON",{"currency":72,"germanNetEuContributionCents":73,"participantEdgeCount":74,"status":75},"EUR","116651360",3,"linked",{"citingCountryCount":77,"citingInstitutionCount":78,"distinctCitingWorkCount":79,"firstObservedCitationDate":80,"lastObservedCitationDate":81,"observedCitationEdgeCount":79,"status":82},10,44,16,"2025-01-01","2026-07-14","bounded_observation",{"citationDataOutputCount":84,"citedOutputCount":85,"firstPublicationDate":86,"lastPublicationDate":42,"openAccessOutputCount":87,"outputCount":84,"status":75,"totalCitations":88,"typeCounts":89},69,25,"2023-11-26",59,126,{"dataset":90,"other":24,"publication":91,"software":74},12,54,"2023-10-01","Cybersecurity for AI-Augmented Systems","Sec4AI4Sec · Cybersecurity for AI-Augmented Systems",[96,98],{"kind":47,"label":97,"url":10},"CORDIS",{"kind":99,"label":100,"url":101},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101120393","project-cordis-101120393-6a29da94",[104],{"dataset":105,"field":106,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project",{"attributes":109,"description":124,"edgeCount":125,"id":20,"indexable":25,"label":126,"links":127,"slug":131,"sourceRefs":132,"type":107},{"acronym":110,"code":111,"endDate":112,"frameworkProgramme":70,"funding":113,"knowledgeFlow":115,"research":119,"startDate":123},"CoEvolution","101168560","2027-10-31",{"currency":72,"germanNetEuContributionCents":114,"participantEdgeCount":43,"status":75},"131113375",{"citingCountryCount":116,"citingInstitutionCount":90,"distinctCitingWorkCount":74,"firstObservedCitationDate":117,"lastObservedCitationDate":118,"observedCitationEdgeCount":74,"status":82},7,"2025-06-10","2026-04-24",{"citationDataOutputCount":120,"citedOutputCount":74,"firstPublicationDate":80,"lastPublicationDate":42,"openAccessOutputCount":120,"outputCount":120,"status":75,"totalCitations":121,"typeCounts":122},13,23,{"dataset":24,"other":74,"publication":77,"software":24},"2024-11-01","A COMPREHENSIVE TRUSTWORTHY FRAMEWORK FOR CONNECTED MACHINE LEARNING AND SECURE INTERCONNECTED AI SOLUTIONS",6,"CoEvolution · A COMPREHENSIVE TRUSTWORTHY FRAMEWORK FOR CONNECTED MACHINE LEARNING AND SECURE INTERCONNECTED AI SOLUTIONS",[128,129],{"kind":47,"label":97,"url":19},{"kind":99,"label":100,"url":130},"\u002Ftools\u002Fki-innovationspfad\u002F?project=101168560","project-cordis-101168560-376aaa31",[133],{"dataset":105,"field":106,"sourceId":20,"url":19},"ki-evidenznetz.entity.v1",1784624700107]