{"id":"https://openalex.org/W3094337843","doi":"https://doi.org/10.3390/e22111201","title":"Approaching Adversarial Example Classification with Chaos Theory","display_name":"Approaching Adversarial Example Classification with Chaos Theory","publication_year":2020,"publication_date":"2020-10-24","ids":{"openalex":"https://openalex.org/W3094337843","doi":"https://doi.org/10.3390/e22111201","mag":"3094337843","pmid":"https://pubmed.ncbi.nlm.nih.gov/33286969"},"language":"en","primary_location":{"id":"doi:10.3390/e22111201","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22111201","pdf_url":"https://www.mdpi.com/1099-4300/22/11/1201/pdf","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/22/11/1201/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068267966","display_name":"An\u00edbal Pedraza","orcid":"https://orcid.org/0000-0001-7748-6756"},"institutions":[{"id":"https://openalex.org/I79189158","display_name":"University of Castilla-La Mancha","ror":"https://ror.org/05r78ng12","country_code":"ES","type":"education","lineage":["https://openalex.org/I79189158"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Anibal Pedraza","raw_affiliation_strings":["VISILAB, University of Castilla La Mancha, 13001 Ciudad Real, Spain"],"raw_orcid":"https://orcid.org/0000-0001-7748-6756","affiliations":[{"raw_affiliation_string":"VISILAB, University of Castilla La Mancha, 13001 Ciudad Real, Spain","institution_ids":["https://openalex.org/I79189158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040216542","display_name":"\u00d3scar D\u00e9niz","orcid":"https://orcid.org/0000-0002-0841-4131"},"institutions":[{"id":"https://openalex.org/I79189158","display_name":"University of Castilla-La Mancha","ror":"https://ror.org/05r78ng12","country_code":"ES","type":"education","lineage":["https://openalex.org/I79189158"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Oscar Deniz","raw_affiliation_strings":["VISILAB, University of Castilla La Mancha, 13001 Ciudad Real, Spain"],"raw_orcid":"https://orcid.org/0000-0002-0841-4131","affiliations":[{"raw_affiliation_string":"VISILAB, University of Castilla La Mancha, 13001 Ciudad Real, Spain","institution_ids":["https://openalex.org/I79189158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023438344","display_name":"Gloria Bueno","orcid":"https://orcid.org/0000-0002-7345-4869"},"institutions":[{"id":"https://openalex.org/I79189158","display_name":"University of Castilla-La Mancha","ror":"https://ror.org/05r78ng12","country_code":"ES","type":"education","lineage":["https://openalex.org/I79189158"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Gloria Bueno","raw_affiliation_strings":["VISILAB, University of Castilla La Mancha, 13001 Ciudad Real, Spain"],"raw_orcid":"https://orcid.org/0000-0002-7345-4869","affiliations":[{"raw_affiliation_string":"VISILAB, University of Castilla La Mancha, 13001 Ciudad Real, Spain","institution_ids":["https://openalex.org/I79189158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068267966"],"corresponding_institution_ids":["https://openalex.org/I79189158"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.7823,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78895713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"22","issue":"11","first_page":"1201","last_page":"1201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11515","display_name":"Bacillus and Francisella bacterial research","score":0.9753000140190125,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9593999981880188,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/mnist-database","display_name":"MNIST database","score":0.8982083797454834},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.6774002313613892},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.676131010055542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5890851020812988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5772567987442017},{"id":"https://openalex.org/keywords/lyapunov-exponent","display_name":"Lyapunov exponent","score":0.5066958069801331},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4627724885940552},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.45721104741096497},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.43545252084732056},{"id":"https://openalex.org/keywords/polynomial-chaos","display_name":"Polynomial chaos","score":0.4165356457233429},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40733709931373596},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4035939574241638},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35892099142074585},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3443101644515991},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2914743721485138},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27372661232948303},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.1255633533000946}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.8982083797454834},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.6774002313613892},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.676131010055542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5890851020812988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5772567987442017},{"id":"https://openalex.org/C191544260","wikidata":"https://www.wikidata.org/wiki/Q1238630","display_name":"Lyapunov exponent","level":3,"score":0.5066958069801331},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4627724885940552},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.45721104741096497},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.43545252084732056},{"id":"https://openalex.org/C197656079","wikidata":"https://www.wikidata.org/wiki/Q17147719","display_name":"Polynomial chaos","level":3,"score":0.4165356457233429},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40733709931373596},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4035939574241638},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35892099142074585},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3443101644515991},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2914743721485138},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27372661232948303},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.1255633533000946},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e22111201","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22111201","pdf_url":"https://www.mdpi.com/1099-4300/22/11/1201/pdf","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:33286969","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33286969","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:42d877ebfcd94449acfacdafbff3a0ac","is_oa":true,"landing_page_url":"https://doaj.org/article/42d877ebfcd94449acfacdafbff3a0ac","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 22, Iss 11, p 1201 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/22/11/1201/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e22111201","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 22; Issue 11; Pages: 1201","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7712112","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7712112","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e22111201","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22111201","pdf_url":"https://www.mdpi.com/1099-4300/22/11/1201/pdf","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6899999976158142,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1191061710","display_name":null,"funder_award_id":"TIN2017-82113-C2-2-R","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"},{"id":"https://openalex.org/G8637844131","display_name":null,"funder_award_id":"SBPLY/17/180501/000543","funder_id":"https://openalex.org/F4320327216","funder_display_name":"Junta de Comunidades de Castilla-La Mancha"},{"id":"https://openalex.org/G923900082","display_name":null,"funder_award_id":"FPU17/04758","funder_id":"https://openalex.org/F4320315062","funder_display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades"}],"funders":[{"id":"https://openalex.org/F4320315062","display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades","ror":null},{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"},{"id":"https://openalex.org/F4320327216","display_name":"Junta de Comunidades de Castilla-La Mancha","ror":"https://ror.org/02jv91m18"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3094337843.pdf","grobid_xml":"https://content.openalex.org/works/W3094337843.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1945616565","https://openalex.org/W1987440866","https://openalex.org/W1995875735","https://openalex.org/W2010187498","https://openalex.org/W2036887984","https://openalex.org/W2112796928","https://openalex.org/W2124842410","https://openalex.org/W2146022760","https://openalex.org/W2163605009","https://openalex.org/W2168228682","https://openalex.org/W2169506284","https://openalex.org/W2180612164","https://openalex.org/W2243397390","https://openalex.org/W2460937040","https://openalex.org/W2618530766","https://openalex.org/W2750384547","https://openalex.org/W2787970001","https://openalex.org/W2788901419","https://openalex.org/W2797897904","https://openalex.org/W2886848602","https://openalex.org/W2943642558","https://openalex.org/W2945033152","https://openalex.org/W2947059738","https://openalex.org/W2955472583","https://openalex.org/W2963207607","https://openalex.org/W2963542245","https://openalex.org/W2963612069","https://openalex.org/W2963744840","https://openalex.org/W2963857521","https://openalex.org/W2964040467","https://openalex.org/W2964082701","https://openalex.org/W2964253222","https://openalex.org/W2970567221","https://openalex.org/W2981572764","https://openalex.org/W2998043344","https://openalex.org/W3008557590","https://openalex.org/W3008966268","https://openalex.org/W3015625436","https://openalex.org/W3024956434","https://openalex.org/W3096618103","https://openalex.org/W3105297345","https://openalex.org/W3118608800","https://openalex.org/W3138248309","https://openalex.org/W4288363831","https://openalex.org/W6681425521","https://openalex.org/W6684191040","https://openalex.org/W6762970624"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W2950475743","https://openalex.org/W2886711096","https://openalex.org/W2750384547","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W4389249638","https://openalex.org/W2361515791","https://openalex.org/W2375956839","https://openalex.org/W2899627504"],"abstract_inverted_index":{"Adversarial":[0],"examples":[1,88,108],"are":[2,31,42,67,109,152,224],"one":[3],"of":[4,113,140,149,197,257],"the":[5,16,64,97,110,116,134,177,206,248],"most":[6],"intriguing":[7],"topics":[8],"in":[9,74,172,253],"modern":[10],"deep":[11,100],"learning.":[12],"Imperceptible":[13],"perturbations":[14],"to":[15,24,45,78,155,188],"input":[17,51,121],"can":[18,58,84,168,243],"fool":[19],"robust":[20,154],"models.":[21],"In":[22,39,128],"relation":[23],"this":[25,75],"problem,":[26],"attack":[27],"and":[28,106,221,235,265],"defense":[29],"methods":[30,83,216],"being":[32,43,251],"developed":[33],"almost":[34],"on":[35,96],"a":[36,119,124,174,194,254],"daily":[37],"basis.":[38],"parallel,":[40],"efforts":[41],"made":[44],"simply":[46],"pointing":[47],"out":[48],"when":[49,212],"an":[50,54],"image":[52,156,161,214],"is":[53,77,94,180,227],"adversarial":[55,87,107,150,249],"example.":[56],"This":[57,226],"help":[59,85],"prevent":[60],"potential":[61],"issues,":[62],"as":[63,103,218],"failure":[65],"cases":[66,264],"easily":[68],"recognizable":[69],"by":[70],"humans.":[71],"The":[72,183],"proposal":[73],"work":[76,93],"study":[79],"how":[80],"chaos":[81],"theory":[82],"distinguish":[86],"from":[89],"regular":[90],"images.":[91],"Our":[92],"based":[95],"assumption":[98],"that":[99,118,133,159,166,176,241,259],"networks":[101],"behave":[102],"chaotic":[104],"systems,":[105],"main":[111],"manifestation":[112],"it":[114],"(in":[115],"sense":[117],"slight":[120],"variation":[122],"produces":[123],"totally":[125],"different":[126],"output).":[127],"our":[129],"experiments,":[130],"we":[131,164],"show":[132,165],"Lyapunov":[135,170],"exponents":[136,171],"(an":[137],"established":[138],"measure":[139],"chaoticity),":[141],"which":[142],"have":[143],"been":[144],"recently":[145],"proposed":[146,184],"for":[147,205],"classification":[148],"examples,":[151],"not":[153],"processing":[157,215],"transformations":[158],"alter":[160],"entropy.":[162],"Furthermore,":[163],"entropy":[167],"complement":[169],"such":[173],"way":[175],"discriminating":[178],"power":[179],"significantly":[181],"enhanced.":[182],"method":[185],"achieves":[186],"65%":[187],"100%":[189],"accuracy":[190],"detecting":[191],"adversarials":[192],"with":[193,209,230],"wide":[195,255],"range":[196],"attacks":[198],"(for":[199],"example:":[200],"CW,":[201],"PGD,":[202],"Spatial,":[203],"HopSkip)":[204],"MNIST":[207],"dataset,":[208],"similar":[210],"results":[211,239],"entropy-changing":[213],"(such":[217],"Equalization,":[219],"Speckle":[220],"Gaussian":[222],"noise)":[223],"applied.":[225],"also":[228,266],"corroborated":[229],"two":[231],"other":[232,267],"datasets,":[233],"Fashion-MNIST":[234],"CIFAR":[236],"19.":[237],"These":[238],"indicate":[240],"classifiers":[242],"enhance":[244],"their":[245],"robustness":[246],"against":[247],"phenomenon,":[250],"applied":[252],"variety":[256],"conditions":[258],"potentially":[260],"matches":[261],"real":[262],"world":[263],"threatening":[268],"scenarios.":[269]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
