{"id":"https://openalex.org/W4415178634","doi":"https://doi.org/10.1109/tcsvt.2025.3621207","title":"DeepFidelity: Perceptual Forgery Fidelity Assessment for Deepfake Detection","display_name":"DeepFidelity: Perceptual Forgery Fidelity Assessment for Deepfake Detection","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W4415178634","doi":"https://doi.org/10.1109/tcsvt.2025.3621207"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3621207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3621207","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012655281","display_name":"Chunlei Peng","orcid":"https://orcid.org/0000-0003-3448-2514"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunlei Peng","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi&#x2019;an, Shaanxi, China","School of Cyber Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, Shaanxi, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-3448-2514","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Cyber Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101085658","display_name":"Huiqing Guo","orcid":"https://orcid.org/0000-0003-0832-8046"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiqing Guo","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi&#x2019;an, Shaanxi, China","School of Cyber Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, Shaanxi, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Cyber Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058058294","display_name":"Decheng Liu","orcid":"https://orcid.org/0000-0002-6550-212X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Decheng Liu","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi&#x2019;an, Shaanxi, China","School of Cyber Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, Shaanxi, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-6550-212X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Cyber Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042507268","display_name":"Nannan Wang","orcid":"https://orcid.org/0000-0002-4695-6134"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nannan Wang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, Shaanxi, China","School of Telecommunications Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, Shaanxi, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-4695-6134","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Telecommunications Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087726516","display_name":"Ruimin Hu","orcid":"https://orcid.org/0000-0002-0290-5757"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruimin Hu","raw_affiliation_strings":["School of Cyber Engineering, Xidian University, Xi&#x2019;an, Shaanxi, China","School of Cyber Engineering, Xidian University, Xi&#x2019;an, Shaanxi, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, Xi&#x2019;an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0002-7985-0037"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi&#x2019;an, Shaanxi, China","School of Electronic Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, Shaanxi, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-7985-0037","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5012655281"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":2.2297,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89987771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"36","issue":"3","first_page":"3848","last_page":"3861"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9595000147819519,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.911300003528595,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/fidelity","display_name":"Fidelity","score":0.7020999789237976},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6136000156402588},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.583899974822998},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5717999935150146},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5135999917984009},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.46560001373291016},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.44449999928474426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4023999869823456}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.840399980545044},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.7020999789237976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6468999981880188},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6136000156402588},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.583899974822998},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5717999935150146},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5135999917984009},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.46560001373291016},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.44449999928474426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44020000100135803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4023999869823456},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37940001487731934},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.3637999892234802},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.34790000319480896},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.33489999175071716},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3301999866962433},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3181000053882599},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.27570000290870667},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2644999921321869},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3621207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3621207","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2452297484","display_name":null,"funder_award_id":"QTZX23042","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3688758420","display_name":null,"funder_award_id":"62571405","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4297946667","display_name":null,"funder_award_id":"U22A2096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G528944840","display_name":null,"funder_award_id":"62306227","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5302744849","display_name":null,"funder_award_id":"U22A2035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5344593585","display_name":null,"funder_award_id":"QTZX23083","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5405834107","display_name":null,"funder_award_id":"62276198","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5420252985","display_name":null,"funder_award_id":"B16037","funder_id":"https://openalex.org/F4320336698","funder_display_name":"Overseas Expertise Introduction Center for Discipline Innovation of Food Nutrition and Human Health (111 Center)"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336698","display_name":"Overseas Expertise Introduction Center for Discipline Innovation of Food Nutrition and Human Health (111 Center)","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1982471090","https://openalex.org/W1991777678","https://openalex.org/W2102166818","https://openalex.org/W2163744678","https://openalex.org/W2301937176","https://openalex.org/W2531409750","https://openalex.org/W2774037436","https://openalex.org/W2891145043","https://openalex.org/W2911424785","https://openalex.org/W2921230249","https://openalex.org/W2942074357","https://openalex.org/W2962958939","https://openalex.org/W2971144153","https://openalex.org/W2982058372","https://openalex.org/W3034196597","https://openalex.org/W3034577585","https://openalex.org/W3034713808","https://openalex.org/W3035739915","https://openalex.org/W3036576316","https://openalex.org/W3092879151","https://openalex.org/W3094470648","https://openalex.org/W3094728142","https://openalex.org/W3137574511","https://openalex.org/W3139371685","https://openalex.org/W3154326567","https://openalex.org/W3158353280","https://openalex.org/W3166490340","https://openalex.org/W3173317327","https://openalex.org/W3174508664","https://openalex.org/W3174656926","https://openalex.org/W3174814557","https://openalex.org/W3176193246","https://openalex.org/W3183392865","https://openalex.org/W3183999072","https://openalex.org/W3188897163","https://openalex.org/W3200129610","https://openalex.org/W3202495979","https://openalex.org/W3206001941","https://openalex.org/W4226024856","https://openalex.org/W4283817039","https://openalex.org/W4292793883","https://openalex.org/W4297095254","https://openalex.org/W4308949512","https://openalex.org/W4312388562","https://openalex.org/W4312472072","https://openalex.org/W4312782746","https://openalex.org/W4313127140","https://openalex.org/W4321483965","https://openalex.org/W4322096643","https://openalex.org/W4377231695","https://openalex.org/W4379382445","https://openalex.org/W4383200214","https://openalex.org/W4386071484","https://openalex.org/W4386075957","https://openalex.org/W4386076635","https://openalex.org/W4394939037","https://openalex.org/W4406804129"],"related_works":[],"abstract_inverted_index":{"Deepfake":[0,29,46],"detection":[1,30,47,84],"refers":[2],"to":[3,36,52,103,119,133,136,167,171],"detecting":[4],"artificially":[5],"generated":[6],"or":[7,12],"edited":[8],"faces":[9,108],"in":[10,19,26,139],"images":[11,96,166],"videos,":[13],"which":[14,88,160],"plays":[15],"an":[16],"essential":[17],"role":[18],"visual":[20],"information":[21],"security.":[22],"Despite":[23],"promising":[24],"progress":[25],"recent":[27],"years,":[28],"remains":[31],"a":[32,82,99,140,148],"challenging":[33],"problem":[34],"due":[35],"the":[37,61,69,72,90,116,162,169,173,178,192,195],"complexity":[38,70],"and":[39,77,97,106,126,181],"variability":[40],"of":[41,63,66,71,75,94,109,130,164,194],"face":[42,95,128,165],"forgery":[43,92],"techniques.":[44],"Existing":[45],"methods":[48],"are":[49],"often":[50],"devoted":[51],"extracting":[53],"features":[54],"by":[55,123],"designing":[56],"sophisticated":[57],"networks":[58],"but":[59],"ignore":[60],"influence":[62],"perceptual":[64,91],"quality":[65,73],"faces.":[67],"Considering":[68],"distribution":[74],"real":[76,105,125],"fake":[78,107,127],"faces,":[79],"we":[80,114,146],"propose":[81,147],"deepfake":[83],"framework":[85],"called":[86,151],"DeepFidelity,":[87],"mines":[89],"fidelity":[93],"introduces":[98],"quality-aware":[100],"scoring":[101],"mechanism":[102],"distinguish":[104,137],"different":[110,131,134],"image":[111],"qualities.":[112],"Specifically,":[113],"improve":[115],"model\u2019s":[117],"ability":[118],"identify":[120],"complex":[121],"samples":[122],"mapping":[124],"data":[129],"qualities":[132],"scores":[135],"them":[138],"more":[141],"detailed":[142],"way.":[143],"In":[144],"addition,":[145],"network":[149,170],"structure":[150],"Symmetric":[152],"Spatial":[153],"Attention":[154],"Augmentation":[155],"based":[156],"vision":[157],"Transformer":[158],"(SSAAFormer),":[159],"uses":[161],"symmetry":[163],"promote":[168],"model":[172],"geographic":[174],"long-distance":[175],"relationship":[176],"at":[177,205],"shallow":[179],"level":[180],"augment":[182],"local":[183],"features.":[184],"Extensive":[185],"experiments":[186],"on":[187],"multiple":[188],"benchmark":[189],"datasets":[190],"demonstrate":[191],"superiority":[193],"proposed":[196],"method":[197],"over":[198],"state-of-the-art":[199],"methods.":[200],"The":[201],"code":[202],"is":[203],"available":[204],"<italic":[206],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[207],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/shimmer-ghq/DeepFidelity</i>.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-15T00:00:00"}