{"id":"https://openalex.org/W4411277389","doi":"https://doi.org/10.3390/make7020054","title":"Dataset Dependency in CNN-Based Copy-Move Forgery Detection: A Multi-Dataset Comparative Analysis","display_name":"Dataset Dependency in CNN-Based Copy-Move Forgery Detection: A Multi-Dataset Comparative Analysis","publication_year":2025,"publication_date":"2025-06-13","ids":{"openalex":"https://openalex.org/W4411277389","doi":"https://doi.org/10.3390/make7020054"},"language":"en","primary_location":{"id":"doi:10.3390/make7020054","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make7020054","pdf_url":"https://www.mdpi.com/2504-4990/7/2/54/pdf?version=1749818477","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"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":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-4990/7/2/54/pdf?version=1749818477","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5118198284","display_name":"Potito Valle Dell\u2019Olmo","orcid":null},"institutions":[{"id":"https://openalex.org/I167322064","display_name":"Universit\u00e0 degli Studi eCampus","ror":"https://ror.org/006maft66","country_code":"IT","type":"education","lineage":["https://openalex.org/I167322064"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Potito Valle Dell\u2019Olmo","raw_affiliation_strings":["Department of Theoretical and Applied Sciences, eCampus University, Via Isimbardi 10, 22060 Novedrate, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Theoretical and Applied Sciences, eCampus University, Via Isimbardi 10, 22060 Novedrate, Italy","institution_ids":["https://openalex.org/I167322064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018508159","display_name":"Alexandr Kuznetsov","orcid":"https://orcid.org/0000-0003-2331-6326"},"institutions":[{"id":"https://openalex.org/I167322064","display_name":"Universit\u00e0 degli Studi eCampus","ror":"https://ror.org/006maft66","country_code":"IT","type":"education","lineage":["https://openalex.org/I167322064"]},{"id":"https://openalex.org/I8765205","display_name":"V. N. Karazin Kharkiv National University","ror":"https://ror.org/03ftejk10","country_code":"UA","type":"education","lineage":["https://openalex.org/I8765205"]}],"countries":["IT","UA"],"is_corresponding":true,"raw_author_name":"Oleksandr Kuznetsov","raw_affiliation_strings":["Department of Intelligent Software Systems and Technologies, School of Computer Science and Artificial Intelligence, V. N. Karazin Kharkiv National University, 4 Svobody Sq., 61022 Kharkiv, Ukraine","Department of Theoretical and Applied Sciences, eCampus University, Via Isimbardi 10, 22060 Novedrate, Italy"],"raw_orcid":"https://orcid.org/0000-0003-2331-6326","affiliations":[{"raw_affiliation_string":"Department of Intelligent Software Systems and Technologies, School of Computer Science and Artificial Intelligence, V. N. Karazin Kharkiv National University, 4 Svobody Sq., 61022 Kharkiv, Ukraine","institution_ids":["https://openalex.org/I8765205"]},{"raw_affiliation_string":"Department of Theoretical and Applied Sciences, eCampus University, Via Isimbardi 10, 22060 Novedrate, Italy","institution_ids":["https://openalex.org/I167322064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000889718","display_name":"Emanuele Frontoni","orcid":"https://orcid.org/0000-0002-8893-9244"},"institutions":[{"id":"https://openalex.org/I4210112163","display_name":"IT+Robotics (Italy)","ror":"https://ror.org/023d8gn94","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210112163"]},{"id":"https://openalex.org/I55133342","display_name":"University of Macerata","ror":"https://ror.org/0001fmy77","country_code":"IT","type":"education","lineage":["https://openalex.org/I55133342"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Emanuele Frontoni","raw_affiliation_strings":["Department of Political Sciences, Communication and International Relations, University of Macerata, Via Crescimbeni, 30/32, 62100 Macerata, Italy","Vision, Robotics and Artificial Intelligence Lab (VRAI), Via Brecce Bianche 12, 60131 Ancona, Italy"],"raw_orcid":"https://orcid.org/0000-0002-8893-9244","affiliations":[{"raw_affiliation_string":"Department of Political Sciences, Communication and International Relations, University of Macerata, Via Crescimbeni, 30/32, 62100 Macerata, Italy","institution_ids":["https://openalex.org/I55133342"]},{"raw_affiliation_string":"Vision, Robotics and Artificial Intelligence Lab (VRAI), Via Brecce Bianche 12, 60131 Ancona, Italy","institution_ids":["https://openalex.org/I4210112163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006160203","display_name":"Marco Arnesano","orcid":"https://orcid.org/0000-0003-1700-3075"},"institutions":[{"id":"https://openalex.org/I167322064","display_name":"Universit\u00e0 degli Studi eCampus","ror":"https://ror.org/006maft66","country_code":"IT","type":"education","lineage":["https://openalex.org/I167322064"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Arnesano","raw_affiliation_strings":["Department of Theoretical and Applied Sciences, eCampus University, Via Isimbardi 10, 22060 Novedrate, Italy"],"raw_orcid":"https://orcid.org/0000-0003-1700-3075","affiliations":[{"raw_affiliation_string":"Department of Theoretical and Applied Sciences, eCampus University, Via Isimbardi 10, 22060 Novedrate, Italy","institution_ids":["https://openalex.org/I167322064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025323940","display_name":"Christian Napoli","orcid":"https://orcid.org/0000-0002-3336-5853"},"institutions":[{"id":"https://openalex.org/I130294970","display_name":"Cz\u0119stochowa University of Technology","ror":"https://ror.org/046awyn59","country_code":"PL","type":"education","lineage":["https://openalex.org/I130294970"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210162062","display_name":"Istituto di Analisi dei Sistemi ed Informatica Antonio Ruberti","ror":"https://ror.org/054ye0e45","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210155236","https://openalex.org/I4210162062"]},{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT","PL"],"is_corresponding":false,"raw_author_name":"Christian Napoli","raw_affiliation_strings":["Department of Computational Intelligence, Czestochowa University of Technology, ul Dabrowskiego 69, 42-201 Czestochowa, Poland","Department of Computer, Control, and Management Engineering \u201cAntonio Ruberti\u201d, Sapienza University of Rome, V. Ariosto 25, 00185 Rome, Italy","Institute for Systems Analysis and Computer Science, Italian National Research Council, Via dei Taurini 19, 00185 Rome, Italy","Department of Computer, Control, and Management Engineering \"Antonio Ruberti\", Sapienza University of Rome, V. Ariosto 25, 00185 Rome, Italy"],"raw_orcid":"https://orcid.org/0000-0002-3336-5853","affiliations":[{"raw_affiliation_string":"Department of Computational Intelligence, Czestochowa University of Technology, ul Dabrowskiego 69, 42-201 Czestochowa, Poland","institution_ids":["https://openalex.org/I130294970"]},{"raw_affiliation_string":"Department of Computer, Control, and Management Engineering \u201cAntonio Ruberti\u201d, Sapienza University of Rome, V. Ariosto 25, 00185 Rome, Italy","institution_ids":["https://openalex.org/I861853513"]},{"raw_affiliation_string":"Institute for Systems Analysis and Computer Science, Italian National Research Council, Via dei Taurini 19, 00185 Rome, Italy","institution_ids":["https://openalex.org/I4210162062","https://openalex.org/I4210155236"]},{"raw_affiliation_string":"Department of Computer, Control, and Management Engineering \"Antonio Ruberti\", Sapienza University of Rome, V. Ariosto 25, 00185 Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012406610","display_name":"C. Randieri","orcid":"https://orcid.org/0000-0001-5300-3561"},"institutions":[{"id":"https://openalex.org/I167322064","display_name":"Universit\u00e0 degli Studi eCampus","ror":"https://ror.org/006maft66","country_code":"IT","type":"education","lineage":["https://openalex.org/I167322064"]},{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Cristian Randieri","raw_affiliation_strings":["Department of Computer, Control, and Management Engineering \u201cAntonio Ruberti\u201d, Sapienza University of Rome, V. Ariosto 25, 00185 Rome, Italy","Department of Theoretical and Applied Sciences, eCampus University, Via Isimbardi 10, 22060 Novedrate, Italy","Department of Computer, Control, and Management Engineering \"Antonio Ruberti\", Sapienza University of Rome, V. Ariosto 25, 00185 Rome, Italy"],"raw_orcid":"https://orcid.org/0000-0001-5300-3561","affiliations":[{"raw_affiliation_string":"Department of Computer, Control, and Management Engineering \u201cAntonio Ruberti\u201d, Sapienza University of Rome, V. Ariosto 25, 00185 Rome, Italy","institution_ids":["https://openalex.org/I861853513"]},{"raw_affiliation_string":"Department of Theoretical and Applied Sciences, eCampus University, Via Isimbardi 10, 22060 Novedrate, Italy","institution_ids":["https://openalex.org/I167322064"]},{"raw_affiliation_string":"Department of Computer, Control, and Management Engineering \"Antonio Ruberti\", Sapienza University of Rome, V. Ariosto 25, 00185 Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5018508159"],"corresponding_institution_ids":["https://openalex.org/I167322064","https://openalex.org/I8765205"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":10.5304,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.98462511,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"7","issue":"2","first_page":"54","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9962000250816345,"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":0.9962000250816345,"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":0.9864000082015991,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9111999869346619,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/dependency","display_name":"Dependency (UML)","score":0.7435195446014404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6342239379882812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5415821671485901},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48067983984947205}],"concepts":[{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7435195446014404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6342239379882812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5415821671485901},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48067983984947205}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/make7020054","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make7020054","pdf_url":"https://www.mdpi.com/2504-4990/7/2/54/pdf?version=1749818477","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"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":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2dbd2002ebad401e848fb14df9b7a99f","is_oa":true,"landing_page_url":"https://doaj.org/article/2dbd2002ebad401e848fb14df9b7a99f","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":"Machine Learning and Knowledge Extraction, Vol 7, Iss 2, p 54 (2025)","raw_type":"article"},{"id":"pmh:oai:iris.uniecampus.it:11389/73195","is_oa":false,"landing_page_url":"https://hdl.handle.net/11389/73195","pdf_url":null,"source":{"id":"https://openalex.org/S4306400077","display_name":"IRIS eCampus Telematic University (Universit\u00e0 degli Studi eCampus)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I167322064","host_organization_name":"Universit\u00e0 degli Studi eCampus","host_organization_lineage":["https://openalex.org/I167322064"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1742628","is_oa":true,"landing_page_url":"https://hdl.handle.net/11573/1742628","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3390/make7020054","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make7020054","pdf_url":"https://www.mdpi.com/2504-4990/7/2/54/pdf?version=1749818477","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"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":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411277389.pdf","grobid_xml":"https://content.openalex.org/works/W4411277389.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1987535593","https://openalex.org/W2128813047","https://openalex.org/W2162963619","https://openalex.org/W2219549612","https://openalex.org/W2417511053","https://openalex.org/W2520022511","https://openalex.org/W2950452242","https://openalex.org/W3011709185","https://openalex.org/W3196796801","https://openalex.org/W4214577322","https://openalex.org/W4296182416","https://openalex.org/W4297087989","https://openalex.org/W4306407337","https://openalex.org/W4308432135","https://openalex.org/W4323352950","https://openalex.org/W4390502770","https://openalex.org/W4392120276","https://openalex.org/W4407913901","https://openalex.org/W4409408258","https://openalex.org/W4409538463","https://openalex.org/W6651409531"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1,67],"networks":[2],"(CNNs)":[3],"have":[4],"established":[5],"themselves":[6],"over":[7],"time":[8],"as":[9,132],"a":[10,35,58,65,100,195,258],"fundamental":[11],"tool":[12],"in":[13,38,82,85,232],"the":[14,43,47,62,83,86,104,128,133,136,143,147,164,170,175,224,233,247,251,265,268,271,274,283],"field":[15],"of":[16,45,49,61,64,88,103,127,138,146,183,226,229,235,250,260,270,276,285],"copy-move":[17,73,236],"forgery":[18,237],"detection":[19,286],"due":[20],"to":[21,24,77,114,123,159,179,185,209],"their":[22,161],"ability":[23],"effectively":[25],"identify":[26],"and":[27,93,142,155,173,273,292],"analyze":[28],"manipulated":[29],"images.":[30],"Unfortunately,":[31],"they":[32],"still":[33],"represent":[34],"persistent":[36],"challenge":[37,223],"digital":[39,50,89],"image":[40],"forensics,":[41],"underlining":[42],"importance":[44],"ensuring":[46],"integrity":[48],"visual":[51],"content.":[52],"In":[53],"this":[54],"study,":[55],"we":[56,193,202,256],"present":[57],"systematic":[59],"evaluation":[60,278],"performance":[63,211,242],"convolutional":[66],"network":[68,165],"(CNN)":[69],"specifically":[70],"designed":[71],"for":[72,187,263],"manipulation":[74],"detection,":[75,238],"applied":[76],"three":[78],"datasets":[79,129,214],"widely":[80],"used":[81],"literature":[84],"context":[87,234],"forensics:":[90],"CoMoFoD,":[91],"Coverage,":[92],"CASIA":[94,188],"v2.":[95],"Our":[96,221],"experimental":[97],"analysis":[98],"highlighted":[99],"significant":[101],"variability":[102],"results,":[105],"with":[106],"an":[107,180],"accuracy":[108,181],"ranging":[109],"from":[110],"95.90%":[111],"on":[112,116,163,191,212,218,246],"CoMoFoD":[113,192],"27.50%":[115],"Coverage.":[117],"This":[118],"inhomogeneity":[119],"has":[120],"been":[121],"attributed":[122],"specific":[124],"structural":[125],"factors":[126],"used,":[130],"such":[131],"sample":[134],"size,":[135],"degree":[137],"imbalance":[139],"between":[140],"classes,":[141],"intrinsic":[144,248],"complexity":[145],"manipulations.":[148],"We":[149],"also":[150],"investigated":[151],"different":[152],"regularization":[153],"techniques":[154],"data":[156,205],"augmentation":[157,206],"strategies":[158],"understand":[160],"impact":[162,199],"performance,":[166],"finding":[167],"that":[168,204,288],"adopting":[169],"L2":[171],"penalty":[172],"reducing":[174],"learning":[176],"rate":[177],"led":[178],"increase":[182],"up":[184],"2.5%":[186],"v2,":[189],"while":[190],"recorded":[194],"much":[196],"more":[197,290],"modest":[198],"(1.3%).":[200],"Similarly,":[201],"observed":[203],"was":[207,216],"able":[208],"improve":[210],"large":[213],"but":[215],"ineffective":[217],"smaller":[219],"ones.":[220],"results":[222],"idea":[225],"universal":[227],"generalizability":[228],"CNN":[230],"architectures":[231],"highlighting":[239],"instead":[240],"how":[241],"is":[243],"strictly":[244],"dependent":[245],"characteristics":[249],"dataset":[252],"under":[253],"consideration.":[254],"Finally,":[255],"propose":[257],"series":[259],"operational":[261],"recommendations":[262],"optimizing":[264],"training":[266],"process,":[267],"choice":[269],"dataset,":[272],"definition":[275],"robust":[277],"protocols":[279],"aimed":[280],"at":[281],"guiding":[282],"development":[284],"systems":[287],"are":[289],"reliable":[291],"generalizable.":[293]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10}],"updated_date":"2026-06-05T09:01:59.212387","created_date":"2025-10-10T00:00:00"}