{"id":"https://openalex.org/W4304080600","doi":"https://doi.org/10.1145/3503161.3548055","title":"Inferential Visual Question Generation","display_name":"Inferential Visual Question Generation","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304080600","doi":"https://doi.org/10.1145/3503161.3548055"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3548055","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3503161.3548055","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3503161.3548055","source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3503161.3548055","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100520594","display_name":"Chao Bi","orcid":"https://orcid.org/0000-0001-5895-1202"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Bi","raw_affiliation_strings":["University of the Chinese Academy of Sciences; Institute of Computing Technology, Chinese Academy of Sciences, Beijing; Beijing, China","Beijing, China","University of the Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"University of the Chinese Academy of Sciences; Institute of Computing Technology, Chinese Academy of Sciences, Beijing; Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Beijing, China","institution_ids":[]},{"raw_affiliation_string":"University of the Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669242","display_name":"Shuhui Wang","orcid":"https://orcid.org/0000-0002-5931-0527"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhui Wang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences; Peng Cheng Laboratory, Beijing; Shenzhen, China","Peng Cheng Laboratory, Beijing","Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences; Peng Cheng Laboratory, Beijing; Shenzhen, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366","https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Beijing","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088046237","display_name":"Zhe Xue","orcid":"https://orcid.org/0000-0001-6123-0043"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Xue","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062618254","display_name":"Shengbo Chen","orcid":"https://orcid.org/0000-0002-9026-8128"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengbo Chen","raw_affiliation_strings":["Henan University, Kaifeng, China"],"affiliations":[{"raw_affiliation_string":"Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["University of the Chinese Academy of Sciences; Institute of Computing Technology, Chinese Academy of Sciences, Beijing; Beijing, China","Beijing, China","University of the Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"University of the Chinese Academy of Sciences; Institute of Computing Technology, Chinese Academy of Sciences, Beijing; Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Beijing, China","institution_ids":[]},{"raw_affiliation_string":"University of the Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100520594"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.4178,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70659193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4164","last_page":"4174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9851999878883362,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9828000068664551,"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/computer-science","display_name":"Computer science","score":0.8389177918434143},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6414138078689575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6166466474533081},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5862478017807007},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5414540767669678},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.498807430267334},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4914025068283081},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4843231737613678},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3632168769836426},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23388728499412537}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8389177918434143},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6414138078689575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6166466474533081},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5862478017807007},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5414540767669678},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.498807430267334},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4914025068283081},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4843231737613678},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3632168769836426},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23388728499412537},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503161.3548055","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3503161.3548055","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3503161.3548055","source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3503161.3548055","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3503161.3548055","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3503161.3548055","source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5327851226","display_name":null,"funder_award_id":"62022083","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5781245177","display_name":null,"funder_award_id":"62022083, U21B2038, 61931008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6212863906","display_name":null,"funder_award_id":"U21B2038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6286933758","display_name":null,"funder_award_id":"2018AAA0102000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6809183074","display_name":null,"funder_award_id":"Project No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G705241639","display_name":null,"funder_award_id":"62022083, U21B2038, 61931008 and 62102133","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7801426869","display_name":null,"funder_award_id":"61931008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8208342437","display_name":null,"funder_award_id":"1 and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8955107213","display_name":null,"funder_award_id":"Major","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G939780494","display_name":null,"funder_award_id":"62102133","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4304080600.pdf","grobid_xml":"https://content.openalex.org/works/W4304080600.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1933349210","https://openalex.org/W2142192571","https://openalex.org/W2185175083","https://openalex.org/W2277195237","https://openalex.org/W2463565445","https://openalex.org/W2479423890","https://openalex.org/W2560730294","https://openalex.org/W2561296180","https://openalex.org/W2561715562","https://openalex.org/W2600463316","https://openalex.org/W2607059968","https://openalex.org/W2629538667","https://openalex.org/W2745461083","https://openalex.org/W2803620531","https://openalex.org/W2898071615","https://openalex.org/W2921873695","https://openalex.org/W2962749469","https://openalex.org/W2962861647","https://openalex.org/W2962958773","https://openalex.org/W2963051286","https://openalex.org/W2963087285","https://openalex.org/W2963112696","https://openalex.org/W2963191264","https://openalex.org/W2963260436","https://openalex.org/W2963351776","https://openalex.org/W2963398599","https://openalex.org/W2963518342","https://openalex.org/W2963536419","https://openalex.org/W2963938081","https://openalex.org/W2963976294","https://openalex.org/W2964065333","https://openalex.org/W2964118342","https://openalex.org/W2964138343","https://openalex.org/W2964303913","https://openalex.org/W2965628639","https://openalex.org/W2980345007","https://openalex.org/W2990138404","https://openalex.org/W3019023591","https://openalex.org/W3035017890","https://openalex.org/W3093385053","https://openalex.org/W3094950914","https://openalex.org/W3095718427","https://openalex.org/W3133092047","https://openalex.org/W3167783161","https://openalex.org/W3202778561","https://openalex.org/W3206082179","https://openalex.org/W3206904785","https://openalex.org/W4213019668","https://openalex.org/W6739930931"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W2329500892","https://openalex.org/W2115758952","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W2366230879","https://openalex.org/W3208425359"],"abstract_inverted_index":{"The":[0],"task":[1],"of":[2,217],"Visual":[3,22],"Question":[4,23],"Generation":[5],"(VQG)":[6],"aims":[7],"to":[8,38,57,67,96,132,198,213],"generate":[9,68],"natural":[10],"language":[11],"questions":[12,40,70,139,149],"for":[13,189],"images.":[14],"Many":[15],"methods":[16,48],"regard":[17],"it":[18],"as":[19,129],"a":[20,29,65,81,103,120,130,201],"reverse":[21],"Answering":[24],"(VQA)":[25],"task.":[26],"They":[27],"trained":[28],"data-driven":[30],"generator":[31],"on":[32,51],"VQA":[33,220],"datasets,":[34],"which":[35,87],"is":[36],"hard":[37],"obtain":[39],"that":[41,146],"can":[42,88,176],"challenge":[43],"robots":[44],"and":[45,92,159,161,173,187,209],"humans.":[46],"Other":[47],"rely":[49],"heavily":[50],"elaborate":[52],"but":[53],"expensive":[54],"artificial":[55],"preprocessing":[56],"generate.":[58],"To":[59],"overcome":[60],"these":[61],"limitations,":[62],"we":[63,194],"propose":[64],"method":[66,78,153,183,197],"inferential":[69,142,164],"from":[71,112],"the":[72,97,113,125,134,147,169,215],"image":[73],"with":[74,108,140],"noisy":[75],"captions.":[76],"Our":[77],"first":[79],"introduces":[80],"core":[82,105,126],"scene":[83,99,106,127],"graph":[84,107,128],"generation":[85,122],"module,":[86],"align":[89],"text":[90],"features":[91,95],"salient":[93,170],"visual":[94,148],"initial":[98],"graph.":[100],"It":[101],"constructs":[102],"special":[104],"expanded":[109],"linkage":[110],"outwards":[111],"high-confidence":[114],"nodes":[115],"hop":[116],"by":[117,151,179],"hop.":[118],"Next,":[119],"question":[121],"module":[123],"uses":[124],"basis":[131],"instantiate":[133],"function":[135,174],"templates,":[136],"resulting":[137],"in":[138,156],"varying":[141],"paths.":[143],"Experiments":[144],"show":[145],"generated":[150],"our":[152,182,196],"are":[154],"controllable":[155],"both":[157],"content":[158],"difficulty,":[160],"demonstrate":[162],"clear":[163],"properties.":[165],"In":[166],"addition,":[167],"since":[168],"region,":[171],"captions,":[172],"templates":[175],"be":[177],"replaced":[178],"human-customized":[180],"ones,":[181],"has":[184],"strong":[185],"scalability":[186],"potential":[188],"more":[190,218],"interactive":[191],"applications.":[192],"Finally,":[193],"use":[195],"automatically":[199],"build":[200],"new":[202],"dataset,":[203],"InVQA,":[204],"containing":[205],"about":[206],"120k":[207],"images":[208],"480k":[210],"question-answer":[211],"pairs,":[212],"facilitate":[214],"development":[216],"versatile":[219],"models.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
