{"id":"https://openalex.org/W4409346885","doi":"https://doi.org/10.1093/bib/bbaf147","title":"Consistent semantic representation learning for out-of-distribution molecular property prediction","display_name":"Consistent semantic representation learning for out-of-distribution molecular property prediction","publication_year":2025,"publication_date":"2025-03-01","ids":{"openalex":"https://openalex.org/W4409346885","doi":"https://doi.org/10.1093/bib/bbaf147","pmid":"https://pubmed.ncbi.nlm.nih.gov/40205853"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbaf147","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbaf147","pdf_url":"https://academic.oup.com/bib/article-pdf/26/2/bbaf147/62900871/bbaf147.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://academic.oup.com/bib/article-pdf/26/2/bbaf147/62900871/bbaf147.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100310350","display_name":"Xinlong Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinlong Wen","raw_affiliation_strings":["College of Informatics, Huazhong Agricultural University , No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei ,","College of Informatics, Huazhong Agricultural University, No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, People's Republic of China"],"raw_orcid":"https://orcid.org/0009-0009-6740-5540","affiliations":[{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University , No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei ,","institution_ids":["https://openalex.org/I204823248"]},{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, People's Republic of China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458790","display_name":"Hao Liu","orcid":"https://orcid.org/0000-0002-1979-8994"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Liu","raw_affiliation_strings":["College of Informatics, Huazhong Agricultural University , No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei ,","College of Informatics, Huazhong Agricultural University, No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University , No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei ,","institution_ids":["https://openalex.org/I204823248"]},{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, People's Republic of China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065706328","display_name":"Wenhan Long","orcid":"https://orcid.org/0009-0001-7358-0961"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhan Long","raw_affiliation_strings":["College of Informatics, Huazhong Agricultural University , No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei ,","College of Informatics, Huazhong Agricultural University, No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University , No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei ,","institution_ids":["https://openalex.org/I204823248"]},{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, People's Republic of China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111055877","display_name":"Shuoying Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuoying Wei","raw_affiliation_strings":["College of Informatics, Huazhong Agricultural University , No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei ,","College of Informatics, Huazhong Agricultural University, No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University , No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei ,","institution_ids":["https://openalex.org/I204823248"]},{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, People's Republic of China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074401878","display_name":"Rongbo Zhu","orcid":"https://orcid.org/0000-0003-1620-0560"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rongbo Zhu","raw_affiliation_strings":["College of Informatics, Huazhong Agricultural University , No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei ,","College of Informatics, Huazhong Agricultural University, No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University , No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei ,","institution_ids":["https://openalex.org/I204823248"]},{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, People's Republic of China","institution_ids":["https://openalex.org/I204823248"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5074401878"],"corresponding_institution_ids":["https://openalex.org/I204823248"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":{"value":4011,"currency":"USD","value_usd":4011},"fwci":0.7456,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72338878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"26","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10908","display_name":"Analytical Chemistry and Chromatography","score":0.9617000222206116,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.6913416385650635},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6635944247245789},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6605900526046753},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.5052745938301086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48533502221107483},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47906479239463806},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1361486315727234},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.05887767672538757}],"concepts":[{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.6913416385650635},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6635944247245789},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6605900526046753},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.5052745938301086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48533502221107483},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47906479239463806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1361486315727234},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.05887767672538757},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008958","descriptor_name":"Models, Molecular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008958","descriptor_name":"Models, Molecular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008958","descriptor_name":"Models, Molecular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1093/bib/bbaf147","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbaf147","pdf_url":"https://academic.oup.com/bib/article-pdf/26/2/bbaf147/62900871/bbaf147.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:40205853","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40205853","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":"Briefings in bioinformatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11982020","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11982020","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":"Brief Bioinform","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/bib/bbaf147","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbaf147","pdf_url":"https://academic.oup.com/bib/article-pdf/26/2/bbaf147/62900871/bbaf147.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409346885.pdf","grobid_xml":"https://content.openalex.org/works/W4409346885.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1988037271","https://openalex.org/W2010920998","https://openalex.org/W2044834685","https://openalex.org/W2167453047","https://openalex.org/W2200017991","https://openalex.org/W2594183968","https://openalex.org/W3036851434","https://openalex.org/W3165665091","https://openalex.org/W3174824649","https://openalex.org/W3196850540","https://openalex.org/W4233762729","https://openalex.org/W4290948450","https://openalex.org/W4297179162","https://openalex.org/W4310603653","https://openalex.org/W4382458099","https://openalex.org/W4389170174","https://openalex.org/W4391111375","https://openalex.org/W4391568820","https://openalex.org/W4391609537","https://openalex.org/W4391744861","https://openalex.org/W4392351862","https://openalex.org/W4393147936","https://openalex.org/W4393154594","https://openalex.org/W4396621819","https://openalex.org/W4396909799","https://openalex.org/W4399115404","https://openalex.org/W4400046618","https://openalex.org/W4402428756","https://openalex.org/W6636510571","https://openalex.org/W6639480849","https://openalex.org/W6765285020","https://openalex.org/W6774630179","https://openalex.org/W6809701041","https://openalex.org/W6810146391","https://openalex.org/W6810309504","https://openalex.org/W6810511572","https://openalex.org/W6846116613","https://openalex.org/W6852855762","https://openalex.org/W6856756967","https://openalex.org/W6857214341","https://openalex.org/W6857368132","https://openalex.org/W6857758189","https://openalex.org/W6858230807","https://openalex.org/W6861352974"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2582753012","https://openalex.org/W2795079307","https://openalex.org/W4300101497","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W2055929693","https://openalex.org/W2962977872","https://openalex.org/W2379797514","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Invariant":[0],"molecular":[1,12,36,47,106,110,120,159,172,200],"representation":[2,107,129,160,173,201],"models":[3,239],"provide":[4],"potential":[5,95],"solutions":[6],"to":[7,26,31,183],"guarantee":[8,211],"accurate":[9],"prediction":[10,112],"of":[11,35,43,51,118,155,170,192,214],"properties":[13],"under":[14],"distribution":[15],"shifts":[16],"out-of-distribution":[17],"(OOD)":[18],"by":[19,46,67,232],"identifying":[20],"and":[21,39,55,145],"leveraging":[22],"invariant":[23,64,75],"substructures":[24,65],"inherent":[25],"the":[27,32,40,49,63,84,88,94,98,101,109,116,167,185,190,195,207,212,220,229],"molecules.":[28],"However,":[29],"due":[30],"complex":[33],"entanglement":[34],"functional":[37],"groups":[38],"frequent":[41],"display":[42],"activity":[44],"cliffs":[45],"properties,":[48],"separation":[50],"molecules":[52,72],"becomes":[53],"inaccurate":[54],"tricky.":[56],"This":[57],"results":[58],"in":[59,87,157,198],"inconsistent":[60,153],"semantics":[61],"among":[62],"identified":[66],"existing":[68],"models,":[69],"which":[70,136],"means":[71],"sharing":[73],"identical":[74],"structures":[76],"may":[77],"exhibit":[78],"drastically":[79],"different":[80,105,158,199],"properties.":[81],"Focusing":[82],"on":[83,194,240],"aforementioned":[85],"challenges,":[86],"semantic":[89,128,141,148,156,209],"space,":[90],"this":[91,123],"paper":[92,124],"explores":[93],"correlation":[96],"between":[97],"consistent":[99,127,147,208],"semantic-expressing":[100],"same":[102],"information":[103,179,197],"within":[104],"forms-and":[108],"property":[111,121],"problem.":[113],"To":[114,151],"enhance":[115],"performance":[117,213],"OOD":[119],"prediction,":[122],"proposes":[125],"a":[126,140,146],"learning":[130],"(CSRL)":[131],"framework":[132],"without":[133],"separating":[134],"molecules,":[135],"comprises":[137],"two":[138,171],"modules:":[139],"uni-code":[142],"(SUC)":[143],"module":[144],"extractor":[149],"(CSE).":[150],"address":[152],"mapping":[154],"forms,":[161],"SUC":[162],"adjusts":[163],"incorrect":[164],"embeddings":[165,169],"into":[166],"correct":[168],"forms.":[174],"Then,":[175],"CSE":[176,193],"leverages":[177],"non-semantic":[178,196],"as":[180],"training":[181],"labels":[182],"guide":[184],"discriminator's":[186],"learning,":[187],"thereby":[188],"suppressing":[189],"reliance":[191],"embeddings.":[202],"Extensive":[203],"experiments":[204],"demonstrate":[205],"that":[206],"can":[210,218],"models.":[215],"Overall,":[216],"CSRL":[217],"improve":[219],"model's":[221],"average":[222],"Receiver":[223],"Operating":[224],"Characteristic":[225],"-":[226],"Area":[227],"Under":[228],"Curve":[230],"(ROC-AUC)":[231],"6.43%,":[233],"when":[234],"comparing":[235],"with":[236],"11":[237],"state-of-the-art":[238],"12":[241],"datasets.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
