{"id":"https://openalex.org/W6948200040","doi":"https://doi.org/10.48550/arxiv.2508.07995","title":"DIVER: A Multi-Stage Approach for Reasoning-intensive Information Retrieval","display_name":"DIVER: A Multi-Stage Approach for Reasoning-intensive Information Retrieval","publication_year":2025,"publication_date":"2025-08-11","ids":{"openalex":"https://openalex.org/W6948200040","doi":"https://doi.org/10.48550/arxiv.2508.07995"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2508.07995","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.07995","pdf_url":"https://arxiv.org/pdf/2508.07995","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2508.07995","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Sun, Duolin","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405270328","display_name":"Ant Group (China)","ror":"https://ror.org/00g5w7n47","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405270328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sun, Duolin","raw_affiliation_strings":["Ant Group , Hangzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group , Hangzhou , China","institution_ids":["https://openalex.org/I4405270328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113268703","display_name":"Meixiu Long","orcid":"https://orcid.org/0009-0000-4009-0811","observed_orcids":["https://orcid.org/0009-0000-4009-0811"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Long, Meixiu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Yang, Dan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405270328","display_name":"Ant Group (China)","ror":"https://ror.org/00g5w7n47","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405270328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang, Dan","raw_affiliation_strings":["Ant Group , Hangzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group , Hangzhou , China","institution_ids":["https://openalex.org/I4405270328"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wang, Junjie","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4405270328","display_name":"Ant Group (China)","ror":"https://ror.org/00g5w7n47","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405270328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang, Junjie","raw_affiliation_strings":["Ant Group , Hangzhou , China","Sun Yat-sen University , Guangzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group , Hangzhou , China","institution_ids":["https://openalex.org/I4405270328"]},{"raw_affiliation_string":"Sun Yat-sen University , Guangzhou , China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Luo, Yecheng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405270328","display_name":"Ant Group (China)","ror":"https://ror.org/00g5w7n47","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405270328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luo, Yecheng","raw_affiliation_strings":["Ant Group , Hangzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group , Hangzhou , China","institution_ids":["https://openalex.org/I4405270328"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shen, Yue","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405270328","display_name":"Ant Group (China)","ror":"https://ror.org/00g5w7n47","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405270328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shen, Yue","raw_affiliation_strings":["Ant Group , Hangzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group , Hangzhou , China","institution_ids":["https://openalex.org/I4405270328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370361","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0001-7683-6937","observed_orcids":["https://orcid.org/0000-0001-7683-6937","https://orcid.org/0009-0003-3204-9685","https://orcid.org/0009-0007-3900-3355"]},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4405270328","display_name":"Ant Group (China)","ror":"https://ror.org/00g5w7n47","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405270328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang, Jian","raw_affiliation_strings":["Ant Group , Hangzhou , China","Sun Yat-sen University , Guangzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group , Hangzhou , China","institution_ids":["https://openalex.org/I4405270328"]},{"raw_affiliation_string":"Sun Yat-sen University , Guangzhou , China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhou, Hualei","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405270328","display_name":"Ant Group (China)","ror":"https://ror.org/00g5w7n47","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405270328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou, Hualei","raw_affiliation_strings":["Ant Group , Hangzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group , Hangzhou , China","institution_ids":["https://openalex.org/I4405270328"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guo, Chunxiao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405270328","display_name":"Ant Group (China)","ror":"https://ror.org/00g5w7n47","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405270328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo, Chunxiao","raw_affiliation_strings":["Ant Group , Hangzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group , Hangzhou , China","institution_ids":["https://openalex.org/I4405270328"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei, Peng","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Peng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Wang, Jiahai","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4405270328","display_name":"Ant Group (China)","ror":"https://ror.org/00g5w7n47","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405270328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang, Jiahai","raw_affiliation_strings":["Ant Group , Hangzhou , China","Sun Yat-sen University , Guangzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group , Hangzhou , China","institution_ids":["https://openalex.org/I4405270328"]},{"raw_affiliation_string":"Sun Yat-sen University , Guangzhou , China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":null,"display_name":"Gu, Jinjie","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405270328","display_name":"Ant Group (China)","ror":"https://ror.org/00g5w7n47","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405270328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gu, Jinjie","raw_affiliation_strings":["Ant Group , Hangzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group , Hangzhou , China","institution_ids":["https://openalex.org/I4405270328"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10028","display_name":"Topic Modeling","score":0.0026000000070780516,"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/T10203","display_name":"Recommender Systems and Techniques","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/retrieval-augmented-generation","display_name":"retrieval-augmented generation","score":0.9850000143051147},{"id":"https://openalex.org/keywords/query-expansion","display_name":"query expansion","score":0.6930000185966492},{"id":"https://openalex.org/keywords/document-image-preprocessing","display_name":"document preprocessing","score":0.7269999980926514},{"id":"https://openalex.org/keywords/document-segmentation","display_name":"document segmentation","score":0.6320000290870667},{"id":"https://openalex.org/keywords/hard-negative-mining","display_name":"hard negative mining","score":0.5540000200271606},{"id":"https://openalex.org/keywords/re-ranking","display_name":"re-ranking","score":0.8090000152587891},{"id":"https://openalex.org/keywords/synthetic-training-data","display_name":"synthetic training data","score":0.4909999966621399}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8190000057220459},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6784999966621399},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6699000000953674},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6525999903678894},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6151999831199646},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.6110000014305115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48980000615119934},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.438400000333786},{"id":"https://openalex.org/C2778143727","wikidata":"https://www.wikidata.org/wiki/Q1820650","display_name":"Readability","level":2,"score":0.4066999852657318},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.40639999508857727},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3828999996185303},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.3714999854564667},{"id":"https://openalex.org/C7797323","wikidata":"https://www.wikidata.org/wiki/Q3798612","display_name":"Pointwise mutual information","level":3,"score":0.34880000352859497},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.3353999853134155},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.3328000009059906},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.3305000066757202},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3294999897480011},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30309998989105225},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27320000529289246},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C90288658","wikidata":"https://www.wikidata.org/wiki/Q3318149","display_name":"Human\u2013computer information retrieval","level":3,"score":0.2671999931335449},{"id":"https://openalex.org/C2474386","wikidata":"https://www.wikidata.org/wiki/Q461183","display_name":"Text corpus","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C551230270","wikidata":"https://www.wikidata.org/wiki/Q4368942","display_name":"Data retrieval","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2508.07995","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.07995","pdf_url":"https://arxiv.org/pdf/2508.07995","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"doi:10.48550/arxiv.2508.07995","doi":"https://doi.org/10.48550/arxiv.2508.07995","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2508.07995","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2508.07995","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.07995","pdf_url":"https://arxiv.org/pdf/2508.07995","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality education","score":0.4982224404811859}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W6948200040.pdf","grobid_xml":"https://content.openalex.org/works/W6948200040.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Retrieval-augmented":[0],"generation":[1],"has":[2],"achieved":[3],"strong":[4],"performance":[5],"on":[6,105,154],"knowledge-intensive":[7],"tasks":[8],"where":[9],"query-document":[10],"relevance":[11],"can":[12],"be":[13],"identified":[14],"through":[15],"direct":[16],"lexical":[17],"or":[18,30],"semantic":[19],"matches.":[20],"However,":[21],"many":[22],"real-world":[23,173],"queries":[24,89],"involve":[25],"abstract":[26],"reasoning,":[27],"analogical":[28],"thinking,":[29],"multi-step":[31],"inference,":[32],"which":[33],"existing":[34],"retrievers":[35],"often":[36],"struggle":[37],"to":[38,85,132],"capture.":[39],"To":[40],"address":[41],"this":[42],"challenge,":[43],"we":[44],"present":[45],"DIVER,":[46],"a":[47,102],"retrieval":[48,99,169],"pipeline":[49],"designed":[50],"for":[51],"reasoning-intensive":[52,121],"information":[53],"retrieval.":[54],"It":[55],"consists":[56],"of":[57,120,149,167],"four":[58],"components.":[59],"The":[60,77,98],"document":[61],"preprocessing":[62],"stage":[63,80,100,126],"enhances":[64],"readability":[65],"and":[66,73,93,110,129,136,152],"preserves":[67],"content":[68],"by":[69],"cleaning":[70],"noisy":[71],"texts":[72],"segmenting":[74],"long":[75],"documents.":[76,97],"query":[78],"expansion":[79],"leverages":[81],"large":[82],"language":[83],"models":[84],"iteratively":[86],"refine":[87],"user":[88],"with":[90,114],"explicit":[91],"reasoning":[92],"evidence":[94],"from":[95],"retrieved":[96],"employs":[101],"model":[103],"fine-tuned":[104],"synthetic":[106],"data":[107],"spanning":[108],"medical":[109],"mathematical":[111],"domains,":[112],"along":[113],"hard":[115],"negatives,":[116],"enabling":[117],"effective":[118],"handling":[119],"queries.":[122],"Finally,":[123],"the":[124,141,165],"reranking":[125],"combines":[127],"pointwise":[128],"listwise":[130],"strategies":[131,170],"produce":[133],"both":[134],"fine-grained":[135],"globally":[137],"consistent":[138],"rankings.":[139],"On":[140],"BRIGHT":[142],"benchmark,":[143],"DIVER":[144],"achieves":[145],"state-of-the-art":[146],"nDCG@10":[147],"scores":[148],"46.8":[150],"overall":[151],"31.9":[153],"original":[155],"queries,":[156],"consistently":[157],"outperforming":[158],"competitive":[159],"reasoning-aware":[160,168],"models.":[161],"These":[162],"results":[163],"demonstrate":[164],"effectiveness":[166],"in":[171],"complex":[172],"tasks.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-19T09:35:57.686232","created_date":"2025-10-10T00:00:00"}
