{"id":"https://openalex.org/W7214976309","doi":"https://doi.org/10.59717/ipj.aiplus.2026.100015","title":"When does heterogeneous structured evidence help? A unified benchmark for structured-data modeling","display_name":"When does heterogeneous structured evidence help? A unified benchmark for structured-data modeling","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7214976309","doi":"https://doi.org/10.59717/ipj.aiplus.2026.100015"},"language":"en","primary_location":{"id":"doi:10.59717/ipj.aiplus.2026.100015","doi":"https://doi.org/10.59717/ipj.aiplus.2026.100015","is_oa":true,"landing_page_url":"https://doi.org/10.59717/ipj.aiplus.2026.100015","pdf_url":"https://www.the-innovation.org/data/article/ai-plus/preview/pdf/AIPLUS-2026-0055.pdf","source":{"id":"https://openalex.org/S7407068458","display_name":"AI Plus","issn_l":"3136-6120","issn":["3136-6120"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AI Plus","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.the-innovation.org/data/article/ai-plus/preview/pdf/AIPLUS-2026-0055.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5151886059","display_name":"Kaijie Cheng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaijie Cheng","raw_affiliation_strings":["Department of Computer Science , Tsinghua University , Beijing 100084 , China","Stable AI , Beijing 100084 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science , Tsinghua University , Beijing 100084 , China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Stable AI , Beijing 100084 , China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153557217","display_name":"Nuo Xu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nuo Xu","raw_affiliation_strings":["Stable AI , Beijing 100084 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stable AI , Beijing 100084 , China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153641966","display_name":"Xingxuan Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingxuan Zhang","raw_affiliation_strings":["Department of Computer Science , Tsinghua University , Beijing 100084 , China","Stable AI , Beijing 100084 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science , Tsinghua University , Beijing 100084 , China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Stable AI , Beijing 100084 , China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153651638","display_name":"Li Mao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Mao","raw_affiliation_strings":["Stable AI , Beijing 100084 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stable AI , Beijing 100084 , China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153627792","display_name":"Shuyang Li","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuyang Li","raw_affiliation_strings":["Stable AI , Beijing 100084 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stable AI , Beijing 100084 , China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109650457","display_name":"Yongle Lv","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongle Lv","raw_affiliation_strings":["Stable AI , Beijing 100084 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stable AI , Beijing 100084 , China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153568719","display_name":"Chunyu Hu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyu Hu","raw_affiliation_strings":["Intelligent Computing Laboratory , Nankai University , Tianjin 300457 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Computing Laboratory , Nankai University , Tianjin 300457 , China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125490350","display_name":"Tianyin Liao","orcid":"https://orcid.org/0009-0004-4662-5740","observed_orcids":["https://orcid.org/0009-0004-4662-5740"]},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyin Liao","raw_affiliation_strings":["Intelligent Computing Laboratory , Nankai University , Tianjin 300457 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Computing Laboratory , Nankai University , Tianjin 300457 , China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153652606","display_name":"Xinmiao Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinmiao Wang","raw_affiliation_strings":["School of Software Engineering , Beihang University , Beijing 100191 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering , Beihang University , Beijing 100191 , China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153627153","display_name":"Menghui Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Menghui Wang","raw_affiliation_strings":["School of Software Engineering , Beihang University , Beijing 100191 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering , Beihang University , Beijing 100191 , China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153647280","display_name":"Jinghan Zhang","orcid":null,"observed_orcids":[]},"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":"Jinghan Zhang","raw_affiliation_strings":["School of Artificial Intelligence , Beijing University of Posts and Telecommunications , Beijing 100876 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence , Beijing University of Posts and Telecommunications , Beijing 100876 , China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153651182","display_name":"Jiasheng Huang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiasheng Huang","raw_affiliation_strings":["School of Statistics , Renmin University of China , Beijing 100872 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics , Renmin University of China , Beijing 100872 , China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153595571","display_name":"Xiao Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wang","raw_affiliation_strings":["School of Software Engineering , Beihang University , Beijing 100191 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering , Beihang University , Beijing 100191 , China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5153661409","display_name":"Peng Cui","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Cui","raw_affiliation_strings":["Department of Computer Science , Tsinghua University , Beijing 100084 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science , Tsinghua University , Beijing 100084 , China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5153641966","https://openalex.org/A5153661409"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.64039187,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":"1","first_page":"100015","last_page":"100015"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9032999873161316,"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":0.9032999873161316,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.06469999998807907,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.00800000037997961,"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/benchmark","display_name":"benchmark","score":0.46799999475479126},{"id":"https://openalex.org/keywords/cross-modal-interaction","display_name":"cross-modal interaction","score":0.703000009059906},{"id":"https://openalex.org/keywords/target-rotation","display_name":"target rotation","score":0.5149999856948853},{"id":"https://openalex.org/keywords/time-series-forecasting","display_name":"time series forecasting","score":0.675000011920929},{"id":"https://openalex.org/keywords/relational-data","display_name":"relational data","score":0.4410000145435333},{"id":"https://openalex.org/keywords/multimodal-fusion","display_name":"multimodal fusion","score":0.6010000109672546}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8263000249862671},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.8158000111579895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8029000163078308},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.6298999786376953},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5590999722480774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5227000117301941},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36890000104904175},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.34529998898506165},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C45493050","wikidata":"https://www.wikidata.org/wiki/Q7884934","display_name":"Unified Model","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.59717/ipj.aiplus.2026.100015","doi":"https://doi.org/10.59717/ipj.aiplus.2026.100015","is_oa":true,"landing_page_url":"https://doi.org/10.59717/ipj.aiplus.2026.100015","pdf_url":"https://www.the-innovation.org/data/article/ai-plus/preview/pdf/AIPLUS-2026-0055.pdf","source":{"id":"https://openalex.org/S7407068458","display_name":"AI Plus","issn_l":"3136-6120","issn":["3136-6120"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AI Plus","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.59717/ipj.aiplus.2026.100015","doi":"https://doi.org/10.59717/ipj.aiplus.2026.100015","is_oa":true,"landing_page_url":"https://doi.org/10.59717/ipj.aiplus.2026.100015","pdf_url":"https://www.the-innovation.org/data/article/ai-plus/preview/pdf/AIPLUS-2026-0055.pdf","source":{"id":"https://openalex.org/S7407068458","display_name":"AI Plus","issn_l":"3136-6120","issn":["3136-6120"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AI Plus","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G4427191711","display_name":null,"funder_award_id":"62141607","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5649149189","display_name":null,"funder_award_id":"62425206","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/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214976309.pdf","grobid_xml":"https://content.openalex.org/works/W7214976309.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1932088538","https://openalex.org/W2081988641","https://openalex.org/W2132862423","https://openalex.org/W2295598076","https://openalex.org/W2519887557","https://openalex.org/W2528639018","https://openalex.org/W2619383789","https://openalex.org/W2624431344","https://openalex.org/W2738581557","https://openalex.org/W2756203131","https://openalex.org/W2766453196","https://openalex.org/W2768008502","https://openalex.org/W2798476254","https://openalex.org/W2894175828","https://openalex.org/W2947476638","https://openalex.org/W2963507686","https://openalex.org/W2964346351","https://openalex.org/W2965341826","https://openalex.org/W3021975806","https://openalex.org/W3038981236","https://openalex.org/W3134144764","https://openalex.org/W3163375505","https://openalex.org/W3173539742","https://openalex.org/W3174082502","https://openalex.org/W3177318507","https://openalex.org/W3180718533","https://openalex.org/W4223600433","https://openalex.org/W4283315029","https://openalex.org/W4302009014","https://openalex.org/W4310416691","https://openalex.org/W4324144701","https://openalex.org/W4382203079","https://openalex.org/W4382239247","https://openalex.org/W4387561305","https://openalex.org/W4389598999","https://openalex.org/W4391631862","https://openalex.org/W4392490786","https://openalex.org/W4393905663","https://openalex.org/W4399808795","https://openalex.org/W4403600951","https://openalex.org/W4404307573","https://openalex.org/W4410343047","https://openalex.org/W4414971586","https://openalex.org/W4415797300","https://openalex.org/W4415798762","https://openalex.org/W4416234289","https://openalex.org/W4417414862","https://openalex.org/W7133186244","https://openalex.org/W7133200245","https://openalex.org/W7133227636","https://openalex.org/W7133238715","https://openalex.org/W7133245391","https://openalex.org/W7167265752","https://openalex.org/W7196938361","https://openalex.org/W7213412166"],"related_works":["https://openalex.org/W7202163516","https://openalex.org/W7164001278","https://openalex.org/W3180718533","https://openalex.org/W4404342288","https://openalex.org/W7166847927","https://openalex.org/W7211879392","https://openalex.org/W4383175983","https://openalex.org/W7131459692","https://openalex.org/W7163436994","https://openalex.org/W4378713405"],"abstract_inverted_index":{"Real-world":[0],"entities":[1],"are":[2,135],"often":[3],"characterized":[4],"by":[5,98,114],"heterogeneous":[6,193],"structured":[7,194],"information,":[8],"including":[9],"static":[10,117],"attributes,":[11],"temporal":[12],"dynamics,":[13],"and":[14,71,94,138,145,171],"relational":[15],"dependencies.":[16],"However,":[17],"existing":[18],"benchmarks":[19],"provide":[20],"limited":[21],"understanding":[22],"of":[23,65,111,190],"whether":[24],"multimodal":[25,49,63,133,169,186],"models":[26,152],"can":[27,175],"effectively":[28,176],"exploit":[29],"complementary":[30,165],"information":[31,96,166],"across":[32],"these":[33],"modalities.":[34,100],"In":[35],"this":[36],"work,":[37],"we":[38,59],"introduce":[39],"Trimodal":[40],"Structured-Data":[41],"Benchmark":[42],"(TSDBench),":[43],"an":[44],"entity-centric":[45],"benchmark":[46,66],"for":[47,57,183],"evaluating":[48],"structured-data":[50],"learning.":[51],"To":[52],"establish":[53],"a":[54,104,160],"reliable":[55],"foundation":[56],"evaluation,":[58],"first":[60],"verify":[61],"the":[62,91,142,149,164,181],"complementarity":[64],"tasks":[67],"from":[68,80],"both":[69],"empirical":[70],"theoretical":[72],"perspectives:":[73],"input-ablation":[74],"experiments":[75,130],"demonstrate":[76],"widespread":[77],"predictive":[78],"gains":[79,134],"incorporating":[81],"additional":[82],"modalities,":[83],"while":[84],"Flow-Partial":[85],"Information":[86],"Decomposition":[87],"(Flow-PID)":[88],"analysis":[89,110,158],"quantifies":[90],"unique,":[92],"redundant,":[93],"synergistic":[95],"contributed":[97],"different":[99,116],"Furthermore,":[101],"TSDBench":[102],"adopts":[103],"target-rotation":[105],"design":[106],"that":[107,132],"enables":[108],"systematic":[109],"cross-modal":[112],"interactions":[113],"allowing":[115],"features":[118],"or":[119],"time":[120],"series":[121],"signals":[122],"to":[123],"alternately":[124],"serve":[125],"as":[126],"prediction":[127],"targets.":[128],"Extensive":[129],"reveal":[131],"highly":[136],"task-dependent":[137],"asymmetric,":[139],"varying":[140],"with":[141],"target":[143],"modality":[144],"dataset":[146],"characteristics.":[147],"Although":[148],"proposed":[150],"fusion":[151],"achieve":[153],"strong":[154],"overall":[155],"performance,":[156],"Flow-PID":[157],"exposes":[159],"substantial":[161],"gap":[162],"between":[163],"available":[167],"in":[168],"data":[170],"what":[172],"current":[173],"architectures":[174],"exploit.":[177],"These":[178],"findings":[179],"highlight":[180],"need":[182],"more":[184],"adaptive":[185],"learning":[187],"methods":[188],"capable":[189],"selectively":[191],"leveraging":[192],"evidence.":[195]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-10-01T00:00:00"}
