{"id":"https://openalex.org/W3144410196","doi":"https://doi.org/10.1007/s41781-021-00073-z","title":"Charged Particle Tracking via Edge-Classifying Interaction Networks","display_name":"Charged Particle Tracking via Edge-Classifying Interaction Networks","publication_year":2021,"publication_date":"2021-11-15","ids":{"openalex":"https://openalex.org/W3144410196","doi":"https://doi.org/10.1007/s41781-021-00073-z","mag":"3144410196"},"language":"en","primary_location":{"id":"doi:10.1007/s41781-021-00073-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41781-021-00073-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41781-021-00073-z.pdf","source":{"id":"https://openalex.org/S4210229695","display_name":"Computing and Software for Big Science","issn_l":"2510-2036","issn":["2510-2036","2510-2044"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Software for Big Science","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s41781-021-00073-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5105785298","display_name":"G. Dezoort","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gage DeZoort","raw_affiliation_strings":["Princeton University, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079518343","display_name":"S. J. Thais","orcid":"https://orcid.org/0000-0001-8214-2763"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Savannah Thais","raw_affiliation_strings":["Princeton University, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111443859","display_name":"I. Ojalvo","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Javier Duarte","raw_affiliation_strings":["University of California San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031846245","display_name":"P. Elmer","orcid":"https://orcid.org/0000-0001-6830-3356"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vesal Razavimaleki","raw_affiliation_strings":["University of California San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073953428","display_name":"Vesal Razavimaleki","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Markus Atkinson","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100747243","display_name":"J. Duarte","orcid":"https://orcid.org/0000-0002-5076-7096"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Isobel Ojalvo","raw_affiliation_strings":["Princeton University, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114423012","display_name":"Markus Julian Atkinson","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark Neubauer","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114374383","display_name":"M. S. Neubauer","orcid":"https://orcid.org/0000-0001-8434-9274"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Elmer","raw_affiliation_strings":["Princeton University, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5105785298"],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":{"value":2590,"currency":"EUR","value_usd":3280},"apc_paid":{"value":2590,"currency":"EUR","value_usd":3280},"fwci":3.0101,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.93491612,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"5","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.98580002784729,"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":0.9829000234603882,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5920160412788391},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5891575813293457},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4830630421638489},{"id":"https://openalex.org/keywords/distance-matrix","display_name":"Distance matrix","score":0.4774235486984253},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4247472882270813},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3656785488128662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35309529304504395},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24993732571601868}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5920160412788391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5891575813293457},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4830630421638489},{"id":"https://openalex.org/C111208986","wikidata":"https://www.wikidata.org/wiki/Q901698","display_name":"Distance matrix","level":2,"score":0.4774235486984253},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4247472882270813},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3656785488128662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35309529304504395},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24993732571601868},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1007/s41781-021-00073-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41781-021-00073-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41781-021-00073-z.pdf","source":{"id":"https://openalex.org/S4210229695","display_name":"Computing and Software for Big Science","issn_l":"2510-2036","issn":["2510-2036","2510-2044"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Software for Big Science","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2103.16701","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.16701","pdf_url":"https://arxiv.org/pdf/2103.16701","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3144410196","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2103.16701","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:cds.cern.ch:2767798","is_oa":false,"landing_page_url":"http://cds.cern.ch/record/2767798","pdf_url":null,"source":{"id":"https://openalex.org/S4306402195","display_name":"CERN Document Server (European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:osti.gov:1830281","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1830281","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"doi:10.48550/arxiv.2103.16701","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2103.16701","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"article-journal"}],"best_oa_location":{"id":"doi:10.1007/s41781-021-00073-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41781-021-00073-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41781-021-00073-z.pdf","source":{"id":"https://openalex.org/S4210229695","display_name":"Computing and Software for Big Science","issn_l":"2510-2036","issn":["2510-2036","2510-2044"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Software for Big Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3144410196.pdf","grobid_xml":"https://content.openalex.org/works/W3144410196.grobid-xml"},"referenced_works_count":86,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1673310716","https://openalex.org/W1963645149","https://openalex.org/W1978907438","https://openalex.org/W1995883431","https://openalex.org/W2066293110","https://openalex.org/W2068645012","https://openalex.org/W2111529652","https://openalex.org/W2114766824","https://openalex.org/W2116341502","https://openalex.org/W2118810554","https://openalex.org/W2152231764","https://openalex.org/W2156387975","https://openalex.org/W2300242332","https://openalex.org/W2469490737","https://openalex.org/W2524428287","https://openalex.org/W2552391307","https://openalex.org/W2558748708","https://openalex.org/W2560609797","https://openalex.org/W2565125333","https://openalex.org/W2604487509","https://openalex.org/W2606780347","https://openalex.org/W2613749828","https://openalex.org/W2624881227","https://openalex.org/W2626778328","https://openalex.org/W2756071324","https://openalex.org/W2777349738","https://openalex.org/W2792760996","https://openalex.org/W2798084934","https://openalex.org/W2800357991","https://openalex.org/W2805516822","https://openalex.org/W2884150179","https://openalex.org/W2889797931","https://openalex.org/W2891946740","https://openalex.org/W2896410853","https://openalex.org/W2907463061","https://openalex.org/W2907492528","https://openalex.org/W2916639378","https://openalex.org/W2924049058","https://openalex.org/W2939979914","https://openalex.org/W2963029056","https://openalex.org/W2963112338","https://openalex.org/W2963114950","https://openalex.org/W2963521187","https://openalex.org/W2964121744","https://openalex.org/W2964299589","https://openalex.org/W2968312879","https://openalex.org/W2970277060","https://openalex.org/W2970971581","https://openalex.org/W2975089235","https://openalex.org/W2977485436","https://openalex.org/W2979750740","https://openalex.org/W3004963134","https://openalex.org/W3011509423","https://openalex.org/W3011667710","https://openalex.org/W3013398575","https://openalex.org/W3038041907","https://openalex.org/W3045102472","https://openalex.org/W3045164669","https://openalex.org/W3048084597","https://openalex.org/W3084262107","https://openalex.org/W3101493857","https://openalex.org/W3102169921","https://openalex.org/W3104395752","https://openalex.org/W3107340688","https://openalex.org/W3107418196","https://openalex.org/W3118963690","https://openalex.org/W3119613749","https://openalex.org/W3119962849","https://openalex.org/W3124370889","https://openalex.org/W3125056032","https://openalex.org/W3132597740","https://openalex.org/W3133521418","https://openalex.org/W3134114524","https://openalex.org/W3152893301","https://openalex.org/W3158499690","https://openalex.org/W3175548485","https://openalex.org/W3175799302","https://openalex.org/W3177366646","https://openalex.org/W3194062250","https://openalex.org/W4210257598","https://openalex.org/W4293385364","https://openalex.org/W6603692524","https://openalex.org/W6931285066","https://openalex.org/W6950393573","https://openalex.org/W6968655253"],"related_works":["https://openalex.org/W3211612862","https://openalex.org/W3110585492","https://openalex.org/W2805672056","https://openalex.org/W2906516362","https://openalex.org/W3176603920","https://openalex.org/W2223342822","https://openalex.org/W2892076027","https://openalex.org/W2925298994","https://openalex.org/W3023972856","https://openalex.org/W3172275275","https://openalex.org/W2798875622","https://openalex.org/W1987187438","https://openalex.org/W2035800562","https://openalex.org/W2783234999","https://openalex.org/W2936340918","https://openalex.org/W3009274836","https://openalex.org/W2959494739","https://openalex.org/W2769249386","https://openalex.org/W2773647636","https://openalex.org/W2600373426"],"abstract_inverted_index":{"Abstract":[0],"Recent":[1],"work":[2],"has":[3],"demonstrated":[4],"that":[5],"geometric":[6],"deep":[7],"learning":[8],"methods":[9],"such":[10],"as":[11,38,46,51,152,173],"graph":[12,40,128],"neural":[13],"networks":[14],"(GNNs)":[15],"are":[16,35,187],"well":[17],"suited":[18],"to":[19,64,89,189],"address":[20],"a":[21,39,54,118,153,175,182],"variety":[22],"of":[23,56,82,120,125,177],"reconstruction":[24],"problems":[25],"in":[26,85,155,163],"high-energy":[27],"particle":[28,32,49,66,83,104],"physics.":[29],"In":[30,68],"particular,":[31],"tracking":[33,84,115,146,162],"data":[34],"naturally":[36],"represented":[37,172],"by":[41],"identifying":[42],"silicon":[43],"tracker":[44],"hits":[45],"nodes":[47],"and":[48,114,132,200],"trajectories":[50],"edges,":[52,58],"given":[53],"set":[55,176],"hypothesized":[57],"edge-classifying":[59],"GNNs":[60],"identify":[61],"those":[62,90],"corresponding":[63],"real":[65],"trajectories.":[67],"this":[69,148],"work,":[70],"we":[71,107],"adapt":[72],"the":[73,80,93,109,168],"physics-motivated":[74],"interaction":[75],"network":[76],"(IN)":[77],"GNN":[78,145],"toward":[79],"problem":[81],"pileup":[86],"conditions":[87],"similar":[88],"expected":[91],"at":[92,102,122],"high-luminosity":[94],"Large":[95],"Hadron":[96],"Collider.":[97],"Assuming":[98],"idealized":[99],"hit":[100],"filtering":[101],"various":[103],"momenta":[105],"thresholds,":[106],"demonstrate":[108],"IN\u2019s":[110],"excellent":[111],"edge-classification":[112],"accuracy":[113],"efficiency":[116],"through":[117],"suite":[119],"measurements":[121],"each":[123,191],"stage":[124],"GNN-based":[126,161],"tracking:":[127],"construction,":[129],"edge":[130],"classification,":[131],"track":[133],"building.":[134],"The":[135],"proposed":[136],"IN":[137,169],"architecture":[138],"is":[139,149,157],"substantially":[140],"smaller":[141],"than":[142],"previously":[143],"studied":[144],"architectures;":[147],"particularly":[150],"promising":[151],"reduction":[154],"size":[156],"critical":[158],"for":[159],"enabling":[160],"constrained":[164],"computing":[165,195],"environments.":[166],"Furthermore,":[167],"may":[170],"be":[171],"either":[174],"explicit":[178],"matrix":[179],"operations":[180],"or":[181],"message":[183],"passing":[184],"GNN.":[185],"Efforts":[186],"underway":[188],"accelerate":[190],"representation":[192],"via":[193],"heterogeneous":[194],"resources":[196],"towards":[197],"both":[198],"high-level":[199],"low-latency":[201],"triggering":[202],"applications.":[203]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}