{"id":"https://openalex.org/W7224998347","doi":"https://doi.org/10.67231/rhpd8384","title":"Temporal Layering and Rule-Based Matching in Distributed Settlement Ledgers: A Multi-Horizon Reconciliation Architecture for Financial Break Detection","display_name":"Temporal Layering and Rule-Based Matching in Distributed Settlement Ledgers: A Multi-Horizon Reconciliation Architecture for Financial Break Detection","publication_year":2026,"publication_date":"2026-10-31","ids":{"openalex":"https://openalex.org/W7224998347","doi":"https://doi.org/10.67231/rhpd8384"},"language":"en","primary_location":{"id":"doi:10.67231/rhpd8384","doi":"https://doi.org/10.67231/rhpd8384","is_oa":true,"landing_page_url":"https://doi.org/10.67231/rhpd8384","pdf_url":"https://journals.femington.com/ijisds/article/download/514/194","source":{"id":"https://openalex.org/S7407058765","display_name":"International Journal of Intelligent Systems and Data Science","issn_l":"3143-2328","issn":["3143-2328"],"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":"International Journal of Intelligent Systems and Data Science","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://journals.femington.com/ijisds/article/download/514/194","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5151368911","display_name":"Ujjwal Yadav","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ujjwal Yadav","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5151368911"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.89297302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.6689000129699707,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.6689000129699707,"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/T11719","display_name":"Data Quality and Management","score":0.19779999554157257,"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/T12127","display_name":"Software System Performance and Reliability","score":0.047200001776218414,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/rule-based-matching","display_name":"rule-based matching","score":0.7229999899864197},{"id":"https://openalex.org/keywords/matching-problem","display_name":"matching problem","score":0.3790000081062317},{"id":"https://openalex.org/keywords/exception-management","display_name":"exception management","score":0.5659999847412109},{"id":"https://openalex.org/keywords/discrepancy-detection","display_name":"discrepancy detection","score":0.5849999785423279},{"id":"https://openalex.org/keywords/operational-risk","display_name":"operational risk","score":0.5899999737739563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7031999826431274},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5927000045776367},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5152000188827515},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5049999952316284},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.4320000112056732},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4311999976634979},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.42910000681877136},{"id":"https://openalex.org/C2777063073","wikidata":"https://www.wikidata.org/wiki/Q1553237","display_name":"Settlement (finance)","level":3,"score":0.42089998722076416},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.36329999566078186},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.33869999647140503},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3325999975204468},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.32499998807907104},{"id":"https://openalex.org/C72108876","wikidata":"https://www.wikidata.org/wiki/Q844565","display_name":"Transaction processing","level":3,"score":0.3089999854564667},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.287200003862381},{"id":"https://openalex.org/C176055353","wikidata":"https://www.wikidata.org/wiki/Q1402114","display_name":"Layering","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2551000118255615},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C137180784","wikidata":"https://www.wikidata.org/wiki/Q6997825","display_name":"Nested transaction","level":5,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.67231/rhpd8384","doi":"https://doi.org/10.67231/rhpd8384","is_oa":true,"landing_page_url":"https://doi.org/10.67231/rhpd8384","pdf_url":"https://journals.femington.com/ijisds/article/download/514/194","source":{"id":"https://openalex.org/S7407058765","display_name":"International Journal of Intelligent Systems and Data Science","issn_l":"3143-2328","issn":["3143-2328"],"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":"International Journal of Intelligent Systems and Data Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.67231/rhpd8384","doi":"https://doi.org/10.67231/rhpd8384","is_oa":true,"landing_page_url":"https://doi.org/10.67231/rhpd8384","pdf_url":"https://journals.femington.com/ijisds/article/download/514/194","source":{"id":"https://openalex.org/S7407058765","display_name":"International Journal of Intelligent Systems and Data Science","issn_l":"3143-2328","issn":["3143-2328"],"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":"International Journal of Intelligent Systems and Data Science","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7224998347.pdf","grobid_xml":"https://content.openalex.org/works/W7224998347.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1507350577","https://openalex.org/W2789200469","https://openalex.org/W2914775339","https://openalex.org/W4300127641","https://openalex.org/W4411208043","https://openalex.org/W4413456069","https://openalex.org/W4414463024","https://openalex.org/W4416183136","https://openalex.org/W7130722365","https://openalex.org/W7131455612","https://openalex.org/W7133190556","https://openalex.org/W7138837888","https://openalex.org/W7163879720","https://openalex.org/W7203966531","https://openalex.org/W7204275208","https://openalex.org/W7212248002","https://openalex.org/W7213547949"],"related_works":["https://openalex.org/W7221759823","https://openalex.org/W7158723507","https://openalex.org/W7212014052","https://openalex.org/W7165554025","https://openalex.org/W7154706215","https://openalex.org/W7154971165","https://openalex.org/W7163035973","https://openalex.org/W7202297708","https://openalex.org/W7147420790","https://openalex.org/W7204660773"],"abstract_inverted_index":{"Financial":[0],"settlement":[1],"breaks":[2],"remain":[3],"a":[4,32,55,72,86,97],"persistent":[5],"operational":[6],"risk.":[7],"Batch-only":[8],"reconciliation":[9,34,70],"detects":[10],"them":[11],"only":[12],"after":[13],"end-of-day":[14],"cutoff,":[15],"while":[16],"stream-based":[17],"approaches":[18],"often":[19],"sacrifice":[20],"coverage":[21],"or":[22],"lack":[23],"shared":[24,126],"rule":[25,58,127],"semantics":[26],"across":[27],"horizons.":[28],"This":[29],"paper":[30],"presents":[31],"multi-horizon":[33],"architecture":[35],"coordinating":[36],"three":[37],"tiers":[38,53],"over":[39],"one":[40],"transaction":[41],"stream:":[42],"daily":[43],"batch,":[44],"hourly":[45],"incremental":[46],"partitioning,":[47],"and":[48,60,81,84,116,129,134],"real-time":[49],"listener-based":[50],"interception.":[51],"The":[52,120],"share":[54],"governed":[56],"SQL":[57,91],"repository":[59],"an":[61],"exception":[62,82],"store":[63],"that":[64],"prevents":[65],"duplicate":[66],"alerting.":[67],"We":[68],"formalize":[69],"as":[71],"matching":[73,87],"problem,":[74],"define":[75],"keys,":[76],"discrepancy":[77,104],"categories,":[78],"tolerance-based":[79],"conditions,":[80],"classifications,":[83],"give":[85],"algorithm":[88],"with":[89],"representative":[90],"rules.":[92],"A":[93],"case":[94],"study":[95],"on":[96],"distributed":[98],"loan":[99],"origination":[100],"system":[101],"examines":[102],"four":[103],"categories:":[105],"compatibility":[106],"processing":[107],"errors":[108],"(210),":[109],"suspension":[110],"events":[111],"(45),":[112],"classification":[113],"anomalies":[114],"(1,200),":[115],"calculation":[117],"discrepancies":[118],"(85).":[119],"contributions":[121],"are":[122,139],"coordinated":[123],"three-tier":[124],"design,":[125],"governance,":[128],"evaluation":[130],"of":[131],"coverage,":[132],"latency,":[133],"maintenance":[135],"trade-offs.":[136],"Measured":[137],"results":[138],"distinguished":[140],"from":[141],"design":[142],"targets;":[143],"no":[144],"unmeasured":[145],"performance":[146],"improvement":[147],"is":[148],"claimed.":[149]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-11-01T00:00:00"}
