{"id":"https://openalex.org/W4414895103","doi":"https://doi.org/10.48550/arxiv.2506.01093","title":"Regulatory Graphs and GenAI for Real-Time Transaction Monitoring and Compliance Explanation in Banking","display_name":"Regulatory Graphs and GenAI for Real-Time Transaction Monitoring and Compliance Explanation in Banking","publication_year":2025,"publication_date":"2025-06-01","ids":{"openalex":"https://openalex.org/W4414895103","doi":"https://doi.org/10.48550/arxiv.2506.01093"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2506.01093","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.01093","pdf_url":"https://arxiv.org/pdf/2506.01093","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2506.01093","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119660693","display_name":"Kunal Khanvilkar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Khanvilkar, Kunal","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5051994685","display_name":"Kranthi Kommuru","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kommuru, Kranthi","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5119660693"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9567000269889832},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.612500011920929},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5809999704360962},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4569999873638153},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.44179999828338623},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4343999922275543},{"id":"https://openalex.org/keywords/transaction-processing","display_name":"Transaction processing","score":0.4088999927043915},{"id":"https://openalex.org/keywords/compliance","display_name":"Compliance (psychology)","score":0.40709999203681946}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9567000269889832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6647999882698059},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.612500011920929},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5809999704360962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4578000009059906},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4569999873638153},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.44179999828338623},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4343999922275543},{"id":"https://openalex.org/C72108876","wikidata":"https://www.wikidata.org/wiki/Q844565","display_name":"Transaction processing","level":3,"score":0.4088999927043915},{"id":"https://openalex.org/C2781460075","wikidata":"https://www.wikidata.org/wiki/Q1399332","display_name":"Compliance (psychology)","level":2,"score":0.40709999203681946},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3984000086784363},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.3582000136375427},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.34540000557899475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34049999713897705},{"id":"https://openalex.org/C164516710","wikidata":"https://www.wikidata.org/wiki/Q1166072","display_name":"Financial transaction","level":3,"score":0.3328000009059906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3276999890804291},{"id":"https://openalex.org/C139043278","wikidata":"https://www.wikidata.org/wiki/Q837171","display_name":"Financial services","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2637999951839447},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2506.01093","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.01093","pdf_url":"https://arxiv.org/pdf/2506.01093","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2506.01093","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2506.01093","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2506.01093","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.01093","pdf_url":"https://arxiv.org/pdf/2506.01093","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,39,62],"real-time":[4],"transaction":[5,27],"monitoring":[6],"framework":[7],"that":[8,69],"integrates":[9],"graph-based":[10],"modeling,":[11],"narrative":[12],"field":[13],"embedding,":[14],"and":[15,31,34,81,90,104],"generative":[16,105],"explanation":[17],"to":[18,107],"support":[19,108],"automated":[20],"financial":[21,66,114],"compliance.":[22],"The":[23,95],"system":[24],"constructs":[25],"dynamic":[26],"graphs,":[28],"extracts":[29],"structural":[30],"contextual":[32],"features,":[33],"classifies":[35],"suspicious":[36],"behavior":[37],"using":[38],"graph":[40,102],"neural":[41],"network.":[42],"A":[43],"retrieval-augmented":[44],"generation":[45],"module":[46],"generates":[47],"natural":[48],"language":[49],"explanations":[50],"aligned":[51],"with":[52,76],"regulatory":[53],"clauses":[54],"for":[55],"each":[56],"flagged":[57],"transaction.":[58],"Experiments":[59],"conducted":[60],"on":[61],"simulated":[63],"stream":[64],"of":[65,92,100],"data":[67],"show":[68],"the":[70,88,98],"proposed":[71],"method":[72],"achieves":[73],"superior":[74],"results,":[75],"98.2%":[77],"F1-score,":[78],"97.8%":[79],"precision,":[80],"97.0%":[82],"recall.":[83],"Expert":[84],"evaluation":[85],"further":[86],"confirms":[87],"quality":[89],"interpretability":[91],"generated":[93],"justifications.":[94],"findings":[96],"demonstrate":[97],"potential":[99],"combining":[101],"intelligence":[103],"models":[106],"explainable,":[109],"audit-ready":[110],"compliance":[111],"in":[112],"high-risk":[113],"environments.":[115]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
