{"id":"https://openalex.org/W7225457696","doi":"https://doi.org/10.5281/zenodo.24031954","title":"FIN-SIGHT AI: A Hybrid Multi-Agent Generative AI Framework for Automated Financial Report Analysis","display_name":"FIN-SIGHT AI: A Hybrid Multi-Agent Generative AI Framework for Automated Financial Report Analysis","publication_year":2026,"publication_date":"2026-11-07","ids":{"openalex":"https://openalex.org/W7225457696","doi":"https://doi.org/10.5281/zenodo.24031954"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.24031954","doi":"https://doi.org/10.5281/zenodo.24031954","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24031954","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.24031954","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134876454","display_name":"PRIYADHARSHINI S","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S, PRIYADHARSHINI","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5161183402","display_name":"Shree Abiraami M","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M, Shree Abiraami","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134887924","display_name":"Sridevi S","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S, Sridevi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137421238","display_name":"Swathi G","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G, Swathi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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/T10028","display_name":"Topic Modeling","score":0.6044999957084656,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.6044999957084656,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.052299998700618744,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T12123","display_name":"Financial Analysis and Corporate Governance","score":0.052000001072883606,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"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/multi-agent-systems","display_name":"multi-agent systems","score":0.9399999976158142},{"id":"https://openalex.org/keywords/generative-ai","display_name":"generative AI","score":0.9559999704360962},{"id":"https://openalex.org/keywords/retrieval-augmented-generation","display_name":"retrieval-augmented generation","score":0.9919999837875366},{"id":"https://openalex.org/keywords/hybrid-search","display_name":"hybrid retrieval","score":0.890999972820282},{"id":"https://openalex.org/keywords/financial-ratio-analysis","display_name":"financial ratio analysis","score":0.8579999804496765},{"id":"https://openalex.org/keywords/risk-assessment","display_name":"risk assessment","score":0.8939999938011169}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6545000076293945},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6438000202178955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5213000178337097},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.387800008058548},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.329800009727478},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.30550000071525574},{"id":"https://openalex.org/C139043278","wikidata":"https://www.wikidata.org/wiki/Q837171","display_name":"Financial services","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C130731218","wikidata":"https://www.wikidata.org/wiki/Q1363554","display_name":"Financial analysis","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.29019999504089355},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.2770000100135803},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.26409998536109924}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.24031954","doi":"https://doi.org/10.5281/zenodo.24031954","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24031954","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.5281/zenodo.24031955","doi":"https://doi.org/10.5281/zenodo.24031955","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24031955","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.5281/zenodo.24031954","doi":"https://doi.org/10.5281/zenodo.24031954","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24031954","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7117485532","https://openalex.org/W4412445753","https://openalex.org/W7221064190","https://openalex.org/W4415959905","https://openalex.org/W7143011149","https://openalex.org/W4416532782","https://openalex.org/W7166841376","https://openalex.org/W7123339418","https://openalex.org/W7161828170","https://openalex.org/W7139001325"],"abstract_inverted_index":{"FIN-SIGHT":[0],"AI":[1,7,66],"presents":[2],"a":[3],"hybrid":[4,19],"multi-agent":[5,68],"Generative":[6,65],"framework":[8,14],"for":[9,47],"financial":[10,27,48,71,76],"report":[11,57],"analysis.":[12],"The":[13,33],"combines":[15],"Retrieval-Augmented":[16],"Generation":[17],"(RAG),":[18],"retrieval,":[20],"and":[21,30,40,56,67,74],"LangGraph-based":[22],"agent":[23],"orchestration":[24],"to":[25,70],"support":[26],"document":[28,72],"understanding":[29],"analytical":[31],"workflows.":[32],"proposed":[34],"architecture":[35],"integrates":[36],"FAISS-based":[37],"vector":[38],"retrieval":[39,43],"BM25-based":[41],"keyword":[42],"with":[44],"specialized":[45],"agents":[46],"research,":[49],"analysis,":[50],"ratio":[51],"evaluation,":[52],"risk":[53],"assessment,":[54],"validation,":[55],"generation.":[58],"This":[59],"work":[60],"explores":[61],"the":[62],"application":[63],"of":[64],"systems":[69],"analysis":[73],"structured":[75],"insights.":[77]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2026-11-08T00:00:00"}
