{"id":"https://openalex.org/W7161133137","doi":"https://doi.org/10.48550/arxiv.2605.13034","title":"ViDR: Grounding Multimodal Deep Research Reports in Source Visual Evidence","display_name":"ViDR: Grounding Multimodal Deep Research Reports in Source Visual Evidence","publication_year":2026,"publication_date":"2026-05-13","ids":{"openalex":"https://openalex.org/W7161133137","doi":"https://doi.org/10.48550/arxiv.2605.13034"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.13034","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13034","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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.13034","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136128803","display_name":"Zhuofan Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Zhuofan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123171206","display_name":"Peilun Jia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia, Peilun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136166488","display_name":"Baoqin Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Baoqin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136114135","display_name":"Haiyang Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Haiyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079578592","display_name":"Sixiong Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Sixiong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136154623","display_name":"Yun Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Yun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136141839","display_name":"Xiang Jing","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing, Xiang","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.892799973487854,"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":0.892799973487854,"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/T10028","display_name":"Topic Modeling","score":0.022199999541044235,"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/T10799","display_name":"Data Visualization and Analytics","score":0.022199999541044235,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hallucinating","display_name":"Hallucinating","score":0.7228000164031982},{"id":"https://openalex.org/keywords/verifiable-secret-sharing","display_name":"Verifiable secret sharing","score":0.4627000093460083},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4339999854564667},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42179998755455017},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.40610000491142273},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.33149999380111694},{"id":"https://openalex.org/keywords/section","display_name":"Section (typography)","score":0.3165000081062317}],"concepts":[{"id":"https://openalex.org/C2911011789","wikidata":"https://www.wikidata.org/wiki/Q130741","display_name":"Hallucinating","level":2,"score":0.7228000164031982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7146999835968018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6004999876022339},{"id":"https://openalex.org/C85847156","wikidata":"https://www.wikidata.org/wiki/Q59015987","display_name":"Verifiable secret sharing","level":3,"score":0.4627000093460083},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4339999854564667},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42179998755455017},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.40610000491142273},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3797999918460846},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3531999886035919},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.33149999380111694},{"id":"https://openalex.org/C2780129039","wikidata":"https://www.wikidata.org/wiki/Q1931107","display_name":"Section (typography)","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3066999912261963},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3046000003814697},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.2808000147342682},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.2680000066757202},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.26089999079704285}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.13034","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13034","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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.13034","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13034","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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6692181825637817,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"deep":[1,54,143,185],"research":[2,55,144],"systems":[3,25,33],"have":[4],"improved":[5],"the":[6],"ability":[7],"of":[8],"large":[9],"language":[10],"models":[11],"to":[12,90,124],"produce":[13],"long,":[14],"grounded":[15],"reports":[16,60],"through":[17,103],"iterative":[18],"retrieval":[19],"and":[20,72,92,108,112,152,166,171,194],"reasoning.":[21],"However,":[22],"most":[23],"text-centered":[24],"rely":[26],"mainly":[27],"on":[28],"textual":[29,91],"evidence,":[30,94],"while":[31,76],"multimodal":[32,53,184],"often":[34],"retrieve":[35],"images":[36,98],"only":[37],"weakly":[38],"or":[39,127],"generate":[40],"charts":[41,80],"themselves,":[42],"leaving":[43],"source":[44,62,66,178],"figures":[45,67],"underused":[46],"as":[47,68,187],"evidence.":[48,118],"We":[49,130],"present":[50],"ViDR,":[51],"a":[52,135],"framework":[56],"that":[57,158,177],"grounds":[58],"long-form":[59],"in":[61,142],"figures.":[63,129],"ViDR":[64,119,159],"treats":[65],"retrievable,":[69],"interpretable,":[70],"routable,":[71],"verifiable":[73],"evidence":[74,101,140,180],"objects,":[75],"still":[77],"generating":[78],"analytical":[79,153],"when":[81],"needed.":[82],"It":[83],"builds":[84],"an":[85],"evidence-indexed":[86],"outline":[87],"linking":[88],"claims":[89],"visual":[93,110,122,139,179,192],"refines":[95],"noisy":[96],"web":[97],"into":[99],"source-figure":[100,147,164],"atoms":[102],"context-aware":[104],"filtering,":[105],"outline-aware":[106],"reranking,":[107],"VLM-based":[109],"analysis,":[111],"generates":[113],"each":[114],"section":[115],"with":[116],"section-specific":[117],"further":[120],"validates":[121],"references":[123],"reduce":[125],"hallucinated":[126],"misplaced":[128],"also":[131],"introduce":[132],"MMR":[133],"Bench+,":[134],"benchmark":[136],"for":[137,183],"evaluating":[138],"use":[141],"reports,":[145],"covering":[146],"retrieval,":[148],"placement,":[149],"interpretation,":[150],"verifiability,":[151],"chart":[154],"generation.":[155],"Experiments":[156],"show":[157],"improves":[160],"overall":[161],"report":[162,195],"quality,":[163],"integration,":[165],"verifiability":[167],"over":[168],"strong":[169],"commercial":[170],"open-source":[172],"baselines.":[173],"These":[174],"results":[175],"suggest":[176],"is":[181],"important":[182],"research,":[186],"it":[188],"strengthens":[189],"evidential":[190],"grounding,":[191],"support,":[193],"verifiability.":[196]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-15T00:00:00"}