{"id":"https://openalex.org/W7168256910","doi":"https://doi.org/10.48550/arxiv.2607.11451","title":"ManiScope: LLM-Assisted Visual Analytics of Cryptocurrency Manipulation Risk","display_name":"ManiScope: LLM-Assisted Visual Analytics of Cryptocurrency Manipulation Risk","publication_year":2026,"publication_date":"2026-07-13","ids":{"openalex":"https://openalex.org/W7168256910","doi":"https://doi.org/10.48550/arxiv.2607.11451"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.11451","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.11451","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":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.2607.11451","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140656098","display_name":"Xiaolin Wen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen, Xiaolin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140665681","display_name":"Feng Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Feng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140610320","display_name":"Yuanye Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Yuanye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140647120","display_name":"Qishuang Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Qishuang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140674016","display_name":"Zhengyu Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Zhengyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140746369","display_name":"Feng Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Feng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140699526","display_name":"Can Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Can","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5140675156","display_name":"Yong Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yong","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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.5871000289916992,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.5871000289916992,"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/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.042899999767541885,"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"}},{"id":"https://openalex.org/T13342","display_name":"Art History and Market Analysis","score":0.026000000536441803,"subfield":{"id":"https://openalex.org/subfields/1213","display_name":"Visual Arts and Performing Arts"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8810999989509583},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.8267999887466431},{"id":"https://openalex.org/keywords/cryptocurrency","display_name":"Cryptocurrency","score":0.8206999897956848},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.7267000079154968},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6761999726295471},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.644599974155426}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8810999989509583},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.8267999887466431},{"id":"https://openalex.org/C180706569","wikidata":"https://www.wikidata.org/wiki/Q13479982","display_name":"Cryptocurrency","level":2,"score":0.8206999897956848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7394999861717224},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.7267000079154968},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6761999726295471},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.644599974155426},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5284000039100647},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4659999907016754},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4309000074863434},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.4235000014305115},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.31450000405311584},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.3125999867916107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3082999885082245},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.30320000648498535},{"id":"https://openalex.org/C32896092","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Risk management","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.2621000111103058}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.11451","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.11451","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.11451","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.11451","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"Cryptocurrency":[0],"markets":[1],"are":[2],"vulnerable":[3],"to":[4,61],"trade-based":[5,87],"manipulation,":[6,198],"such":[7,51],"as":[8,52,127,138],"wash":[9],"trading,":[10],"which":[11],"can":[12,46],"distort":[13],"price":[14,105],"signals":[15],"and":[16,36,67,107,146,152,157,168,179,204],"mislead":[17],"investors.":[18],"Prior":[19],"research":[20],"has":[21],"mainly":[22],"focused":[23],"on":[24],"detecting":[25],"manipulation":[26,88],"using":[27],"fixed":[28],"rules":[29],"or":[30],"labeled":[31],"examples,":[32],"offering":[33],"limited":[34],"flexibility":[35],"interpretability":[37],"for":[38,70,85,160],"assessing":[39],"potential":[40],"risks.":[41],"Existing":[42],"visual":[43,82,121],"analytics":[44,83,122],"tools":[45],"reveal":[47],"basic":[48,129],"manipulation-related":[49],"signals,":[50],"token":[53,98],"distribution,":[54],"but":[55],"still":[56],"require":[57],"substantial":[58],"manual":[59,200],"effort":[60,201],"integrate":[62],"holder":[63,100,103],"relationships,":[64,101],"suspicious":[65,108],"behaviors,":[66,104],"market":[68],"dynamics":[69],"risk":[71,195],"assessment.":[72],"To":[73,111],"address":[74],"these":[75],"limitations,":[76],"we":[77],"propose":[78],"ManiScope,":[79],"an":[80],"LLM-assisted":[81],"system":[84],"analyzing":[86],"risks":[89],"in":[90,202],"cryptocurrency":[91,186],"markets.":[92],"ManiScope":[93,116,174,192],"provides":[94],"coordinated":[95],"views":[96],"of":[97,197],"distributions,":[99],"detailed":[102],"dynamics,":[106],"trading":[109],"patterns.":[110],"further":[112],"enhance":[113],"user":[114,181,208],"analysis,":[115],"introduces":[117],"a":[118,128,139,180],"human-LLM":[119],"collaborative":[120],"framework.":[123],"Rather":[124],"than":[125],"acting":[126],"reactive":[130],"LLM":[131,137],"assistant,":[132],"the":[133,136],"framework":[134],"positions":[135],"co-analyst":[140],"that":[141,191],"infers":[142],"users'":[143],"analytical":[144],"intent":[145],"emerging":[147],"hypotheses":[148],"from":[149],"interaction":[150],"context":[151],"surfaces":[153],"relevant":[154],"visual,":[155],"statistical,":[156],"synthesized":[158],"evidence":[159],"hypothesis":[161],"evaluation.":[162],"This":[163],"design":[164],"reduces":[165,199],"repetitive":[166],"inspection":[167],"strengthens":[169],"evidence-based":[170],"reasoning.":[171],"We":[172],"evaluate":[173],"through":[175],"two":[176],"case":[177],"studies":[178],"study":[182],"with":[183],"12":[184],"experienced":[185],"practitioners.":[187],"The":[188],"results":[189],"suggest":[190],"supports":[193],"effective":[194],"assessment":[196],"evidence-seeking,":[203],"organizes":[205],"findings":[206],"around":[207],"hypotheses.":[209]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-15T00:00:00"}
