{"id":"https://openalex.org/W7134817706","doi":"https://doi.org/10.48550/arxiv.2603.07996","title":"More to Extract: Discovering MEV by Token Contract Analysis","display_name":"More to Extract: Discovering MEV by Token Contract Analysis","publication_year":2026,"publication_date":"2026-03-09","ids":{"openalex":"https://openalex.org/W7134817706","doi":"https://doi.org/10.48550/arxiv.2603.07996"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.07996","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128681892","display_name":"Jiaqi Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chen, Jiaqi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000216561","display_name":"Yuzhe Tang","orcid":"https://orcid.org/0000-0002-8911-106X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Yuzhe","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128675469","display_name":"Yue Duan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duan, Yue","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5128681892"],"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":0.9610999822616577,"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":0.9610999822616577,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.006200000178068876,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.0026000000070780516,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/security-token","display_name":"Security token","score":0.8396999835968018},{"id":"https://openalex.org/keywords/profitability-index","display_name":"Profitability index","score":0.6739000082015991},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5382999777793884},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.5134000182151794},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.45590001344680786}],"concepts":[{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.8396999835968018},{"id":"https://openalex.org/C129361004","wikidata":"https://www.wikidata.org/wiki/Q2470236","display_name":"Profitability index","level":2,"score":0.6739000082015991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.632099986076355},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5382999777793884},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.5134000182151794},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.45590001344680786},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2971000075340271},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2946000099182129},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26579999923706055},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.2606000006198883}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.07996","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.07996","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.07996","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:doi:10.48550/arxiv.2603.07996","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4622247815132141}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,21,46],"paper":[1,47,91],"tackles":[2],"the":[3,9,25,38,94,105],"discovery":[4],"of":[5,43,51,96,103,120],"tMEV,":[6],"that":[7,15,74],"is,":[8],"Maximal":[10],"Extractable":[11],"Value":[12],"on":[13,116,129],"blockchains":[14],"arises":[16],"from":[17,24],"Token":[18],"smart":[19],"contracts.":[20,45],"scope":[22],"differs":[23],"existing":[26,100],"MEV-discovery":[27],"research,":[28],"which":[29],"analyzes":[30],"application-layer":[31],"contracts":[32],"or":[33],"attacker":[34],"contracts,":[35,69],"but":[36],"ignores":[37],"wide":[39],"and":[40,70,82,99],"diverse":[41],"range":[42],"token":[44,68],"presents":[48],"a":[49,58,72,126],"pipeline":[50],"techniques":[52],"for":[53,62],"tMEV":[54,77,97,121],"discovery,":[55],"including":[56],"tSCAN,":[57],"static":[59],"analysis":[60],"tool":[61],"identifying":[63],"non-standard":[64],"supply-control":[65],"functions":[66],"in":[67],"tSEARCH,":[71],"searcher":[73],"uncovers":[75],"profitable":[76],"opportunities":[78],"by":[79],"generating,":[80],"refining,":[81],"solving":[83],"token-specific":[84],"constraints.":[85],"By":[86],"replaying":[87],"real-world":[88],"transactions,":[89],"this":[90],"demonstrates":[92],"both":[93],"profitability":[95],"strategies":[98],"searchers'":[101],"unawareness":[102],"them:":[104],"proposed":[106],"tSEARCH":[107],"extracts":[108],"$10\\times$":[109],"more":[110],"profit":[111],"than":[112],"observed":[113],"MEV":[114],"activity":[115],"Ethereum.":[117],"The":[118],"practicality":[119],"searching":[122],"is":[123],"demonstrated":[124],"through":[125],"prototype":[127],"built":[128],"Slither,":[130],"showing":[131],"high":[132],"effectiveness":[133],"with":[134],"low":[135],"performance":[136],"overhead.":[137]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-03-11T00:00:00"}
