{"id":"https://openalex.org/W7148606010","doi":"https://doi.org/10.48550/arxiv.2604.00550","title":"BloClaw: An Omniscient, Multi-Modal Agentic Workspace for Next-Generation Scientific Discovery","display_name":"BloClaw: An Omniscient, Multi-Modal Agentic Workspace for Next-Generation Scientific Discovery","publication_year":2026,"publication_date":"2026-04-01","ids":{"openalex":"https://openalex.org/W7148606010","doi":"https://doi.org/10.48550/arxiv.2604.00550"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.00550","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00550","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.00550","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132822083","display_name":"Yao Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Qin, Yao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132761945","display_name":"Yangyang Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan, Yangyang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132765854","display_name":"Jinhua Pang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pang, Jinhua","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5132790283","display_name":"Xiaoming Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xiaoming","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5132822083"],"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/T11986","display_name":"Scientific Computing and Data Management","score":0.73089998960495,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.73089998960495,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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/T11948","display_name":"Machine Learning in Materials Science","score":0.05119999870657921,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.024900000542402267,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.5647000074386597},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.5565999746322632},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5282999873161316},{"id":"https://openalex.org/keywords/codebase","display_name":"Codebase","score":0.5088000297546387},{"id":"https://openalex.org/keywords/cyberinfrastructure","display_name":"Cyberinfrastructure","score":0.4366999864578247},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4300000071525574},{"id":"https://openalex.org/keywords/executable","display_name":"Executable","score":0.42800000309944153},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.4000999927520752},{"id":"https://openalex.org/keywords/bespoke","display_name":"Bespoke","score":0.36980000138282776},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.35929998755455017}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8108000159263611},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.5647000074386597},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.5565999746322632},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5282999873161316},{"id":"https://openalex.org/C51929080","wikidata":"https://www.wikidata.org/wiki/Q2425187","display_name":"Codebase","level":3,"score":0.5088000297546387},{"id":"https://openalex.org/C2776397876","wikidata":"https://www.wikidata.org/wiki/Q1450531","display_name":"Cyberinfrastructure","level":2,"score":0.4366999864578247},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4300000071525574},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.42800000309944153},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.4000999927520752},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3752000033855438},{"id":"https://openalex.org/C44210515","wikidata":"https://www.wikidata.org/wiki/Q16968978","display_name":"Bespoke","level":2,"score":0.36980000138282776},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.35760000348091125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3465999960899353},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.34599998593330383},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.3449000120162964},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3379000127315521},{"id":"https://openalex.org/C59740354","wikidata":"https://www.wikidata.org/wiki/Q2737866","display_name":"Scientific visualization","level":3,"score":0.32910001277923584},{"id":"https://openalex.org/C58581272","wikidata":"https://www.wikidata.org/wiki/Q12741163","display_name":"Workspace","level":3,"score":0.3280999958515167},{"id":"https://openalex.org/C167981075","wikidata":"https://www.wikidata.org/wiki/Q2667186","display_name":"Sandbox (software development)","level":2,"score":0.3061000108718872},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C52723943","wikidata":"https://www.wikidata.org/wiki/Q1127410","display_name":"Serialization","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2971999943256378},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C19273510","wikidata":"https://www.wikidata.org/wiki/Q263847","display_name":"Artificial life","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2896000146865845},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C2776545253","wikidata":"https://www.wikidata.org/wiki/Q5464292","display_name":"Folding (DSP implementation)","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C2780416260","wikidata":"https://www.wikidata.org/wiki/Q2063","display_name":"JSON","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C548217200","wikidata":"https://www.wikidata.org/wiki/Q251","display_name":"Java","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.25850000977516174},{"id":"https://openalex.org/C114073186","wikidata":"https://www.wikidata.org/wiki/Q2631895","display_name":"Automated planning and scheduling","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.00550","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00550","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.00550","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00550","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":"article"},"sustainable_development_goals":[{"score":0.4913705885410309,"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,175],"integration":[1],"of":[2,14],"Large":[3],"Language":[4],"Models":[5],"(LLMs)":[6],"into":[7,22],"life":[8],"sciences":[9],"has":[10],"catalyzed":[11],"the":[12,73],"development":[13],"\"AI":[15],"Scientists.\"":[16],"However,":[17],"translating":[18],"these":[19],"theoretical":[20],"capabilities":[21],"deployment-ready":[23],"research":[24,173],"environments":[25],"exposes":[26],"profound":[27],"infrastructural":[28],"vulnerabilities.":[29],"Current":[30],"frameworks":[31],"are":[32],"bottlenecked":[33],"by":[34],"fragile":[35],"JSON-based":[36],"tool-calling":[37],"protocols,":[38],"easily":[39],"disrupted":[40],"execution":[41],"sandboxes":[42],"that":[43,88,106,130],"lose":[44],"graphical":[45],"outputs,":[46],"and":[47,113,123,138,160],"rigid":[48],"conversational":[49],"interfaces":[50],"inherently":[51],"ill-suited":[52],"for":[53,65,68,171],"high-dimensional":[54],"scientific":[55],"data.We":[56],"introduce":[57],"BloClaw,":[58],"a":[59,134,166],"unified,":[60],"multi-modal":[61],"operating":[62],"system":[63],"designed":[64],"Artificial":[66],"Intelligence":[67],"Science":[69],"(AI4S).":[70],"BloClaw":[71,147],"reconstructs":[72],"Agent-Computer":[74],"Interaction":[75],"(ACI)":[76],"paradigm":[77,170],"through":[78],"three":[79],"architectural":[80],"innovations:":[81],"(1)":[82],"An":[83],"XML-Regex":[84],"Dual-Track":[85],"Routing":[86],"Protocol":[87],"statistically":[89],"eliminates":[90],"serialization":[91],"failures":[92],"(0.2%":[93],"error":[94],"rate":[95],"vs.":[96],"17.6%":[97],"in":[98],"JSON);":[99],"(2)":[100],"A":[101,125],"Runtime":[102],"State":[103],"Interception":[104],"Sandbox":[105],"utilizes":[107],"Python":[108],"monkey-patching":[109],"to":[110],"autonomously":[111],"capture":[112],"compile":[114],"dynamic":[115],"data":[116],"visualizations":[117],"(Plotly/Matplotlib),":[118],"circumventing":[119],"browser":[120],"CORS":[121],"policies;":[122],"(3)":[124],"State-Driven":[126],"Dynamic":[127],"Viewport":[128],"UI":[129],"morphs":[131],"seamlessly":[132],"between":[133],"minimalist":[135],"command":[136],"deck":[137],"an":[139],"interactive":[140],"spatial":[141],"rendering":[142],"engine.":[143],"We":[144],"comprehensively":[145],"benchmark":[146],"across":[148],"cheminformatics":[149],"(RDKit),":[150],"de":[151],"novo":[152],"3D":[153],"protein":[154],"folding":[155],"via":[156],"ESMFold,":[157],"molecular":[158],"docking,":[159],"autonomous":[161],"Retrieval-Augmented":[162],"Generation":[163],"(RAG),":[164],"establishing":[165],"highly":[167],"robust,":[168],"self-evolving":[169],"computational":[172],"assistants.":[174],"open-source":[176],"repository":[177],"is":[178],"available":[179],"at":[180],"https://github.com/qinheming/BloClaw.":[181]},"counts_by_year":[],"updated_date":"2026-04-03T16:44:17.987007","created_date":"2026-04-03T00:00:00"}