{"id":"https://openalex.org/W7157020107","doi":"https://doi.org/10.48550/arxiv.2604.24697","title":"Can Current Agents Close the Discovery-to-Application Gap? A Case Study in Minecraft","display_name":"Can Current Agents Close the Discovery-to-Application Gap? A Case Study in Minecraft","publication_year":2026,"publication_date":"2026-04-27","ids":{"openalex":"https://openalex.org/W7157020107","doi":"https://doi.org/10.48550/arxiv.2604.24697"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.24697","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.24697","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":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.2604.24697","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134750951","display_name":"Zhou Ziheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ziheng, Zhou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120025867","display_name":"Huacong Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Huacong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115593989","display_name":"Jinyuan Zhang","orcid":"https://orcid.org/0009-0001-6648-8913"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jinyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134781477","display_name":"Haowei Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Haowei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134809000","display_name":"Bangcheng Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Bangcheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134768929","display_name":"Qian Long","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Long, Qian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134751181","display_name":"Fang Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Fang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134801856","display_name":"Yizhou Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Yizhou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112110952","display_name":"Yitao Liang","orcid":"https://orcid.org/0009-0009-0944-7814"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Yitao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134750049","display_name":"Ying Nian Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Ying Nian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034397232","display_name":"Demetri Terzopoulos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Terzopoulos, Demetri","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134763613","display_name":"Xiaofeng Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Xiaofeng","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/T11986","display_name":"Scientific Computing and Data Management","score":0.2313999980688095,"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":0.2313999980688095,"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/T10260","display_name":"Software Engineering Research","score":0.10090000182390213,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.0908999964594841,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.8305000066757202},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.59579998254776},{"id":"https://openalex.org/keywords/forcing","display_name":"Forcing (mathematics)","score":0.5871999859809875},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.5386999845504761},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5070000290870667},{"id":"https://openalex.org/keywords/frontier","display_name":"Frontier","score":0.387800008058548},{"id":"https://openalex.org/keywords/knowledge-sharing","display_name":"Knowledge sharing","score":0.3190999925136566},{"id":"https://openalex.org/keywords/current","display_name":"Current (fluid)","score":0.3190000057220459}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8305000066757202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6139000058174133},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.59579998254776},{"id":"https://openalex.org/C197115733","wikidata":"https://www.wikidata.org/wiki/Q1003136","display_name":"Forcing (mathematics)","level":2,"score":0.5871999859809875},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.5386999845504761},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5070000290870667},{"id":"https://openalex.org/C2778571376","wikidata":"https://www.wikidata.org/wiki/Q1355821","display_name":"Frontier","level":2,"score":0.387800008058548},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3427000045776367},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.34200000762939453},{"id":"https://openalex.org/C2776604539","wikidata":"https://www.wikidata.org/wiki/Q6423395","display_name":"Knowledge sharing","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C2779977028","wikidata":"https://www.wikidata.org/wiki/Q1493813","display_name":"Gap analysis (conservation)","level":3,"score":0.3183000087738037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3041999936103821},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C184670325","wikidata":"https://www.wikidata.org/wiki/Q512604","display_name":"Loop (graph theory)","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C184356942","wikidata":"https://www.wikidata.org/wiki/Q830382","display_name":"Best practice","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28209999203681946},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C2780589192","wikidata":"https://www.wikidata.org/wiki/Q7285140","display_name":"Raising (metalworking)","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.25130000710487366},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.24697","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.24697","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.24697","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.24697","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":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":{"Discovering":[0],"causal":[1],"regularities":[2],"and":[3,32,70,88,123],"applying":[4],"them":[5],"to":[6,165,178],"build":[7],"functional":[8],"systems--the":[9],"discovery-to-application":[10,203],"loop--is":[11],"a":[12,38,91,167,190],"hallmark":[13],"of":[14],"general":[15,144],"intelligence,":[16],"yet":[17],"evaluating":[18],"this":[19,43],"capacity":[20],"has":[21],"been":[22],"hindered":[23],"by":[24],"the":[25,112,143,151,160,170,180,201],"vast":[26],"complexity":[27,69],"gap":[28,117,153,162],"between":[29],"scientific":[30],"discovery":[31,75],"real-world":[33],"engineering.":[34],"We":[35,186],"introduce":[36],"SciCrafter,":[37],"Minecraft-based":[39],"benchmark":[40],"that":[41,98,141,199],"operationalizes":[42],"loop":[44,113],"through":[45],"parameterized":[46],"redstone":[47],"circuit":[48],"tasks.":[49],"Agents":[50],"must":[51],"ignite":[52],"lamps":[53],"in":[54,60],"specified":[55],"patterns":[56],"(e.g.,":[57],"simultaneously":[58],"or":[59],"timed":[61],"sequences);":[62],"scaling":[63],"target":[64],"parameters":[65],"substantially":[66],"increases":[67],"construction":[68],"required":[71],"knowledge,":[72],"forcing":[73],"genuine":[74],"rather":[76],"than":[77],"reliance":[78],"on":[79,196],"memorized":[80],"solutions.":[81],"Evaluating":[82],"frontier":[83,158],"models":[84,159],"including":[85],"GPT-5.2,":[86],"Gemini-3-Pro,":[87],"Claude-Opus-4.5":[89],"under":[90],"general-purpose":[92],"code":[93],"agent":[94],"scaffold,":[95],"we":[96,110],"find":[97],"all":[99,155],"plateau":[100],"at":[101],"approximately":[102],"26%":[103],"success":[104],"rate.":[105],"To":[106],"diagnose":[107],"these":[108],"failures,":[109],"decompose":[111],"into":[114],"four":[115],"capacities--knowledge":[116],"identification,":[118],"experimental":[119],"discovery,":[120],"knowledge":[121,124,145,161],"consolidation,":[122],"application--and":[125],"design":[126],"targeted":[127],"interventions":[128],"whose":[129],"marginal":[130],"contributions":[131],"serve":[132],"as":[133,150,189],"proxies":[134],"for":[135,157,183,193],"corresponding":[136],"gaps.":[137],"Our":[138],"analysis":[139],"reveals":[140],"although":[142],"application":[146],"capability":[147],"still":[148],"remains":[149],"biggest":[152],"across":[154],"models,":[156],"identification":[163],"starts":[164],"become":[166],"major":[168],"hurdle--indicating":[169],"bottleneck":[171],"is":[172],"shifting":[173],"from":[174],"solving":[175],"problems":[176,182],"right":[177,181],"raising":[179],"current":[184],"AI.":[185],"release":[187],"SciCrafter":[188],"diagnostic":[191],"probe":[192],"future":[194],"research":[195],"AI":[197],"systems":[198],"navigate":[200],"full":[202],"loop.":[204]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-29T00:00:00"}
