{"id":"https://openalex.org/W7161279090","doi":"https://doi.org/10.48550/arxiv.2605.14754","title":"XDomainBench: Diagnosing Reasoning Collapse in High-Dimensional Scientific Knowledge Composition","display_name":"XDomainBench: Diagnosing Reasoning Collapse in High-Dimensional Scientific Knowledge Composition","publication_year":2026,"publication_date":"2026-05-14","ids":{"openalex":"https://openalex.org/W7161279090","doi":"https://doi.org/10.48550/arxiv.2605.14754"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.14754","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14754","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.2605.14754","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136227970","display_name":"Gong Zhiren","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiren, Gong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125377066","display_name":"Tiantong Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Tiantong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136233754","display_name":"Jiaming Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jiaming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136235679","display_name":"Fuyao Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Fuyao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136224181","display_name":"Che Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Che","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072423938","display_name":"Yurong Hao","orcid":"https://orcid.org/0000-0002-9370-7958"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao, Yurong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136222107","display_name":"Yikun Hou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hou, Yikun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107617524","display_name":"Foo Ping","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ping, Foo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125743786","display_name":"Yilei Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Yilei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136242929","display_name":"Fei Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Fei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136230543","display_name":"Chau Yuen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuen, Chau","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5027969322","display_name":"Wei Yang Bryan Lim","orcid":"https://orcid.org/0000-0003-2150-5561"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lim, Wei Yang Bryan","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/T10028","display_name":"Topic Modeling","score":0.30480000376701355,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.30480000376701355,"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/T13629","display_name":"Text Readability and Simplification","score":0.11050000041723251,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.07400000095367432,"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/domain","display_name":"Domain (mathematical analysis)","score":0.6340000033378601},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5160999894142151},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5133000016212463},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5084999799728394},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4860000014305115},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4749000072479248},{"id":"https://openalex.org/keywords/scientific-reasoning","display_name":"Scientific reasoning","score":0.46939998865127563},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.4693000018596649}],"concepts":[{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6340000033378601},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6297000050544739},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5160999894142151},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5133000016212463},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5084999799728394},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4860000014305115},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4749000072479248},{"id":"https://openalex.org/C2992562121","wikidata":"https://www.wikidata.org/wiki/Q3817808","display_name":"Scientific reasoning","level":2,"score":0.46939998865127563},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.4693000018596649},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.45890000462532043},{"id":"https://openalex.org/C40231798","wikidata":"https://www.wikidata.org/wiki/Q1333743","display_name":"Composition (language)","level":2,"score":0.4228000044822693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3725000023841858},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3522000014781952},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.3294999897480011},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C195732255","wikidata":"https://www.wikidata.org/wiki/Q981008","display_name":"Sociology of scientific knowledge","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.2791999876499176},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C39920170","wikidata":"https://www.wikidata.org/wiki/Q693083","display_name":"Soundness","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.25780001282691956}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.14754","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14754","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.2605.14754","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14754","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":[{"score":0.529498815536499,"display_name":"Quality Education","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":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"are":[4],"increasingly":[5],"deployed":[6],"for":[7,13,50],"knowledge":[8,18],"synthesis,":[9],"yet":[10],"their":[11],"capacity":[12],"compositional":[14],"generalization":[15],"in":[16],"scientific":[17,39,53],"remains":[19],"under-characterized.":[20],"Existing":[21],"benchmarks":[22],"primarily":[23],"focus":[24],"on":[25],"single-turn":[26],"restricted":[27],"scenarios,":[28],"failing":[29],"to":[30,63,69,140],"capture":[31],"the":[32,57],"capability":[33],"boundaries":[34],"exposed":[35],"by":[36,119],"real-world":[37],"interactive":[38,51,73],"workflows.":[40],"To":[41],"address":[42],"this,":[43],"we":[44],"introduce":[45],"XDomainBench,":[46],"a":[47,101],"diagnostic":[48],"benchmark":[49],"interdisciplinary":[52],"reasoning.":[54],"We":[55],"formalize":[56],"composition":[58,106],"order":[59,107],"and":[60,78,89,122,135],"mixture":[61],"structure":[62],"enable":[64],"systematic":[65,102],"stress-testing":[66],"from":[67,110],"single-discipline":[68],"inter-disciplinary,":[70],"comprising":[71],"8,598":[72],"sessions":[74],"across":[75],"20":[76],"domains":[77],"4":[79],"task":[80],"categories,":[81],"with":[82],"8":[83],"realistic":[84],"trajectory":[85,128],"patterns":[86,129],"covering":[87],"difficulty":[88,116],"domain-mixture":[90],"dynamics,":[91],"simulating":[92],"real":[93],"AI4S":[94],"scenarios.":[95],"Large-scale":[96],"evaluation":[97],"of":[98],"LLMs":[99],"reveals":[100],"reasoning":[103,133],"collapse":[104],"as":[105],"increases,":[108],"stemming":[109],"two":[111],"root":[112],"causes:":[113],"(i)":[114],"direct":[115],"increases":[117],"induced":[118],"domain":[120,136],"composition,":[121],"(ii)":[123],"indirect":[124],"interaction-amplified":[125],"failures":[126],"where":[127],"trigger":[130],"error":[131],"accumulation,":[132],"breaks,":[134],"confusion,":[137],"ultimately":[138],"leading":[139],"session":[141],"collapse.":[142]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-16T00:00:00"}
