{"id":"https://openalex.org/W7095199710","doi":null,"title":"Fighting the floating correlations: Expectations and complications in extracting statistical correlations from the string theory landscape,\u201d Phys","display_name":"Fighting the floating correlations: Expectations and complications in extracting statistical correlations from the string theory landscape,\u201d Phys","publication_year":null,"publication_date":null,"ids":{"openalex":"https://openalex.org/W7095199710"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.264.9029","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.264.9029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/hep-th/0610319v1.pdf","raw_type":"text"},"parent_works":[],"lineage":["https://openalex.org/W7095199710"],"child_works_count":0,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054700255","display_name":"Keith R. Dienes","orcid":"https://orcid.org/0000-0002-5743-4921","observed_orcids":["https://orcid.org/0000-0002-5743-4921"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keith R. Dienes","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5022526963","display_name":"Michael Lennek","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Lennek","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":true,"primary_topic":{"id":"https://openalex.org/T10025","display_name":"Black Holes and Theoretical Physics","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10025","display_name":"Black Holes and Theoretical Physics","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10048","display_name":"Particle physics theoretical and experimental studies","score":0.01549999974668026,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11415","display_name":"Noncommutative and Quantum Gravity Theories","score":0.001500000013038516,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/string-theory-landscape","display_name":"string landscape","score":0.902999997138977},{"id":"https://openalex.org/keywords/correlation","display_name":"correlation","score":0.7760000228881836},{"id":"https://openalex.org/keywords/sample-size-dependence","display_name":"sample size dependence","score":0.6769999861717224},{"id":"https://openalex.org/keywords/string-vacua","display_name":"string vacua","score":0.5540000200271606}],"concepts":[{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.7279000282287598},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.5543000102043152},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5509999990463257},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.48089998960494995},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4771000146865845},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.45750001072883606},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4521999955177307},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.3783999979496002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37529999017715454},{"id":"https://openalex.org/C42845850","wikidata":"https://www.wikidata.org/wiki/Q15427360","display_name":"String phenomenology","level":5,"score":0.3571999967098236},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.35269999504089355},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.3391999900341034},{"id":"https://openalex.org/C49987212","wikidata":"https://www.wikidata.org/wiki/Q33198","display_name":"String theory","level":2,"score":0.32170000672340393},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C48057537","wikidata":"https://www.wikidata.org/wiki/Q3551145","display_name":"Statistical theory","level":2,"score":0.30730000138282776},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C156340839","wikidata":"https://www.wikidata.org/wiki/Q2704791","display_name":"Enumeration","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C53622274","wikidata":"https://www.wikidata.org/wiki/Q2496679","display_name":"Correlation function (quantum field theory)","level":3,"score":0.28519999980926514},{"id":"https://openalex.org/C99874945","wikidata":"https://www.wikidata.org/wiki/Q188715","display_name":"Statistical mechanics","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.27950000762939453}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.264.9029","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.264.9029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/hep-th/0610319v1.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2050785302","https://openalex.org/W107850234","https://openalex.org/W7098154513","https://openalex.org/W3152223263","https://openalex.org/W2592065405","https://openalex.org/W2523654094","https://openalex.org/W7100229851","https://openalex.org/W7148559016","https://openalex.org/W7095431424","https://openalex.org/W3049136264"],"abstract_inverted_index":{"The":[0],"realization":[1],"that":[2,67,113,151,165],"string":[3,25,32,118],"theory":[4],"gives":[5],"rise":[6],"to":[7,49,54,71,80,104,123,137,155,169],"a":[8,17,76,141,180,199],"huge":[9],"landscape":[10],"of":[11,31,36,64,94,106,143,182],"vacuum":[12],"solutions":[13,38],"has":[14],"recently":[15],"prompted":[16],"statistical":[18,45,73,135,172],"approach":[19],"towards":[20],"extracting":[21],"phenomenological":[22],"predictions":[23],"from":[24,75,189,197],"theory.":[26],"Unfortunately,":[27],"for":[28],"most":[29],"classes":[30],"models,":[33],"direct":[34],"enumeration":[35],"all":[37,115],"is":[39,85,91,102],"not":[40,114,176],"computationally":[41],"feasible":[42],"and":[43,109,159,171],"thus":[44],"studies":[46],"must":[47],"resort":[48],"other":[50],"methods":[51,150,167],"in":[52,126],"order":[53],"extract":[55,72],"meaningful":[56],"information.":[57],"In":[58],"this":[59,100,107,157],"paper,":[60],"we":[61,98,160],"discuss":[62],"some":[63],"the":[65,92,111,131],"issues":[66],"arise":[68],"when":[69],"attempting":[70],"correlations":[74,136,170],"large":[77],"data":[78,201],"set":[79],"which":[81,174,186,191],"our":[82],"computational":[83],"access":[84],"necessarily":[86],"limited.":[87],"Our":[88],"main":[89],"focus":[90],"problem":[93,101],"\u201cfloating":[95],"correlations\u201d.":[96],"As":[97],"discuss,":[99],"endemic":[103],"investigations":[105],"type":[108],"reflects":[110],"fact":[112],"physically":[116],"distinct":[117],"models":[119],"are":[120,175],"equally":[121],"likely":[122],"be":[124,153],"sampled":[125],"any":[127],"random":[128],"search":[129],"through":[130,162],"landscape,":[132],"thereby":[133],"causing":[134],"\u201cfloat":[138],"\u201d":[139],"as":[140,179],"function":[142,181],"sample":[144,183],"size.":[145],"We":[146],"propose":[147],"several":[148],"possible":[149],"can":[152],"used":[154],"overcome":[156],"problem,":[158],"show":[161],"explicit":[163],"examples":[164],"these":[166],"lead":[168],"distributions":[173],"only":[177,198],"stable":[178],"size,":[184],"but":[185],"differ":[187],"significantly":[188],"those":[190],"would":[192],"have":[193],"been":[194],"na\u00efvely":[195],"apparent":[196],"partial":[200],"set.":[202]},"counts_by_year":[],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2025-10-27T00:00:00"}
