{"id":"https://openalex.org/W4405173935","doi":"https://doi.org/10.48550/arxiv.2412.04981","title":"Causal discovery with endogenous context variables","display_name":"Causal discovery with endogenous context variables","publication_year":2024,"publication_date":"2024-12-06","ids":{"openalex":"https://openalex.org/W4405173935","doi":"https://doi.org/10.48550/arxiv.2412.04981"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2412.04981","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.04981","pdf_url":"https://arxiv.org/pdf/2412.04981","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2412.04981","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057654776","display_name":"W. Gunther","orcid":"https://orcid.org/0009-0005-1174-0826"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"G\u00fcnther, Wiebke","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008135156","display_name":"Oana-Iuliana Popescu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Popescu, Oana-Iuliana","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099801432","display_name":"Martin Rabel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rabel, Martin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055996496","display_name":"Urmi Ninad","orcid":"https://orcid.org/0000-0001-6138-5643"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ninad, Urmi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052453929","display_name":"Andreas Gerhardus","orcid":"https://orcid.org/0000-0003-1868-655X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gerhardus, Andreas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5076653467","display_name":"Jakob Runge","orcid":"https://orcid.org/0000-0002-0629-1772"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Runge, Jakob","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5057654776"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.8700000047683716,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.8700000047683716,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.8565999865531921,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.7687000036239624,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6398070454597473},{"id":"https://openalex.org/keywords/endogeny","display_name":"Endogeny","score":0.5601081252098083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3512797951698303},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13136768341064453},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11867853999137878},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.09001365303993225}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6398070454597473},{"id":"https://openalex.org/C16613235","wikidata":"https://www.wikidata.org/wiki/Q285982","display_name":"Endogeny","level":2,"score":0.5601081252098083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3512797951698303},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13136768341064453},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11867853999137878},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09001365303993225},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2412.04981","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.04981","pdf_url":"https://arxiv.org/pdf/2412.04981","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2412.04981","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2412.04981","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-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2412.04981","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.04981","pdf_url":"https://arxiv.org/pdf/2412.04981","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405173935.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2416632361","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Causal":[0],"systems":[1,127,147],"often":[2],"exhibit":[3],"variations":[4],"of":[5,13,70,143,203,217,230],"the":[6,11,14,29,51,111,137,188,201,209,215,218],"underlying":[7],"causal":[8,46,52,141,192],"mechanisms":[9],"between":[10],"variables":[12,37,40,114],"system.":[15],"Often,":[16],"these":[17],"changes":[18],"are":[19,50],"driven":[20],"by":[21,110],"different":[22,160],"environments":[23,77],"or":[24,95,166],"internal":[25],"states":[26],"in":[27,45,54,146],"which":[28,197],"system":[30,113],"operates,":[31],"and":[32,58,106,182,206],"we":[33,135],"refer":[34],"to":[35,125,172,190,199,207],"context":[36,96,130,150],"as":[38,99,158],"those":[39],"that":[41,154],"indicate":[42],"this":[43,133],"change":[44],"mechanisms.":[47],"An":[48],"example":[49],"relations":[53],"soil":[55,62,66,71,80,100,121],"moisture-temperature":[56],"interactions":[57],"their":[59],"dependence":[60,69],"on":[61,73,163,187],"moisture":[63,72,101],"regimes:":[64],"Dry":[65],"triggers":[67],"a":[68,85,89,93,119,184],"latent":[74],"heat,":[75],"while":[76],"with":[78,128,148],"wet":[79,122],"do":[81],"not":[82,103],"feature":[83],"such":[84,98,157],"feedback,":[86],"making":[87],"it":[88],"context-specific":[90,144],"property.":[91],"Crucially,":[92],"regime":[94,161],"variable":[97],"need":[102],"be":[104,108],"exogenous":[105],"can":[107,117,170],"influenced":[109],"dynamical":[112],"-":[115,123],"precipitation":[116],"make":[118],"dry":[120],"leading":[124],"joint":[126],"endogenous":[129,149],"variables.":[131,151],"In":[132],"work":[134],"investigate":[136],"assumptions":[138],"for":[139],"constraint-based":[140,179],"discovery":[142,180],"information":[145],"We":[152,175],"show":[153],"naive":[155],"approaches":[156],"learning":[159],"graphs":[162],"masked":[164],"data,":[165,169],"pooling":[167],"all":[168],"lead":[171],"uninformative":[173],"results.":[174],"propose":[176],"an":[177],"adaptive":[178],"algorithm":[181,205],"give":[183],"detailed":[185],"discussion":[186],"connection":[189],"structural":[191],"models,":[193],"including":[194],"sufficiency":[195],"assumptions,":[196],"allow":[198],"prove":[200],"soundness":[202],"our":[204,231],"interpret":[208],"results":[210],"causally.":[211],"Numerical":[212],"experiments":[213],"demonstrate":[214],"performance":[216],"proposed":[219],"method":[220],"over":[221],"alternative":[222],"baselines,":[223],"but":[224],"they":[225],"also":[226],"unveil":[227],"current":[228],"limitations":[229],"method.":[232]},"counts_by_year":[],"updated_date":"2026-03-16T09:10:04.655348","created_date":"2025-10-10T00:00:00"}
