{"id":"https://openalex.org/W7204551304","doi":"https://doi.org/10.48550/arxiv.2608.26741","title":"Asymmetric Coupling Anisotropy for Causal Information Filtering in Physical Reservoirs","display_name":"Asymmetric Coupling Anisotropy for Causal Information Filtering in Physical Reservoirs","publication_year":2026,"publication_date":"2026-08-27","ids":{"openalex":"https://openalex.org/W7204551304","doi":"https://doi.org/10.48550/arxiv.2608.26741"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2608.26741","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.26741","pdf_url":"https://arxiv.org/pdf/2608.26741","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2608.26741","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014682600","display_name":"Takashi Hikihara","orcid":"https://orcid.org/0000-0002-0029-4358","observed_orcids":["https://orcid.org/0000-0002-0029-4358"]},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hikihara, Takashi","raw_affiliation_strings":["Kyoto University , Yoshida-honmachi , Sakyo , Kyoto 606-8501 , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University , Yoshida-honmachi , Sakyo , Kyoto 606-8501 , Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130454264","display_name":"Yuma Aoki","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Aoki, Yuma","raw_affiliation_strings":["Department of Electrical Engineering , Kyoto University , Kyotodaigaku-katsura , Nishikyo , Kyoto 615-8510 , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering , Kyoto University , Kyotodaigaku-katsura , Nishikyo , Kyoto 615-8510 , Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I22299242"],"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9926999807357788,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9926999807357788,"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/T11187","display_name":"Nonlinear Dynamics and Pattern Formation","score":0.004800000227987766,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear 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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/physical-reservoir-computing","display_name":"physical reservoir computing","score":0.9900000095367432},{"id":"https://openalex.org/keywords/duffing-oscillator","display_name":"Duffing oscillator","score":0.9819999933242798},{"id":"https://openalex.org/keywords/saddle-node-bifurcation","display_name":"saddle-node bifurcation","score":0.8489999771118164},{"id":"https://openalex.org/keywords/semantic-drift","display_name":"semantic drift","score":0.5289999842643738},{"id":"https://openalex.org/keywords/traveling-waves","display_name":"traveling waves","score":0.6309999823570251},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"fault tolerance","score":0.6589999794960022},{"id":"https://openalex.org/keywords/phase-transitions","display_name":"phase transitions","score":0.5640000104904175}],"concepts":[{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.6489999890327454},{"id":"https://openalex.org/C116672817","wikidata":"https://www.wikidata.org/wiki/Q1454986","display_name":"Physical system","level":2,"score":0.5849999785423279},{"id":"https://openalex.org/C85725439","wikidata":"https://www.wikidata.org/wiki/Q466686","display_name":"Anisotropy","level":2,"score":0.5636000037193298},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5083000063896179},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.4812000095844269},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.4666000008583069},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.444599986076355},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.43529999256134033},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.4174000024795532},{"id":"https://openalex.org/C2781349735","wikidata":"https://www.wikidata.org/wiki/Q4904824","display_name":"Bifurcation","level":3,"score":0.3984000086784363},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3801000118255615},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.34040001034736633},{"id":"https://openalex.org/C99535591","wikidata":"https://www.wikidata.org/wiki/Q1817095","display_name":"Interlock","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.33730000257492065},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C36299963","wikidata":"https://www.wikidata.org/wiki/Q1369844","display_name":"Observability","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.29679998755455017},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2621999979019165},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.25690001249313354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25110000371932983}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2608.26741","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.26741","pdf_url":"https://arxiv.org/pdf/2608.26741","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2608.26741","doi":"https://doi.org/10.48550/arxiv.2608.26741","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2608.26741","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2608.26741","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.26741","pdf_url":"https://arxiv.org/pdf/2608.26741","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G777346016","display_name":"State-space dimension control using a data-driven approach through high-speed multirate sampling of transient characteristics","funder_award_id":"26K07513","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204551304.pdf","grobid_xml":"https://content.openalex.org/works/W7204551304.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4402158706","https://openalex.org/W7143928481","https://openalex.org/W2003453810","https://openalex.org/W7171561096","https://openalex.org/W4403115226","https://openalex.org/W7124862715","https://openalex.org/W4416181176","https://openalex.org/W7148585756","https://openalex.org/W7126155380","https://openalex.org/W7123274141"],"abstract_inverted_index":{"We":[0],"demonstrate":[1],"a":[2,10,21,36,44,60,65,76,114],"physical":[3,11,66,122],"mechanism":[4],"for":[5,52,117],"causal":[6],"information":[7,47,92],"filtering":[8],"in":[9,39],"reservoir":[12],"computing":[13],"(PRC)":[14],"by":[15],"exploiting":[16],"asymmetric":[17],"coupling":[18,34],"anisotropy.":[19],"Using":[20],"network":[22],"of":[23,32,56,75,98,109],"coupled":[24],"Duffing":[25],"oscillators,":[26],"we":[27,83],"show":[28],"that":[29,85,105],"the":[30,40,53,95,99,106,110],"directionality":[31],"internal":[33],"induces":[35],"spatial":[37],"gradient":[38],"effective":[41],"potential,":[42],"establishing":[43],"deterministic":[45],"upstream-to-downstream":[46],"flow.":[48],"This":[49],"anisotropy":[50],"allows":[51],"selective":[54],"amplification":[55],"semantic":[57],"drifts,":[58],"triggering":[59],"macroscopic":[61],"saddle-node":[62],"bifurcation":[63],"as":[64],"interlock":[67],"before":[68],"global":[69],"computational":[70,96],"failure.":[71],"Through":[72],"spatiotemporal":[73],"analysis":[74],"50-node":[77],"system":[78],"under":[79],"traveling":[80],"wave":[81],"inputs,":[82],"confirm":[84],"local":[86],"phase":[87],"transitions":[88],"effectively":[89],"purge":[90],"anomalous":[91],"while":[93],"preserving":[94],"integrity":[97],"remaining":[100],"nodes.":[101],"The":[102],"results":[103],"suggest":[104],"intrinsic":[107],"causality":[108],"reservoir's":[111],"topology":[112],"provides":[113],"robust":[115],"framework":[116],"autonomous":[118],"reliability":[119],"and":[120],"fault-tolerant":[121],"intelligence.":[123]},"counts_by_year":[],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2026-08-29T00:00:00"}
