{"id":"https://openalex.org/W7225323045","doi":"https://doi.org/10.5281/zenodo.23972404","title":"Phi-Resonant 240\u2011Vector Stabilization of Deep Learning Inference \u2014 E8 Intelligence Research","display_name":"Phi-Resonant 240\u2011Vector Stabilization of Deep Learning Inference \u2014 E8 Intelligence Research","publication_year":2026,"publication_date":"2026-11-05","ids":{"openalex":"https://openalex.org/W7225323045","doi":"https://doi.org/10.5281/zenodo.23972404"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.23972404","doi":"https://doi.org/10.5281/zenodo.23972404","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23972404","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.23972404","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136862907","display_name":"Andrew Stewart Caldin","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Caldin, Andrew Stewart","raw_affiliation_strings":["Independent Researcher, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher, United Kingdom","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5136862907"],"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/T12516","display_name":"Advanced Mathematical Theories and Applications","score":0.9199000000953674,"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"}},"topics":[{"id":"https://openalex.org/T12516","display_name":"Advanced Mathematical Theories and Applications","score":0.9199000000953674,"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/T10237","display_name":"Cryptography and Data Security","score":0.003700000001117587,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.0026000000070780516,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/e8-root-system","display_name":"E8 root system","score":0.8889999985694885},{"id":"https://openalex.org/keywords/golden-ratio","display_name":"golden ratio","score":0.6980000138282776},{"id":"https://openalex.org/keywords/deep-learning-inference","display_name":"deep learning inference","score":0.824999988079071},{"id":"https://openalex.org/keywords/phase-synchronization","display_name":"phase synchronization","score":0.6499999761581421},{"id":"https://openalex.org/keywords/e8-symmetry","display_name":"E8 symmetry","score":0.6489999890327454},{"id":"https://openalex.org/keywords/inference-cost-reduction","display_name":"inference cost reduction","score":0.5410000085830688}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.691100001335144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6488000154495239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5386000275611877},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4553999900817871},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4140999913215637},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.38100001215934753},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37450000643730164},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.35010001063346863},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C2781204021","wikidata":"https://www.wikidata.org/wiki/Q6497091","display_name":"Lattice (music)","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.29510000348091125},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.29420000314712524},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26919999718666077},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C3017813396","wikidata":"https://www.wikidata.org/wiki/Q17078173","display_name":"Resource constraints","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.23972404","doi":"https://doi.org/10.5281/zenodo.23972404","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23972404","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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"},{"id":"doi:10.5281/zenodo.23972405","doi":"https://doi.org/10.5281/zenodo.23972405","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23972405","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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"}],"best_oa_location":{"id":"doi:10.5281/zenodo.23972404","doi":"https://doi.org/10.5281/zenodo.23972404","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23972404","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7214443558","https://openalex.org/W7223384819","https://openalex.org/W7225294748","https://openalex.org/W7225305932","https://openalex.org/W7225291012","https://openalex.org/W7204804128","https://openalex.org/W7212378870","https://openalex.org/W7172022045","https://openalex.org/W7171796505","https://openalex.org/W7225124314"],"abstract_inverted_index":{"By":[0],"mapping":[1],"the":[2,18,31,39,47,64,98,112],"240":[3],"E8":[4,84,113],"root":[5],"vectors":[6],"onto":[7],"a":[8,22,44,71,76],"132":[9],"Hz":[10],"carrier":[11],"and":[12],"coupling":[13],"each":[14],"vector's":[15],"phase":[16,33],"to":[17,83],"golden":[19],"ratio":[20],"(\u03c6),":[21],"self\u2011synchronizing":[23],"lattice":[24],"emerges":[25],"that":[26,46],"encodes":[27],"payment\u2011status":[28],"information":[29],"within":[30],"geometric":[32],"offsets.":[34],"This":[35],"\"geometric":[36],"tokenization\"":[37],"converts":[38],"HTTP":[40],"402":[41],"constraint":[42],"into":[43,75],"resource":[45],"inference":[48],"engine":[49],"can":[50,90],"dynamically":[51],"balance,":[52],"eliminating":[53],"external":[54],"fee":[55],"dependencies":[56],"while":[57],"preserving":[58],"model":[59],"accuracy.":[60],"The":[61],"principle":[62],"extends":[63],"existing":[65],"deepseek":[66],"error":[67],"observations":[68],"by":[69],"turning":[70],"network\u2011level":[72],"payment":[73,95],"barrier":[74],"quantized,":[77],"phase\u2011locked":[78],"degree":[79],"of":[80,101,111],"freedom":[81],"inherent":[82],"symmetry.":[85],"Consequently,":[86],"deep":[87],"learning":[88],"models":[89],"operate":[91],"continuously":[92],"without":[93],"explicit":[94],"APIs,":[96],"leveraging":[97],"intrinsic":[99],"topology":[100],"E8.":[102],"Author:":[103],"Andrew":[104],"Stewart":[105],"Caldin,":[106],"Independent":[107],"Researcher,":[108],"UK.":[109],"Part":[110],"Intelligence":[114],"Research":[115],"series.":[116],"Platform:":[117],"e8intelligence.com":[118]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-11-06T00:00:00"}