{"id":"https://openalex.org/W7225460203","doi":"https://doi.org/10.5281/zenodo.24029708","title":"Zeros on the Critical Line, Cellular Automaton Universality, and Omnidirectional Video Quality Assessment \u2014 E8 Intelligence Research","display_name":"Zeros on the Critical Line, Cellular Automaton Universality, and Omnidirectional Video Quality Assessment \u2014 E8 Intelligence Research","publication_year":2026,"publication_date":"2026-11-07","ids":{"openalex":"https://openalex.org/W7225460203","doi":"https://doi.org/10.5281/zenodo.24029708"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.24029708","doi":"https://doi.org/10.5281/zenodo.24029708","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24029708","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.24029708","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5155309988","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/A5155309988"],"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/T11166","display_name":"Analytic Number Theory Research","score":0.16580000519752502,"subfield":{"id":"https://openalex.org/subfields/2602","display_name":"Algebra and Number Theory"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11166","display_name":"Analytic Number Theory Research","score":0.16580000519752502,"subfield":{"id":"https://openalex.org/subfields/2602","display_name":"Algebra and Number Theory"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13674","display_name":"Computer Science and Engineering","score":0.13089999556541443,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.07699999958276749,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/riemann-hypothesis","display_name":"Riemann hypothesis","score":0.968999981880188},{"id":"https://openalex.org/keywords/zeros-of-the-riemann-zeta-function","display_name":"Riemann zeta function zeros","score":0.8679999709129333},{"id":"https://openalex.org/keywords/critical-line","display_name":"critical line","score":0.9079999923706055},{"id":"https://openalex.org/keywords/cellular-automata","display_name":"cellular automata","score":0.7630000114440918},{"id":"https://openalex.org/keywords/conway-s-game-of-life","display_name":"Conway's Game of Life","score":0.9900000095367432},{"id":"https://openalex.org/keywords/universality","display_name":"universality","score":0.6890000104904175},{"id":"https://openalex.org/keywords/turing-completeness","display_name":"Turing completeness","score":0.8849999904632568},{"id":"https://openalex.org/keywords/360-degree-video","display_name":"360-degree video","score":0.8360000252723694},{"id":"https://openalex.org/keywords/visual-quality-assessment","display_name":"visual quality assessment","score":0.8980000019073486},{"id":"https://openalex.org/keywords/geodesic-distance","display_name":"geodesic distance","score":0.8339999914169312},{"id":"https://openalex.org/keywords/rate-distortion-trade-off","display_name":"rate-distortion tradeoff","score":0.8769999742507935},{"id":"https://openalex.org/keywords/cross-modal-attention","display_name":"cross-modal attention","score":0.9860000014305115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6240000128746033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46209999918937683},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41609999537467957},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33320000767707825},{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.32850000262260437},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3231000006198883},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.3212999999523163},{"id":"https://openalex.org/C35527583","wikidata":"https://www.wikidata.org/wiki/Q189156","display_name":"Cellular automaton","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.3156999945640564},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.3095000088214874},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3093999922275543},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29030001163482666},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.28839999437332153},{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.2808000147342682},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C36299963","wikidata":"https://www.wikidata.org/wiki/Q1369844","display_name":"Observability","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.26739999651908875},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.26170000433921814}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.24029708","doi":"https://doi.org/10.5281/zenodo.24029708","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24029708","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.24029709","doi":"https://doi.org/10.5281/zenodo.24029709","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24029709","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.24029708","doi":"https://doi.org/10.5281/zenodo.24029708","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24029708","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2408206162","https://openalex.org/W7027009219","https://openalex.org/W7202287280","https://openalex.org/W7076566069","https://openalex.org/W7171717911","https://openalex.org/W143882301","https://openalex.org/W7099757446","https://openalex.org/W3200415208","https://openalex.org/W7225016224","https://openalex.org/W6999176051"],"abstract_inverted_index":{"FINDING:":[0,27,62,90,114],"Riemann":[1],"Hypothesis":[2],"\u2013":[3,37,69,95,118],"all":[4],"non\u2011trivial":[5],"zeros":[6],"of":[7,30,56,144],"\u03b6(s)":[8],"lie":[9],"on":[10],"Re":[11],"s":[12],"=":[13,19],"\u00bd":[14],"|":[15,21,24,43,52,59,77,84,87,102,108,111,130,134],"MATH:":[16,44,78,103,131],"\u03b6(s)=\u2211_{n=1}^\u221e":[17],"n^{-s}":[18],"\u03a0_{p}(1\u2212p^{-s})^{-1}":[20],"CONNECTION:":[22,53,85,109],"none":[23,86,110],"DEPTH:":[25,60,88,112],"10":[26],"Conway's":[28],"Game":[29],"Life":[31],"as":[32],"a":[33],"universal":[34],"cellular":[35],"automaton":[36],"emergent":[38],"patterns":[39],"encode":[40],"Turing\u2011complete":[41],"computation":[42],"update":[45],"rule":[46],"f:":[47],"{0,1}^9\u2192{0,1}":[48],"with":[49,127],"Moore":[50],"neighbourhood":[51],"lattice":[54],"structure":[55],"square":[57],"grid":[58],"8":[61],"Visual":[63],"Quality":[64],"Assessment":[65],"for":[66],"Omnidirectional":[67],"Video":[68],"spherical":[70],"sampling":[71],"distortion":[72,79],"quantified":[73],"by":[74],"geodesic":[75],"distance":[76],"metric":[80],"D(\u03b8,\u03c6)=\u222b_{S^2}":[81],"|\u00ce(\u03b8,\u03c6)\u2212I(\u03b8,\u03c6)|":[82],"d\u03a9":[83],"5":[89],"Neural":[91],"Network":[92],"Image/Video":[93],"Compression":[94],"learned":[96],"transform":[97],"coding":[98],"improves":[99],"rate\u2011distortion":[100],"trade\u2011off":[101],"minimize":[104],"R+\u03bbD":[105],"where":[106],"R=E[log\u2082(1+|x\u0302\u2212x|\u00b2/\u03c3\u00b2)]":[107],"6":[113],"Video\u2011Language":[115],"Foundation":[116],"Models":[117],"cross\u2011modal":[119],"attention":[120,132],"weight":[121],"matrix":[122],"W\u2208\u211d^{T\u00d7V}":[123],"aligns":[124],"visual":[125],"tokens":[126,129],"language":[128],"a_{ij}=softmax((Q_iK_j^T)/\u221ad)":[133],"CO":[135],"Author:":[136],"Andrew":[137],"Stewart":[138],"Caldin,":[139],"Independent":[140],"Researcher,":[141],"UK.":[142],"Part":[143],"the":[145],"E8":[146],"Intelligence":[147],"Research":[148],"series.":[149],"Platform:":[150],"e8intelligence.com":[151]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2026-11-08T00:00:00"}