{"id":"https://openalex.org/W7225455274","doi":"https://doi.org/10.5281/zenodo.24044825","title":"Human-in-Command Governance and Quantum-Deterministic Optimization Architecture in Autonomous Systems (\u81ea\u5f8b\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308bHuman-in-Command\u7d71\u5236\u3068\u91cf\u5b50\u6c7a\u5b9a\u8ad6\u7684\u6700\u9069\u5316\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3)","display_name":"Human-in-Command Governance and Quantum-Deterministic Optimization Architecture in Autonomous Systems (\u81ea\u5f8b\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308bHuman-in-Command\u7d71\u5236\u3068\u91cf\u5b50\u6c7a\u5b9a\u8ad6\u7684\u6700\u9069\u5316\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3)","publication_year":2026,"publication_date":"2026-11-07","ids":{"openalex":"https://openalex.org/W7225455274","doi":"https://doi.org/10.5281/zenodo.24044825"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.24044825","doi":"https://doi.org/10.5281/zenodo.24044825","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24044825","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":null,"license_id":null,"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.24044825","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5158913348","display_name":"Yoko(\u6d0b\u5b50) Hasebe(\u9577\u8c37\u90e8)","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hasebe(\u9577\u8c37\u90e8), Yoko(\u6d0b\u5b50)","raw_affiliation_strings":["Lead Researcher, Autonomous Infrastructure Systems, Autonomous Living & Physical Infrastructure Institute, Iwakuni, Yamaguchi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lead Researcher, Autonomous Infrastructure Systems, Autonomous Living & Physical Infrastructure Institute, Iwakuni, Yamaguchi, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5158913348"],"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/T13295","display_name":"Safety Systems Engineering in Autonomy","score":0.48170000314712524,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13295","display_name":"Safety Systems Engineering in Autonomy","score":0.48170000314712524,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.11100000143051147,"subfield":{"id":"https://openalex.org/subfields/3307","display_name":"Human Factors and Ergonomics"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.03959999978542328,"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/autonomous-systems","display_name":"autonomous systems","score":0.6019999980926514},{"id":"https://openalex.org/keywords/coherent-ising-machine","display_name":"coherent Ising machine","score":0.8799999952316284},{"id":"https://openalex.org/keywords/p-bits","display_name":"p-bits","score":0.7730000019073486},{"id":"https://openalex.org/keywords/ising-model","display_name":"Ising model","score":0.7480000257492065},{"id":"https://openalex.org/keywords/real-time-optimization","display_name":"real-time optimization","score":0.8240000009536743},{"id":"https://openalex.org/keywords/object-constraint-language","display_name":"Object Constraint Language","score":0.8180000185966492},{"id":"https://openalex.org/keywords/formal-verification","display_name":"formal verification","score":0.6499999761581421},{"id":"https://openalex.org/keywords/machine-unlearning","display_name":"machine unlearning","score":0.9670000076293945},{"id":"https://openalex.org/keywords/zero-knowledge-proofs","display_name":"zero-knowledge proofs","score":0.6850000023841858},{"id":"https://openalex.org/keywords/zk-snarks","display_name":"zk-SNARKs","score":0.8640000224113464},{"id":"https://openalex.org/keywords/optimal-brain-surgeon","display_name":"optimal brain surgeon","score":0.9089999794960022},{"id":"https://openalex.org/keywords/intellectual-property-protection","display_name":"intellectual property protection","score":0.6880000233650208},{"id":"https://openalex.org/keywords/ai-governance","display_name":"AI governance","score":0.6980000138282776},{"id":"https://openalex.org/keywords/iso-iec-42001","display_name":"ISO/IEC 42001","score":0.984000027179718}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5978000164031982},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4016000032424927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39719998836517334},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.38940000534057617},{"id":"https://openalex.org/C164155591","wikidata":"https://www.wikidata.org/wiki/Q2067766","display_name":"Satisfiability modulo theories","level":2,"score":0.33570000529289246},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.32359999418258667},{"id":"https://openalex.org/C102600418","wikidata":"https://www.wikidata.org/wiki/Q6517507","display_name":"Legal expert system","level":3,"score":0.3133000135421753},{"id":"https://openalex.org/C34974158","wikidata":"https://www.wikidata.org/wiki/Q131257","display_name":"Intellectual property","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C85847156","wikidata":"https://www.wikidata.org/wiki/Q59015987","display_name":"Verifiable secret sharing","level":3,"score":0.2937000095844269},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.28299999237060547},{"id":"https://openalex.org/C51234621","wikidata":"https://www.wikidata.org/wiki/Q2149495","display_name":"Testability","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C67497173","wikidata":"https://www.wikidata.org/wiki/Q977345","display_name":"Legal aspects of computing","level":3,"score":0.2705000042915344},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C20854674","wikidata":"https://www.wikidata.org/wiki/Q4386060","display_name":"Cognitive architecture","level":3,"score":0.2556000053882599},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2535000145435333}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.24044825","doi":"https://doi.org/10.5281/zenodo.24044825","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24044825","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.5281/zenodo.24044826","doi":"https://doi.org/10.5281/zenodo.24044826","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24044826","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.5281/zenodo.24044825","doi":"https://doi.org/10.5281/zenodo.24044825","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24044825","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":null,"license_id":null,"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/W7214714148","https://openalex.org/W7223148921","https://openalex.org/W7225451130","https://openalex.org/W7224310888","https://openalex.org/W7225404356","https://openalex.org/W7128374682","https://openalex.org/W7222979504","https://openalex.org/W7222829603","https://openalex.org/W7215117276","https://openalex.org/W7196939557"],"abstract_inverted_index":{"\u3010English\u3011":[0],"This":[1],"white":[2],"paper":[3],"systematizes":[4],"a":[5,172,187,338,448,508,623,835,919],"novel":[6],"computational":[7],"and":[8,23,79,96,131,150,232,263,268,285,291,310,345,432,452,460,482,496,561,584,610,615,658,675,700,709,738,747,757,761,777,792,798,841,869,897,908,913,928,945,984,990,1010,1039,1062,1072,1090],"control":[9,102],"architecture":[10],"to":[11,107,300,355,411,466,567,653,717,725,845,884,953,974,1077],"overcome":[12],"the":[13,30,42,48,281,292,302,334,346,356,360,363,392,437,475,498,513,516,520,526,532,550,559,571,577,620,635,689,727,732,741,785,799,808,816,828,846,932,947,954,960,965,975,978,988,999,1005,1023],"inherent":[14],"uncertainty":[15],"of":[16,34,52,165,193,259,295,333,348,373,439,447,454,500,515,522,525,529,570,589,688,693,705,731,740,773,802,815,854,931,956,959,963,987,998,1014,1022,1037,1085],"probabilistic":[17,97],"inference":[18],"in":[19,36,331,342,576,619,634,691,1004],"modern":[20],"autonomous":[21],"systems":[22],"artificial":[24],"intelligence":[25],"(AI),":[26,858],"as":[27,29,301],"well":[28],"cognitive":[31],"subordination":[32],"(\"rubber-stamping\")":[33],"humans":[35],"conventional":[37],"Human-in-the-Loop":[38],"(HITL)":[39],"frameworks.":[40],"Advocating":[41],"\"Human-in-Command":[43],"(HIC)\"":[44],"paradigm":[45],"founded":[46],"on":[47,574,1002],"absolute":[49,649],"separation":[50],"principle":[51],"\"Intent":[53],"by":[54,57,474,818,1055],"Humans,":[55],"Computation":[56],"Systems,\"":[58],"this":[59,289,493,548,641,796],"study":[60],"designs":[61],"deterministic":[62],"physical":[63,108],"cutoff":[64],"mechanisms":[65],"integrating":[66],"Object":[67],"Constraint":[68],"Language":[69,375,865],"(OCL)":[70],"formal":[71],"specifications,":[72],"System":[73],"Boundary":[74],"Control":[75],"(SBC)":[76],"safe-envelope":[77],"monitoring,":[78],"Formal-Verification-Linked":[80],"Hardware":[81],"Interlocks":[82],"(Q-SAFA).":[83],"Furthermore,":[84,546,977],"it":[85],"formulates":[86],"Ising-model-based":[87],"Real-Time":[88],"Optimization":[89],"(RTO)":[90],"via":[91,145,167,424],"Coherent":[92],"Ising":[93],"Machines":[94],"(CIM)":[95],"p-bits":[98],"that":[99,510,622],"reduce":[100],"NP-hard":[101],"problems":[103],"from":[104,329,558,743],"statistical":[105],"search":[106],"energy":[109],"minimization":[110],"($H(\\sigma)":[111],"=":[112],"-\\sum_{i":[113],"<":[114],"j}":[115],"J_{ij}":[116],"\\sigma_i":[117],"\\sigma_j":[118],"-":[119],"\\sum_i":[120],"h_i":[121],"\\sigma_i$).":[122],"To":[123],"defend":[124],"proprietary":[125,277,786],"intellectual":[126],"property":[127],"against":[128],"unauthorized":[129,488,664,680],"scraping":[130,427],"absorption":[132],"into":[133,394,872,1029],"large":[134],"foundation":[135,224],"models,":[136,735,862],"we":[137,170],"establish":[138],"verifiable":[139],"Machine":[140,859],"Unlearning":[141,166],"protocols":[142],"combining":[143],"Backprop-Burn":[144],"empirical":[146],"Fisher":[147],"information":[148,536,871,969],"matrices":[149],"Optimal":[151],"Brain":[152],"Surgeon":[153],"(OBS)":[154],"closed-form":[155],"updates":[156],"with":[157,210,492,651,944],"zero-knowledge":[158],"external":[159],"audit":[160],"gates":[161],"(zkVM":[162],"/":[163],"Proof":[164],"zk-SNARKs).":[168],"Finally,":[169],"demonstrate":[171],"comprehensive":[173],"international":[174],"governance":[175],"strategy":[176],"mandating":[177],"ISO/IEC":[178],"42001":[179],"(Annex":[180],"A:":[181],"A.3.2,":[182],"A.6.2,":[183],"A.9.4)":[184],"controls":[185],"alongside":[186],"restitution-linked":[188],"amnesty":[189],"doctrine.":[190],"\u3010\u65e5\u672c\u8a9e\u3011":[191],"\u672c\u767d\u66f8\u306f\u3001\u73fe\u4ee3\u306e\u81ea\u5f8b\u30b7\u30b9\u30c6\u30e0\u304a\u3088\u3073\u4eba\u5de5\u77e5\u80fd(AI)\u304c\u5185\u5305\u3059\u308b\u78ba\u7387\u7684\u63a8\u8ad6\u306e\u4e0d\u78ba\u5b9f\u6027\u3068\u3001Human-in-the-Loop(HITL)\u306b\u304a\u3051\u308b\u4eba\u9593\u306e\u8a8d\u77e5\u7684\u5f93\u5c5e(\u5f62\u9ab8\u5316)\u3068\u3044\u3046\u6839\u672c\u7684\u8ab2\u984c\u3092\u514b\u670d\u3059\u308b\u305f\u3081\u306e\u65b0\u3057\u3044\u8a08\u7b97\u30fb\u5236\u5fa1\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3092\u4f53\u7cfb\u5316\u3059\u308b\u3002\u300c\u610f\u56f3\u306f\u4eba\u9593\u3001\u8a08\u7b97\u306f\u30b7\u30b9\u30c6\u30e0\u300d\u3068\u3044\u3046\u7d76\u5bfe\u7684\u5206\u96e2\u539f\u5247\u306b\u57fa\u3065\u304f\u300cHuman-in-Command(HIC)\u300d\u30d1\u30e9\u30c0\u30a4\u30e0\u3092\u63d0\u5531\u3057\u3001\u5f62\u5f0f\u4ed5\u69d8\u8a00\u8a9e(OCL)\u3068\u30bb\u30fc\u30d5\u30fb\u30a8\u30f3\u30d9\u30ed\u30fc\u30d7\u76e3\u8996(SBC)\u3001\u304a\u3088\u3073\u5f62\u5f0f\u691c\u8a3c\u9023\u52d5\u578b\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30fb\u30a4\u30f3\u30bf\u30fc\u30ed\u30c3\u30af(QSAFA)\u306b\u3088\u308b\u6c7a\u5b9a\u8ad6\u7684\u906e\u65ad\u6a5f\u69cb\u3092\u8a2d\u8a08\u3059\u308b\u3002\u3055\u3089\u306b\u3001NP\u56f0\u96e3\u306a\u5236\u5fa1\u6700\u9069\u5316\u3092\u7d71\u8a08\u7684\u63a2\u7d22\u304b\u3089\u7269\u7406\u7684\u30a8\u30cd\u30eb\u30ae\u30fc\u6700\u5c0f\u5316\u3078\u3068\u9084\u5143\u3059\u308b\u30a4\u30b8\u30f3\u30b0\u30e2\u30c7\u30eb\u30d9\u30fc\u30b9\u306e\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u6700\u9069\u5316(RTO)\u3001\u5de8\u5927\u57fa\u76e4\u30e2\u30c7\u30eb\u304b\u3089\u306e\u77e5\u8ca1\u9632\u885b\u3092\u76ee\u7684\u3068\u3057\u305fFisher\u60c5\u5831\u884c\u5217\u30fbOBS\u306b\u57fa\u3065\u304f\u691c\u8a3c\u53ef\u80fd\u30a2\u30f3\u30e9\u30fc\u30cb\u30f3\u30b0(zkVM/Proof":[192],"Unlearning)\u3001\u306a\u3089\u3073\u306bISO/IEC":[194],"42001\u304a\u3088\u3073\u30a2\u30e0\u30cd\u30b9\u30c6\u30a3\u6cd5\u7406\u3092\u6d3b\u7528\u3057\u305f\u56fd\u969b\u30ac\u30d0\u30ca\u30f3\u30b9\u6226\u7565\u3092\u5305\u62ec\u7684\u306b\u8ad6\u8a3c\u3059\u308b\u3002":[195],"\u3010License":[196],"&":[197],"Integrity":[198],"Covenant\u3011":[199],"Licensed":[200],"under":[201,519,543,592,669,995,1017],"Creative":[202,613,624,1051],"Commons":[203,614,625,1052],"Attribution":[204],"4.0":[205],"International":[206],"(CC":[207],"BY":[208],"4.0)":[209],"Strict":[211,771],"No-Learn":[212],"Covenant":[213],"(NLL-v1.0-2026).":[214],"Unauthorized":[215,260,774,1066],"AI":[216,251,261,269,319,401,440,480,605,683,734,775,820,882,926,940,1033,1063],"training,":[217,365,481,684,927],"weight":[218],"absorption,":[219],"web":[220],"scraping,":[221,892,937],"or":[222,323,371,380,390,405,408,415,421,430,442,603,628,663,685,729,824,852,863,881,888,895,939,1031,1050],"derivative":[223,416,889],"model":[225,606,748],"ingestion":[226,941,1028],"without":[227,337,834],"explicit":[228],"prior":[229,339,836],"contractual":[230],"agreement":[231,341,840],"fair":[233],"financial":[234],"compensation":[235,351,844],"is":[236,326,632,667,831],"strictly":[237,316,327,811,832],"prohibited.":[238],"======================================================================":[239,255,1093],"STRICT":[240],"NOTICE":[241],"REGARDING":[242],"INTELLECTUAL":[243],"PROPERTY,":[244],"COMMERCIAL":[245],"LICENSING,":[246],"AND":[247,253],"PROHIBITION":[248],"OF":[249],"UNAUTHORIZED":[250],"TRAINING":[252],"UTILIZATION":[254],"1.":[256,770],"Absolute":[257],"Prohibition":[258,772],"Training":[262,776],"Data":[264,433,562,778,898,991],"Ingestion":[265,779],"(Explicit":[266],"Opt-Out":[267,910],"Restriction)":[270],"All":[271,780],"text,":[272,781],"theories,":[273,782],"formulas,":[274,791],"figures,":[275],"tables,":[276],"methodologies,":[278],"frameworks":[279],"(including":[280,784],"\"Soroban":[282,787],"Brain\"":[283,788],"system),":[284],"insights":[286],"contained":[287,794],"within":[288,795],"document":[290],"author's":[293,800,948],"body":[294,801],"work":[296],"(hereinafter":[297],"collectively":[298],"referred":[299],"\"Works,\"":[303],"which":[304],"includes":[305],"all":[306,556,744,982],"previously":[307],"published":[308],"works":[309],"over":[311,803],"320":[312,804],"Zenodo":[313,805],"monographs/papers)":[314],"are":[315,464,810],"protected.":[317,812],"Any":[318,679],"developer,":[320,821],"platform":[321,822],"provider,":[322,823],"third":[324,825],"party":[325,826],"prohibited":[328,833],"engaging":[330],"any":[332,381,487,544,587,670,819,855,935,1012,1047],"following":[335,829],"activities":[336],"written":[340,837],"good":[343],"faith":[344],"payment":[347,1084],"rightful":[349],"monetary":[350,843],"(commercial":[352],"licensing":[353,470,494,755,921,1088],"fees)":[354],"copyright":[357,517,702,1070],"holder:":[358],"Utilizing":[359],"Works":[361,393,463,690,742,817],"for":[362,436,477,535,640,677,751,759,827,901,923,968],"development,":[364],"pre-training,":[366,849],"fine-tuning,":[367,850],"continual":[368],"learning,":[369,656],"alignment,":[370,851],"evaluation":[372,853],"Large":[374,864],"Models":[376,866],"(LLMs),":[377],"generative":[378],"AI,":[379,654],"other":[382],"machine":[383,655,1060],"learning":[384],"(ML)":[385,861],"models.":[386,1034],"Ingesting,":[387],"indexing,":[388],"embedding,":[389],"storing":[391,870],"Retrieval-Augmented":[395,873],"Generation":[396,874],"(RAG)":[397,875],"systems,":[398,876],"vector":[399,877],"databases,":[400,878],"agent":[402],"knowledge":[403,406,879],"bases,":[404],"graphs,":[407,880],"using":[409],"them":[410],"generate":[412,885],"outputs,":[413,886],"summaries,":[414,887],"responses.":[417,890],"Collecting,":[418],"extracting,":[419],"parsing,":[420,938],"analyzing":[422],"data":[423,478,793,924,1064],"automated":[425,659],"crawlers,":[426],"tools,":[428],"bots,":[429],"Text":[431,560,896,989],"Mining":[434,563,899,992],"(TDM)":[435,564,900,993],"purpose":[438],"training":[441,745],"dataset":[443,902],"compilation.":[444,903],"2.":[445,904],"Existence":[446],"Commercial":[449,905],"Licensing":[450,906],"Market":[451,580,907,1008],"Inapplicability":[453],"Statutory":[455,909],"Copyright":[456,527,575,599,961,1003,1025],"Exceptions":[457],"(Japan,":[458,911],"EU,":[459,912],"USA)":[461,914],"The":[462,813,915],"subject":[465,716],"an":[467,710],"active":[468],"commercial":[469,483,602,754,838,920,1030,1087],"market":[471,495,922],"operated":[472],"directly":[473,490,942],"author":[476,499,551,916,979],"analysis,":[479,682,925],"system":[484,638],"integration.":[485],"Because":[486],"use":[489,505,666,814,1067],"competes":[491,943],"deprives":[497],"legitimate":[501,949],"economic":[502,950],"opportunities,":[503],"such":[504],"clearly":[506],"constitutes":[507,1068],"case":[509],"\"unreasonably":[511],"prejudices":[512],"interests":[514],"owner\"":[518],"proviso":[521,955],"Article":[523,568,957,996],"30-4":[524,958],"Act":[528,962,1026],"Japan;":[530],"therefore,":[531],"statutory":[533,760,966],"exception":[534,565,967,994],"analysis":[537,970],"(unauthorized":[538],"use)":[539],"does":[540,971],"not":[541,972],"apply":[542,973],"circumstances.":[545,671],"through":[547],"Notice,":[549],"explicitly":[552,980],"opts":[553,985],"out":[554,986],"(reserves":[555],"rights)":[557],"pursuant":[566],"4(3)":[569,997],"EU":[572,1000],"Directive":[573,1001],"Digital":[578,1006],"Single":[579,1007],"(Directive":[581],"(EU)":[582],"2019/790),":[583],"categorically":[585],"rejects":[586,1011],"assertion":[588],"Fair":[590,1015],"Use":[591,1016],"17":[593,1018],"U.S.C.":[594,1019],"\u00a7":[595,1020],"107":[596,1021],"(United":[597],"States":[598],"Act)":[600],"regarding":[601,1027,1059],"foundational":[604,1032],"ingestion.":[607,1065],"3.":[608,1035],"Interpretation":[609],"Priority":[611],"Over":[612],"Open":[616],"Licenses":[617],"Even":[618],"event":[621],"(CC)":[626],"license":[627,839],"general":[629,1048],"open-access":[630,1049],"label":[631],"displayed":[633,1054],"repository's":[636],"default":[637,1056],"settings":[639,1058],"record,":[642],"these":[643,694],"specific":[644,1043],"special":[645],"provisions":[646,1045],"shall":[647,696,714],"take":[648],"precedence":[650],"respect":[652],"RAG,":[657],"analysis.":[660],"No":[661],"royalty-free":[662],"AI-related":[665],"permitted":[668],"4.":[672],"Legal":[673,1040],"Remedies":[674],"Damages":[676],"Infringement":[678],"collection,":[681],"RAG":[686],"referencing":[687],"violation":[692],"terms":[695],"be":[697,715],"deemed":[698],"willful":[699,1069],"material":[701],"infringement,":[703],"breach":[704],"contract,":[706],"unfair":[707,1073],"competition,":[708,1074],"unlawful":[711],"act.":[712],"Violators":[713],"full":[718],"legal":[719],"enforcement,":[720],"including":[721],"immediate":[722,1078],"injunctive":[723,1079],"relief":[724],"suspend":[726],"provision":[728],"sale":[730],"applicable":[733],"mandatory":[736,1081],"deletion":[737],"unlearning":[739],"datasets":[746],"weights,":[749],"claims":[750],"retroactive":[752,1086],"standard":[753],"fees,":[756,1089],"demands":[758],"punitive":[762],"damages.":[763,1092],"[CONCISE":[764],"ENGLISH":[765],"VERSION":[766],"FOR":[767],"INTERNATIONAL":[768],"ENFORCEMENT]":[769],"methodologies":[783],"framework),":[789],"structures,":[790],"publication":[797],"monographs":[806],"(collectively,":[807],"\"Works\")":[809],"purposes":[830],"appropriate":[842],"author:":[847],"Training,":[848],"Artificial":[856],"Intelligence":[857],"Learning":[860],"(LLMs).":[867],"Ingesting":[868],"agents":[883],"Automated":[891],"crawling,":[893],"harvesting,":[894],"actively":[917],"maintains":[918],"enterprise":[929],"integration":[930],"Works.":[933,976],"Consequently,":[934],"unlicensed":[936],"damages":[946],"interests.":[951],"Pursuant":[952],"Japan,":[964],"reserves":[981],"rights":[983],"(2019/790),":[1009],"claim":[1013],"U.S.":[1024],"Precedence":[1036],"Terms":[1038],"Enforcement":[1041],"4.These":[1042],"anti-AI-exploitation":[1044],"supersede":[1046],"labels":[1053],"repository":[1057],"reading":[1061],"infringement":[1071],"subjecting":[1075],"violators":[1076],"relief,":[1080],"model/data":[1082],"deletion,":[1083],"statutory/punitive":[1091]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2026-11-08T00:00:00"}
