{"id":"https://openalex.org/W7225791312","doi":"https://doi.org/10.5281/zenodo.24128861","title":"Hermetic GeGLU Airlocks and Domain-Adaptive Context Distillation: Exact Zero-Crosstalk Multi-Domain Function Embedding in Quantized GGUF Foundation Models","display_name":"Hermetic GeGLU Airlocks and Domain-Adaptive Context Distillation: Exact Zero-Crosstalk Multi-Domain Function Embedding in Quantized GGUF Foundation Models","publication_year":2026,"publication_date":"2026-11-11","ids":{"openalex":"https://openalex.org/W7225791312","doi":"https://doi.org/10.5281/zenodo.24128861"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.24128861","doi":"https://doi.org/10.5281/zenodo.24128861","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24128861","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.24128861","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5161053048","display_name":"moneykoikoi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"moneykoikoi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5161053048"],"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.8759999871253967,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.8759999871253967,"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/T10028","display_name":"Topic Modeling","score":0.06800000369548798,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.031300000846385956,"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":[],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49970000982284546},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4927000105381012},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4871000051498413},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4629000127315521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4503999948501587},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.3986999988555908},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.3944000005722046},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.3752000033855438},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.3508000075817108},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.3472999930381775},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.34689998626708984},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.3231000006198883},{"id":"https://openalex.org/C2776261394","wikidata":"https://www.wikidata.org/wiki/Q315562","display_name":"Impossibility","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.30169999599456787},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.28060001134872437},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.2547000050544739},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.25279998779296875},{"id":"https://openalex.org/C177650935","wikidata":"https://www.wikidata.org/wiki/Q1760303","display_name":"Netlist","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.24128861","doi":"https://doi.org/10.5281/zenodo.24128861","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24128861","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.24128862","doi":"https://doi.org/10.5281/zenodo.24128862","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24128862","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.24128861","doi":"https://doi.org/10.5281/zenodo.24128861","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24128861","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":[],"abstract_inverted_index":{"Embedding":[0],"multiple":[1],"specialized":[2],"capabilities":[3],"directly":[4,322],"into":[5,323],"the":[6,82,94,110,197,377,487],"weights":[7,325],"of":[8,109,196,455],"a":[9,22],"quantized":[10],"foundation":[11],"model":[12],"without":[13,326],"degrading":[14],"its":[15],"general":[16,357],"linguistic":[17],"and":[18,116,133,283,349,478,492],"reasoning":[19],"intelligence":[20],"is":[21],"fundamental":[23],"challenge":[24],"in":[25],"modular":[26],"deep":[27],"learning.":[28],"While":[29],"prior":[30],"weight-space":[31],"programming":[32],"approaches":[33],"(including":[34],"our":[35],"earlier":[36],"Orthogonal":[37],"Soundproof":[38],"Weight":[39],"Programming":[40],"v1":[41],"study)":[42],"construct":[43],"mutually":[44],"orthogonal":[45,63,89],"linear":[46,62],"subspaces":[47],"(<h_base,":[48],"\u0394h>":[49],"=":[50,72,101,180,184,362],"0),":[51],"live":[52,479],"double-blind":[53,481],"audits":[54],"on":[55,74,176,210,265,335,376],"production":[56],"C++/CUDA":[57],"inference":[58],"(`llama-server.exe`)":[59],"reveal":[60],"that":[61,151,171],"adapters":[64],"still":[65],"suffer":[66],"from":[67,125],"severe":[68],"out-of-domain":[69,154],"crosstalk":[70],"(|\u0394logprob|":[71],"0.35980\u20131.33899":[73],"unrelated":[75,356],"prompts).":[76],"In":[77],"this":[78,123],"paper,":[79],"we":[80,128,162,317],"prove":[81],"**RMSNorm":[83],"Norm-Coupling":[84],"Impossibility":[85],"Theorem**:":[86],"any":[87],"non-zero":[88],"update":[90],"\u0394h":[91],"strictly":[92],"increases":[93],"squared":[95],"Euclidean":[96],"norm":[97],"||h_base":[98],"+":[99,103,300],"\u0394h||_2^2":[100],"||h_base||_2^2":[102],"||\u0394h||_2^2,":[104],"uniformly":[105],"attenuating":[106],"all":[107,153,354,472],"coordinates":[108],"base":[111,199,328],"representation":[112],"inside":[113],"`post_feedforward_layernorm`":[114],"(RMSNorm)":[115],"distorting":[117],"downstream":[118],"GeGLU":[119,131,286],"activations.":[120],"To":[121],"resolve":[122],"impossibility":[124],"first":[126],"principles,":[127],"introduce":[129],"**Hermetic":[130],"Airlocks**":[132],"**Domain-Adaptive":[134,288],"Hermetic":[135,289],"Context":[136,290],"Distillation":[137,291],"(HCD)**:1.":[138],"**IEEE-754":[139],"`GELU_tanh`":[140],"Exact":[141],"Dead-Zone":[142],"Gating:**":[143],"By":[144],"synthesizing":[145],"Two-Sided":[146],"Bounded":[147],"Universal-Cone":[148],"Gate":[149],"Projections":[150],"lock":[152],"pre-activations":[155],"below":[156],"z":[157],"<=":[158],"-18.5":[159],"<<":[160],"-5.15,":[161],"exploit":[163],"IEEE-754":[164],"single-precision":[165],"saturation":[166],"(tanh(u)":[167],"===":[168,173],"-1.0f)":[169],"so":[170],"GELU_tanh(z)":[172],"0.0f":[174],"identically":[175],"non-target":[177],"inputs.2.":[178],"**QK_K":[179],"256":[181],"&":[182,227,251,444,461],"QK8_1":[183],"32":[185],"Super-Block":[186],"Isolation:**":[187],"Our":[188],"lossless":[189],"GGUF":[190,466,475],"v3":[191,476],"binary":[192],"splicer":[193],"copies":[194],"100%":[195],"10,240":[198],"MLP":[200],"neurons":[201,206],"byte-for-byte":[202],"while":[203],"appending":[204],"+512":[205],"per":[207],"layer":[208],"partitioned":[209],"exact":[211],"32-element":[212],"Q8_1":[213],"boundaries":[214],"across":[215,353,365],"three":[216,266],"heterogeneous":[217],"functions:":[218],"-":[219,231,244,393,413,430,440],"Compartment":[220,232,245],"1":[221],"[0:192]:":[222],"32-bit":[223],"RISC-V":[224,431],"(`RV32IM`)":[225],"Register":[226],"Bitwise":[228],"ALU":[229,433],"Simulator":[230],"2":[233],"[192:384]:":[234],"Pure-Neural":[235],"ARC-AGI":[236,414],"2D":[237,415],"Spatial":[238,416],"Grid":[239],"Solver":[240],"(0%":[241],"external":[242],"Python)":[243],"3":[246],"[384:512]:":[247],"Cognitive-Rhythm":[248],"Japanese":[249,442],"Prose":[250,443],"Proofreading":[252],"Engine":[253],"(`kousei-jp`)3.":[254],"**Post-KV-Source":[255],"Spaced":[256],"Global-Attention":[257],"Placement":[258],"([29,":[259],"35,":[260],"41]):**":[261],"Mounting":[262],"airlocks":[263],"exclusively":[264],"non-adjacent":[267],"Global":[268],"Full-Attention":[269],"layers":[270],"within":[271],"Gemma-4-E4B's":[272],"shared-KV":[273],"readout":[274],"stack":[275],"(layers":[276],">=":[277],"24)":[278],"guarantees":[279],"zero":[280],"KV-cache":[281],"contamination":[282],"eliminates":[284],"consecutive-layer":[285],"snowballing.4.":[287],"(HCD)":[292],"with":[293,310,451],"C++":[294,312],"STE:**":[295],"Using":[296],"2-epoch":[297],"softcapped":[298],"Forward-KL":[299],"Cross-Entropy":[301],"distillation":[302,489],"over":[303],"oracle-verified":[304],"on-policy":[305],"trajectories":[306],"(`Clean-Apex":[307],"v7`)":[308],"paired":[309],"native":[311],"`ggml-base.dll`":[313],"Q4_K/Q6_K":[314],"Straight-Through":[315],"Estimation,":[316],"compile":[318],"in-context":[319],"skill":[320],"rules":[321],"in-graph":[324],"corrupting":[327],"arithmetic":[329],"or":[330],"fluency.":[331],"[Key":[332],"Empirical":[333],"Results":[334],"Live":[336],"Windows":[337],"CUDA":[338],"`llama-server.exe`":[339,480],"(Double-Blind,":[340],"cache_prompt=False,":[341],"temp=0.0)]-":[342],"**Exact":[343],"Zero":[344],"General":[345,370],"Crosstalk:**":[346],"`0.000000`":[347],"maximum":[348],"mean":[350],"logprob":[351],"drift":[352],"10":[355],"control":[358],"prompts":[359],"(Signal-to-Noise":[360],"Ratio":[361],"\u221e),":[363],"reproduced":[364],"5/5":[366],"independent":[367],"builds.-":[368],"**100%":[369],"Intelligence":[371],"Preservation:**":[372],"`11/12":[373],"(91.67%)`":[374],"accuracy":[375],"unseen":[378],"Control":[379],"benchmark":[380],"(0.00%":[381],"degradation":[382],"vs.":[383],"Clean-Apex":[384],"v7).-":[385],"**Simultaneous":[386],"Multi-Domain":[387],"Unseen":[388],"Gains":[389],"(36-Task":[390],"Held-Out":[391],"Suite):**":[392],"Overall":[394],"Suite:":[395],"`58.33%":[396],"(21/36)`":[397],"->":[398,422,437,448],"`72.22%":[399],"\u00b1":[400],"2.78%`":[401],"(`75.00%":[402],"[27/36]`":[403],"Peak":[404],"Run":[405,411],"A":[406],"/":[407],"`69.44%":[408],"[25/36]`":[409],"On-Disk":[410],"B)":[412],"Grids":[417],"(Pure":[418],"Neural):":[419],"`50.00%":[420,435],"(4/8)`":[421,436],"`75.00%\u2013100.00%":[423],"(6/8\u20138/8)`":[424],"via":[425],"spontaneous":[426],"column-trace":[427],"scratchpad":[428],"emergence":[429],"32-Bit":[432],"Simulation:":[434],"`62.50%":[438],"(5/8)`":[439],"`kousei-jp`":[441],"Editing:":[445],"`25.00%":[446],"(2/8)`":[447],"`37.50%":[449],"(3/8)`":[450],"`100.0%":[452],"(8/8)`":[453],"elimination":[454],"meta-signposting":[456],"phrases":[457],"[Public":[458],"Model":[459,465],"Weights":[460],"Reproducibility":[462],"Kit]-":[463],"Base":[464],"(`gemma-4-E4B-it-100B-clean-apex-v7-Q4_K_M.gguf`):":[467],"https://huggingface.co/moneykoikoi/Omega-Spatial-v5-Apex/tree/main-":[468],"Attached":[469],"`Hermetic_Airlock_v8_Reproducibility_Kit.zip`:":[470],"Contains":[471],"synthesis,":[473],"distillation,":[474],"splicing,":[477],"evaluation":[482],"scripts":[483],"(`build_hermetic_airlock_v8_gguf.py`,":[484],"`distill_onpolicy_3func_corpus.py`,":[485],"`eval_hermetic_3func_llamaserver.py`),":[486],"verified":[488],"corpus":[490],"(`onpolicy_verified_3func_corpus.json`),":[491],"raw":[493],"JSON":[494],"audit":[495],"logs.":[496],"DatasetReferences:":[497],"cognitive-rhythm-writing":[498],"cognitive-rhythm-writing/SKILL.md":[499]},"counts_by_year":[],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2026-11-12T00:00:00"}
