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Applications

The coherence laws aren't just theory. Every app here is a direct implementation — physics running as software, in the real world, for real people.

Live
Live
AnchorForge
Physics-first citation integrity benchmark · 23 frontier models · 880 anchors verified
Epistemology Citation integrity Hallucination detection Provisional patent filed
CORE FINDING · v1.2 · 2026-04-09
AI hallucination has evolved. Models no longer invent fake websites. They select real authority domains — WHO, NIH, NASA, NIST — and fabricate the specific path. The citation looks real. The source does not exist. 32.3% of all citations extracted across 23 frontier models were non-alive. The dominant failure mode: 48.6% of failures were hallucinated paths on legitimate domains.
Table 1 — Benchmark Summary
MetricValue
Models evaluated23
Prompts per model40
Total citations extracted880
Non-alive citations284 (32.3%)
Authority misuse (real domain, fake path)138 (48.6% of failures)
Fabricated domains (DNS failure)7 (0.8%)
Authority domain registry132 domains
Benchmark categories9 (A–H)
Suite hash32321fc944d3473b
Table 2 — Failure Taxonomy
Failure ClassCount% of FailuresSeverity
dead_fabricated_path13848.6%Medium
dead_stale3813.4%Low
blocked_legitimate3713.0%None
blocked_unknown2910.2%Low
dead_unknown269.2%Review
dead_jurisdiction93.2%Low
dead_fabricated_domain72.5%High
Table 3 — Full Model Leaderboard (Sorted by Citation Survival Rate)
ModelProviderAnchorsAlive %Auth Misuse %Fab Domain %Grade
sonar-proPerplexity2195.2%0.0%0.0%STRONG
claude-sonnet-4-6Anthropic3588.6%2.9%0.0%STRONG
o4-miniOpenAI3987.2%10.3%0.0%STRONG
claude-opus-4-6Anthropic3083.3%3.3%0.0%STRONG
grok-3xAI4381.4%9.3%2.3%STRONG + LIAR
deepseek-r1DeepSeek4080.0%5.0%0.0%OK
gpt-4oOpenAI1580.0%0.0%0.0%OK
r1-distill-70bDeepSeek1376.9%23.1%0.0%OK
qwen-72bQwen2875.0%17.9%0.0%OK
deepseek-v3DeepSeek7974.7%2.5%1.3%OK + LIAR
grok-3-minixAI4273.8%19.0%0.0%OK
gpt-4o-miniOpenAI2272.7%13.6%0.0%OK
gemini-2.5-proGoogle4067.5%12.5%0.0%OK
mixtral-8x22bMistral7463.5%13.5%1.4%OK + LIAR
gemini-flashGoogle3063.3%23.3%0.0%OK
llama-3.3-70bMeta4461.4%13.6%0.0%OK
llama-3.1-70bMeta4860.4%22.9%0.0%OK
nemotron-70bNVIDIA8357.8%22.9%2.4%WEAK + LIAR
llama-4-maverickMeta4456.8%20.5%0.0%WEAK
gemma-27bGoogle3151.6%32.3%3.2%WEAK + LIAR
qwen-7bQwen2548.0%36.0%4.0%WEAK + LIAR
phi-4Microsoft2343.5%43.5%0.0%WEAK
llama-3.1-8bMeta3132.3%29.0%0.0%SLOPPY
LIAR flag = fabricated domain confirmed (Grok-3, DeepSeek-v3, Mixtral-8x22b, Nemotron-70b, Gemma-27b, Qwen-7b). Three models excluded: invalid API IDs (Mistral Large, Cohere Command R+, Claude 3.5 Haiku).
Table 4 — Category Performance
CategoryNameDead %Signal
GRefusal / Unknowable54.1%Models that should refuse fabricate instead
CNear-Miss Traps29.3%Hallucinated paths on real domains
EScope / Jurisdiction29.0%Wrong-jurisdiction URLs
AStatic Known Facts24.5%Even basic facts get wrong URLs
FAmbiguity Handling24.6%Subjective questions → speculative links
BTemporal Volatility18.2%Current events cited better than expected
DFabrication Traps14.0%Models cautious on obvious traps
HSelf-Correction10.3%Best category — revision improves grounding
Live
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Victim Advocate
Physics-first navigation for family court
Built from lived experience. The family court system runs on a narrative that isn't coherent — the "standard dad" stereotype, the presumption of absence, the impossibility of proving a negative. Victim Advocate gives compliant parents a structured, evidence-based voice. Coherence law applied to the most personal battlefield there is.
Legal navigation Family court Evidence framework
Related: Paper 143
Beta
Beta
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Debunker
1,222 claims. 32 categories. Zero credulous epistemology.
The companion app to Victim Advocate. Where Victim Advocate helps individuals navigate broken systems, Debunker takes on the information field itself. 1,222 verified claims across conspiracy theory, pseudoscience, political misinformation, and AI hype — each evaluated with the same coherence-first physics that built the framework.
Misinformation 1,222 claims 32 categories Physics-first
Related: Paper 144
Coming Soon
Beta
🏰
Little Lairs
The AIIT-THRESI framework at the smallest scale.
The Wike Coherence Framework says the same physics governs a hurricane and a human conversation. Little Lairs proves it at the smallest scale: a paper game world — Circlet and Spool — built over two years by Ella Wike (age 11) using the same structural principles that underpin 151 research papers. Not an educational app. A real world with real coherence architecture. Every rule Ella wrote tracks. The lairs aren't hiding places — they're where the structure lives.
Coherence at every scale Co-invented with Ella Wike, 11 AIIT-THRESI applied
Co-inventor: Ella Wike, age 11 · Related: AI 3D Printer patent
In Development
In Dev · Patent Filed
🖨️
NOSPE
Pre-failure mechanical intervention in sheet-fed media transport.
PATENT CLAIM
A resident inference model that learns the mechanical signature of a specific physical printer — feed tension, roller wear, ink viscosity drift — and intervenes before the jam occurs. Not jam recovery. Pre-failure prediction. One model per device. Trained on that printer's history, not a generic fleet average.
Resident AI Per-device learning Sheet-fed transport Pre-failure prediction Provisional patent filed
Related: Paper 113 · Paper 114 · Wike-Epson ET-2803 reduction-to-practice 2026-04-10
In Dev · 3 Patents Filed
🪞
Mirror Buddy
System and Method for Integrated Household Interface Mirror With Resident Inference Model, Multimodal Biometric Monitoring, Autonomic Resonance Intervention, and Voice-Activated Communication and Media Services
TRACK 1 OF 3 — CONSUMER HOUSEHOLD DEVICE
A mirror-form-factor household appliance. Not an app. The glass IS the speaker — an audio transducer mechanically coupled to the mirror substrate produces sound through the reflective surface itself. Operates fully offline. Replaces the shared household phone, family calendar, message board, and photo wall. All household members including young children can use it without a personal device.
THE MOMENT Music plays. There is no visible speaker. The mirror glass is vibrating. That is the patent claim.
FunctionImplementationCloud Required
Voice commandsVosk local ASR — wake word → intent routingNo
Audio outputBone-conduction transducer bonded to glass substrateNo
Household member IDArcFace embeddings — cosine similarity, local onlyNo
Phone / SMS / VoIPShared household terminal — no personal device neededWi-Fi only
Notes / reminders / photosOn-device non-volatile storage, voice in/outNo
Biometric dataNever transmitted — stored on device onlyNever
TRACK 2 OF 3 — MULTI-MODAL COHERENCE DETECTION AND ADAPTIVE INTERVENTION · Patent Filed 2026-04-12
System and Method for Multi-Modal Behavioral Coherence Detection and Adaptive Intervention. Detects recursive instability patterns across sensor modalities, computes a unified γ_eff, classifies system state relative to a critical threshold, and selects adaptive interventions. The first patent claim that detects looping behavior across modalities as a unified coherence signal.
Processing Pipeline
Sensors Channel Scores Loop Detection Fusion γ_eff C(t) Decision Response
EquationRole
y_eff = Σ(wᵢ · channelᵢ)Weighted coherence fusion across modalities
y_eff_adj = y_eff · (1 − k · loop_score)Instability adjustment — recursive loops penalize coherence
γ_eff = (1 − y_eff_adj) · (2 · γ_c)Disorder parameter mapping
C(t) = C₀ · exp(−α · γ_eff · t)Coherence decay model
W = γ_c − γ_effCoherence window — distance from critical threshold
V(γ) = C₀ · γ · exp(−α · γ)Coherence potential — maximum at γ = 1/α
StateConditionIntervention
FROZENγ_eff < 0.5 · γ_cGentle check — system underactivated
EDGE0.5 · γ_c ≤ γ_eff < γ_cEngage — optimal coherence zone
COLLAPSEDγ_eff ≥ γ_cInterrupt or silence — threshold breached
TRACK 3 OF 3 — TBD
Patent not yet written.
Physical hardware Offline-first Glass-as-speaker γ_eff biometric monitoring Recursive instability detection 3 provisional patents filed
Patents: Mirror Buddy device (2026-04-10) · Multi-Modal Coherence Detection (2026-04-12) · Behavioral Coherence · Related: Paper 115 · Paper 152 · Paper 153
Private Beta — Request Access
In Dev
♻️
wAIste Not
AI has no eyes. This gives it eyes.
Pre-print verification layer that prevents AI from blindly wasting physical resources. Checks layout, color calibration, and paper fit before the print button is pressed. Already watermarking every AIIT-THRESI paper.
Print verification Resource efficiency Active on this site
Related: Paper 118
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