Selective-Buffer Streaming Safety for AI Coding Agents
cs.CR8 pagesJ. Morgan · 2026
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Evidence, not adjectives.
Every claim is backed by working code, measured benchmarks, and where appropriate cryptographically auditable reduction-to-practice. Five technical reports below — one preparing arXiv submission. Source on github.com/thornveil-ai.
Technical reports
Internal write-ups documenting the algorithms behind Thornveil's systems. Not yet peer-reviewed; HawkStack topology paper is preparing arXiv submission. Read at your own pace.
Zeroth-Order Preference Optimization on 100B+ Quantized MoE Models via Live Inference API
cs.LG7 pagesJ. Morgan · 2026
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Compressed KV Cache Attention as a Plugin Backend
cs.DC6 pagesJ. Morgan · 2026
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Speculative Decoding Fails on Sparse MoE: A Negative Result and Practical Multi-Model Cascade
cs.SE6 pagesJ. Morgan · 2026
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RigRun: Complete Local AI Infrastructure on a Single GPU
cs.AI5 pagesJ. Morgan · 2026
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What's actually defensible.
Each Thornveil system carries one or more subsystems where the engineering work materially differentiates it from open-source alternatives. Named subsystem, the differentiator, and the empirical evidence behind each.
Mycelium
Substitute-on-failure MoE expert dispatch
Day-27 RTP with HMAC-chained audit log, 2026-05-08
Auspex
Scope-as-code engagement compilation + 13-check Signet gate
Autonomous AD takeover with auditable replay, 2026-05-16
RigRun
Compile-time classification-gated routing with cross-domain guard
Type-system enforced · 44 NIST 800-53 controls implemented
RigRun
8-signal confidence pipeline with adversarial self-audit
~4,220 LOC across 8 signals · cross-app parity in Go/Dart/TS
Signet
HMAC-chained tamper-evident audit ledger with RFC 3161 anchoring
2,400 LOC across chain.py + verifier.py + compactor.py · 7-state break taxonomy
HawkStack
Compute-aware neural topology recipe (3-parameter)
15 verified zoo checkpoints · R²=0.9895 power-law fit on NUDT-SIRST
Pyros
24-layer adaptive control loop (PID + Holt + UCB1 + ε-greedy)
Race-clean CI across Linux/macOS/Windows · PAVA calibration validated vs sklearn
Navigator
14-step agent-production pipeline with Opus calibration + 5-probe adversarial hardening
9 domain-expert agents generated by the pipeline (internal use only)
9
engineering systems
5
technical reports written
2
Apache-2.0 OSS releases