Mode
DEMO · LIVE DEMO: animated brick-by-brick session · LIVE: your own program
Flow
Data
Compute
Chain
Target
DRAG BRICKS HERE — or click a brick in the palette to append.
Each brick emits NWO-ASM and a plain-English explanation below.
NWO-ASM Output
; empty program — place bricks to generate NWO-ASM
What each brick does
Placed bricks are explained here, one row per brick, as you lay them.
Mode
DEMO · LIVE DEMO: canned session · LIVE: real worker/adapter calls
Φ chainstate-code>
Mode
DEMO · LIVE DEMO: sample transcript · LIVE: real worker + adapter
Mode
DEMO · LIVE DEMO: canned pipeline · LIVE: real worker call

SIM Pipeline Simulation

Watch a cognitive transaction move through the full Ornith × CHAINSTATE pipeline. The consensus receipt stage performs a REAL call to the CHAINSTATE worker; the Ornith generation stage is simulated unless an adapter URL is configured (terminal: adapter <url>).

Idle. Press Run Pipeline.

01 Ornith-1.0 × CHAINSTATE — how they work together

Ornith-1.0 is a self-improving RL coding agent (9B / 35B / 397B MoE) that generates both solutions and the scaffolds that train them. CHAINSTATE is a symbolic-weight blockchain where transactions ARE cognitive queries. The adapter makes every Ornith code generation a symbolic transaction: embedded into the 65,536-d Universal Semiotic Embedding, submitted to reputation-weighted swarm consensus, compiled to NWO-ASM Process-Matrix IR for substrate dispatch.

02 Features — click any box for full detail

CHAINSTATE CODE WHITEPAPER

by Ciprian Pater · University of Agder · NWO Robotics

A peer-reviewable specification of the Ornith-1.0 × CHAINSTATE integration: how a self-improving RL coding agent (9B/35B/397B MoE) is coupled to a symbolic-weight blockchain via a 65,536-dimensional Universal Semiotic Embedding and reputation-weighted Bayesian log-pooling.

Introduces cognitive transactions as first-class blockchain primitives, formalizes the log-pool consensus kernel p_cons(x) ∝ ∏ p_i(x)^w_i, and specifies NWO-ASM Process-Matrix IR for GPU/QPU/NPU/edge substrate dispatch. Base mainnet 8453.

⇢ ResearchGate ⇢ Source
Podcast: CHAINSTATE CODE whitepaper walkthrough · by Ciprian Pater

02 System Summary

65,536

Dimensions

Universal Semiotic Embedding — six subspaces summing to exactly 2¹⁶.

3–7

Log-pool rounds

Reputation-weighted convergence at cosine ≥ 0.95.

k≥10

Swarm nodes

Ornith instances (mixed sizes) contributing symbolic states per query.

8453

Chain ID

Base mainnet · $STATE settlement · 35/35/30 MetaState split.

4

Substrates

NWO-ASM Process-Matrix IR dispatch: GPU · QPU · NPU · edge.

18

ASM opcodes

Bricks the visual builder emits: FLOW · DATA · COMPUTE · CHAIN · TARGET.

03 Related Work

CHAINSTATE CODE Whitepaper NEW

A Formal Framework for Agentic Coding on a Symbolic-Weight Blockchain — 18-page preprint, math + code + philosophical section on NWO-ASM composed with NWO-GENETIC.

ResearchGate 408393584 ⇢

CHAINSTATE Whitepaper v1.0

A Symbolic-Weight Blockchain for Cognitive Transactions — 19 pages.

ResearchGate 407444375 ⇢

Foundational Paper

Distributed Cognitive Work in Edge-Resident Language-Model Networks.

ResearchGate 406896310 ⇢

Casimir-Sonoluminescence Coupling

Peer-reviewed in Physics Essays. Co-authors Javaherian, Tariq.

Physics Essays ⇢

Ornith-1.0

Self-improving RL coding agent — deepreinforce-ai.

GitHub ⇢