Trinary-19683
An open-source deterministic symbolic cognition layer built on a 3^9 ternary state space and five-domain semantic bridging. It provides LLMs and agents with a recomputable, falsifiable reasoning mechanism aimed at addressing the hallucination problem of large models.
Timeline (last 90 days)
Trinary-19683 is an open-source project that uses 3^9 = 19,683 ternary states to build a symbolic reasoning layer, with the goal of solving the hallucination problem of large models.
Trinary-19683 has been open-sourced on GitHub at the repository q1z2q3-debug/trinary-19683 under the Apache-2.0 license.
The delivery forms of Trinary-19683 include an offline model, a reasoning workbench, a service console (providing 15+ APIs), and a Python package.
The complete 19,683-hexagram state space of Trinary-19683 uses D/R/T ternary encoding, and the hexagram IDs and line values are aligned through a three-generation correction engine, achieving zero missing entries.
On top of the state space, the system defines five-dimensional structural signatures and 301 rules for computing a deterministic adaptive rank.
The author claims that the system's deterministic adaptive rank computation process is 100% recomputable and achieves 100% under leave-one-out validation.
The system supports dynamic potential-flow reasoning, three-state axiomatic semantics, and temporal evolution paths, and provides suggest and trace interfaces.
Cognition Board v2 introduces falsification dynamics, supporting tiered rebuttal, reversible migration, and self-contradiction detection.
The metacognition board L4 provides M(X) meta-evaluation and M(M(X)) recursive introspection, and the entire process is falsifiable.
The multi-agent protocol L5 localizes conflicts to specific transition edges and supports rebuttal collisions and recomputable joint chains.
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All Facts (12)
Trinary-19683 is an open-source project that uses 3^9 = 19,683 ternary states to build a symbolic reasoning layer, with the goal of solving the hallucination problem of large models.
50%UnverifiedTrinary-19683 has been open-sourced on GitHub at the repository q1z2q3-debug/trinary-19683 under the Apache-2.0 license.
50%UnverifiedThe delivery forms of Trinary-19683 include an offline model, a reasoning workbench, a service console (providing 15+ APIs), and a Python package.
50%UnverifiedThe complete 19,683-hexagram state space of Trinary-19683 uses D/R/T ternary encoding, and the hexagram IDs and line values are aligned through a three-generation correction engine, achieving zero missing entries.
50%UnverifiedOn top of the state space, the system defines five-dimensional structural signatures and 301 rules for computing a deterministic adaptive rank.
50%UnverifiedThe author claims that the system's deterministic adaptive rank computation process is 100% recomputable and achieves 100% under leave-one-out validation.
50%UnverifiedThe system supports dynamic potential-flow reasoning, three-state axiomatic semantics, and temporal evolution paths, and provides suggest and trace interfaces.
50%UnverifiedCognition Board v2 introduces falsification dynamics, supporting tiered rebuttal, reversible migration, and self-contradiction detection.
50%UnverifiedThe metacognition board L4 provides M(X) meta-evaluation and M(M(X)) recursive introspection, and the entire process is falsifiable.
50%UnverifiedThe multi-agent protocol L5 localizes conflicts to specific transition edges and supports rebuttal collisions and recomputable joint chains.
50%UnverifiedA 100% pass rate in leave-one-out validation only shows that the system is self-consistent within its own state space, and does not directly equate to generalization ability over external semantics.
50%UnverifiedAll of the above capabilities come from the project author's self-description, and independent third-party verification is still insufficient; metrics such as "100% in leave-one-out validation" lack public evaluation details, and the actual generalization ability remains to be tested by the community.
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