Evidence Gateway

Benchmark Evidence

Public benchmark results for testing whether mechanism-guided protocols improve hidden human-state inference.

These benchmarks test specific pieces of the broader Human OS mapping and next-state prediction direction.

Headline Results

Two public benchmark lines currently carry the strongest evidence weight.

The strongest current evidence sits in next-state bias prediction and mechanism-based human-state inference.

Phase III-A

53 wins / 1 loss

Next-Δ Bias Prediction Benchmark

Phase IV-A

47 wins / 0 losses

Mechanism-Based Human-State Inference Benchmark

Protective Function

1.35 → 1.97 / 2

Identification improvement

Method

No fine-tune

No extra training data. Protocol-based.

These results are bounded benchmark evidence across multiple platform tests. They are not presented as universal validation of the full theory.

What the Benchmarks Test

The benchmark line tests whether Symbolic Mechanics / Human OS guided protocols improve backend interpretation of messy human input compared with baseline model response patterns.

Benchmark capability	Human OS direction
Next-Δ bias	next-state movement
Protective function	internal pressure / defense reading
Internal drift	state transition tracking
Surface/core separation	hidden state map construction
Response-route calibration	AI / LLM output alignment

Benchmark Line

Phase IInterpretive power.

Phase IIBackend state mapping.

Phase III-ANext-Δ bias prediction — early next-state movement testing. 53 wins / 1 loss

Phase IV-AMechanism-based human-state inference — mapping pressure, function, drift, and response route. 47 wins / 0 losses

Claim Boundary

Boundary: benchmark evidence only. Not clinical validation, universal proof, or a claim of full Human OS completion.

Prediction-related benchmark claims concern likely state dynamics under bounded test conditions, not certainty about future behavior.

Want to Test the Result?

Use the Challenge Protocol.

Open Challenge Protocol

Contact: eidosan013135@hotmail.com