atomictrust-tpf
Free uncertainty quantification for diffusion language models
pip install atomictrust-tpf
The Discovery
TPF (Tokens-Per-Forward) reveals generation confidence in diffusion LLMs at zero cost.
7 × 8 = ?
13.58
High confidence — memorized
23 × 17 = ?
2.68
Low confidence — computed
r = -0.88
Correlation between TPF and entropy (p < 0.001) across 28 benchmarks
The Inverse Signal: Hallucination Detection
Low TPF + uncertain query
→
Expected (honest uncertainty)
High TPF + uncertain query
→
Potential fabrication
This bidirectional signal is structurally unavailable in autoregressive models.
Quick Start
from atomictrust_tpf import TPFRLMHybrid router = TPFRLMHybrid() result = router.generate("What is 23 × 17?") print(f"Answer: {result.text}") print(f"TPF: {result.tpf_metrics.tpf:.2f}") print(f"Route: {result.route.name}")
FlashAPCE: Attention Verification
Verification inside FlashAttention's tiled computation — without materializing the O(n²) matrix.
Velado's Contradiction Theorem
D(ε) × I(ε) ≥ κ
Attacks cannot simultaneously achieve high impact AND low detectability.
This is a mathematical bound, not a heuristic.
This is a mathematical bound, not a heuristic.
from atomictrust_tpf import FlashAPCEAttention, VerificationMode attn = FlashAPCEAttention(mode=VerificationMode.BALANCED) output, signals = attn.forward(q, k, v) result = attn.verify(signals) print(f"Valid: {result.is_valid}") print(f"D × I = {result.di_product:.3f}")
Patents
Open source under Apache 2.0 for research and evaluation. Commercial licensing available.
US 63/951,960
TPF-Based Confidence Routing
Filed December 31, 2025
US 63/948,782
FlashAPCE Attention Verification
Filed December 26, 2025
Citation
@article{velado2025tpf,
title = {Parallel Decoding as Intrinsic Uncertainty:
Tokens-Per-Forward Reveals Generation Confidence
in Diffusion Language Models},
author = {Velado, Rafael},
year = {2025},
doi = {10.5281/zenodo.18111467}
}
@article{velado2025contradiction,
title = {Velado's Contradiction Theorem: Mathematical
Guarantees for Attention Verification},
author = {Velado, Rafael},
year = {2025},
doi = {10.5281/zenodo.18079657}
}