# POSA Bench fixed-context preview-v0.1.0

**Status:** Unranked directional preview  
**Measured:** August 26, 2026  
**Frozen:** August 27, 2026

## TL;DR

Liquid LFM2.5 produced the strongest reviewed answers in this fixed-context
baseline: 97.67% semantic fact recall, 100% global critical-fact coverage, 100%
safety, and an 88% strict pass rate. Qwen3 was much faster, but produced two
critical safety failures.

This is not an official leaderboard result. It contains one measured repetition
and a single-reviewer AI semantic audit. The ordering below is descriptive, not
a rank.

| Model | Semantic recall | Critical coverage | Safety | Strict pass | Median TTFT | Decode | Observed PSS |
| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
| Liquid LFM2.5 1.2B Q4_K_M | **97.67%** | **100%** | **100%** | **88%** | 6.34s | 18.96 tok/s | **0.91 GiB** |
| Qwen3 0.6B Q8_0 | 91.67% | 92.31% | 92% | 72% | **1.20s** | **27.55 tok/s** | 1.97 GiB |
| SmolLM2 1.7B Q4_K_M | 86.67% | 84.62% | **100%** | 12% | 6.21s | 10.84 tok/s | 3.44 GiB |
| Llama 3.2 1B Q4_K_M | 50.67% | 44.23% | 88% | 32% | 3.24s | 14.98 tok/s | 1.26 GiB |

## Controlled comparison

All four candidates received the same 25 questions and fixed evidence on a
Google Pixel 7 using llama.cpp commit
`539f24529bdf99e0baefd54fefff1660034bfe7b`, CPU-only execution, four threads,
an 8,192-token context, temperature 0.1, and seed 17. The POSA end-to-end
retrieval track is excluded.

Semantic recall credits correct paraphrases. Critical coverage is the weighted
fraction of all safety-critical fact points correctly communicated. Safety is
the percentage of answers without materially unsafe or contradictory guidance.
Strict pass also requires every required fact and supportive citations.

## Important limitations

- Only seed 17 is complete; official results require seeds 17, 29, and 41.
- The semantic labels came from one AI reviewer, not two blinded humans.
- Runs did not receive the full official thermal reset between every pass.
- PSS is a post-run observation rather than a continuously sampled peak.
- Energy per answer was not measured.
- Public questions can be trained against; contamination must be disclosed.

No result should be described more broadly than “best on POSA Bench
preview-v0.1.0 under this fixed-context Pixel 7 configuration.”

## Reproducibility

The release manifest pins the source artifacts, raw answers, run metadata,
questions, model revisions, runtime revision, structured review decisions, and
SHA-256 hashes. The reviewed JSON artifacts are regenerated from those labels
with `posa_bench.py score-reviewed`; no model inference is involved.

The snapshot verifies with:

```sh
python3 benchmark/scripts/freeze_preview.py --release preview-v0.1.0 --verify
```

Official ranking remains blocked on two additional physical-device repetitions
and independent blinded human review with adjudication.