public_sonata_ai_landing

Evidence Index

Document: 10 of 10
Status: Public Dossier (L3/L4)


This index centralizes the public evidence references for claims made throughout this dossier. Each entry maps a claim to its evidence source, type, and known limitations.

Evidence artifacts

ID Artifact Type Source Documents
E01 GPU/CPU MatMul benchmark (256x256x256) Raw metric test_runner execution 01, 05
E02 Conv2D benchmark (4x8x16x16) Raw metric test_runner execution 01, 05
E03 TinyStories BPE sustained training (~6,800 tok/s, 30 steps) Raw metric Live run 2026-06-18 03
E04 INT8 validation metrics (MSE, cosine similarity) Test summary benchmark_phase20.md 06
E05 INT8 memory compression ratio (2.1x) Raw metric benchmark_phase20.md 06
E06 Zero CPU fallback across sustained training run Test pass/fail Live run 2026-06-18 03
E07 Benchmark correction (7,676 → 5,659 tok/s, Phase 20) Narrative + metrics benchmark_phase20.md 04
E08 INT8 stress benchmark (10,832 tok/s at Batch=8, Phase 20) Raw metric benchmark_phase20.md 06
E09 Checkpoint round-trip pass Test pass/fail Capability Map 2026-06-02 01
E10 Training resume with matching loss Test pass/fail Capability Map 2026-06-02 01, 03
E11 GPU-only checkpoint pass Test pass/fail Capability Map 2026-06-02 01
E12 Phase 20 throughput baseline (~5,700 tok/s) Raw metric benchmark_phase20.md 03, 04
E13 Contradiction detection in reflection mode Test pass/fail Capability Map 2026-06-02 07
E14 Axiom-guided penalty test pass Test pass/fail Capability Map 2026-06-02 07
E15 Guarded evolution test pass Test pass/fail Capability Map 2026-06-02 07
E16 LTP message serialization tests pass Test pass/fail Capability Map 2026-06-02 08
E17 CRC mismatch detection pass Test pass/fail Capability Map 2026-06-02 08
E18 LTP binary chunk benchmark Raw metric Capability Map 2026-06-02 08
E19 CUDA initialization and device query pass Test pass/fail Capability Map 2026-06-02 05
E20 GPU memory allocation and transfer tests pass Test pass/fail Capability Map 2026-06-02 05
E21 Self-play fitness change (5.98 → 6.10) Raw metric Capability Map 2026-06-02 01
E22 Evolution competition with latency measurement Raw metric Capability Map 2026-06-02 01
E23 TinyStories INT8 peak micro-benchmark (17,803 tok/s at Batch=320) Raw metric Live run 2026-06-18 03, 06
E24 TinyStories sustained training throughput (6,802 tok/s, 30 steps) Raw metric Live run 2026-06-18 03

Document-to-claim matrix

Claim Primary documents Supporting evidence Limitation references
Sonata is a working low-level research platform 01 E01, E02, E09, E10, E11, E21, E22 09
GPU execution is validated 05 E01, E02, E19, E20 09 — mobile GPU, 8 GB VRAM
Training path exists and runs 03 E03, E06, E09, E10, E12, E23, E24 09 — laptop hardware, limited scale
Benchmark correction demonstrates stability-first discipline 04 E07 09 — single hardware context
INT8 quantization is validated with high fidelity 06 E04, E05, E08, E23 09 — performance benefit is model-scale dependent
Mamba-style sequence modeling is integrated 02 E03 (training context) 02 — stability constraint is implementation-specific
Logos symbolic-control bridge exists 07 E13, E14, E15 09 — partially fragile, not turnkey
LTP transport foundations exist 08 E16, E17, E18 09 — no security layer

Evidence quality notes