Resource

Primary materials for technical evaluation and procurement diligence.

★ DEVICE ★ AI application Featured · primary materials + white paper Paper v10 (33 pp) / Patent claims 1-44 / 3 external benchmark data / Implementation (Rust 272 KB WASM)

SlimeTree-RLM — Measurement procedure and primary materials (semantic-driven record system)

SimpleQA / TruthfulQA / HaluEval-QA 3 external benchmarks × 3 seeds = 6,870 trials, incorrect-rate −20.4 ± 0.3 pt architectural constant. Procedure, rubrics, LLM settings, and seeds all public; access information for paper v10, patent claims 1-44, and the implementation (Rust 272 KB WASM) included.

Open the primary materials → Product page →

★ LANGUAGE ★ DEVICE cross-listed Featured · bench procedure + white paper Same-host bench vs PostgreSQL 16 / SHA-256 audit chain / SlimeCOBOL Phase D drop-in

SlimeTree-VSAM — Bench procedure and primary materials (mainframe-DB native)

Same-host bench procedure for VSAM (KSDS / ESDS / RRDS) compatible native storage vs PostgreSQL 16, measurement conditions and dataset scale, SHA-256 audit-chain alignment with regulatory requirements, and drop-in integration verification with SlimeCOBOL Phase D emit.

Open the primary materials → Product page →

Patents

SlimeCodec (JP App. 2026-046609), SlimeNENC (2026-046620), PSDP (2026-046620 / 2026-046625), SlimeTree-RLM (claims 1-44) — references will be linked here once published.

Papers

SlimeTree-RLM paper v10 (33 pp, 3 external benchmark cross-validation complete; jxiv Japanese v2 included). SlimeCodec (TCSVT submission), SlimeNENC (TSE submission planned), PSDP (paper JP v5d). PDFs posted upon acceptance.

White papers

SlimeTree-RLM primary materials (measurement procedure, LLM settings, rubrics — all public). Briefs on each of the four guarantees (domestic supply / formal guarantees / quantum resistance / 20-year support) in preparation for procurement and audit reviewers.

PoC and demos

Browser-only WASM builds (echo canceller, numerical verifier, SlimeNENC converter). Reproducible without specialized hardware.

Tools & demos

IP camera bandwidth & storage calculator covering the major codecs (H.264 / H.265 / AV1 etc.) and SlimeCodec. Live streaming demos (WebRTC / HLS switching, 4K decode, etc.).

Materials will be published progressively.

Technical deep-dives

In-depth, honestly-measured write-ups — what each tool can and cannot do, backed by real-corpus numbers (not synthetic demos). Listings are always public; some full articles require a free registration.

  • SlimePython — a gentle intro (turn Python into “the same-result Rust”) Public · Intro

    A jargon-free entry point. Turn your Python into Rust whose output matches to the bit (proven by SHA-256). No clean rewrite needed; dynamic parts run as-is in a safe Python sandbox. From here, go deeper into the Hybrid Bit-Exact Isolate model and the PoC 40/40 results.

  • SlimePython PoC 0–11 deep-dive — real source, measurements, full reproduction Public · Technical

    For specialists. 40/40 bit-exact; Full tier at/above python3 (the early slowdown was the shared-.so PIC → fixed by a static build); Light tier 19/20 via RustPython→WASM; auto-routing with 0 mis-routes. Real source, conversion code, measurements and a downloadable reproduction bundle (transparency is the moat).

  • AS/400 (IBM i) modernization — what SlimeCL / SlimeRPG can & can’t do OPEN

    CL / RPG / COBOL → portable bash & single-binary Rust. Real-corpus results: 1,711 RPG (lex 99.4%), 46 CL (Rust & bash compile 100%), 0 hangs — now verified 4/4 bit-exact on a live IBM i — plus an honest account of the compile-rate gaps.

  • SlimeTree-RLM — Measurement procedure and primary materials Open

    3 external benchmarks (SimpleQA / TruthfulQA / HaluEval-QA) × 3 seeds = 6,870 trials, measured as a -20.4 ± 0.3 pt architectural constant. 4-LLM cross-validation shows Tier-A 8B-class LLMs converge at the 81% ceiling — the performance equalizer. Procedure, rubrics, LLM settings, and seeds all public; access information for paper v10 and patent claims 1-44 included.

  • SlimeNENC pipeline internals & 5-target emit→compile data REGISTRATION

    Per-construct emit→compile pass-rate tables across Java / Rust / Go / Kotlin / C#, and the Slot IR design. Register to access →