Research archives: the Gemini-era sandbox
This folder is a time capsule. In an early stage of the project (the "r3/r4 era"), the owner built a development sandbox with an AI assistant: text corpora, small Python tools that generate and index them, a first "prime router" prototype, and an early Rust checkout of a WebAssembly router. It is kept because it shows how the ideas started. It is not a live project, it does not run the current model, and it contains no result that the current model relies on.
flowchart TD
S["gemini-dev sandbox, r3/r4 era"] --> C["Text corpora: about 63% of the bytes"]
S --> T["Python tools: corpus generation, GloVe loader, indexing, server, CLI"]
S --> P["prime-router prototype: Python, with a web page"]
S --> R["Early Rust wasm-router checkout, vendored UOR standards"]
S --> X["scratch notes and extra_reading PDFs"]
R --> N["Superseded by crates/ in the current repository"]
What the sandbox contains. The Rust part has been replaced by the current workspace.
What is in the project
All of it sits under gemini-dev/. The folder is 99 MB in 128 files (research-archive/2026-10-19/files.sha256 in the store; sizes from the audit inventory docs/labs/repo-renormalization-2026-10-19/audit/folders.json). About 65 MB of that is data (JSON, NPZ, token files and text corpora) and about 37 MB is documents.
| Part | Size | Notes |
|---|---|---|
wikitext2_proxy/ | about 62 MB | A stand-in for the WikiText-2 language-modelling corpus |
Corpora (complex_corpus.txt, universal_corpus.txt, wiki_corpus.txt, world-model corpora) | about 12 MB, 11 MB, 3 MB and smaller | Text used by the prototype tools |
prime-router/ | about 3.4 MB | A Python prototype: "Evolving Hypersphere Brain World Model" with a web page and a CLI |
extra_reading/ | about 2.9 MB | Research PDFs with text extracts |
rust/ | about 0.6 MB | An early uor-r4-wasm-router checkout with vendored UOR standards; its engine file is uor_r4_router_engine.rs |
| Python tools | 55 .py files overall | Corpus generation, a GloVe loader, large-corpus indexing, a server and a CLI |
scratch/, zeta_data/ | small | Working notes and zeta-zero data |
The original README says the GloVe and manifold caches (about 490 MB) and a nested copy of the AI-Research workspace were left out of this snapshot.
One thing to know before reading the code. The prototype describes a "zero-weight" geometric text generator, and it also offers a mode that connects to a locally running transformer through Ollama for comparison. The current charter forbids neural comparators and controls, so nothing in this folder is run or revived; it is preserved as history only.
Where it stands
| Statement | Kind | Evidence |
|---|---|---|
| The sandbox is 128 files, about 99 MB | measurement | files.sha256 (count); sizes from the audit inventory docs/labs/repo-renormalization-2026-10-19/audit/folders.json |
| The prototype's "zero-weight" generation worked as described | hypothesis, not tested for this page | gemini-dev/prime-router/README.md is the only source |
| Any part of it is on the current model path | no | The Rust checkout is superseded by the current crates; the folder is marked archive |
| Overlap with other projects | 10 file hashes are shared with ai-research and 10 with prime-analysis | files.sha256 comparison, 19 October 2026 |
Where the originals are
The full project is preserved in the private Hugging Face dataset caseyallard/uor-r4-store under research-archive/2026-10-19/tars/archives.tar (103,435,776 bytes, 128 files, SHA-256 2553007578044fa4f5f7000714a633b0693d7714f80cb999e0671e7ee71e78b2). Every file inside is listed in files.sha256, and the tar is listed in tars.sha256. The tar is named archives; the folder here is called research-archives.
Source files brought into this folder
Only scripts and notes come in, as an index of what existed:
README.mdgemini-dev/*.pygemini-dev/prime-router/**gemini-dev/scratch/**/*.md- an index (a listing, not the files) of
gemini-dev/rust/**/*.rs, since the current crates replace it
Stay in the store: wikitext2_proxy/, the corpora, all NPZ and token files, the extra_reading PDFs and zeta_data/.
Go deeper
- AI-Research, the workspace that grew alongside this sandbox.
- Prime Analysis, the research collection that took these ideas further.
- Mechanism index for what the current model actually uses.
- Glossary.