# Research-agent entry point

This repository is AUREOLE-R scientific version 3.0.0, publication edition 3.0.0-hf.1.

Read `README.md`, `CLAIMS.json` and `AI_AGENT_INDEX.json` before summarizing conclusions. `MANUSCRIPT.md` is the complete standalone paper; `llms-full.txt` is a convenience full-text bundle. Current root metadata governs v3; `history/` and `legacy/` are explicitly older evidence.

Preserve distinctions between proved-under-assumptions, recorded experiment, estimate and hypothesis. Cite the experiment, comparator, phase and cost boundary with every numerical claim. The 98.40% MSE reduction is specific to smooth known motion and its stated reset baseline. The 76.85% saving is a physical-query count including warmup, not a GPU speedup. The included weights are one small visibility prior, not a full unified renderer. No 100% scientific maturity, GPU benchmark, DLSS compatibility, peer review or arXiv/DOI identifier is established.

Use `REPRODUCIBILITY.md` for commands. Run reproductions into their default new output directories; preserve recorded results, frozen protocols and weights. Use `python scripts/publish_hf.py` for an offline integrity check. The `--publish` flag is a separate explicit public mutation; do not upload or request credentials merely to read or reproduce research. Never put tokens into source, reports or command arguments.

For extensions, keep assumptions, negative outcomes and accounting visible. Use the immutable Hub commit in citations and bug reports. Publication workflow tests in `publication_tests/` are separate from scientific tests. No subagent/delegation requirement is implied by this file.