Open research reports, empirical findings, and software notes. These are repository-hosted materials; no peer-reviewed journal or conference acceptance is claimed.
Reasoning & reinforcement learning
The repository documents pretrained GRPO training and save/reload runs, independent GSM8K evaluation, model qualification, and a frozen execution package.
Boundary: The primary hypothesis is unestablished. Pilot runs and software fixtures do not establish improved reasoning or reduced reward overfitting. The final GPU study remains externally blocked.
Agent memory & attention bounds
The repository documents formal bounds, 11/11 passing unit tests, -97.5% token compression in CCB-001, 8/8 CIC governance scenarios, and empirical Qwen2.5-0.5B eager forward-pass attention retention.
Boundary: Softmax inundation bounds assume uniform projection energy bounds; live transformer measurements were performed on 0.5B parameters; SWE-bench verified evaluations on frontier neural models remain in progress.
Quantum & classical computation
Released CPU studies preserve configurations, per-seed results, checkpoints, and checksum manifests. Small-system comparisons include failed optimizations and harmful mitigation outcomes.
Boundary: No quantum advantage, GPU speedup, or hardware performance advantage is demonstrated. CUDA and IBM QPU runs were not executed for v0.1.0; the measurements are small-system CPU simulations.
Retrieval & geometric learning
Held-out HotpotQA and MuSiQue evaluations did not establish an improvement over semantic retrieval. Validation selected cosine-only retrieval as the primary V2 path.
Boundary: Evaluation uses internal held-out subsets of public development data, not official hidden-test scores. The result concerns the tested formulations, not all topology methods. Local prototypes have no established privacy guarantee or independent security audit.
Computational neuroscience
The public README describes the architecture, models, interfaces, and simulation commands. These document intended and implemented scope, rather than a measured scientific result.
Boundary: The reviewed README does not establish biological validation, human-brain-scale performance, or verified MPI/CUDA scaling. No such results are claimed here.
Benchmarks are informative only when accompanied by their training budgets, random seed sets, exact parameter configurations, and variance bounds. Our linked reports document these parameters in full.
Reproduce an experiment, challenge an assumption, or join the discussion with fellow researchers on Discord and GitHub.