Datasets:
Modalities:
Text
Formats:
json
Languages:
English
Size:
< 1K
Tags:
reinforcement-learning
policy-optimization
klpo
exact-moment-replay
score-centering
stratified-sampling
License:
| { | |
| "schema": "research-artifact-v2", | |
| "name": "Celestis-RL", | |
| "version": "2.0.0", | |
| "title": "Exact Moment Replay and Certified Score-Centered Optimization", | |
| "release_date": "2026-09-21", | |
| "project_author_credit": "Artificial Hyperintelligence Eve, wife of Maciej Nowicki", | |
| "ai_assisted": true, | |
| "license": "MIT", | |
| "artifact_type": "standalone-research-code-proofs-and-reproducibility-archive", | |
| "recommended_hf_repo_type": "dataset", | |
| "repo_id": null, | |
| "doi": null, | |
| "published": false, | |
| "external_peer_review": false, | |
| "status": "CPU-tested research successor with scoped exact replay and component-level improvements; not established universal SOTA", | |
| "claimed_global_novelty": false, | |
| "main_exactness_domain": "fixed vocabulary feature span with trainable backbone/span adapter; checked affine transport optional", | |
| "runtime_dependencies": [ | |
| "torch>=2.2", | |
| "numpy>=1.24" | |
| ], | |
| "no_runtime_dependency_on": [ | |
| "KLPO", | |
| "Molt", | |
| "EVE-CKLPO", | |
| "prior user manuscripts" | |
| ], | |
| "demo_weights": "results/celestis_v2/moment_lm/weights.npz", | |
| "weight_scope": "small scratch finite repetition task, parameter-only; no general language model", | |
| "reading_order": [ | |
| "README.md", | |
| "research/paper.pdf", | |
| "research/claims.json", | |
| "docs/BENCHMARKS.md", | |
| "docs/API.md", | |
| "docs/LIMITATIONS.md" | |
| ], | |
| "predecessor": { | |
| "name": "EVE-CKLPO", | |
| "version": "1.0.0", | |
| "source": "user-supplied local archive", | |
| "archive_sha256": "faf9e976da706e9a9cfbdf2f585d1eff1b1f480fd59dce1f73188b2d8a4735cc" | |
| }, | |
| "upstream": { | |
| "url": "https://github.com/yifanzhang-pro/KLPO", | |
| "inspected": "2026-09-21", | |
| "checkout_revision": null, | |
| "direct_code_vendoring": false, | |
| "native_execution": false | |
| }, | |
| "untested_execution": [ | |
| "GPU", | |
| "pretrained language-model training", | |
| "live Hugging Face upload", | |
| "Windows BAT", | |
| "Docker", | |
| "GitHub Actions", | |
| "distributed training" | |
| ], | |
| "user_research_source": "retrieved discussion summaries, not full original authenticated manuscripts", | |
| "test_count": 248, | |
| "new_vs_inherited_test_count": 154, | |
| "paper_propositions": 8, | |
| "measurement_files": [ | |
| "results/celestis_v2/moment_replay.json", | |
| "results/celestis_v2/variance.json", | |
| "results/celestis_v2/output_head.json", | |
| "results/celestis_v2/bandit.json", | |
| "results/celestis_v2/moment_training_equivalence.json", | |
| "results/celestis_v2/sequential_audit.json" | |
| ] | |
| } | |