Datasets:
Formats:
csv
Languages:
English
Size:
< 1K
Tags:
continual-learning
catastrophic-forgetting
functional-memory
orthogonal-projection
statistical-certification
pytorch
Download research_notes/source_lock.json from PureOne/Eidrion: direct link, hf CLI and curl.
- Browser
- Download file 1.95 kB
-
https://huggingface.co/datasets/PureOne/Eidrion/resolve/main/research_notes/source_lock.json
- Command line
-
hf download hf://datasets/PureOne/Eidrion/research_notes/source_lock.json
-
curl -L -o source_lock.json https://huggingface.co/datasets/PureOne/Eidrion/resolve/main/research_notes/source_lock.json
1.95 kB
| { | |
| "status": "Immutable final source/configuration lock; no final run precedes this file", | |
| "created_utc": "2026-10-08T20:18:11.252851+00:00", | |
| "sha256": { | |
| "source/final_protocol.json": "6ae4f56508b37c4dc1afdc3e76a0c014d1c32ec8af00f39312526a927dd9891d", | |
| "source/final_common.py": "347f9e457524b96cdbb12d774ebefc6e094baa817ae7f3ce527560cb97a9ac99", | |
| "source/final_models.py": "07b597b7a574ef2359e6bb0f341ff120d1c1e5d677e2b5b819c68463a179d961", | |
| "source/final_worker.py": "94c5e7ad495c93b8e8c1b59e5a8f068fdf5a62a4841669c7bb6be34de9e115b3", | |
| "source/final_latency.py": "43959b74dbe005f24157f84f6d3c1550474f27d0ab8beb81fc51fb7c67a64171", | |
| "source/aggregate_final.py": "2aa13c773303d9b59a267f25ccf886dbff0183e7fcbfaa937a2be2922abcf51d", | |
| "source/run_final.py": "b8ac038a4467cfc59009c05654388b4391c0fc3b121053cd9f2ee1328b37f245", | |
| "source/torch_baselines.py": "ea4be13e522d9d5df7d0e86ab1d543461bb0197bc66c2d6df11b9b496f7911d7", | |
| "source/image_data.py": "8b8be3e376e9bf597cab12f4d822f8dd5abc15a489af21851d7c58299b45e5b3", | |
| "source/src/avenyra_omega/__init__.py": "67c6669339d0d49a807157b5f6bc53e30ed25464ea30f6a69012909578bf71e5", | |
| "source/src/avenyra_omega/calibration.py": "9e60bee9bc082cdca73906cbc586e1cb726d3a0d880190f47aeaa66c8c166c96", | |
| "source/src/avenyra_omega/memory.py": "26b8a66bfb4608b6744fca6e237c78ef2ae0cfd2fdd337613ece8bce5648e82a", | |
| "source/src/avenyra_omega/models.py": "b73841b69b9aa55b3c2a891a5b253c63d9332eb495a9a96c01ab840c5878404d", | |
| "source/src/avenyra_omega/regions.py": "b4e07c71a43c0b9963a0d29e64ed3ed248d1afdd640d5779a4eb8d7fe8590c1f", | |
| "source/src/avenyra_omega/renewal.py": "735ffd821fd71179154c3820c65f70af9293ddf85b32644a7d400158995fb540" | |
| }, | |
| "versions": { | |
| "torch": "2.14.1+cpu", | |
| "numpy": "2.3.5", | |
| "scipy": "1.17.0", | |
| "scikit-learn": "1.8.0", | |
| "threadpoolctl": "3.6.0" | |
| }, | |
| "confidence_scope": "0.05 per seeded run/policy; no joint across-run claim" | |
| } | |