Pith Number
pith:QZQ7Y2QU
pith:2022:QZQ7Y2QUDJ5XYITA6EMMSYQWFT
not attested
not anchored
not stored
refs pending
Neural Network Optimization for Reinforcement Learning Tasks Using Sparse Computations
arxiv:2201.02571 v2 · 2022-01-07 · cs.LG · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QZQ7Y2QUDJ5XYITA6EMMSYQWFT}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
· sign in to
claim
4
Citations
5
Replications
✓
Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T04:12:38.030378Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8661fc6a141a7b7c2260f118c962162ceea90c76f9547fee40051b0c35eecbb2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QZQ7Y2QUDJ5XYITA6EMMSYQWFT \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 8661fc6a141a7b7c2260f118c962162ceea90c76f9547fee40051b0c35eecbb2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fd606bf15598559aa5495706719ba74b2d0914fc58db8e1ca9d9642584f23c44",
"cross_cats_sorted": [
"cs.NE"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-01-07T18:09:23Z",
"title_canon_sha256": "3935b9dead4b94f6c3cb8d3421aa99be7f6c120f83ae04baa84ea78c0cb6a976"
},
"schema_version": "1.0",
"source": {
"id": "2201.02571",
"kind": "arxiv",
"version": 2
}
}