Pith Number
pith:QC5PLRAH
pith:2022:QC5PLRAHSXC6JAHFI62YGE62BD
not attested
not anchored
not stored
refs pending
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
arxiv:2201.09736 v3 · 2022-01-21 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QC5PLRAHSXC6JAHFI62YGE62BD}
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
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claim
4
Citations
5
Replications
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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 | 2026-07-05T08:23:51.205924Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
80baf5c40795c5e480e547b58313da08cfb03500ea73f2cb3030fcb6556ecede
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QC5PLRAHSXC6JAHFI62YGE62BD \
| 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: 80baf5c40795c5e480e547b58313da08cfb03500ea73f2cb3030fcb6556ecede
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6c1ea4d97a9c6f4f8a58007d99ec974afe70fb5f4f51e0c43f274f3b81875fa1",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-01-21T00:13:54Z",
"title_canon_sha256": "1cf999675a48d280d925318ecd44ba28101c03508d2fd5b8ece1285f01848b5e"
},
"schema_version": "1.0",
"source": {
"id": "2201.09736",
"kind": "arxiv",
"version": 3
}
}