Pith Number
pith:RQICY4NV
pith:2025:RQICY4NVXGVLOVTZGUZWR4M3OO
not attested
not anchored
not stored
refs pending
Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning
arxiv:2501.04879 v1 · 2025-01-08 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RQICY4NVXGVLOVTZGUZWR4M3OO}
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 | 2026-07-05T09:58:47.905399Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8c102c71b5b9aab75679353368f19b73a275797bd87458990a281020a8ff1f89
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RQICY4NVXGVLOVTZGUZWR4M3OO \
| 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: 8c102c71b5b9aab75679353368f19b73a275797bd87458990a281020a8ff1f89
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dc5e82b53156ae9a049e76202ac1a6f585cdbef29a0b17d73f85fbff7419e52b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-01-08T23:22:08Z",
"title_canon_sha256": "8496c541685ced74d66ac5d2c36f11ed7d1a5f972f55402c603d714fe865de26"
},
"schema_version": "1.0",
"source": {
"id": "2501.04879",
"kind": "arxiv",
"version": 1
}
}