Pith Number
pith:5UNH7V6Y
pith:2024:5UNH7V6YH4FLFO2EAXSXJ4NKNV
not attested
not anchored
not stored
refs pending
STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning
arxiv:2406.04035 v3 · 2024-06-06 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5UNH7V6YH4FLFO2EAXSXJ4NKNV}
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 | 2026-07-05T08:33:40.473207Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ed1a7fd7d83f0ab2bb4405e574f1aa6d6fd20a06ef7bca93779a1eec6109ce11
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5UNH7V6YH4FLFO2EAXSXJ4NKNV \
| 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: ed1a7fd7d83f0ab2bb4405e574f1aa6d6fd20a06ef7bca93779a1eec6109ce11
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b3fbefc8954d5e8001c3d289868ff1f3811067886f8c5a04d6191821b6e9e9f3",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-06-06T13:03:51Z",
"title_canon_sha256": "efac77a8ba49ed1e99233ea2f5d80a66c81344118828d14b7e065826ae1f8bd5"
},
"schema_version": "1.0",
"source": {
"id": "2406.04035",
"kind": "arxiv",
"version": 3
}
}