Pith Number
pith:5EGA7VVK
pith:2017:5EGA7VVK4C5XWIDVXO2ZEP4JH5
not attested
not anchored
not stored
refs pending
Malaria Likelihood Prediction By Effectively Surveying Households Using Deep Reinforcement Learning
arxiv:1711.09223 v1 · 2017-11-25 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5EGA7VVK4C5XWIDVXO2ZEP4JH5}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-18T00:29:40.159005Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e90c0fd6aae0bb7b2075bbb5923f893f6181226cf63b95c132fd1a2d737ac768
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5EGA7VVK4C5XWIDVXO2ZEP4JH5 \
| 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: e90c0fd6aae0bb7b2075bbb5923f893f6181226cf63b95c132fd1a2d737ac768
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "46bd8612a9d83923fb4264ca870a69024f81c7970d79aa73a1f9da170be68930",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-11-25T09:33:05Z",
"title_canon_sha256": "744abde223bd55628dbed0a147cdbe9fe4ccc289799c083dbd6be53a2b1e932a"
},
"schema_version": "1.0",
"source": {
"id": "1711.09223",
"kind": "arxiv",
"version": 1
}
}