Pith Number
pith:KQG4LTM4
pith:2017:KQG4LTM446B5J2TYQPX3MB4ZTW
not attested
not anchored
not stored
refs pending
Approximate Bayes learning of stochastic differential equations
arxiv:1702.05390 v1 · 2017-02-17 · physics.data-an · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KQG4LTM446B5J2TYQPX3MB4ZTW}
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 | 2026-05-18T00:08:11.447537Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
540dc5cd9ce783d4ea7883efb607999d8176b40ebdd1cafe8f1307f3f40c66ff
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KQG4LTM446B5J2TYQPX3MB4ZTW \
| 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: 540dc5cd9ce783d4ea7883efb607999d8176b40ebdd1cafe8f1307f3f40c66ff
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e559af76c65316709a46bd6c27ff1f28c86233463939f3067de325df70b8d0d4",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.data-an",
"submitted_at": "2017-02-17T15:35:08Z",
"title_canon_sha256": "4baf8e42fb3dc8ec62cabc0f68921580e788743decaa4220465544a7c0a9cd7e"
},
"schema_version": "1.0",
"source": {
"id": "1702.05390",
"kind": "arxiv",
"version": 1
}
}