Pith Number
pith:QCX5Q33N
pith:2017:QCX5Q33N3M7DWLQH76LEZKWO6V
not attested
not anchored
not stored
refs pending
Probabilistic learning of nonlinear dynamical systems using sequential Monte Carlo
arxiv:1703.02419 v2 · 2017-03-07 · stat.CO · cs.LG · cs.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QCX5Q33N3M7DWLQH76LEZKWO6V}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-18T00:21:14.553437Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
80afd86f6ddb3e3b2e07ff964caacef57f427ccea582c53529b0e7746c1193a7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QCX5Q33N3M7DWLQH76LEZKWO6V \
| 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: 80afd86f6ddb3e3b2e07ff964caacef57f427ccea582c53529b0e7746c1193a7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ff8a0f501e8d6eb9d7ff2776045776c6de61a90fddc1df8f9788489b3027fb0d",
"cross_cats_sorted": [
"cs.LG",
"cs.SY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.CO",
"submitted_at": "2017-03-07T15:01:51Z",
"title_canon_sha256": "6a6db6b14a014c2dfff238ae6c85be45543044e38c9ea5e86d87d2cac44f1e4c"
},
"schema_version": "1.0",
"source": {
"id": "1703.02419",
"kind": "arxiv",
"version": 2
}
}