Pith Number
pith:CLZT4DHQ
pith:2017:CLZT4DHQF7B3LFM3ERGQQP6JQ4
not attested
not anchored
not stored
refs pending
Modified Hamiltonian Monte Carlo for Bayesian inference
arxiv:1706.04032 v2 · 2017-06-13 · stat.CO · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CLZT4DHQF7B3LFM3ERGQQP6JQ4}
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 | 2026-05-17T23:39:37.316280Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
12f33e0cf02fc3b5959b244d083fc98722d8d5c1cb44370e0fc7c499debad767
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CLZT4DHQF7B3LFM3ERGQQP6JQ4 \
| 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: 12f33e0cf02fc3b5959b244d083fc98722d8d5c1cb44370e0fc7c499debad767
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ae11859dfcf7cc658704e6f02918876c7deb33e693aff93b0f782d8d60a41501",
"cross_cats_sorted": [
"stat.ME"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.CO",
"submitted_at": "2017-06-13T12:58:41Z",
"title_canon_sha256": "f717986c82cc8277b310c710d305993270638a7abdb08d28daddd8bea00c61c7"
},
"schema_version": "1.0",
"source": {
"id": "1706.04032",
"kind": "arxiv",
"version": 2
}
}