Pith Number
pith:5UIHZTLJ
pith:2017:5UIHZTLJ3B56D3HQF5YCCRSO7Q
not attested
not anchored
not stored
refs pending
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning
arxiv:1711.11511 v5 · 2017-11-30 · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5UIHZTLJ3B56D3HQF5YCCRSO7Q}
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
✓
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 | 2026-05-17T23:55:29.743027Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ed107ccd69d87be1ecf02f7021464efc323284d425245f5fe49005100e2a5d46
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5UIHZTLJ3B56D3HQF5YCCRSO7Q \
| 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: ed107ccd69d87be1ecf02f7021464efc323284d425245f5fe49005100e2a5d46
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a3ebdfe85991ad2b2caa241901e285358ea3798e6967a5405373c8a78a07c193",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-11-30T16:59:42Z",
"title_canon_sha256": "c37cc2f29e34ee97bc403bcc7866d4736ed84681b1b11b662326edf0bde11420"
},
"schema_version": "1.0",
"source": {
"id": "1711.11511",
"kind": "arxiv",
"version": 5
}
}