Pith Number
pith:M4PPJJYA
pith:2020:M4PPJJYAFOORSC2DUD2SMM7OAC
not attested
not anchored
not stored
refs pending
Adaptive quadrature schemes for Bayesian inference via active learning
arxiv:2006.00535 v3 · 2020-05-31 · stat.CO · cs.LG · eess.SP · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M4PPJJYAFOORSC2DUD2SMM7OAC}
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 | 2026-07-05T02:07:47.038693Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
671ef4a7002b9d190b43a0f52633ee009752c30fd7ae6a9403bd3d023d6a219a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M4PPJJYAFOORSC2DUD2SMM7OAC \
| 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: 671ef4a7002b9d190b43a0f52633ee009752c30fd7ae6a9403bd3d023d6a219a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "91dc1d4d7809a49b36b126fc45eb52405e41650beb3378d88857d73430a7a59d",
"cross_cats_sorted": [
"cs.LG",
"eess.SP",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.CO",
"submitted_at": "2020-05-31T15:02:32Z",
"title_canon_sha256": "57d89f8adea92e01f19a871c7276dd56e7cb33c9edb862aaff78c54bc0164995"
},
"schema_version": "1.0",
"source": {
"id": "2006.00535",
"kind": "arxiv",
"version": 3
}
}