Pith Number
pith:MOBZNTOF
pith:2016:MOBZNTOFKZ75AC32CG7NDP3Q7R
not attested
not anchored
not stored
refs pending
Robust Probabilistic Modeling with Bayesian Data Reweighting
arxiv:1606.03860 v3 · 2016-06-13 · stat.ML · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MOBZNTOFKZ75AC32CG7NDP3Q7R}
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 | 2026-05-18T00:12:57.154444Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
638396cdc5567fd00b7a11bed1bf70fc798517c681c457f622bbc4715eb8e1ac
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MOBZNTOFKZ75AC32CG7NDP3Q7R \
| 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: 638396cdc5567fd00b7a11bed1bf70fc798517c681c457f622bbc4715eb8e1ac
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7cdfef28b0fdf63d2bdbdccb73a2705e46dc1b03915a69271a4611b8fb43c061",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2016-06-13T08:56:35Z",
"title_canon_sha256": "f3b51b1fb38cf2bdab171c8b7dc0d37d2d72683a0b3201568c271291e42ec06c"
},
"schema_version": "1.0",
"source": {
"id": "1606.03860",
"kind": "arxiv",
"version": 3
}
}