Pith Number
pith:XVF43ZZ6
pith:2013:XVF43ZZ63HJEINFR2HGGMPDY6I
not attested
not anchored
not stored
refs pending
Adaptive MC^3 and Gibbs algorithms for Bayesian Model Averaging in Linear Regression Models
arxiv:1306.6028 v1 · 2013-06-25 · stat.CO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XVF43ZZ63HJEINFR2HGGMPDY6I}
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
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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 | 2026-05-18T03:19:57.958859Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bd4bcde73ed9d24434b1d1cc663c78f210b3ae5bc052ee4323498f8ff65b8be2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XVF43ZZ63HJEINFR2HGGMPDY6I \
| 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: bd4bcde73ed9d24434b1d1cc663c78f210b3ae5bc052ee4323498f8ff65b8be2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "264e9525e972b5585791473fedff225f51d8be789dfd916698b4ece71b432c71",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.CO",
"submitted_at": "2013-06-25T16:49:11Z",
"title_canon_sha256": "bb982a07d71c287d7e62f21b0433e76ab103e8753881aa1119ff52c3fb605cb4"
},
"schema_version": "1.0",
"source": {
"id": "1306.6028",
"kind": "arxiv",
"version": 1
}
}