Pith Number
pith:S5KBRRYC
pith:2013:S5KBRRYCMUFT5X3WJOXHJ64KD2
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Transdimensional Approximate Bayesian Computation for Inference on Invasive Species Models with Latent Variables of Unknown Dimension
arxiv:1310.2888 v3 · 2013-10-10 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{S5KBRRYCMUFT5X3WJOXHJ64KD2}
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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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 | 2026-05-18T02:30:15.853682Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
975418c702650b3edf764bae74fb8a1e99477e1272b9f09c745a6d15694e85c8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/S5KBRRYCMUFT5X3WJOXHJ64KD2 \
| 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: 975418c702650b3edf764bae74fb8a1e99477e1272b9f09c745a6d15694e85c8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "70fd1f5593a4132b809ce272dc87072d6cdb7f5b08c2eaced0be65be21d10a8c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2013-10-10T17:09:38Z",
"title_canon_sha256": "c54e9a4f4ad65e5fd86fa7d3f7e8659346bf133cd171f656ea96e10507b3c679"
},
"schema_version": "1.0",
"source": {
"id": "1310.2888",
"kind": "arxiv",
"version": 3
}
}