Pith Number
pith:NUJJIQMR
pith:2021:NUJJIQMRMOELXD7STDE73SLRU5
not attested
not anchored
not stored
refs pending
Implementation of a practical Markov chain Monte Carlo sampling algorithm in PyBioNetFit
arxiv:2109.14445 v1 · 2021-09-29 · q-bio.QM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NUJJIQMRMOELXD7STDE73SLRU5}
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 | 2026-07-05T03:18:35.333618Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6d129441916388bb8ff298c9fdc971a75a70a3b16ee28ba5a45bd2f369806e18
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NUJJIQMRMOELXD7STDE73SLRU5 \
| 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: 6d129441916388bb8ff298c9fdc971a75a70a3b16ee28ba5a45bd2f369806e18
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c905864d84c3950eabdae9c67ad97131b1d886981f10af7507ac4ac189aeab54",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "q-bio.QM",
"submitted_at": "2021-09-29T14:27:10Z",
"title_canon_sha256": "d8d3d98155a1a1bf7d10b16e1e4b1683fa44a677ab8e5b52250f6d271d09436b"
},
"schema_version": "1.0",
"source": {
"id": "2109.14445",
"kind": "arxiv",
"version": 1
}
}