Pith Number
pith:PSFDBNNB
pith:2024:PSFDBNNBN4JZKQYJLQ6MY6OU6F
not attested
not anchored
not stored
refs pending
High-dimensional Bayesian Model for Disease-Specific Gene Detection in Spatial Transcriptomics
arxiv:2409.02397 v1 · 2024-09-04 · stat.ME · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PSFDBNNBN4JZKQYJLQ6MY6OU6F}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:02:46.739674Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7c8a30b5a16f139543095c3ccc79d4f1413b576ef40e19eef6472ee55b188fd1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PSFDBNNBN4JZKQYJLQ6MY6OU6F \
| 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: 7c8a30b5a16f139543095c3ccc79d4f1413b576ef40e19eef6472ee55b188fd1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d84856b11ceb24d724645b8a160a853f07c89281c82b43ebb364f6c213a50cc9",
"cross_cats_sorted": [
"stat.AP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2024-09-04T02:47:15Z",
"title_canon_sha256": "3db6a6e6b87c364495757c405005aa8db99fe3460ddc1bf9fe4cc02d0e359072"
},
"schema_version": "1.0",
"source": {
"id": "2409.02397",
"kind": "arxiv",
"version": 1
}
}