Pith Number
pith:FDF5VX4Q
pith:2025:FDF5VX4QJ4S7B73WJDGYGDOE7H
not attested
not anchored
not stored
refs pending
Lipschitz stability for Bayesian inference in porous medium tissue growth models
arxiv:2506.04769 v1 · 2025-06-05 · math.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FDF5VX4QJ4S7B73WJDGYGDOE7H}
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 | 2026-07-05T11:16:19.883546Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
28cbdadf904f25f0ff7648cd830dc4f9c4571d17407cd0befa22efc1dfe00f41
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FDF5VX4QJ4S7B73WJDGYGDOE7H \
| 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: 28cbdadf904f25f0ff7648cd830dc4f9c4571d17407cd0befa22efc1dfe00f41
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4f119cd711a02d0a751db7888a0083ebef8ae7d486add319df4f7b9890879a1c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "math.AP",
"submitted_at": "2025-06-05T08:54:45Z",
"title_canon_sha256": "d39541b11ed2b3e2f4f631e0b78a549b5738e6febdeaea59fca67583171f9534"
},
"schema_version": "1.0",
"source": {
"id": "2506.04769",
"kind": "arxiv",
"version": 1
}
}