Pith Number
pith:UZBBM6AN
pith:2020:UZBBM6ANGWGQ4IBSCKX6JZDS5G
not attested
not anchored
not stored
refs pending
Non-invasive Inference of Thrombus Material Properties with Physics-informed Neural Networks
arxiv:2005.11380 v1 · 2020-05-22 · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UZBBM6ANGWGQ4IBSCKX6JZDS5G}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T02:08:29.867291Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a64216780d358d0e203212afe4e472e9aceb77650bea4cbd1a8af52767b739c5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UZBBM6ANGWGQ4IBSCKX6JZDS5G \
| 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: a64216780d358d0e203212afe4e472e9aceb77650bea4cbd1a8af52767b739c5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2bf97d290ad004889e676b6c20ba8d7f4e95a87da68e9e54e4d6025424b511b5",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.comp-ph",
"submitted_at": "2020-05-22T20:29:27Z",
"title_canon_sha256": "24f6f5094ffbf51abf2c28ee5d7cc8ca3d7fae436164a7c7dc0f5b75df698d47"
},
"schema_version": "1.0",
"source": {
"id": "2005.11380",
"kind": "arxiv",
"version": 1
}
}