Pith Number
pith:6PFMHZTL
pith:2024:6PFMHZTL77AQDIFARO565HLFHJ
not attested
not anchored
not stored
refs pending
Physics-Informed Neural Networks can accurately model cardiac electrophysiology in 3D geometries and fibrillatory conditions
arxiv:2409.12712 v1 · 2024-09-18 · q-bio.QM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6PFMHZTL77AQDIFARO565HLFHJ}
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 | 2026-07-05T09:09:11.066946Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f3cac3e66bffc101a0a08bbbee9d653a4e0f1df8852a35af38c160113ab56923
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6PFMHZTL77AQDIFARO565HLFHJ \
| 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: f3cac3e66bffc101a0a08bbbee9d653a4e0f1df8852a35af38c160113ab56923
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1b3a696bcc21c8f0a2539af9abffde51dab6ad02c01360e4bcc8fdac0ab77aa2",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "q-bio.QM",
"submitted_at": "2024-09-18T11:22:58Z",
"title_canon_sha256": "82c57e7b74f3cc56ae2e5bd108be37247edd7bf21db0c2cfc555dd72f3a1dbc8"
},
"schema_version": "1.0",
"source": {
"id": "2409.12712",
"kind": "arxiv",
"version": 1
}
}