Pith Number
pith:IQ5OJG7K
pith:2023:IQ5OJG7K5YAXH4TE467U5E72AL
not attested
not anchored
not stored
refs pending
Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks
arxiv:2304.08299 v1 · 2023-04-13 · q-bio.QM · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IQ5OJG7K5YAXH4TE467U5E72AL}
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 | 2026-07-05T06:01:41.759824Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
443ae49beaee0173f264e7bf4e93fa02d20dc6b3d4475cbe447fd18b4f8ed9d0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IQ5OJG7K5YAXH4TE467U5E72AL \
| 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: 443ae49beaee0173f264e7bf4e93fa02d20dc6b3d4475cbe447fd18b4f8ed9d0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dfe2bb7bcbe35fc8b6115e661f024158717a31e863600ebeb4242d2255a76079",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "q-bio.QM",
"submitted_at": "2023-04-13T09:51:49Z",
"title_canon_sha256": "d63fd139af5909f8633d2f6387172af0efba5fa16c8e742bb08995b8aca94fee"
},
"schema_version": "1.0",
"source": {
"id": "2304.08299",
"kind": "arxiv",
"version": 1
}
}