Pith. sign in
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

Bingxin Zhou, Kai Yi, Liang Hong, Outongyi Lv, Pan Tan, Xinye Xiong, Yu Guang Wang

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 open · sign in to claim
4 Citations open
5 Replications open
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

arxiv: 2304.08299 · arxiv_version: 2304.08299v1 · doi: 10.48550/arxiv.2304.08299 · pith_short_12: IQ5OJG7K5YAX · pith_short_16: IQ5OJG7K5YAXH4TE · pith_short_8: IQ5OJG7K
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
  }
}