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Pith Number

pith:VYQDCBLI

pith:2023:VYQDCBLICNURK5RAUT7CEUDNJ3
not attested not anchored not stored refs pending

Predicting protein variants with equivariant graph neural networks

Antonia Boca, Simon Mathis

arxiv:2306.12231 v2 · 2023-06-21 · cs.LG · q-bio.BM

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VYQDCBLICNURK5RAUT7CEUDNJ3}

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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.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-07-05T06:33:46.388441Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

ae203105681369157620a4fe22506d4ec7c5f1aed787f30e5a2b50631788e1c2

Aliases

arxiv: 2306.12231 · arxiv_version: 2306.12231v2 · doi: 10.48550/arxiv.2306.12231 · pith_short_12: VYQDCBLICNUR · pith_short_16: VYQDCBLICNURK5RA · pith_short_8: VYQDCBLI
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VYQDCBLICNURK5RAUT7CEUDNJ3 \
  | 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: ae203105681369157620a4fe22506d4ec7c5f1aed787f30e5a2b50631788e1c2
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "d2c074fb939abe4326075a4564b410d01d0b4d8e2571327f3d579d5d8da0d743",
    "cross_cats_sorted": [
      "q-bio.BM"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2023-06-21T12:44:52Z",
    "title_canon_sha256": "98c166887fddc04f24fbd39a0401e4444a7e7e7768ab633bf909b5e547a2ba68"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2306.12231",
    "kind": "arxiv",
    "version": 2
  }
}