Pith Number
pith:3JXT2YPU
pith:2023:3JXT2YPU2SDGAQRS4K7MMCRO6E
not attested
not anchored
not stored
refs pending
Geometric Deep Learning for Structure-Based Drug Design: A Survey
arxiv:2306.11768 v6 · 2023-06-20 · q-bio.QM · cs.CE · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3JXT2YPU2SDGAQRS4K7MMCRO6E}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:36:07.379543Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
da6f3d61f4d486604232e2bec60a2ef135362ca445cc5ad9c5ccd6a1c571a0c3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3JXT2YPU2SDGAQRS4K7MMCRO6E \
| 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: da6f3d61f4d486604232e2bec60a2ef135362ca445cc5ad9c5ccd6a1c571a0c3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "530ad77bfe2ca55f805f87507235f948b92387544749a893a3fa4489689e8cb7",
"cross_cats_sorted": [
"cs.CE",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "q-bio.QM",
"submitted_at": "2023-06-20T14:21:58Z",
"title_canon_sha256": "d5db1c4fc24377e5136f4e546e4956f86391ed9966399476a972a1434f70216c"
},
"schema_version": "1.0",
"source": {
"id": "2306.11768",
"kind": "arxiv",
"version": 6
}
}