Pith Number
pith:PFIU7KJC
pith:2025:PFIU7KJCWJTMGDCRUOK5SQWJYA
not attested
not anchored
not stored
refs pending
Accurate and generalizable protein-ligand binding affinity prediction with geometric deep learning
arxiv:2504.16261 v1 · 2025-04-22 · cs.CE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PFIU7KJCWJTMGDCRUOK5SQWJYA}
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 | 2026-07-05T10:52:43.898480Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
79514fa922b266c30c51a395d942c9c01ed6ffd919d87fe09bda1838dd539991
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PFIU7KJCWJTMGDCRUOK5SQWJYA \
| 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: 79514fa922b266c30c51a395d942c9c01ed6ffd919d87fe09bda1838dd539991
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "33f1d04853c1802b98e6c401253b29184552d57642c8c8bb5aa4759b6025df2e",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CE",
"submitted_at": "2025-04-22T20:38:47Z",
"title_canon_sha256": "b42c76398dcc9b71f9f2192d9bdaef0f3493a6a081cd2de19ebc7893b706993b"
},
"schema_version": "1.0",
"source": {
"id": "2504.16261",
"kind": "arxiv",
"version": 1
}
}