Pith Number
pith:6Z7JOYP5
pith:2023:6Z7JOYP53NM24O5PFQQ6HIENDZ
not attested
not anchored
not stored
refs pending
Utilizing Reinforcement Learning for de novo Drug Design
arxiv:2303.17615 v2 · 2023-03-30 · q-bio.BM · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6Z7JOYP53NM24O5PFQQ6HIENDZ}
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 | 2026-07-05T10:15:13.255236Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f67e9761fddb59ae3baf2c21e3a08d1e7b7636ae3582f35af8ac970fd629e545
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6Z7JOYP53NM24O5PFQQ6HIENDZ \
| 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: f67e9761fddb59ae3baf2c21e3a08d1e7b7636ae3582f35af8ac970fd629e545
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "49aa1a8e8881761d658b68fb8a8562dc3b4aa9ac8f0b5816da5d5103575bc9fc",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "q-bio.BM",
"submitted_at": "2023-03-30T07:40:50Z",
"title_canon_sha256": "4a608889643780c30500a81b5b64ea027019ffc9bee298e536652a45006de9ba"
},
"schema_version": "1.0",
"source": {
"id": "2303.17615",
"kind": "arxiv",
"version": 2
}
}