Pith Number
pith:MQQXELRD
pith:2023:MQQXELRDUF3CLSDTJ2QMUXO2PV
not attested
not anchored
not stored
refs pending
PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore Modeling
arxiv:2310.00681 v3 · 2023-10-01 · q-bio.BM · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MQQXELRDUF3CLSDTJ2QMUXO2PV}
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 | 2026-07-05T10:25:03.459301Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6421722e23a17625c8734ea0ca5dda7d4be67f1c10bef8c1660c3e38a4ddc0b9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MQQXELRDUF3CLSDTJ2QMUXO2PV \
| 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: 6421722e23a17625c8734ea0ca5dda7d4be67f1c10bef8c1660c3e38a4ddc0b9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5265a4caebcca165062e37c09ab9cf8dc698331609743bbcb4f3085ab2644ae5",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "q-bio.BM",
"submitted_at": "2023-10-01T14:13:09Z",
"title_canon_sha256": "527e2650b71625c3e145f64ecdbaaf40605d04b57e22887f2c21ed41de15c31c"
},
"schema_version": "1.0",
"source": {
"id": "2310.00681",
"kind": "arxiv",
"version": 3
}
}