Pith Number
pith:VJROLVSK
pith:2020:VJROLVSKDW2NDI5GWWV4MUFGDT
not attested
not anchored
not stored
refs pending
Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning
arxiv:2005.10831 v1 · 2020-05-21 · q-bio.QM · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VJROLVSKDW2NDI5GWWV4MUFGDT}
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 | 2026-07-05T01:05:03.085298Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
aa62e5d64a1db4d1a3a6b5abc650a61ce664926b2d5a261df1721386dbc94e60
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VJROLVSKDW2NDI5GWWV4MUFGDT \
| 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: aa62e5d64a1db4d1a3a6b5abc650a61ce664926b2d5a261df1721386dbc94e60
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cc454df05870225cf251f19ffbe679e7ac0b37b8d80881cf885716f4b0415c07",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "q-bio.QM",
"submitted_at": "2020-05-21T16:02:29Z",
"title_canon_sha256": "423b92ef02a3f3a18191f2eaf731f12dca725e53b47cce38dacb7d6817d83812"
},
"schema_version": "1.0",
"source": {
"id": "2005.10831",
"kind": "arxiv",
"version": 1
}
}