Pith Number
pith:VG2PAFQ5
pith:2024:VG2PAFQ53SGAIZ63IA5OAXAANR
not attested
not anchored
not stored
refs pending
Can artificial intelligence predict clinical trial outcomes?
arxiv:2411.17595 v2 · 2024-11-26 · cs.LG · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VG2PAFQ53SGAIZ63IA5OAXAANR}
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 | 2026-07-05T10:33:06.986664Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a9b4f0161ddc8c0467db403ae05c006c433e85483d411a1cb95cc447989a2dfc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VG2PAFQ53SGAIZ63IA5OAXAANR \
| 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: a9b4f0161ddc8c0467db403ae05c006c433e85483d411a1cb95cc447989a2dfc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3224e0388f1979ca6597e208394a9a0175e5aedad14498e4d76b09ec2df00989",
"cross_cats_sorted": [
"stat.AP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-11-26T17:05:27Z",
"title_canon_sha256": "bee07a24d00a2002d675782b940bb003cae30ca4834775afed178fc1eb4388db"
},
"schema_version": "1.0",
"source": {
"id": "2411.17595",
"kind": "arxiv",
"version": 2
}
}