Pith Number
pith:H3HMGN5N
pith:2024:H3HMGN5NL56N52W7IFOLCTGFZH
not attested
not anchored
not stored
refs pending
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning
arxiv:2406.00332 v1 · 2024-06-01 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H3HMGN5NL56N52W7IFOLCTGFZH}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T08:26:00.279397Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3ecec337ad5f7cdeeadf415cb14cc5c9fb1591d670ae1f1b6ab1b3169d255ff1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H3HMGN5NL56N52W7IFOLCTGFZH \
| 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: 3ecec337ad5f7cdeeadf415cb14cc5c9fb1591d670ae1f1b6ab1b3169d255ff1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fea9b8e33bf6457c7419bd49ee0ae13fd81803ea69dabe24ac6b71631f0a678f",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-06-01T07:17:38Z",
"title_canon_sha256": "dea5a87df494723c0d4463aef14b859c31e334e3e7a3190cafaaf3fa98eff614"
},
"schema_version": "1.0",
"source": {
"id": "2406.00332",
"kind": "arxiv",
"version": 1
}
}