Pith Number
pith:5GWMAVY7
pith:2025:5GWMAVY7UEVH6XUBAZ2ERQ4XLM
not attested
not anchored
not stored
refs pending
How Effective Can Dropout Be in Multiple Instance Learning ?
arxiv:2504.14783 v2 · 2025-04-21 · cs.CV · cs.AI · eess.IV · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5GWMAVY7UEVH6XUBAZ2ERQ4XLM}
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.
Receipt and verification
| First computed | 2026-07-05T11:06:13.233380Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e9acc0571fa12a7f5e81067448c3975b1fc4853890978b3293559f2d8a0e61fc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5GWMAVY7UEVH6XUBAZ2ERQ4XLM \
| 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: e9acc0571fa12a7f5e81067448c3975b1fc4853890978b3293559f2d8a0e61fc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0e1071aab469a1f51e90f1332466b5a6d740541d1d7aa6e00734b5f3ee98aea6",
"cross_cats_sorted": [
"cs.AI",
"eess.IV",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-04-21T00:46:31Z",
"title_canon_sha256": "52bdb4e2de70ac48a3972318c095e680301444d657341c8cd610a00fecdcfaa4"
},
"schema_version": "1.0",
"source": {
"id": "2504.14783",
"kind": "arxiv",
"version": 2
}
}