Pith Number
pith:RS4C5KBR
pith:2023:RS4C5KBRTYNOJCJEL6GYUB54J6
not attested
not anchored
not stored
refs pending
MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning
arxiv:2301.13287 v4 · 2023-01-30 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RS4C5KBRTYNOJCJEL6GYUB54J6}
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 | 2026-07-05T06:21:30.370578Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8cb82ea8319e1ae489245f8d8a07bc4fa8ecccc37583045918aeaaf608593fea
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RS4C5KBRTYNOJCJEL6GYUB54J6 \
| 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: 8cb82ea8319e1ae489245f8d8a07bc4fa8ecccc37583045918aeaaf608593fea
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "86d7e79b5f1a1694f73fea7f26a1e85def347f5c7b008a86e91f4e5e08e99969",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-01-30T20:59:30Z",
"title_canon_sha256": "1f350e166df10d5bc8bd8fd45a6265d264408d2edf121cdcb50df8c374bf1e40"
},
"schema_version": "1.0",
"source": {
"id": "2301.13287",
"kind": "arxiv",
"version": 4
}
}