Pith Number
pith:3KVIL74M
pith:2020:3KVIL74MFECOTRGGC2ZDNLXYPX
not attested
not anchored
not stored
refs pending
How Important is the Train-Validation Split in Meta-Learning?
arxiv:2010.05843 v2 · 2020-10-12 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3KVIL74MFECOTRGGC2ZDNLXYPX}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T02:14:11.672810Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
daaa85ff8c2904e9c4c616b236aef87dfd5ff9fdd2ea0267a12930e079a88e98
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3KVIL74MFECOTRGGC2ZDNLXYPX \
| 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: daaa85ff8c2904e9c4c616b236aef87dfd5ff9fdd2ea0267a12930e079a88e98
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cd9512ca8efaa16b9dac532dad529fd4f50a1a506ce9f09131e6487ca5287bc9",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-10-12T16:48:42Z",
"title_canon_sha256": "965faddc4946998baa3e20cfb3e5a6bfb1e4e43be5be6bbbfdf334ebf8252b56"
},
"schema_version": "1.0",
"source": {
"id": "2010.05843",
"kind": "arxiv",
"version": 2
}
}