Pith Number
pith:HQ6DIQYZ
pith:2018:HQ6DIQYZ3C6VW5POVW3SA2CKPH
not attested
not anchored
not stored
refs pending
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
arxiv:1801.05558 v3 · 2018-01-17 · stat.ML · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HQ6DIQYZ3C6VW5POVW3SA2CKPH}
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 | 2026-05-18T00:13:15.429280Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3c3c344319d8bd5b75eeadb720684a79cbe26d0971167b6c5bc98cb3e8ffe9d1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HQ6DIQYZ3C6VW5POVW3SA2CKPH \
| 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: 3c3c344319d8bd5b75eeadb720684a79cbe26d0971167b6c5bc98cb3e8ffe9d1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dad0dad8ad79e746e9f2b1547cb13dd2b5dee91a8c0a2ece48948fa9135ff849",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2018-01-17T05:34:08Z",
"title_canon_sha256": "a5588b9138b55855f099d561d0670c1181a2e3b30d4a22067226918b4cd06b07"
},
"schema_version": "1.0",
"source": {
"id": "1801.05558",
"kind": "arxiv",
"version": 3
}
}