Pith Number
pith:5WN2PBZM
pith:2021:5WN2PBZMFXDAW6BOQXMW2TK3EY
not attested
not anchored
not stored
refs pending
A Loss Curvature Perspective on Training Instability in Deep Learning
arxiv:2110.04369 v1 · 2021-10-08 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5WN2PBZMFXDAW6BOQXMW2TK3EY}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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4
Citations
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T03:21:15.905596Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ed9ba7872c2dc60b782e85d96d4d5b2603c19d2c8cd7fbd2c9b61b5b120d726d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5WN2PBZMFXDAW6BOQXMW2TK3EY \
| 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: ed9ba7872c2dc60b782e85d96d4d5b2603c19d2c8cd7fbd2c9b61b5b120d726d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2009e1b6e86a919b5228c4c9e87fadb570d487abe3e5b1f6d1548c3e0a015d5f",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-10-08T20:25:48Z",
"title_canon_sha256": "b182735a7925f3c80202f74faad83c154b6d0d3f83a9228f2c3224a3e6ae6461"
},
"schema_version": "1.0",
"source": {
"id": "2110.04369",
"kind": "arxiv",
"version": 1
}
}