Pith Number
pith:XENUDN3E
pith:2021:XENUDN3EDV2TG7OGNQCOHVVCGA
not attested
not anchored
not stored
refs pending
On the existence of global minima and convergence analyses for gradient descent methods in the training of deep neural networks
arxiv:2112.09684 v2 · 2021-12-17 · math.OC · cs.LG · cs.NA · math.NA · math.ST · stat.TH
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XENUDN3EDV2TG7OGNQCOHVVCGA}
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 | 2026-07-05T04:40:00.888897Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b91b41b7641d75337dc66c04e3d6a23035e3bf5bfede5317cf3aebbc37988881
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XENUDN3EDV2TG7OGNQCOHVVCGA \
| 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: b91b41b7641d75337dc66c04e3d6a23035e3bf5bfede5317cf3aebbc37988881
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d48f60e8aaca009464e7541df651ae6fb542781c20e1500cda2ce9924203067b",
"cross_cats_sorted": [
"cs.LG",
"cs.NA",
"math.NA",
"math.ST",
"stat.TH"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.OC",
"submitted_at": "2021-12-17T18:55:40Z",
"title_canon_sha256": "2603087c5ac9a7900cb7b1ffc9925a9adf545336d54a9bf35f969d25becaf409"
},
"schema_version": "1.0",
"source": {
"id": "2112.09684",
"kind": "arxiv",
"version": 2
}
}