Pith Number
pith:UXNRSXOA
pith:2018:UXNRSXOAIEWSDAZYC4JGHKZRPT
not attested
not anchored
not stored
refs pending
On the Analysis of Trajectories of Gradient Descent in the Optimization of Deep Neural Networks
arxiv:1807.08140 v1 · 2018-07-21 · cs.LG · math.OC · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UXNRSXOAIEWSDAZYC4JGHKZRPT}
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
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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 | 2026-05-18T00:10:09.150817Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a5db195dc0412d218338171263ab317cc4fbb2163f0218c4953284aa751fcf4a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UXNRSXOAIEWSDAZYC4JGHKZRPT \
| 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: a5db195dc0412d218338171263ab317cc4fbb2163f0218c4953284aa751fcf4a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0e511cfcba0d07dfa6da89e95adfa67123120062ddb394cdcd9c6dd9129d587e",
"cross_cats_sorted": [
"math.OC",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-07-21T12:32:36Z",
"title_canon_sha256": "cb6881f5acf1e7b8aaebc1f50ce42e22d245e3a49a022c8a99e715392debfe21"
},
"schema_version": "1.0",
"source": {
"id": "1807.08140",
"kind": "arxiv",
"version": 1
}
}