Pith Number
pith:AIO2C3GA
pith:2019:AIO2C3GAMEPOKWSG4O6FJH4LZA
not attested
not anchored
not stored
refs pending
LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence
arxiv:1902.07399 v4 · 2019-02-20 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AIO2C3GAMEPOKWSG4O6FJH4LZA}
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.
Receipt and verification
| First computed | 2026-07-05T01:23:53.519531Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
021da16cc0611ee55a46e3bc549f8bc80b918feaec76e3199619c64925a2e8c2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AIO2C3GAMEPOKWSG4O6FJH4LZA \
| 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: 021da16cc0611ee55a46e3bc549f8bc80b918feaec76e3199619c64925a2e8c2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9008c245e19bd236f6282e6886c6cb60e5a626f44fa44d52944bb1e5e45dc6fb",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-02-20T04:31:11Z",
"title_canon_sha256": "a08e875ed65b376f4526820575719aa30334085d65409be93c061c7d7fbbd438"
},
"schema_version": "1.0",
"source": {
"id": "1902.07399",
"kind": "arxiv",
"version": 4
}
}