Pith Number
pith:6WYLBYHK
pith:2022:6WYLBYHKLU65ERVYL5X5CX6LQ4
not attested
not anchored
not stored
refs pending
LAWS: Look Around and Warm-Start Natural Gradient Descent for Quantum Neural Networks
arxiv:2205.02666 v1 · 2022-05-05 · quant-ph · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6WYLBYHKLU65ERVYL5X5CX6LQ4}
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 | 2026-07-05T04:20:39.711157Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f5b0b0e0ea5d3dd246b85f6fd15fcb871bc2aa5e7fad8fc75debee0ebcb417da
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6WYLBYHKLU65ERVYL5X5CX6LQ4 \
| 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: f5b0b0e0ea5d3dd246b85f6fd15fcb871bc2aa5e7fad8fc75debee0ebcb417da
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "baed513d7dc6d24b2a01582a1f151fcad729f8175230321c1feb6a0cfbf63776",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "quant-ph",
"submitted_at": "2022-05-05T14:16:40Z",
"title_canon_sha256": "83923797d47d08530748460c9420fbed1a2eaed16349f35e213fdfe74d227914"
},
"schema_version": "1.0",
"source": {
"id": "2205.02666",
"kind": "arxiv",
"version": 1
}
}