Pith Number
pith:URPZUQX2
pith:2025:URPZUQX27JRG7MQG2MPOERF7GW
not attested
not anchored
not stored
refs pending
Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers
arxiv:2502.01146 v1 · 2025-02-03 · quant-ph · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{URPZUQX27JRG7MQG2MPOERF7GW}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:08:43.298888Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a45f9a42fafa626fb206d31ee244bf35beda7b9b8d9852380952ef4c0c089981
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/URPZUQX27JRG7MQG2MPOERF7GW \
| 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: a45f9a42fafa626fb206d31ee244bf35beda7b9b8d9852380952ef4c0c089981
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e5cd0e2b9e0266591f0f07283c1f61a58761365525234c2568eadaa19d378e3d",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "quant-ph",
"submitted_at": "2025-02-03T08:33:44Z",
"title_canon_sha256": "b62b398169e735baa245f2572115c0a56b94af46920bce0c51f119d1f56dc7bb"
},
"schema_version": "1.0",
"source": {
"id": "2502.01146",
"kind": "arxiv",
"version": 1
}
}