Pith Number
pith:YPFYX63W
pith:2025:YPFYX63WCNC6MGMCD3UKGVXFX5
not attested
not anchored
not stored
refs pending
Comment on "Provably Trainable Rotationally Equivariant Quantum Machine Learning"
arxiv:2504.16950 v1 · 2025-04-22 · quant-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YPFYX63WCNC6MGMCD3UKGVXFX5}
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 | 2026-07-05T10:53:19.506480Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c3cb8bfb761345e619821ee8a356e5bf41ed9b42601ab39cf691c6e2c7c453a4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YPFYX63WCNC6MGMCD3UKGVXFX5 \
| 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: c3cb8bfb761345e619821ee8a356e5bf41ed9b42601ab39cf691c6e2c7c453a4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "49ce4ea4952bf9a9991e5c3843a10a4ef4130af61ffedd40145353ace32004ca",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "quant-ph",
"submitted_at": "2025-04-22T16:01:18Z",
"title_canon_sha256": "cb3b0d132f8a4b7f413e2b2ef6ab42c177dc44dcaa5b3bd507ff8cdd9e8fc01e"
},
"schema_version": "1.0",
"source": {
"id": "2504.16950",
"kind": "arxiv",
"version": 1
}
}