Pith Number
pith:34O3FEKS
pith:2024:34O3FEKSV3Z4PAVSXA23APGCNC
not attested
not anchored
not stored
refs pending
Potential of quantum scientific machine learning applied to weather modelling
arxiv:2404.08737 v1 · 2024-04-12 · quant-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{34O3FEKSV3Z4PAVSXA23APGCNC}
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 | 2026-07-05T08:07:39.055140Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
df1db29152aef3c782b2b835b03cc268bc5262302f36229a8877f3dc65112562
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/34O3FEKSV3Z4PAVSXA23APGCNC \
| 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: df1db29152aef3c782b2b835b03cc268bc5262302f36229a8877f3dc65112562
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2095030e983bcc92b534d3703835e0a2a95365e25256dd53731b6f957446f00c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "quant-ph",
"submitted_at": "2024-04-12T18:01:26Z",
"title_canon_sha256": "db4bfeabde76c6a4157490fdcbaa7bf012a658f339c79f4042a666177a8f20ec"
},
"schema_version": "1.0",
"source": {
"id": "2404.08737",
"kind": "arxiv",
"version": 1
}
}