Pith Number
pith:SYHLGX3I
pith:2024:SYHLGX3IUT4XQKJV37OT34MSJT
not attested
not anchored
not stored
refs pending
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling
arxiv:2409.08477 v2 · 2024-09-13 · cs.LG · cs.AI · physics.flu-dyn
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SYHLGX3IUT4XQKJV37OT34MSJT}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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4
Citations
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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.
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Receipt and verification
| First computed | 2026-07-05T10:13:42.838410Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
960eb35f68a4f9782935dfdd3df1924ccca5b7e6a59102c28d099254aa7b8bd0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SYHLGX3IUT4XQKJV37OT34MSJT \
| 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: 960eb35f68a4f9782935dfdd3df1924ccca5b7e6a59102c28d099254aa7b8bd0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "83cd3d2e9ed8efb9477080cb73f9fd6385fc2ff93ebfbf44a9ab59b4d64db3ae",
"cross_cats_sorted": [
"cs.AI",
"physics.flu-dyn"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-09-13T02:07:20Z",
"title_canon_sha256": "5c6569bcf56dcef735c1c8d528ed5d2510e83ee4bbf0124729332dead67129f9"
},
"schema_version": "1.0",
"source": {
"id": "2409.08477",
"kind": "arxiv",
"version": 2
}
}