Pith Number
pith:5BJWD7S5
pith:2022:5BJWD7S5UYGD6YPKCBW2V5CPXA
not attested
not anchored
not stored
refs pending
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks
arxiv:2205.02637 v1 · 2022-05-05 · physics.flu-dyn · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5BJWD7S5UYGD6YPKCBW2V5CPXA}
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 | 2026-07-05T04:20:39.504983Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e85361fe5da60c3f61ea106daaf44fb83c373bba56c26a85afbb2228e334fde7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5BJWD7S5UYGD6YPKCBW2V5CPXA \
| 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: e85361fe5da60c3f61ea106daaf44fb83c373bba56c26a85afbb2228e334fde7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "469b3e7667d63528f33aec36e891c84b5256b15f2486678e15c61490deae9229",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.flu-dyn",
"submitted_at": "2022-05-05T13:33:03Z",
"title_canon_sha256": "f15eb9cd40d2404a7e32df5adc41cb90763abf6d2fdb63b471181eab2ae0b8a5"
},
"schema_version": "1.0",
"source": {
"id": "2205.02637",
"kind": "arxiv",
"version": 1
}
}