Pith Number
pith:XAM4JHF7
pith:2023:XAM4JHF7VR3MWLAW2N32TMUQ5Q
not attested
not anchored
not stored
refs pending
Meta-Learning for Airflow Simulations with Graph Neural Networks
arxiv:2306.10624 v1 · 2023-06-18 · cs.LG · physics.flu-dyn
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XAM4JHF7VR3MWLAW2N32TMUQ5Q}
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.
Receipt and verification
| First computed | 2026-07-05T06:22:09.439606Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b819c49cbfac76cb2c16d377a9b290ec1fb14d32e51f11a1a39784649799c6d3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XAM4JHF7VR3MWLAW2N32TMUQ5Q \
| 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: b819c49cbfac76cb2c16d377a9b290ec1fb14d32e51f11a1a39784649799c6d3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3c562630fb4c230a7d82ef9388aa5b5a6e6dfab3829f51291d69a23f54acf285",
"cross_cats_sorted": [
"physics.flu-dyn"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-06-18T19:25:13Z",
"title_canon_sha256": "fcd148989b4d928e17495b1bfe781c3b70b6bd620ed2f3b89f77424e2e93e0cd"
},
"schema_version": "1.0",
"source": {
"id": "2306.10624",
"kind": "arxiv",
"version": 1
}
}