Pith Number
pith:65KVLDEE
pith:2023:65KVLDEE664FASLV6FXAEBDQD7
not attested
not anchored
not stored
refs pending
Graph Neural Networks for Aerodynamic Flow Reconstruction from Sparse Sensing
arxiv:2301.03228 v1 · 2023-01-09 · cs.CE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{65KVLDEE664FASLV6FXAEBDQD7}
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 | 2026-07-05T05:31:26.940960Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f755558c84f7b8504975f16e0204701fc77368aeee2454e88e4fe7103c57c858
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/65KVLDEE664FASLV6FXAEBDQD7 \
| 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: f755558c84f7b8504975f16e0204701fc77368aeee2454e88e4fe7103c57c858
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fc11ff68960c92d7bec185f296df10c59534e79e90b8496842e1aeaf17a76f35",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CE",
"submitted_at": "2023-01-09T09:50:14Z",
"title_canon_sha256": "1feb63c5da3e62ba94ed287feb461430b03b7fbeb0de0600a9a6bd9fe1810273"
},
"schema_version": "1.0",
"source": {
"id": "2301.03228",
"kind": "arxiv",
"version": 1
}
}