Pith Number
pith:NOKBQG57
pith:2026:NOKBQG57SKRIVDYNKBI43ZW332
not attested
not anchored
not stored
refs pending
Operator Learning for Reconstructing Flow Fields from Sparse Measurements: a Language Model Approach
arxiv:2605.23712 v1 · 2026-05-22 · cs.CE · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NOKBQG57SKRIVDYNKBI43ZW332}
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
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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 | 2026-05-25T02:02:27.555435Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6b94181bbf92a28a8f0d5051cde6dbde8c4757af3c89d72b1639c6855796cc43
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NOKBQG57SKRIVDYNKBI43ZW332 \
| 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: 6b94181bbf92a28a8f0d5051cde6dbde8c4757af3c89d72b1639c6855796cc43
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "618b5f4be03d8124079ec29c9887b76d775f9401e21e81b16efed1655699d53e",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CE",
"submitted_at": "2026-05-22T14:56:05Z",
"title_canon_sha256": "8b4943213e9d21e1e057c1c434d92abd489e975f56b1c3e6958d4a6efb9e9a0c"
},
"schema_version": "1.0",
"source": {
"id": "2605.23712",
"kind": "arxiv",
"version": 1
}
}