Pith Number
pith:2FNJUORZ
pith:2024:2FNJUORZHB3GIPYC3OJUEBVSOD
not attested
not anchored
not stored
refs pending
Universal Functional Regression with Neural Operator Flows
arxiv:2404.02986 v3 · 2024-04-03 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2FNJUORZHB3GIPYC3OJUEBVSOD}
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
· sign in to
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 | 2026-07-05T09:40:56.343484Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d15a9a3a393876643f02db934206b270fed63ce95cb3aeb36ea07545f3eed939
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2FNJUORZHB3GIPYC3OJUEBVSOD \
| 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: d15a9a3a393876643f02db934206b270fed63ce95cb3aeb36ea07545f3eed939
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "379051e74167ad5e212b8ff9218e2821d709f0c4909c71452a5322c9d9285edd",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-04-03T18:14:23Z",
"title_canon_sha256": "135a9368f5c90bbde295784f161ef7f6d0186b713cdb2d6d5dfc3143a91469af"
},
"schema_version": "1.0",
"source": {
"id": "2404.02986",
"kind": "arxiv",
"version": 3
}
}