Pith Number
pith:VQCYHXFC
pith:2024:VQCYHXFCM7RQ6HJLO4LFQJEZAZ
not attested
not anchored
not stored
refs pending
Neural empirical interpolation method for nonlinear model reduction
arxiv:2406.03562 v2 · 2024-06-05 · math.NA · cs.LG · cs.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VQCYHXFCM7RQ6HJLO4LFQJEZAZ}
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 | 2026-07-05T11:01:24.886954Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ac0583dca267e30f1d2b7716582499064c5ef86fd3f7f63de06df0499cccd41f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VQCYHXFCM7RQ6HJLO4LFQJEZAZ \
| 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: ac0583dca267e30f1d2b7716582499064c5ef86fd3f7f63de06df0499cccd41f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "65d68063faafeddf06c1f755d524132e7626fb277aec8aa6f7cc32ba40bd015c",
"cross_cats_sorted": [
"cs.LG",
"cs.NA"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "math.NA",
"submitted_at": "2024-06-05T18:17:33Z",
"title_canon_sha256": "4491a2b3c55d677668fa7089daf0decbbca5f71baadbf75f98b326368729bb12"
},
"schema_version": "1.0",
"source": {
"id": "2406.03562",
"kind": "arxiv",
"version": 2
}
}