Pith Number
pith:PEJIKV5H
pith:2025:PEJIKV5H7MZNDZ7XUXLOWYYUEB
not attested
not anchored
not stored
refs pending
Sequential Neural Operator Transformer for High-Fidelity Surrogates of Time-Dependent Non-linear Partial Differential Equations
arxiv:2507.03272 v1 · 2025-07-04 · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PEJIKV5H7MZNDZ7XUXLOWYYUEB}
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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claim
4
Citations
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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 | 2026-07-05T11:31:55.868552Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
79128557a7fb32d1e7f7a5d6eb631420657ad7f05750adebd65557480abd491a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PEJIKV5H7MZNDZ7XUXLOWYYUEB \
| 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: 79128557a7fb32d1e7f7a5d6eb631420657ad7f05750adebd65557480abd491a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "49e0627539a907d923f4ba523cafcdbc9d09fe722f29c6602f6c1f9d9484facb",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.comp-ph",
"submitted_at": "2025-07-04T03:06:51Z",
"title_canon_sha256": "296a651f4595654a4b756c0acf38e3ac9adfaab585163b0a813a419be4fd044d"
},
"schema_version": "1.0",
"source": {
"id": "2507.03272",
"kind": "arxiv",
"version": 1
}
}