Pith Number
pith:JGCMOXKY
pith:2026:JGCMOXKYTC3D45ANVKDSKC5HEZ
not attested
not anchored
not stored
refs pending
Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs
arxiv:2602.02788 v2 · 2026-02-02 · cs.LG · cs.AI · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JGCMOXKYTC3D45ANVKDSKC5HEZ}
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
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 | 2026-06-10T01:08:33.043958Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4984c75d5898b63e740daa87250ba726766f05293dd641f15b3ac4949154604f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JGCMOXKYTC3D45ANVKDSKC5HEZ \
| 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: 4984c75d5898b63e740daa87250ba726766f05293dd641f15b3ac4949154604f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ed28b1e9abcdbeb951115a1d3dc3d7a498f0db84cb33cf4b22885a289543de9a",
"cross_cats_sorted": [
"cs.AI",
"physics.comp-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-02-02T20:45:07Z",
"title_canon_sha256": "fa8036d39660c19f01fc0792c7c063555d06acfb0d26922a36f1d3ae3f86a541"
},
"schema_version": "1.0",
"source": {
"id": "2602.02788",
"kind": "arxiv",
"version": 2
}
}