Pith Number
pith:ZRHOJGQY
pith:2025:ZRHOJGQYDL7E2MYFRONZBZ2T5I
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refs pending
Physics-Informed Neural Networks for Irregular Domain Mapping and Partial Differential Equations solving
arxiv:2506.08622 v2 · 2025-06-10 · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZRHOJGQYDL7E2MYFRONZBZ2T5I}
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.
Receipt and verification
| First computed | 2026-07-05T11:19:29.892272Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cc4ee49a181afe4d33058b9b90e753ea15a54a017160fee32b3d4e843299e86d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZRHOJGQYDL7E2MYFRONZBZ2T5I \
| 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: cc4ee49a181afe4d33058b9b90e753ea15a54a017160fee32b3d4e843299e86d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "02cb02d9cb0b4e75296c8d787bf1027129a257944be2143f0d928505534a32a6",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.comp-ph",
"submitted_at": "2025-06-10T09:32:13Z",
"title_canon_sha256": "d27d62d1dbf41ba037a7b2cdaad6f03edfd6e14c042950ce8c0521f7e891e365"
},
"schema_version": "1.0",
"source": {
"id": "2506.08622",
"kind": "arxiv",
"version": 2
}
}