Pith Number
pith:WXPIQMJS
pith:2025:WXPIQMJSOW5ORU74ZLOWOU4I65
not attested
not anchored
not stored
refs pending
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations
arxiv:2505.23014 v1 · 2025-05-29 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WXPIQMJSOW5ORU74ZLOWOU4I65}
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
✓
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 | 2026-07-05T11:11:53.586765Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b5de88313275bae8d3fccadd675388f7594b7a8c9af73ffb9c1f16c7c7376eb2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WXPIQMJSOW5ORU74ZLOWOU4I65 \
| 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: b5de88313275bae8d3fccadd675388f7594b7a8c9af73ffb9c1f16c7c7376eb2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "277c738caf0c94366691c58c06c7e1b5f3eccbbce5211f30173bdabcc565dd69",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-29T02:49:26Z",
"title_canon_sha256": "ed0940d7f75238f5d8256576775aa925799b80d9a2d6ead8655f58084aae224d"
},
"schema_version": "1.0",
"source": {
"id": "2505.23014",
"kind": "arxiv",
"version": 1
}
}