Pith Number
pith:PMZTNFTY
pith:2025:PMZTNFTYTKROH54P4WMMDIBFXN
not attested
not anchored
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refs pending
Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming
arxiv:2507.11547 v1 · 2025-07-10 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PMZTNFTYTKROH54P4WMMDIBFXN}
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
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4
Citations
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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 | 2026-07-05T11:37:46.314605Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7b333696789aa2e3f78fe598c1a025bb7a43a173d57a92f014322d11390e0c31
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PMZTNFTYTKROH54P4WMMDIBFXN \
| 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: 7b333696789aa2e3f78fe598c1a025bb7a43a173d57a92f014322d11390e0c31
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6a8ed79264e2112822a85e35c82ed6bcb210276775545a85b32112d4115f51d2",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-07-10T08:14:18Z",
"title_canon_sha256": "cf7b7c139b15425adc2c5204f689f973bf1970bf42656e603c2d90ae36d1196e"
},
"schema_version": "1.0",
"source": {
"id": "2507.11547",
"kind": "arxiv",
"version": 1
}
}