Pith Number
pith:GPCZUNNL
pith:2025:GPCZUNNLG5JOGXSA2XLQS24QN3
not attested
not anchored
not stored
refs pending
High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations
arxiv:2505.05354 v1 · 2025-05-08 · cond-mat.mtrl-sci · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GPCZUNNLG5JOGXSA2XLQS24QN3}
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 | 2026-07-05T11:00:23.031250Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
33c59a35ab3752e35e40d5d7096b906efbe047635f6ea11752f487c492ebfb76
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GPCZUNNLG5JOGXSA2XLQS24QN3 \
| 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: 33c59a35ab3752e35e40d5d7096b906efbe047635f6ea11752f487c492ebfb76
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "52c4602fff13e3782816387f478935a62f1bf86deeeacc2ec6613e3d9f65c889",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2025-05-08T15:43:40Z",
"title_canon_sha256": "643361689c4a6a13ccd740894d2908819dbfdf8ae0df8dea5bb16ad2ec28b1a5"
},
"schema_version": "1.0",
"source": {
"id": "2505.05354",
"kind": "arxiv",
"version": 1
}
}