Pith Number
pith:EN23MAPZ
pith:2020:EN23MAPZYEP6ACSR4VRPCYGTMD
not attested
not anchored
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refs pending
StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials
arxiv:2011.10227 v1 · 2020-11-20 · cs.LG · cond-mat.mtrl-sci
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EN23MAPZYEP6ACSR4VRPCYGTMD}
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 | 2026-07-05T01:53:12.536706Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2375b601f9c11fe00a51e562f160d360fc3dd36ed6a639d99b65249cfba74ea9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EN23MAPZYEP6ACSR4VRPCYGTMD \
| 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: 2375b601f9c11fe00a51e562f160d360fc3dd36ed6a639d99b65249cfba74ea9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "599d4bb445c5d8c5c84f21884b8754c005c0a458214507dc16d41f5de1af0a8d",
"cross_cats_sorted": [
"cond-mat.mtrl-sci"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-11-20T05:49:12Z",
"title_canon_sha256": "ccf41f83a0291c4654671a125ea31698b3d5f33c350b660555837222d12917bb"
},
"schema_version": "1.0",
"source": {
"id": "2011.10227",
"kind": "arxiv",
"version": 1
}
}