Pith. sign in
Pith Number

pith:EN23MAPZ

pith:2020:EN23MAPZYEP6ACSR4VRPCYGTMD
not attested not anchored not stored refs pending

StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials

Anishi Mehta, Cory Braker Scott, Diane Oyen, Gowri Srinivasan, M. Giselle Fern\'andez-Godino, Nishant Panda, Weihong (Grace) Guo, Xiaowei Yue, Yinan Wang

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 open · sign in to claim
4 Citations open
5 Replications open
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

arxiv: 2011.10227 · arxiv_version: 2011.10227v1 · doi: 10.48550/arxiv.2011.10227 · pith_short_12: EN23MAPZYEP6 · pith_short_16: EN23MAPZYEP6ACSR · pith_short_8: EN23MAPZ
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
  }
}