Pith. sign in
Pith Number

pith:5KLMLK2B

pith:2023:5KLMLK2BVB3EOPGCRSE5PIZOD7
not attested not anchored not stored refs pending

ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations

Enqiang Zhoui, Jie Liu, Junjun Yan, Xinhai Chen, Zhichao Wang

arxiv:2306.09389 v1 · 2023-06-15 · cs.LG · cs.AI · physics.comp-ph

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5KLMLK2BVB3EOPGCRSE5PIZOD7}

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 2026-07-05T06:21:19.176919Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

ea96c5ab41a876473cc28c89d7a32e1fd40f9a9c4a76f2840a2369f6a1dd4e18

Aliases

arxiv: 2306.09389 · arxiv_version: 2306.09389v1 · doi: 10.48550/arxiv.2306.09389 · pith_short_12: 5KLMLK2BVB3E · pith_short_16: 5KLMLK2BVB3EOPGC · pith_short_8: 5KLMLK2B
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5KLMLK2BVB3EOPGCRSE5PIZOD7 \
  | 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: ea96c5ab41a876473cc28c89d7a32e1fd40f9a9c4a76f2840a2369f6a1dd4e18
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "db8f103544d91128dbb3763dce59db45dcc68e74c89951b01f10e1d8eea51565",
    "cross_cats_sorted": [
      "cs.AI",
      "physics.comp-ph"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2023-06-15T15:49:13Z",
    "title_canon_sha256": "18e1c5a7bcad0fa43ecd8aa642b9482a4b83e6c22ddc473a1527a405b9b6136b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2306.09389",
    "kind": "arxiv",
    "version": 1
  }
}