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Pith Number

pith:LGRBXU5O

pith:2024:LGRBXU5OKXSNJNSZ4VZB5PKX7E
not attested not anchored not stored refs pending

Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective

Hojin Kim, Kwanjung Yee, Namwoo Kang, Romit Maulik, Sunwoong Yang, Yoonpyo Hong

arxiv:2401.08667 v4 · 2024-01-05 · physics.flu-dyn · cs.CE · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LGRBXU5OKXSNJNSZ4VZB5PKX7E}

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.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-07-05T08:20:26.978435Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

59a21bd3ae55e4d4b659e5721ebd57f92efecdf845932541c035967bfc41c96a

Aliases

arxiv: 2401.08667 · arxiv_version: 2401.08667v4 · doi: 10.48550/arxiv.2401.08667 · pith_short_12: LGRBXU5OKXSN · pith_short_16: LGRBXU5OKXSNJNSZ · pith_short_8: LGRBXU5O
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LGRBXU5OKXSNJNSZ4VZB5PKX7E \
  | 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: 59a21bd3ae55e4d4b659e5721ebd57f92efecdf845932541c035967bfc41c96a
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "4644fa54935deb138e1fab406675a1f5a48a3b67c69bbbc1baf79e5094228884",
    "cross_cats_sorted": [
      "cs.CE",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "physics.flu-dyn",
    "submitted_at": "2024-01-05T16:31:16Z",
    "title_canon_sha256": "e1e76ef676796134198c6ea602e2649e11af3e113c6ddbfee4b65c0fff938928"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2401.08667",
    "kind": "arxiv",
    "version": 4
  }
}