Pith Number

pith:ZEIRZI7T

pith:2024:ZEIRZI7TXVAJRBHLXH7WQ35MQ3

not attested not anchored not stored refs pending

From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning

Alan John Varghese, Chenxi Wu, George Em Karniadakis, Juan Diego Toscano, Nazanin Ahmadi Daryakenari, Vivek Oommen, Zongren Zou

arxiv:2410.13228 v2 · 2024-10-17 · cs.LG · cs.AI · physics.comp-ph

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{ZEIRZI7TXVAJRBHLXH7WQ35MQ3}

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

5 papers in Pith

Physics-Informed Neural Networks for coupled stiff transport systems

Reconstructing Galactic Gravitational Potentials from Stellar Kinematics with Physics-Informed Neural Networks

Decision-Aware Evaluation of Physics-Informed Surrogates

SPLIT-PINN: Separable Probability Learning Technique via Physics-Informed Neural Networks for High-Dimensional Probabilistic Modeling

A Practitioner's Guide to Kolmogorov-Arnold Networks

Receipt and verification

First computed	2026-07-05T09:24:00.555683Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c9111ca3f3bd409884ebb9ff686fac86c524579360d60c4bb94ea666693e5944

Aliases

arxiv: 2410.13228 · arxiv_version: 2410.13228v2 · doi: 10.48550/arxiv.2410.13228 · pith_short_12: ZEIRZI7TXVAJ · pith_short_16: ZEIRZI7TXVAJRBHL · pith_short_8: ZEIRZI7T

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZEIRZI7TXVAJRBHLXH7WQ35MQ3 \
  | 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: c9111ca3f3bd409884ebb9ff686fac86c524579360d60c4bb94ea666693e5944

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "25086459432303b63bc183553959420c6ceff3cc6390994e727fdc06fff19b74",
    "cross_cats_sorted": [
      "cs.AI",
      "physics.comp-ph"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-10-17T05:30:59Z",
    "title_canon_sha256": "a93643ca554dc2395c75fa7ef9f7e90937ecdcc327d256c13d21d2af7da9717a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2410.13228",
    "kind": "arxiv",
    "version": 2
  }
}