Pith Number

pith:T75T5AAJ

pith:2022:T75T5AAJG5EOMVRKB2YWKXAEEY

not attested not anchored not stored refs pending

Revisiting PINNs: Generative Adversarial Physics-informed Neural Networks and Point-weighting Method

Chao Zhang, Chuncheng Wang, Dacheng Tao, Hanting Guan, Wensheng Li

arxiv:2205.08754 v1 · 2022-05-18 · cs.LG

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{T75T5AAJG5EOMVRKB2YWKXAEEY}

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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

2 papers in Pith

An Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural Networks

Receipt and verification

First computed	2026-07-05T04:24:28.803835Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

9ffb3e80093748e6562a0eb1655c042624df63fad1dbc58a46731bfe02cf04b9

Aliases

arxiv: 2205.08754 · arxiv_version: 2205.08754v1 · doi: 10.48550/arxiv.2205.08754 · pith_short_12: T75T5AAJG5EO · pith_short_16: T75T5AAJG5EOMVRK · pith_short_8: T75T5AAJ

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/T75T5AAJG5EOMVRKB2YWKXAEEY \
  | 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: 9ffb3e80093748e6562a0eb1655c042624df63fad1dbc58a46731bfe02cf04b9

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "e0a1db32e7de282e5c3ee16ff3b141f68c247bffb49b60c23a3439ee86666609",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2022-05-18T06:50:44Z",
    "title_canon_sha256": "43d3fc41fd70d8006a88025c569aa903626a3175d0b30bc4aa7aa3f1f11b7e7e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2205.08754",
    "kind": "arxiv",
    "version": 1
  }
}