Pith Number

pith:4CKL4YV5

pith:2024:4CKL4YV5WNOMOG6IA3BJ42TEFY

not attested not anchored not stored refs pending

FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting

Fenghua Ling, Jingjia Luo, Junchao Gong, Junxia Gu, Kan Dai, Kang Chen, Lei Bai, Song Guo, Tao Han, Wanli Ouyang

arxiv:2402.00059 v1 · 2024-01-28 · cs.LG · cs.AI · physics.ao-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{4CKL4YV5WNOMOG6IA3BJ42TEFY}

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

Air Quality Downscaling with Station-Guided Pseudo-Supervision

RealBench: Benchmarking Data-Driven Numerical Weather Forecasting Under Operational Conditions and Extreme Event Challenges

STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting

Earth-o1: A Grid-free Observation-native Atmospheric World Model

Generative 3D Gaussian Splatting for Arbitrary-ResolutionAtmospheric Downscaling and Forecasting

Receipt and verification

First computed	2026-07-05T07:39:48.171795Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

e094be62bdb35cc71bc806c29e6a642e1a29c157fff8f1c737ddfa2aa821c95f

Aliases

arxiv: 2402.00059 · arxiv_version: 2402.00059v1 · doi: 10.48550/arxiv.2402.00059 · pith_short_12: 4CKL4YV5WNOM · pith_short_16: 4CKL4YV5WNOMOG6I · pith_short_8: 4CKL4YV5

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/4CKL4YV5WNOMOG6IA3BJ42TEFY \
  | 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: e094be62bdb35cc71bc806c29e6a642e1a29c157fff8f1c737ddfa2aa821c95f

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "9a49aa9dc995e5d8f8aa0d8239bc303d0df4547a9f9500d531a9d34632ea976a",
    "cross_cats_sorted": [
      "cs.AI",
      "physics.ao-ph"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-01-28T13:23:25Z",
    "title_canon_sha256": "9beb8f28e38bbe620d0db9a5e962229d6a422df86f410221f227b9b854fa47a1"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2402.00059",
    "kind": "arxiv",
    "version": 1
  }
}