Pith Number

pith:ZXUHLWRI

pith:2024:ZXUHLWRIIZAI5UX62TUHRS4FRE

not attested not anchored not stored refs pending

Data driven weather forecasts trained and initialised directly from observations

Anthony McNally, Chris Burrows, Christian Lessig, Ethel Villeneuve, Eulalie Boucher, Ewan Pinnington, Florian Pinault, Marcin Chrust, Matthew Chantry, Mihai Alexe, Niels Bormann, Peter Lean, Sean Healy, Simon Lang

arxiv:2407.15586 v1 · 2024-07-22 · physics.ao-ph · cs.LG

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{ZXUHLWRIIZAI5UX62TUHRS4FRE}

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

7 papers in Pith

Global reanalysis from observations alone with machine learning

Machine learning is revolutionizing weather forecasting -- the next step is a change in how we work

Skillful high-resolution weather forecasting independent of physical models

AIFS-DOP: End-to-End Medium-Range Weather Prediction from Observations Alone with Machine Learning

HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts

Receipt and verification

First computed	2026-07-05T08:46:58.336111Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

cde875da2846408ed2fed4e878cb858905680f4306089fb467d063cc150b062b

Aliases

arxiv: 2407.15586 · arxiv_version: 2407.15586v1 · doi: 10.48550/arxiv.2407.15586 · pith_short_12: ZXUHLWRIIZAI · pith_short_16: ZXUHLWRIIZAI5UX6 · pith_short_8: ZXUHLWRI

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/ZXUHLWRIIZAI5UX62TUHRS4FRE \
  | 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: cde875da2846408ed2fed4e878cb858905680f4306089fb467d063cc150b062b

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "ab55cedd48fffea92fbd2dd782355b563ca33cb3a3817f78fd360734befb5317",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "physics.ao-ph",
    "submitted_at": "2024-07-22T12:23:26Z",
    "title_canon_sha256": "b5d83ffc1869c15cef7ca51d8d98eec0aeccc9edf19728025d774649e8e19920"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2407.15586",
    "kind": "arxiv",
    "version": 1
  }
}