Pith Number

pith:GAKRX6LD

pith:2024:GAKRX6LD4KBDZSZ64IVAO6CXLI

not attested not anchored not stored refs pending

Coarse Graining with Neural Operators for Simulating Chaotic Systems

Anima Anandkumar, Chuwei Wang, Di Zhou, Jane Bae, Jiayun Wang, Julius Berner, Zongyi Li

arxiv:2408.05177 v5 · 2024-08-09 · cs.LG

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{GAKRX6LD4KBDZSZ64IVAO6CXLI}

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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

3 papers in Pith

Rigorous uncertainty quantification of probabilistic AI weather forecasts with conformal prediction

Differentiable Autoencoding Neural Operator for Interpretable and Integrable Latent Space Modeling

Predictivity and Utility of Neural Surrogates of Multiscale PDEs

Receipt and verification

First computed	2026-07-05T11:45:53.401209Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

30151bf963e2823ccb3ee22a0778575a016c378a34c31e45003cf87674801e55

Aliases

arxiv: 2408.05177 · arxiv_version: 2408.05177v5 · doi: 10.48550/arxiv.2408.05177 · pith_short_12: GAKRX6LD4KBD · pith_short_16: GAKRX6LD4KBDZSZ6 · pith_short_8: GAKRX6LD

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/GAKRX6LD4KBDZSZ64IVAO6CXLI \
  | 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: 30151bf963e2823ccb3ee22a0778575a016c378a34c31e45003cf87674801e55

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "44c5edd0105b654be2e5f7228b3139bb7b4fc57061cc85cad503d3290c0874b5",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-08-09T17:05:45Z",
    "title_canon_sha256": "207d13c33a0a50ca21c9804ad83102d14bedb58d2aa004bcfd997297d9fa1b0c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2408.05177",
    "kind": "arxiv",
    "version": 5
  }
}