Pith Number

pith:T7FUZL4N

pith:2024:T7FUZL4NOJ2MZGVWUDUPYMIWW4

not attested not anchored not stored refs pending

Operator Learning: Algorithms and Analysis

Andrew M. Stuart, Nikola B. Kovachki, Samuel Lanthaler

arxiv:2402.15715 v1 · 2024-02-24 · cs.LG · cs.NA · math.NA

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{T7FUZL4NOJ2MZGVWUDUPYMIWW4}

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

6 papers in Pith

A Distributionally Robust Framework for Learned Reconstructions in Inverse Problems

Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers

Is Zero-Shot Super-Resolution Possible in Operator Learning?

A DeepONet for inverting the Neumann-to-Dirichlet Operator in Electrical Impedance Tomography: An approximation theoretic perspective and numerical results

Toward Data-Driven Surrogates of the Solar Wind with Spherical Fourier Neural Operator

Receipt and verification

First computed	2026-07-05T07:48:57.171642Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

9fcb4caf8d7274cc9ab6a0e8fc3116b73f23bdf74e10483f91ad2acdb9c51d87

Aliases

arxiv: 2402.15715 · arxiv_version: 2402.15715v1 · doi: 10.48550/arxiv.2402.15715 · pith_short_12: T7FUZL4NOJ2M · pith_short_16: T7FUZL4NOJ2MZGVW · pith_short_8: T7FUZL4N

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/T7FUZL4NOJ2MZGVWUDUPYMIWW4 \
  | 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: 9fcb4caf8d7274cc9ab6a0e8fc3116b73f23bdf74e10483f91ad2acdb9c51d87

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "77c868e81c4b6a84b2ac7c5330cb625d09ee9af18898cf2392bad4a2520ce265",
    "cross_cats_sorted": [
      "cs.NA",
      "math.NA"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-02-24T04:40:27Z",
    "title_canon_sha256": "2150a8cf4fa15df506733c1f8246c15a8c04c46cd503be83b937f6cdeae4d84e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2402.15715",
    "kind": "arxiv",
    "version": 1
  }
}