Pith Number

pith:25WTN4LX

pith:2024:25WTN4LX3XEW26VYECBVIQQKTZ

not attested not anchored not stored refs pending

CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations

Chris Apps, Hamish Tomlinson, Luis Piloto, Miha Zgubic, Sean Lovett, Sephora Madjiheurem, Sims Witherspoon, Sofia Liguori, Sophie Elster

arxiv:2403.17660 v1 · 2024-03-26 · 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{25WTN4LX3XEW26VYECBVIQQKTZ}

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

Physics-Informed Graph Learning Acceleration for Large-Scale AC-OPF with Topology Changes

Towards Generalization of Graph Neural Networks for AC Optimal Power Flow

Newton's Lantern: A Reinforcement Learning Framework for Finetuning AC Power Flow Warm Start Models

LUMINA: A Grid Foundation Model for Benchmarking AC Optimal Power Flow Surrogate Learning

Towards Systematic Generalization for Power Grid Optimization Problems

Receipt and verification

First computed	2026-07-05T08:00:53.969021Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d76d36f177ddc96d7ab8208354420a9e7bb319664c26e061408b466cd732cc72

Aliases

arxiv: 2403.17660 · arxiv_version: 2403.17660v1 · doi: 10.48550/arxiv.2403.17660 · pith_short_12: 25WTN4LX3XEW · pith_short_16: 25WTN4LX3XEW26VY · pith_short_8: 25WTN4LX

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/25WTN4LX3XEW26VYECBVIQQKTZ \
  | 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: d76d36f177ddc96d7ab8208354420a9e7bb319664c26e061408b466cd732cc72

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "961e681c30af30f5f59178759d2ab99ccfaaebb9c945465c013378b4aee2f659",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-03-26T12:47:04Z",
    "title_canon_sha256": "83d34c4b19f8b4f00436f93f3e4af2b28ccfc1199d10a79dce4e8f213b2be55c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2403.17660",
    "kind": "arxiv",
    "version": 1
  }
}