Pith Number

pith:KP7LWJIB

pith:2022:KP7LWJIBXTT24UV3MRZZK4EQJH

not attested not anchored not stored refs pending

FMM-Net: neural network architecture based on the Fast Multipole Method

Daria Sushnikova, Ivan Oseledets, Pavel Kharyuk

arxiv:2212.12899 v1 · 2022-12-25 · math.NA · cs.AI · cs.LG · cs.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{KP7LWJIBXTT24UV3MRZZK4EQJH}

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

1 paper in Pith

MNO : A Multi-modal Neural Operator for Parametric Nonlinear BVPs

Receipt and verification

First computed	2026-07-05T05:28:14.635776Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

53febb2501bce7ae52bb647395709049cc4f97283b11b606ee6fa23e5e9a3f09

Aliases

arxiv: 2212.12899 · arxiv_version: 2212.12899v1 · doi: 10.48550/arxiv.2212.12899 · pith_short_12: KP7LWJIBXTT2 · pith_short_16: KP7LWJIBXTT24UV3 · pith_short_8: KP7LWJIB

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/KP7LWJIBXTT24UV3MRZZK4EQJH \
  | 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: 53febb2501bce7ae52bb647395709049cc4f97283b11b606ee6fa23e5e9a3f09

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "8283f43434e3f9d909d2d232ba325daa94fd197e70ce51eef2240fd54f587ae2",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG",
      "cs.NA"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "math.NA",
    "submitted_at": "2022-12-25T13:08:09Z",
    "title_canon_sha256": "53ff5169a209922cfbc5722f14ae9dfd0864a0658e4d5db254db9b3d5bcf1879"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2212.12899",
    "kind": "arxiv",
    "version": 1
  }
}