Pith Number

pith:D4QXCCEL

pith:2022:D4QXCCELXS6T2J37O2RPBVEMLN

not attested not anchored not stored refs pending

Enhancing Transformer Efficiency for Multivariate Time Series Classification

Linda Petzold, Yun Zhao, Yuqing Wang

arxiv:2203.14472 v1 · 2022-03-28 · cs.LG · cs.AI

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{D4QXCCELXS6T2J37O2RPBVEMLN}

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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

1 paper in Pith

A Comparative Study of Pruning Methods in Transformer-based Time Series Forecasting

Receipt and verification

First computed	2026-07-05T04:09:05.306677Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

1f2171088bbcbd3d277f76a2f0d48c5b7ca9a7ed88138a613ff01f458d6c5bee

Aliases

arxiv: 2203.14472 · arxiv_version: 2203.14472v1 · doi: 10.48550/arxiv.2203.14472 · pith_short_12: D4QXCCELXS6T · pith_short_16: D4QXCCELXS6T2J37 · pith_short_8: D4QXCCEL

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/D4QXCCELXS6T2J37O2RPBVEMLN \
  | 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: 1f2171088bbcbd3d277f76a2f0d48c5b7ca9a7ed88138a613ff01f458d6c5bee

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "edf7a728beff4834e964d46c7ed3063c0cdd9ce9db631052627463e56b8d1913",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2022-03-28T03:25:19Z",
    "title_canon_sha256": "8bee2abe2b26a590b32700d3deac9fb94670d1156a65ce149fc5840ff731486f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2203.14472",
    "kind": "arxiv",
    "version": 1
  }
}