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Pith Number

pith:OLZKVGIJ

pith:2023:OLZKVGIJJY7EKKVTO2FKEPPXVD
not attested not anchored not stored refs pending

Exploring Attention Map Reuse for Efficient Transformer Neural Networks

Jungwook Choi, Kyuhong Shim, Wonyong Sung

arxiv:2301.12444 v1 · 2023-01-29 · cs.AI · eess.SP

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\usepackage{pith}
\pithnumber{OLZKVGIJJY7EKKVTO2FKEPPXVD}

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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

Receipt and verification
First computed 2026-07-05T05:36:54.426596Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

72f2aa99094e3e452ab3768aa23df7a8c679e4b20b6c51e93f8950bc5ef29d97

Aliases

arxiv: 2301.12444 · arxiv_version: 2301.12444v1 · doi: 10.48550/arxiv.2301.12444 · pith_short_12: OLZKVGIJJY7E · pith_short_16: OLZKVGIJJY7EKKVT · pith_short_8: OLZKVGIJ
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OLZKVGIJJY7EKKVTO2FKEPPXVD \
  | 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: 72f2aa99094e3e452ab3768aa23df7a8c679e4b20b6c51e93f8950bc5ef29d97
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "02a2e4fba994e62ed6b3c68cc488c529dd635c0a4467b9b6ecc7c6166f54ea1f",
    "cross_cats_sorted": [
      "eess.SP"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2023-01-29T13:38:45Z",
    "title_canon_sha256": "bea94cbf808ab87347450670485bcb3bad747ea8cc6c8166c4a611bacadf222c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2301.12444",
    "kind": "arxiv",
    "version": 1
  }
}