Pith Number

pith:I2PSZBJQ

pith:2023:I2PSZBJQORZZN2H3TE7IVLSZQ2

not attested not anchored not stored refs pending

FP8-BERT: Post-Training Quantization for Transformer

Dongkuan Xu, Ian En-Hsu Yen, Jianwei Li, Tianchi Zhang

arxiv:2312.05725 v2 · 2023-12-10 · cs.AI · cs.LG

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\usepackage{pith}
\pithnumber{I2PSZBJQORZZN2H3TE7IVLSZQ2}

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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

Post-Training Quantization of Generative and Discriminative LSTM Text Classifiers: A Study of Calibration, Class Balance, and Robustness

Receipt and verification

First computed	2026-07-05T07:23:10.789855Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

469f2c8530747396e8fb993e8aae5986ab463fd0c8fdfa0f5715812572b8e194

Aliases

arxiv: 2312.05725 · arxiv_version: 2312.05725v2 · doi: 10.48550/arxiv.2312.05725 · pith_short_12: I2PSZBJQORZZ · pith_short_16: I2PSZBJQORZZN2H3 · pith_short_8: I2PSZBJQ

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/I2PSZBJQORZZN2H3TE7IVLSZQ2 \
  | 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: 469f2c8530747396e8fb993e8aae5986ab463fd0c8fdfa0f5715812572b8e194

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "6dfe0ee4f906cb4971e2601bb19146c7a686076c7b36d23b4fb86f3143c36cb9",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2023-12-10T02:14:34Z",
    "title_canon_sha256": "2899810525661713d9abb45298638f047da9661f3372e717d9a85b2e946055a8"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2312.05725",
    "kind": "arxiv",
    "version": 2
  }
}