Pith Number

pith:XMJPGOEH

pith:2023:XMJPGOEHO7JND63A2JHC3VEHTV

not attested not anchored not stored refs pending

Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference

Hongzheng Chen, Jiahao Zhang, Niansong Zhang, Shaojie Xiang, Yaohui Cai, Yixiao Du, Zhiru Zhang, Zichao Yue

arxiv:2312.15159 v2 · 2023-12-23 · cs.LG · cs.AI · cs.AR · cs.CL

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\usepackage{pith}
\pithnumber{XMJPGOEHO7JND63A2JHC3VEHTV}

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Record completeness

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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 Survey on Efficient Inference for Large Language Models

Receipt and verification

First computed	2026-07-05T08:05:07.567393Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

bb12f3388777d2d1fb60d24e2dd4879d56899b4795ecf4d059a7c38f5e798027

Aliases

arxiv: 2312.15159 · arxiv_version: 2312.15159v2 · doi: 10.48550/arxiv.2312.15159 · pith_short_12: XMJPGOEHO7JN · pith_short_16: XMJPGOEHO7JND63A · pith_short_8: XMJPGOEH

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/XMJPGOEHO7JND63A2JHC3VEHTV \
  | 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: bb12f3388777d2d1fb60d24e2dd4879d56899b4795ecf4d059a7c38f5e798027

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f422d86101ea7496c98feb648257ab7156dc7e32128305f7fa8a0882e5b32b45",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.AR",
      "cs.CL"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2023-12-23T04:27:06Z",
    "title_canon_sha256": "27bc5ed43bf25209a9422e57923e5191318cb8dba7455add75111409758315f3"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2312.15159",
    "kind": "arxiv",
    "version": 2
  }
}