Pith Number

pith:MCOE3NPD

pith:2023:MCOE3NPDMAJFVJB3G4X47P7CGU

not attested not anchored not stored refs pending

LLMCad: Fast and Scalable On-device Large Language Model Inference

Daliang Xu, Mengwei Xu, Shiyun Wei, Wangsong Yin, Xin Jin, Xuanzhe Liu, Ying Zhang

arxiv:2309.04255 v1 · 2023-09-08 · cs.NI · 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{MCOE3NPDMAJFVJB3G4X47P7CGU}

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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

3 papers in Pith

Litespark Inference For CPUs: Ultra-Fast SIMD Framework for Ternary (1.58-bit) Language Models

A Unified Model and Document Representation for On-Device Retrieval-Augmented Generation

Receipt and verification

First computed	2026-07-05T06:48:57.302612Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

609c4db5e360125aa43b372fcfbfe235355bf6fdd7e5e017f21855babbf744b5

Aliases

arxiv: 2309.04255 · arxiv_version: 2309.04255v1 · doi: 10.48550/arxiv.2309.04255 · pith_short_12: MCOE3NPDMAJF · pith_short_16: MCOE3NPDMAJFVJB3 · pith_short_8: MCOE3NPD

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/MCOE3NPDMAJFVJB3G4X47P7CGU \
  | 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: 609c4db5e360125aa43b372fcfbfe235355bf6fdd7e5e017f21855babbf744b5

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "73d9bfcd99f6e951ece1f1389a32d9f29c29844e7c3794f6c42e9a17a1f398d1",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.NI",
    "submitted_at": "2023-09-08T10:44:19Z",
    "title_canon_sha256": "3431caa8f6e00b2f67c1e75947a631ca206b00336cbd23af2825a4de9a612142"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2309.04255",
    "kind": "arxiv",
    "version": 1
  }
}