Pith Number

pith:25UDD36X

pith:2024:25UDD36X2UP2PB7GW72NPMPWYQ

not attested not anchored not stored refs pending

LLM Pruning and Distillation in Practice: The Minitron Approach

Ameya Sunil Mahabaleshwarkar, Ashwath Aithal, Bryan Catanzaro, Chenhan Yu, Daniel Korzekwa, Gerald Shen, Hayley Ross, Jan Kautz, Jiaqi Zeng, Marcin Chochowski, Mohammad Shoeybi, Mostofa Patwary, Oleksii Kuchaiev, Oluwatobi Olabiyi, Pavlo Molchanov, Raviraj Joshi, Saurav Muralidharan, Sharath Turuvekere Sreenivas, Shizhe Diao, Wei-Chun Chen, Yoshi Suhara, Zijia Chen

arxiv:2408.11796 v4 · 2024-08-21 · cs.CL · cs.AI · cs.LG

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{25UDD36X2UP2PB7GW72NPMPWYQ}

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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

20 papers in Pith

DiARC: Distinguishing Positive and Negative Samples Helps Improving ARC-like Reasoning Ability of Large Language Models

Small LLMs: Pruning vs. Training from Scratch

Joint Structural Pruning and Mixed-Precision Quantization for LLM Compression

LLM Compression with Jointly Optimizing Architectural and Quantization choices

Small LLMs: Pruning vs. Training from Scratch

Receipt and verification

First computed	2026-07-05T09:46:29.805196Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d76831efd7d51fa787e6b7f4d7b1f6c40832234cfdc3703561f95d2113407665

Aliases

arxiv: 2408.11796 · arxiv_version: 2408.11796v4 · doi: 10.48550/arxiv.2408.11796 · pith_short_12: 25UDD36X2UP2 · pith_short_16: 25UDD36X2UP2PB7G · pith_short_8: 25UDD36X

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/25UDD36X2UP2PB7GW72NPMPWYQ \
  | 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: d76831efd7d51fa787e6b7f4d7b1f6c40832234cfdc3703561f95d2113407665

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "b1581486d401edb19353b81fc0f17e19f7e0eb064802a4ca050e3263ca723db5",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2024-08-21T17:38:48Z",
    "title_canon_sha256": "b835fe9fdb3eb7bfb2261ed4fd9972426a6f5c6e906a9f830a4a4c8256b446f2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2408.11796",
    "kind": "arxiv",
    "version": 4
  }
}