Pith Number

pith:7E6MSA6G

pith:2022:7E6MSA6GOP56H4R35CPJZVR5Y4

not attested not anchored not stored refs pending

DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale

Ammar Ahmad Awan, Conglong Li, Jeff Rasley, Minjia Zhang, Reza Yazdani Aminabadi, Samyam Rajbhandari, Yuxiong He, Zhewei Yao

arxiv:2201.05596 v2 · 2022-01-14 · cs.LG · cs.AI · cs.DC

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{7E6MSA6GOP56H4R35CPJZVR5Y4}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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

12 papers in Pith

EPnG: Adaptive Expert Prune-and-Grow for Parameter-Efficient MoE Fine-tuning

PCCL: Process Group-Aware Scalable and Generic Collective Algorithm Synthesizer

Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models

Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource

TIDE: Efficient and Lossless MoE Diffusion LLM Inference with I/O-aware Expert Offload

Receipt and verification

First computed	2026-07-05T04:42:33.312193Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f93cc903c673fbe3f23be89e9cd63dc73522ee659d1be64d9c036b6d1b663679

Aliases

arxiv: 2201.05596 · arxiv_version: 2201.05596v2 · doi: 10.48550/arxiv.2201.05596 · pith_short_12: 7E6MSA6GOP56 · pith_short_16: 7E6MSA6GOP56H4R3 · pith_short_8: 7E6MSA6G

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/7E6MSA6GOP56H4R35CPJZVR5Y4 \
  | 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: f93cc903c673fbe3f23be89e9cd63dc73522ee659d1be64d9c036b6d1b663679

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "e124d610aa10f5cfc9feb7a5466a6dd31584ae449c79cdcfe578a00715466216",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.DC"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2022-01-14T18:36:04Z",
    "title_canon_sha256": "ed31414ea77fa05eac6534ba9c9c692e7f88f562db4f3d680df4bf8babfaa815"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2201.05596",
    "kind": "arxiv",
    "version": 2
  }
}