Pith Number

pith:3DSE5OWA

pith:2025:3DSE5OWAWHLAGSWDL2KJ3IZ6SN

not attested not anchored not stored refs pending

WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training

Anna Cai, Chris Cai, Jianyu Huang, Jie Wang, Shikai Li, Weiwei Chu, Xinfeng Xie, Yuchen Hao, Yue Guan, Yufei Ding, Zaifeng Pan, Zheng Wang

arxiv:2503.17924 v1 · 2025-03-23 · cs.DC · cs.AI · cs.LG

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{3DSE5OWAWHLAGSWDL2KJ3IZ6SN}

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

3 papers in Pith

MTraining: Distributed Dynamic Sparse Attention for Efficient Ultra-Long Context Training

InfiniPipe: Elastic Pipeline Parallelism for Efficient Variable-Length Long-Context LLM Training

MegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production

Receipt and verification

First computed	2026-07-05T10:37:58.673895Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d8e44ebac0b1d6034ac35e949da33e935f8b528d59a4f83931a5a3389903bfe0

Aliases

arxiv: 2503.17924 · arxiv_version: 2503.17924v1 · doi: 10.48550/arxiv.2503.17924 · pith_short_12: 3DSE5OWAWHLA · pith_short_16: 3DSE5OWAWHLAGSWD · pith_short_8: 3DSE5OWA

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/3DSE5OWAWHLAGSWDL2KJ3IZ6SN \
  | 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: d8e44ebac0b1d6034ac35e949da33e935f8b528d59a4f83931a5a3389903bfe0

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "a047e6f19d78601a3cd0c847b3317f6a4b3f9092e370a6de9a889f267ba1a219",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.DC",
    "submitted_at": "2025-03-23T03:40:45Z",
    "title_canon_sha256": "9ce11c5a8132cfdb72b6d53d5f92ffbff221b580dbed3eb7425d5ac9bb8fab79"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2503.17924",
    "kind": "arxiv",
    "version": 1
  }
}