Pith. sign in
Pith Number

pith:HQF7VG25

pith:2025:HQF7VG255MWB6H56APT7ZVODND
not attested not anchored not stored refs pending

Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach

Boyang Zhang, Geoffrey Ye Li, Mingxuan Sun, Shuai Zhang, Songyang Zhang, Xiangwei Zhou, Xiaobing Chen

arxiv:2507.05685 v1 · 2025-07-08 · cs.LG · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HQF7VG255MWB6H56APT7ZVODND}

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

1 paper in Pith

Receipt and verification
First computed 2026-07-05T11:33:34.766341Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

3c0bfa9b5deb2c1f1fbe03e7fcd5c368dc2d9734e433e1d680cf12dd02ba9806

Aliases

arxiv: 2507.05685 · arxiv_version: 2507.05685v1 · doi: 10.48550/arxiv.2507.05685 · pith_short_12: HQF7VG255MWB · pith_short_16: HQF7VG255MWB6H56 · pith_short_8: HQF7VG25
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HQF7VG255MWB6H56APT7ZVODND \
  | 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: 3c0bfa9b5deb2c1f1fbe03e7fcd5c368dc2d9734e433e1d680cf12dd02ba9806
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "bb17583f2d29ce0160dce74efa2a31ddee6d8a08ba965237e48f51ca123cef18",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-07-08T05:30:37Z",
    "title_canon_sha256": "566ffb80923beb9848e248746fbd65599217f420b8a92371283fc8c7e4275f88"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2507.05685",
    "kind": "arxiv",
    "version": 1
  }
}