pith. sign in
Pith Number

pith:XMLQPK4G

pith:2026:XMLQPK4GKBWXP6LYRQADFHDRHU
not attested not anchored not stored refs pending

Joint Optimization of Training and Inference in Federated Edge Learning via Constrained Multi-Objective Deep Reinforcement Learning

Chao Yang, Haoran Gao, Jun Cai, Zhen Li

arxiv:2605.25916 v1 · 2026-05-25 · cs.LG · cs.DC · cs.NI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XMLQPK4GKBWXP6LYRQADFHDRHU}

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.
Receipt and verification
First computed 2026-05-26T02:05:18.156220Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

bb1707ab86506d77f9788c00329c713d215953f23c1bdc22bb1e5fe56cadde60

Aliases

arxiv: 2605.25916 · arxiv_version: 2605.25916v1 · doi: 10.48550/arxiv.2605.25916 · pith_short_12: XMLQPK4GKBWX · pith_short_16: XMLQPK4GKBWXP6LY · pith_short_8: XMLQPK4G
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XMLQPK4GKBWXP6LYRQADFHDRHU \
  | 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: bb1707ab86506d77f9788c00329c713d215953f23c1bdc22bb1e5fe56cadde60
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "c27c56d6a013f8679c431e84631ee5634846a83e90cda6ce7f5f752f18ba8668",
    "cross_cats_sorted": [
      "cs.DC",
      "cs.NI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-25T14:51:07Z",
    "title_canon_sha256": "dcbc8becba58afa67b7d7f67e6f7b11b281b5df44122feffc3dd2321329a66e0"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.25916",
    "kind": "arxiv",
    "version": 1
  }
}