Pith Number

pith:GKZ7IQYG

pith:2026:GKZ7IQYGB2X7KRJWZBPNP7QZZZ

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LLM-Enhanced Deep Reinforcement Learning for Task Offloading in Collaborative Edge Computing

Hao Guo, kaixiang Xu, Lei Yang, Ziwu Ge

LeDRL integrates a lightweight LLM to supply strategy priors that improve DRL-based task offloading decisions in collaborative edge networks.

arxiv:2605.05727 v2 · 2026-05-07 · cs.DC

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\pithnumber{GKZ7IQYGB2X7KRJWZBPNP7QZZZ}

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4 Citations open

5 Replications open

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Claims

C1strongest claim

Extensive experiments show that LeDRL outperforms baselines in task success rate, convergence speed, and real-time responsiveness across diverse network scales, achieving over 17% improvement in success rate. Furthermore, we deploy LeDRL on Jetson-based edge devices using our prototype system CoEdgeSys, demonstrating its robustness and feasibility under resource constraints.

C2weakest assumption

That the lightweight LLM can reliably generate useful, context-aware strategy priors from structured prompts in real time, and that the reflective evaluator produces temporally generalizable improvements without introducing prohibitive latency or instability.

C3one line summary

LeDRL integrates a lightweight LLM using structured prompts and a reflective evaluator with self-attention DRL to achieve over 17% higher task success rates and better convergence in edge computing task offloading.

Receipt and verification

First computed	2026-06-11T01:09:37.152055Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

32b3f443060eaff54536c85ed7fe19ce50db5fbaed44d83060f24d4f38338bbe

Aliases

arxiv: 2605.05727 · arxiv_version: 2605.05727v2 · doi: 10.48550/arxiv.2605.05727 · pith_short_12: GKZ7IQYGB2X7 · pith_short_16: GKZ7IQYGB2X7KRJW · pith_short_8: GKZ7IQYG

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/GKZ7IQYGB2X7KRJWZBPNP7QZZZ \
  | 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: 32b3f443060eaff54536c85ed7fe19ce50db5fbaed44d83060f24d4f38338bbe

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "88f5910788ce8d017d7273a782c12422b9b1ce67f87a38baade6e91dedb779e1",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.DC",
    "submitted_at": "2026-05-07T06:19:07Z",
    "title_canon_sha256": "96edc90ef7fc18a9d27ebd1ee09c619b99cf5c4ad23ace896f7fb1837308faae"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.05727",
    "kind": "arxiv",
    "version": 2
  }
}