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pith:2YFA7KKG

pith:2026:2YFA7KKGV5SEELUIW7TBFX5ZMB
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InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees

Benyou Wang, Bo Jiang, Chenyu Huang, Jianghao Lin, Lai Wei, Ruoqing Jiang, Zhengyang Tang

InvEvolve uses large language models to evolve white-box inventory policies with statistical safety guarantees and a lower bound on success probability.

arxiv:2605.00369 v4 · 2026-05-01 · cs.LG · cs.AI

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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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.

Claims

C1strongest claim

InvEvolve evolves new policies that improve upon existing benchmarks and provides a lower bound on the probability that it evolves a statistically safe and improved policy, with outperformance shown on both synthetic data and real-world retail data.

C2weakest assumption

The unified theoretical model correctly connects training, inference, and deployment to deliver a valid lower bound on the probability of a safe improved policy and an accurate characterization of the multi-period performance gap relative to the oracle-safe benchmark.

C3one line summary

InvEvolve evolves white-box inventory policies from LLMs with statistical safety guarantees and outperforms classical and deep learning methods on synthetic and real retail data.

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-06-08T01:04:06.180445Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

d60a0fa946af64422e88b7e612dfb9605f38cfcd4023e999f9e747f2c8d5ad79

Aliases

arxiv: 2605.00369 · arxiv_version: 2605.00369v4 · doi: 10.48550/arxiv.2605.00369 · pith_short_12: 2YFA7KKGV5SE · pith_short_16: 2YFA7KKGV5SEELUI · pith_short_8: 2YFA7KKG
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2YFA7KKGV5SEELUIW7TBFX5ZMB \
  | 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: d60a0fa946af64422e88b7e612dfb9605f38cfcd4023e999f9e747f2c8d5ad79
Canonical record JSON
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      "cs.AI"
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-01T03:12:16Z",
    "title_canon_sha256": "64441455f6eb6103dbdca830517a0a271ca95de8bf0fe2f0746f4ef7428e8e7e"
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