pith. sign in
Pith Number

pith:VS44BEYE

pith:2026:VS44BEYEV4PPBYXOI7ZJILFYNN
not attested not anchored not stored refs pending

In-Context Learning for Data-Driven Censored Inventory Control

Anh-Duy Pham, Richard Pibernik, Sohom Mukherjee, Yunbei Xu

ICGPS combines offline meta-trained generative models with online in-context autoregressive generation to bound Bayesian regret in decision-dependent censored inventory control and outperforms baselines under mismatch.

arxiv:2605.14840 v1 · 2026-05-14 · cs.LG · math.OC · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VS44BEYEV4PPBYXOI7ZJILFYNN}

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.

Claims

C1strongest claim

The Bayesian regret of ICGPS with a learned completion kernel is bounded by the Bayesian regret of a TS benchmark with the ideal completion kernel plus a deployment penalty scaling as √T times the square root of the completion mismatch; for R-NV this yields sublinear Bayesian regret by reduction to bandit convex optimization feedback.

C2weakest assumption

Under reasonable coverage and stability assumptions, the online completion mismatch is controlled by the offline censored predictive mismatch so that offline predictive quality transfers to online performance.

C3one line summary

ICGPS combines offline meta-trained generative models with online in-context autoregressive generation to bound Bayesian regret in decision-dependent censored inventory control and outperforms baselines under mismatch.

Receipt and verification
First computed 2026-05-17T23:38:56.422398Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

acb9c09304af1ef0e2ee47f2942cb86b40ab408926fbe3a537209bddc4737e99

Aliases

arxiv: 2605.14840 · arxiv_version: 2605.14840v1 · doi: 10.48550/arxiv.2605.14840 · pith_short_12: VS44BEYEV4PP · pith_short_16: VS44BEYEV4PPBYXO · pith_short_8: VS44BEYE
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VS44BEYEV4PPBYXOI7ZJILFYNN \
  | 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: acb9c09304af1ef0e2ee47f2942cb86b40ab408926fbe3a537209bddc4737e99
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "5c1d7d50944aabb311f9e636ba38db31385a58fae82848ea78c2583d896f96c0",
    "cross_cats_sorted": [
      "math.OC",
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-14T13:45:20Z",
    "title_canon_sha256": "6d72e9ef78cd087f0c9fb14e1a40185b653dec7e737abcd5ee2b4ffc036c8849"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.14840",
    "kind": "arxiv",
    "version": 1
  }
}