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Pith Number

pith:NJTGNH2W

pith:2026:NJTGNH2WCVRYVDQ22CFUDN5MYP
not attested not anchored not stored refs pending

Efficient Hyperparameter Optimization for LLM Reinforcement Learning

Bowen Xiao, Chuxuan Zeng, Du liang, Minping Chen, Zeyi Wen

arxiv:2606.03073 v1 · 2026-06-02 · cs.LG · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NJTGNH2WCVRYVDQ22CFUDN5MYP}

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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 2026-06-03T01:05:30.912239Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

6a66669f5615638a8e1ad08b41b7acc3dc904c4a6c76a448142070efb7593a88

Aliases

arxiv: 2606.03073 · arxiv_version: 2606.03073v1 · doi: 10.48550/arxiv.2606.03073 · pith_short_12: NJTGNH2WCVRY · pith_short_16: NJTGNH2WCVRYVDQ2 · pith_short_8: NJTGNH2W
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NJTGNH2WCVRYVDQ22CFUDN5MYP \
  | 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: 6a66669f5615638a8e1ad08b41b7acc3dc904c4a6c76a448142070efb7593a88
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "b94972e59d97f57b25ddc6a9d9ebcc3a626f83d8cbc7cc13bd2c61f47dd51078",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-06-02T03:02:06Z",
    "title_canon_sha256": "3219ad8d6dbe1f6db8678de5c25c03cdd782e80f5202cabf1d089c3928f3c7c4"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2606.03073",
    "kind": "arxiv",
    "version": 1
  }
}