Pith Number

pith:BCYXLEAR

pith:2026:BCYXLEARYWFQQCFVBXKROPUSAQ

not attested not anchored not stored refs pending

PMCTS: Particle Monte Carlo Tree Search for Principled Parallelized Inference Time Scaling

Hendrik Baier, Joery A. de Vries, Matthijs T. J. Spaan, Viliam Vadocz, Wendelin B\"ohmer, Yaniv Oren

PMCTS is the first parallel Monte Carlo Tree Search algorithm that preserves formal policy improvement guarantees for neural network evaluations.

arxiv:2605.08982 v2 · 2026-05-09 · cs.LG

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\usepackage{pith}
\pithnumber{BCYXLEARYWFQQCFVBXKROPUSAQ}

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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.

Claims

C1strongest claim

PMCTS is the first principled parallel MCTS algorithm suited for neural network evaluations that preserves formal policy improvement guarantees.

C2weakest assumption

That the particle-based parallelization mechanism does not introduce bias or violate the original MCTS convergence properties when neural network evaluations are used.

C3one line summary

PMCTS is the first principled parallel MCTS algorithm that preserves formal policy improvement guarantees and scales with parallel compute.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-22T01:04:05.712074Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

08b1759011c58b0808b50dd5173e92040252eaa0675444e81752221637555da4

Aliases

arxiv: 2605.08982 · arxiv_version: 2605.08982v2 · doi: 10.48550/arxiv.2605.08982 · pith_short_12: BCYXLEARYWFQ · pith_short_16: BCYXLEARYWFQQCFV · pith_short_8: BCYXLEAR

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/BCYXLEARYWFQQCFVBXKROPUSAQ \
  | 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: 08b1759011c58b0808b50dd5173e92040252eaa0675444e81752221637555da4

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "4957fe21b4e2c176bf8dca54baad63f8fc97eb9b5d5418a5cf19d0353009657f",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-09T14:54:07Z",
    "title_canon_sha256": "1edbeafbaed4fbaed6fc7cb04a3969a4c61fe54f4a080b71a0bc2d6082bec347"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.08982",
    "kind": "arxiv",
    "version": 2
  }
}