pith:GBW53235
TMAS: Scaling Test-Time Compute via Multi-Agent Synergy
TMAS scales test-time compute for LLMs by organizing multi-agent collaboration with hierarchical memories and hybrid rewards.
arxiv:2605.10344 v2 · 2026-05-11 · cs.AI
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\pithnumber{GBW53235HNRICLRHEVOZOU44BY}
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Record completeness
Claims
TMAS achieves stronger iterative scaling than existing test-time scaling baselines, while hybrid reward training further improves scaling effectiveness and stability across iterations.
That the proposed hierarchical memories and hybrid reward reinforcement learning scheme will reliably balance exploration and exploitation in practice and that the experimental benchmarks and baselines used are representative of broader reasoning performance.
TMAS scales test-time compute in LLMs via multi-agent collaboration with experience banks, guideline banks, and hybrid reward training to achieve stronger iterative scaling on reasoning benchmarks than prior methods.
Formal links
Receipt and verification
| First computed | 2026-05-20T01:05:16.433044Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
306dddeb7d3b62812e27255d97539c0e03738612c36c970cafa8caf15b0bcc6f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GBW53235HNRICLRHEVOZOU44BY \
| 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: 306dddeb7d3b62812e27255d97539c0e03738612c36c970cafa8caf15b0bcc6f
Canonical record JSON
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