pith:ITC4BYKA
Cut Your Losses! Learning to Prune Paths Early for Efficient Parallel Reasoning
STOP is a new learnable internal path-pruning technique that improves efficiency and accuracy of parallel reasoning in LRMs under fixed compute budgets.
arxiv:2604.16029 v2 · 2026-04-17 · cs.CL · cs.LG
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\pithnumber{ITC4BYKARNPEUSSM6DA2CMSOA6}
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Record completeness
Claims
STOP achieves superior effectiveness and efficiency compared to existing baselines, for instance boosting GPT-OSS-20B accuracy on AIME25 from 84% to nearly 90% under fixed compute budgets.
That the proposed taxonomy is exhaustive and that learnable internal pruning signals can be trained reliably without introducing new failure modes or overfitting to the evaluation tasks.
STOP is a new learnable internal path-pruning technique that improves efficiency and accuracy of parallel reasoning in LRMs under fixed compute budgets.
Receipt and verification
| First computed | 2026-06-03T01:05:50.433121Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
44c5c0e1408b5e4a4a4cf0c1a1324e07813939d3b2d8b42eb12b5c7f7d89babb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ITC4BYKARNPEUSSM6DA2CMSOA6 \
| 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: 44c5c0e1408b5e4a4a4cf0c1a1324e07813939d3b2d8b42eb12b5c7f7d89babb
Canonical record JSON
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"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-04-17T13:00:22Z",
"title_canon_sha256": "327072fef90c93839b2905a218ae7bb48aa17a2ea093f9ba8b5324618c0d9c9f"
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