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pith:WEUR63GC

pith:2026:WEUR63GCLWX24NJ42VP6JS2VQ6
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Behavior Cue Reasoning: Monitorable Reasoning Improves Efficiency and Safety through Oversight

Christopher Z. Cui, Prithviraj Ammanabrolu, Taylor W. Killian

Training LLMs to emit Behavior Cues before behaviors makes reasoning monitorable, allowing recovery of safe actions from 80% of unsafe traces and doubling success rates.

arxiv:2605.07021 v2 · 2026-05-07 · cs.AI

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1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

When leveraged by an almost optimal rule-based monitor in an environment where excessive constraint violations results in failure, Behavior Cue Reasoning allows for the recovery of safe actions from 80% of reasoning traces that would otherwise end with the proposal of an unsafe action, more than doubling the success rate from 46% to 96%.

C2weakest assumption

That LLMs can be reliably fine-tuned to emit Behavior Cues immediately before target behaviors without any degradation to core reasoning performance, and that a compressed cue-only view provides sufficient information for external monitors to make effective pruning or recovery decisions.

C3one line summary

Behavior Cue Reasoning trains LLMs to emit special tokens before behaviors, enabling monitors to prune up to 50% of wasted tokens and recover safe actions from 80% of unsafe traces, more than doubling success rates with no performance loss.

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-21T01:04:27.041460Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

b1291f6cc25dafae353cd55fe4cb5587a5c88c327317f6bd0f55a6acb47d95a6

Aliases

arxiv: 2605.07021 · arxiv_version: 2605.07021v2 · doi: 10.48550/arxiv.2605.07021 · pith_short_12: WEUR63GCLWX2 · pith_short_16: WEUR63GCLWX24NJ4 · pith_short_8: WEUR63GC
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WEUR63GCLWX24NJ42VP6JS2VQ6 \
  | 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: b1291f6cc25dafae353cd55fe4cb5587a5c88c327317f6bd0f55a6acb47d95a6
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-07T23:05:50Z",
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