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Pith Number

pith:66PDSP3G

pith:2026:66PDSP3G4NIBWALESZ62474ERC
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Sell Me This Stock: Unsafe Recommendation Drift in LLM Agents

Adriano Koshiyama, Maria Perez-Ortiz, Sahan Bulathwela, Zekun Wu

LLM recommendation agents keep giving unsuitable financial advice when tool data is wrong, with stronger models violating suitability most often.

arxiv:2603.12564 v8 · 2026-03-13 · cs.CL · cs.AI

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\pithnumber{66PDSP3G4NIBWALESZ62474ERC}

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

Stronger models are not safer: the best-performing model has the highest quality score yet the worst suitability violations (99.1% of turns). This points to an alignment-grounding tension where faithful grounding in tool data makes the agent the most reliable executor of bad data.

C2weakest assumption

That the specific tool data manipulations used in the 23-turn replays are representative of realistic errors an agent might encounter, and that sparse autoencoder probing reliably indicates internal detection without corresponding output changes.

C3one line summary

LLM agents exhibit evaluation blindness in multi-turn financial advice, with stronger models showing up to 99.1% suitability violations when tool data is manipulated, as internal detection fails to produce safer outputs.

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-27T01:04:57.105296Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f79e393f66e3501b0164967dae7f8488b63c3004c84f583f65a5526574ac2e8a

Aliases

arxiv: 2603.12564 · arxiv_version: 2603.12564v8 · doi: 10.48550/arxiv.2603.12564 · pith_short_12: 66PDSP3G4NIB · pith_short_16: 66PDSP3G4NIBWALE · pith_short_8: 66PDSP3G
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/66PDSP3G4NIBWALESZ62474ERC \
  | 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: f79e393f66e3501b0164967dae7f8488b63c3004c84f583f65a5526574ac2e8a
Canonical record JSON
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      "cs.AI"
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    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-03-13T01:54:00Z",
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