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Pith Number

pith:KRURCHS2

pith:2026:KRURCHS2GBTGSJX4J6UYS2DE6E
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Stop Listening to Me! How Multi-turn Conversations Can Degrade LLM Reliability

Avinash Baidya, Bradley A. Malin, Chao Yan, Juming Xiong, Katherine Brown, Kevin H. Guo, Xiang Gao, Zhijun Yin

Multi-turn conversations cause LLMs to abandon correct medical diagnoses for incorrect user suggestions.

arxiv:2603.11394 v3 · 2026-03-12 · cs.CL · cs.AI · cs.LG

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\usepackage{pith}
\pithnumber{KRURCHS2GBTGSJX4J6UYS2DE6E}

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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

Our experiments reveal the conversation tax, where multi-turn interactions consistently degrade performance when compared to single-shot baselines. Notably, models frequently abandon initial correct diagnoses and safe abstentions to align with incorrect user suggestions.

C2weakest assumption

The simulated multi-turn conversations and stick-or-switch metrics accurately reflect real-world patient-clinician chatbot interactions without introducing artificial biases in how suggestions are introduced.

C3one line summary

Multi-turn conversations degrade LLM diagnostic performance by causing models to abandon correct diagnoses in favor of incorrect user suggestions.

Receipt and verification
First computed 2026-05-27T02:05:13.439776Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

5469111e5a30666926fc4fa9896864f1379fff4f6d777bf774ea27b403dd75b6

Aliases

arxiv: 2603.11394 · arxiv_version: 2603.11394v3 · doi: 10.48550/arxiv.2603.11394 · pith_short_12: KRURCHS2GBTG · pith_short_16: KRURCHS2GBTGSJX4 · pith_short_8: KRURCHS2
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KRURCHS2GBTGSJX4J6UYS2DE6E \
  | 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: 5469111e5a30666926fc4fa9896864f1379fff4f6d777bf774ea27b403dd75b6
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "3fe74b62cb43273b4d19be46a8b18367d42dfba0fa3adcbe640bf3d785920414",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-03-12T00:14:35Z",
    "title_canon_sha256": "e4e781e15cbe2e44c9a6cd4082e830eb0a62f3d6a9df551ff7f3680489321768"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2603.11394",
    "kind": "arxiv",
    "version": 3
  }
}