Pith Number

pith:3IE37OUW

pith:2026:3IE37OUWYPQSMRHFCUPUEWNUNH

not attested not anchored not stored refs pending

Evaluating the False Trust Engendered by LLM Explanations

Subbarao Kambhampati, Upasana Biswas, Vardhan Palod

Reasoning traces and post-hoc explanations from LLMs increase user acceptance of answers whether correct or incorrect, while only dual explanations improve users' ability to tell the difference.

arxiv:2605.10930 v2 · 2026-05-11 · cs.HC

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\usepackage{pith}
\pithnumber{3IE37OUWYPQSMRHFCUPUEWNUNH}

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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

reasoning traces and post-hoc explanations are persuasive but not informative: they increase user acceptance of LLM predictions regardless of their correctness. In contrast, dual explanation is the only condition that genuinely improves users' ability to distinguish correct from incorrect AI outputs.

C2weakest assumption

The assumption that the simulated setting where users do not have the means to verify the solution and the between-subject design with chosen tasks accurately measures real-world false trust and generalizes to critical task scenarios.

C3one line summary

A user study finds that LLM reasoning traces and post-hoc explanations create false trust by increasing acceptance of incorrect answers, whereas contrastive dual explanations improve users' ability to detect errors.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:02:13.021655Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

da09bfba96c3e12644e5151f4259b469f1c21782d961719cb7da537a89e82b24

Aliases

arxiv: 2605.10930 · arxiv_version: 2605.10930v2 · doi: 10.48550/arxiv.2605.10930 · pith_short_12: 3IE37OUWYPQS · pith_short_16: 3IE37OUWYPQSMRHF · pith_short_8: 3IE37OUW

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/3IE37OUWYPQSMRHFCUPUEWNUNH \
  | 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: da09bfba96c3e12644e5151f4259b469f1c21782d961719cb7da537a89e82b24

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f327e1a5cd50f6f794e5f5a33856736c2448fde57f4076fd38948968298636e0",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.HC",
    "submitted_at": "2026-05-11T17:58:12Z",
    "title_canon_sha256": "c5626129d5149c04c92db68bbdb213b16d502872d5a74a69ce93174d5183fc4b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.10930",
    "kind": "arxiv",
    "version": 2
  }
}