Pith Number

pith:VGH4GKH4

pith:2026:VGH4GKH4GKCI4ODDSOMW6I3V5C

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DiagEval: Trajectory-Conditioned Diagnosis for Reliable Software Evaluation with GUI Agents

Chenglin Wu, Sirui Hong, Tengfei Li, Wei Tao, Yifan Wu, Zhijie Liu

Trajectory-conditioned diagnostic probes recover 45-62 percent of failures misattributed to software defects in GUI-agent evaluations.

arxiv:2605.17439 v1 · 2026-05-17 · cs.SE · cs.AI

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Claims

C1strongest claim

On false-negative cases, DiagEval recovers 45.6-62.1% of failures that were initially misattributed to software defects, outperforming retry-based baselines with 34.4-160.6% relative gains. On the full evaluation sets, this recovery improves accuracy from 69.9% to 78.3% on WebDevJudge-Unit and from 65.0% to 81.6% on RealDevBench.

C2weakest assumption

That targeted diagnostic probes chosen from the failed trajectory can produce an attribution signal that reliably separates evaluator-side execution errors from genuine software defects, without requiring reconstruction of the full latent state-transition graph or calibrated posteriors.

C3one line summary

DiagEval is a new diagnostic protocol that conditions on failed trajectories to attribute GUI-agent evaluation failures, recovering 45-62% of misattributed cases and lifting accuracy 8-16 points on two benchmarks.

References

61 extracted · 61 resolved · 9 Pith anchors

[1] Proceedings of the International Conference on Learning Representations (ICLR) , year=

[2] Tianbao Xie and Danyang Zhang and Jixuan Chen and Xiaochuan Li and Siheng Zhao and Ruisheng Cao and Toh Jing Hua and Zhoujun Cheng and Dongchan Shin and Fangyu Lei and Yitao Liu and Yiheng Xu and Shuy 2024

[3] Proceedings of the International Conference on Learning Representations (ICLR) , year=

[4] 2025 , url = 2025

[5] Advances in Neural Information Processing Systems (NeurIPS) , year=

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:04:38.914858Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a98fc328fc32848e386393996f2375e880d106ea1d335d67386858fdef045956

Aliases

arxiv: 2605.17439 · arxiv_version: 2605.17439v1 · doi: 10.48550/arxiv.2605.17439 · pith_short_12: VGH4GKH4GKCI · pith_short_16: VGH4GKH4GKCI4ODD · pith_short_8: VGH4GKH4

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/VGH4GKH4GKCI4ODDSOMW6I3V5C \
  | 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: a98fc328fc32848e386393996f2375e880d106ea1d335d67386858fdef045956

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "7b2f0dbb00e3b0e9acb1cb12f2f4f0bda3919442953ac9bb3c084243f8d2a51b",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.SE",
    "submitted_at": "2026-05-17T13:22:22Z",
    "title_canon_sha256": "d9eff041f6321d1b73436f9d7179e1a1f664030a60a60027bd085455130cfb58"
  },
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  "source": {
    "id": "2605.17439",
    "kind": "arxiv",
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}