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pith:U2GPRN34

pith:2026:U2GPRN34O2GYARZJ26TNK44DDO
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CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves

Amirreza Mohseni, Mona Mohammadi, Morteza Saghafian, Naser Talebizadeh Saradari

Vision-language models recover exact containment trees from nested Jordan curves at only 71 percent accuracy on easy cases and 19 percent on hard cases.

arxiv:2605.14068 v1 · 2026-05-13 · cs.CV · cs.LG

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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

Despite the visual simplicity of the task, the strongest evaluated model, Gemini 3.1 Pro, achieves only 71.1% tree-generation accuracy on CurveBench-Easy and 19.1% on CurveBench-Hard.

C2weakest assumption

That the generated images and their tree annotations faithfully isolate topological containment reasoning without providing unintended low-level visual shortcuts or dataset-specific biases that models could exploit.

C3one line summary

CurveBench benchmark reveals that even leading VLMs like Gemini 3.1 Pro reach only 71.1% accuracy recovering containment trees on easy nested-curve images and 19.1% on hard versions, while fine-tuning lifts an open 8B model to 33.3% on easy cases.

References

44 extracted · 44 resolved · 10 Pith anchors

[1] Topographic Map Symbols , year =
[2] Jordan Theorem , year =
[3] Journal of Visual Languages and Computing , volume = 2014
[4] Findings of the Association for Computational Linguistics: ACL 2022 , pages = 2022
[5] Mathew, Minesh and Karatzas, Dimosthenis and Jawahar, C. V. , title =. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages =. 2021 , url = 2021

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Receipt and verification
First computed 2026-05-17T23:39:12.452745Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

a68cf8b77c768d804729d7a6d573831b8f3f6eae26abd474e5d76efecae0380b

Aliases

arxiv: 2605.14068 · arxiv_version: 2605.14068v1 · doi: 10.48550/arxiv.2605.14068 · pith_short_12: U2GPRN34O2GY · pith_short_16: U2GPRN34O2GYARZJ · pith_short_8: U2GPRN34
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/U2GPRN34O2GYARZJ26TNK44DDO \
  | 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: a68cf8b77c768d804729d7a6d573831b8f3f6eae26abd474e5d76efecae0380b
Canonical record JSON
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