XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks | Paper Citation Record

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This paper cites MultiZebraLogic: A Multilingual Logical Reasoning Benchmark.

XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks MultiZebraLogic: A Multilingual Logical Reasoning Benchmark

Reference 1

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Observation d16537a4-9c48-45a7-82be-8559ebcbae76 · outbound

This paper cites ArXiv preprint, abs/2603.10793.

XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks ArXiv preprint, abs/2603.10793

Reference 2

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Observation 676650a6-1bc4-4179-89aa-5607baf8eab6 · outbound

This paper cites Resyn: Autonomously scaling synthetic environments for reasoning models.

XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks Resyn: Autonomously scaling synthetic environments for reasoning models

Reference 3

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This paper cites BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models.

XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models

Reference 4

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This paper cites Reasoning gym: Reasoning environments for reinforcement learning with verifiable rewards.arXiv preprint arXiv:2505.24760.

XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks Reasoning gym: Reasoning environments for reinforcement learning with verifiable rewards.arXiv preprint arXiv:2505.24760

Reference 5

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This paper cites The Bitter Lesson Learned from 2,000+ Multilingual Benchmarks.

XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks The Bitter Lesson Learned from 2,000+ Multilingual Benchmarks

Reference 6

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XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks Unresolved cited work

Reference 7

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XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks Unresolved cited work

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XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks Unresolved cited work

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XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks Unresolved cited work

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XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks Unresolved cited work

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This paper cites Step 2: Parallel Bypass Chains.

XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks Step 2: Parallel Bypass Chains

Reference 12

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This paper cites , nc: • Allocate d + ce − 1 fresh nodes: cj 1, cj 2,.

XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks , nc: • Allocate d + ce − 1 fresh nodes: cj 1, cj 2,

Reference 13

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This paper cites Step 3: Cross-Wiring Noise Edges.

XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks Step 3: Cross-Wiring Noise Edges

Reference 14

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This paper cites For each chain node u, consider two types of partners: • Chain–chain pairs: For each other chain node v: – Same chain: allow if depth gap > 1 and ≤ ce.

XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks For each chain node u, consider two types of partners: • Chain–chain pairs: For each other chain node v: – Same chain: allow if depth gap > 1 and ≤ ce

Reference 15

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This paper cites Shuffle candidates, then for each (u, v) sampled with probability ρ: • Compute dists(u) + 1 + distt(v) and dists(v) + 1 + distt(u).

XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks Shuffle candidates, then for each (u, v) sampled with probability ρ: • Compute dists(u) + 1 + distt(v) and dists(v) + 1 + distt(u)

Reference 16

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XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks Verify shortest path length = d

Reference 17

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This paper cites Verify exactly 1 unique shortest path exists.

XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks Verify exactly 1 unique shortest path exists

Reference 18

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XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks EN- GLISH_GROUNDTRUTH

Reference 20

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This paper cites {lang_id}_TRANSLATION.

XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks {lang_id}_TRANSLATION

Reference 21

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XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks Translation OK

Reference 22

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XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks Trans- lation OK

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XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks state”: “Room D6881

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XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks IMPORTANT: Y our response must be a sin- gle valid JSON object and nothing else

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XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks IMPORTANT: Y our response must be a single valid JSON object and nothing else

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XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks IMPOR- TANT: Y our response must be a single valid JSON object and nothing else

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XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks IMPORTANT: Y our response must be a single valid JSON object and nothing else

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Reference 80

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Reference 83

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Reference 84

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Reference 91

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Reference 92

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Reference 93

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Reference 96

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Reference 97

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Reference 98

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Outbound references

Pith citing papers