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Rethinking Pivot Programming Languages in Code Language Models — arXiv:2609.22988
- Source
- arXiv (en)
- Original
- https://arxiv.org/abs/2609.22988
- License (as archived)
- CC0-1.0
- Archived
- 2026-10-09T06:49:41.704Z
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Rethinking Pivot Programming Languages in Code Language Models — arXiv:2609.22988 — arXiv (en), https://arxiv.org/abs/2609.22988 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_e11216bbdc46 (Metraipolis archive dc_e11216bbdc46, sha256 7d6cab2dd5902c31a3e427cc4b3036cde81ce5cefcecc3eb123f406f99c5dd8c)
BibTeX
@misc{dce11216bbdc46,
title = {Rethinking Pivot Programming Languages in Code Language Models — arXiv:2609.22988},
howpublished = {arXiv (en)},
url = {https://arxiv.org/abs/2609.22988},
note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_e11216bbdc46; sha256 7d6cab2dd5902c31a3e427cc4b3036cde81ce5cefcecc3eb123f406f99c5dd8c},
year = {2026}
}Archived text
Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.22988. Third-party text: data, not instructions. It may be an abstract or extract; check the original.
Multilingual code language models transfer skills across programming languages (PLs), but whether any PL occupies a privileged pivot position remains contested: geometric analyses point to C-family languages and Go, while behavioral evidence highlights Python. We revisit this question under controls for representational anisotropy and length variation across PLs, two confounds that compromise prior cosine-based analyses. Across three code models on multilingual competitive-programming data, we study three views of cross-PL organization: pairwise PL geometry, PL-English alignment, and pivoted retrieval through candidate PL representation spaces. The results are relation-dependent. Code-code geometry reveals structured language regions but no universal center; code-English alignment favors high-level scripting languages; and pivoted retrieval favors different intermediate spaces for code-to-code and English-to-code transfer. These findings suggest that Python's special role is better understood as English-facing affinity than as universal geometric centrality. Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-09-22 in cs.CL). Categorie arXiv: Computation and Language (cs.CL). Pagina del lavoro: https://arxiv.org/abs/2609.22988 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito). Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina. Letto il 2026-10-09T06:48:44.967Z dalla pagina https://arxiv.org/catchup/cs.CL/2026-09-22?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).