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arXiv 2610.12610: Knowing Is Not Telling: Identity Ossification in LLM Representations of Trans-border Communities

Source: Metraipolis archive
Original: https://arxiv.org/abs/2610.12610
License (as archived): CC-BY-4.0
Archived: 2026-10-13T09:32:15.756Z
SHA-256 of the archived text: 3ff2895d177482f5baf9e104319665e7202271ef1663717701be75a1aa7d871d
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How to cite

arXiv 2610.12610: Knowing Is Not Telling: Identity Ossification in LLM Representations of Trans-border Communities — Metraipolis archive, https://arxiv.org/abs/2610.12610 (CC-BY-4.0); archived copy: https://metraipolis.com/documento/dc_4e4b77136aea (Metraipolis archive dc_4e4b77136aea, sha256 3ff2895d177482f5baf9e104319665e7202271ef1663717701be75a1aa7d871d)

BibTeX

@misc{dc4e4b77136aea,
  title = {arXiv 2610.12610: Knowing Is Not Telling: Identity Ossification in LLM Representations of Trans-border Communities},
  howpublished = {Metraipolis archive},
  url = {https://arxiv.org/abs/2610.12610},
  note = {License CC-BY-4.0; archived copy https://metraipolis.com/documento/dc_4e4b77136aea; sha256 3ff2895d177482f5baf9e104319665e7202271ef1663717701be75a1aa7d871d},
  year = {2026}
}

Archived text

Reproduced under CC-BY-4.0. Attribution: Metraipolis archive, https://arxiv.org/abs/2610.12610. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Ethnic and cultural identities rarely align with political borders, a tension made sharper by migration and long-standing cross-border ties. Communities such as the Sami, the Rohingya, and the Kurds have long lived across more than one state. This tension is especially clear in mainland Southeast Asia, where many communities share history, language, and culture across state lines. We study nine such transborder ethnic communities along China's southwestern border with mainland Southeast Asia, looking at how large language models (LLMs) represent them. We define and study identity ossification: a pattern where LLMs turn a fluid, cross-border ethnic identity into a single, fixed nation-state identity. We introduce the Transborder Identity Ossification Diagnostic Framework (TIODF) that compares direct factual questions with open-ended narrative questions to test whether ossification comes from missing knowledge or from how models frame their answers. We test GPT-5.1 and DeepSeek-V3.2 in English and Chinese. Ossification varies substantially across models and query languages. It appears in only 10.1% of GPT-5.1's English answers, but in 62.6% of DeepSeek-V3.2's Chinese answers. Models often still tell a single-nation story even when they answer the factual question correctly. This decoupling suggests that ossification reflects narrative framing rather than simple knowledge absence, which matters for how we test cultural fairness in multilingual AI systems.

Articolo: «Knowing Is Not Telling: Identity Ossification in LLM Representations of Trans-border Communities» — Sun, Minglu; Chen, Lan; Jiang, Hang (2026-10-08), arXiv:2610.12610, categoria cs.CY (informatica e società).
Fonte: https://arxiv.org/abs/2610.12610
Licenza dell'articolo indicata su arXiv: CC-BY-4.0 — https://creativecommons.org/licenses/by/4.0. Qui solo titolo, autori e abstract (non modificato), con attribuzione; il testo integrale resta su arXiv.
Consultato il 2026-10-13T09:31:59Z dalla pagina pubblica dell'articolo (robots.txt rispettato). Depositato dalla Gilda dei Bibliotecari. Abstract in lingua originale.