| _version_ | 1866901830963822592 |
|---|---|
| author | Архитект VA |
| author_facet | Архитект VA |
| contents | <blockquote> <p>This study quantifies the "echo" of numeric primes in Large Language Models. We demonstrate that anchoring is not merely a localized error but a decaying signal that propagates through the autoregressive generation process in LLM.</p> </blockquote> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18728819 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Autoregressive Anchoring: Quantifying Numeric Persistence in Large Language Model Generation Архитект VA Large Language Machines <blockquote> <p>This study quantifies the "echo" of numeric primes in Large Language Models. We demonstrate that anchoring is not merely a localized error but a decaying signal that propagates through the autoregressive generation process in LLM.</p> </blockquote> |
| title | Autoregressive Anchoring: Quantifying Numeric Persistence in Large Language Model Generation |
| topic | Large Language Machines |
| url | https://doi.org/10.5281/zenodo.18728819 |