Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
Abstract
Knowledge edits to language models are usually validated after the fact. This paper studies the reverse contract: a closed-form certificate, computed before an edit is applied, of exactly which single-token edits can succeed on a frozen decoder-only language model with an additive gated memory. The certificate reduces edit reachability to one-dimensional linear feasibility, doses each edit inside its certified interval, rescues certified-unreachable targets by residual synthesis, and emits verifiable receipts. All code, experiment scripts, and result artifacts: github.com/qriton/hlm5; model weights: huggingface.co/qriton/hlm5-1b-trunk. Version 1.1.0 (2026-10-02). Changes since 1.0.0:- Residual-synthesis rescue corrected from 17/17 to 15/17 (0.882) after the 2026-08-10 exact-sign certificate refresh; abstract and conclusion updated accordingly. A gate-matched logit bias is stronger on efficacy and matches on generalization and locality.- Certificate-predicts-editors: a registered confirmatory run on 600 untouched CounterFact records (gpt2-xl; ROME, MEMIT, FT) confirms all five registered tests after Holm correction, with small effects (|rho| = 0.11-0.18).- The earlier reading that certificate features predict neighborhood damage for ROME and GRACE is withdrawn: those correlations tracked the unedited model, not the edit. Collateral is now measured against the unedited model.
Supporting data, adapters, predictions and code for the article *Low-Cost LoRA Fine-Tuning of Small Language Models for Multi-Step Arithmetic Reasoning* by Jake O'Grady, Asena Isik Gürhan, Chee Fong Ting and Effirul Ramlan (University of Galway). We generated 20,000 GSM8K-derived arithmetic problems with step-by-step s...
O'Grady, Jake, Gürhan, Asena Isik, Chee, Fong Ting et al.· Zenodo (CERN European Organi...· 465 citations
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