Skip to content
VARZINIndependent research
Menu
Research record / Preprint

Morphological Hijacking in Frozen Language Models: A Contrastive, Symmetry-Regularized Projection Head for Algebraic Structure Recovery — v1

v1 establishes the experimental separation between frozen surface-form dominance and an explicit trained remediation. Any recovery after training is an intervention result, not spontaneous structure discovery by the frozen backbone.

v12026-09-02ZenodoPreprint
Evidence status

Intervention study: frozen-model failure and trained remediation must remain separate claims. Publication status: Preprint; Zenodo record explicitly states not yet peer-reviewed.

01 / question

Research question and current reading.

Research question

When surface morphology conflicts with a task-relevant algebraic structure, what do frozen model representations recover, and can an explicit trainable intervention change that geometry?

v1 establishes the experimental separation between frozen surface-form dominance and an explicit trained remediation. Any recovery after training is an intervention result, not spontaneous structure discovery by the frozen backbone.

02 / methods

What was actually tested.

  • Adversarial LUXVAR Core-30 with algebraic target labels placed in conflict with salient surface prefixes.
  • Frozen hidden-state extraction and k-means baseline scored by orbit ARI and Prefix Hijacking Ratio.
  • Frozen-backbone attention/projection head trained with supervised contrastive loss, hard negatives, symmetry regularization, rogue-dimension ablation, and Soft-PCA initialization.
  • Held-out, cross-script, word-order, and related stress tests; later versions add explicit group-position and composition controls.
03 / results

Strongest supported findings.

  • Across the reported frozen baselines, surface-prefix structure dominates the adversarial clustering task while target algebraic/orbit recovery collapses.
  • The trained projection-head recipe substantially improves target-structure recovery and is checked with both discrete clustering and continuous geometry metrics.
  • The record extends beyond the synthetic core with natural-language and expanded-lexicon follow-ups, but remains a preliminary scoped study.
05 / falsification

Negative findings are part of the result.

  • The “globally architectural anisotropy” interpretation was weakened/rejected by larger-model replication.
  • A plausible best-raw-margin layer-selection heuristic did not improve training and is retained as a negative result.
06 / limits

What this record does not establish.

  • Synthetic adversarial design; no claim of general applicability to all transformer representations.
  • Training changes the task: successful remediation is not evidence that the frozen model independently recovered the intended structure.

Boundary: a Zenodo deposit is a citable public record; it does not by itself imply peer review, independent validation, causal inference, or generalization beyond the documented experiment.

07 / reproducibility

Full text, code, data, and provenance.

  • Zenodo v1 exposes a version-specific research PDF and a version-specific ZIP code/paper package.
  • Public package checksum: md5:b821b931091109e40c4a60617f9a2d79.
  • The page links the exact versioned DOI rather than silently treating later versions as replacements.
Full text

LUXVAR_morphological_hijacking.pdf

paper · 302.29 KB · md5:22d5c543eabeed51a980da30772de0dc

Open archived file ↗
Code / data

luxvar_code_and_paper.zip

code-package · 382.70 KB · md5:b821b931091109e40c4a60617f9a2d79

Open archived file ↗

Zenodo REST metadata, public file inventory, sizes, and checksums re-verified 2026-09-14 for v1.

08 / citation

Canonical version-specific record.

DOI

10.5281/zenodo.22258644

Nirouyar, R. (2026). Morphological Hijacking in Frozen Language Models: A Contrastive, Symmetry-Regularized Projection Head for Algebraic Structure Recovery (Version v1). Zenodo.

09 / repository metadata

Verified repository identity.

Creator as deposited

Nirouyar, Reza

Normalized project identity: Reza Nirouyar · ORCID 0009-0000-4690-6842.

Published

2026-09-02

Version v1 · Preprint · open access.

License

CC BY 4.0

Reported only when present in verified Zenodo metadata.

Zenodo metadata identifies this item as an open-access preprint published on 2026-09-02 under CC BY 4.0.

10 / version provenance

Keep this deposit distinct from later interpretation.

The record frames morphological hijacking as a representational failure mode and tests an explicit projection-head remediation. Any post-training recovery belongs to the intervention result; it is not evidence that the unmodified frozen model spontaneously encoded the target structure in a directly usable form.

Version v1 is preserved as the first public version-specific record in this series. Later v2 and v3 deposits are separate citable records rather than silent replacements.

Current series interpretation: this version remains citable as a fixed historical record, but the later v3 deposit is the primary source for the current interpretation of this experimental line.

Related versionsv2 recordv3 record