H2 Spatial Tax Pilot: Indentation vs. Explicit Delimiters in Causal Language Models

Pre-registration specification for the H2 Spatial Tax pilot study evaluating scope-closing failure rates in Qwen2.5-Coder-1.5B-Instruct across indentation-only and explicit delimiter conditions. Frozen prior to test task and model generation. Permanent Git tag: prereg-pilot-frozen. ---AI Assistance Statement:The author acknowledges the use of AI language assistance during the preparation of this pre-registration document for language refinement, structuring, and English grammar assistance. The research design, hypotheses, parameters, and final specifications were directed, verified, and approved by the author.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-01
DOI
https://doi.org/10.5281/zenodo.23844167
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
0.00
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article

H2 Spatial Tax Pilot: Indentation vs. Explicit Delimiters in Causal Language Models

Aniket Sarkar
Zenodo (CERN European Organization for Nuclear Research)
Software Engineering Research
article

H2 Spatial Tax Pilot: Indentation vs. Explicit Delimiters in Causal Language Models

Aniket Sarkar
article en

Abstract

Pre-registration specification for the H2 Spatial Tax pilot study evaluating scope-closing failure rates in Qwen2.5-Coder-1.5B-Instruct across indentation-only and explicit delimiter conditions. Frozen prior to test task and model generation. Permanent Git tag: prereg-pilot-frozen. ---AI Assistance Statement:The author acknowledges the use of AI language assistance during the preparation of this pre-registration document for language refinement, structuring, and English grammar assistance. The research design, hypotheses, parameters, and final specifications were directed, verified, and approved by the author.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 6%
Software Engineering Research
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