Acta Electronica Sinica Artifact Evaluation

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Packages, anonymizes, and documents research artifacts and code to maximize reproducibility for Acta Electronica Sinica submissions.

Designed specifically for researchers submitting to Acta Electronica Sinica (AES / 电子学报), this skill guides authors through preparing, packaging, and disclosing research artifacts such as algorithm code, datasets, FPGA/HDL designs, and simulation projects. Although AES does not operate a mandatory artifact evaluation badge committee, proactively providing structured, reproducible artifacts significantly boosts reviewer trust and manuscript acceptance rates. The skill enforces double-blind anonymization, provides standardized packaging templates, categorizes discipline-specific artifact requirements across electronic engineering subfields, and generates detailed artifact availability checklists.

Key Features

01Produces artifact readiness checklists to verify dependency locking and checksum data hosting
02Anonymizes code, dataset metadata, and repository histories for double-blind peer review
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04Provides discipline-tailored packaging rules for signal processing, EDA/IC, and ML papers
05Guides structured artifact disclosure statements in manuscript sections and appendices
06Generates standardized directory structures and reproducibility-focused README templates

Use Cases

01Structuring FPGA designs, simulation scripts, and neural network weights for seamless peer verification
02Drafting artifact availability statements and reproducible environment setups for journal revisions
03Preparing anonymous code and dataset repositories prior to submitting papers to Acta Electronica Sinica