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Web3AI4IO

Code and schemas for a provenance-aware launchpad study: four-chain dataset construction, identification checks, real applications, calibrated experiments, and paper-artifact reproduction.

Bulk tables are not stored in this Git tree. The public dataset is kl41r3/web3ai4io-multichain-launchpad on Hugging Face.

Quick start

uv sync --frozen
make reproduce

This regenerates empirical tables and figures from archived summaries, writes the artifact manifest and checksums, and checks manuscript numbers. It does not re-query chain data or call a model API.

Command Output
make reproduce archived summaries, tables, figures, checksums, tests
make figures empirical charts in ../paper/figs
make tables tab_data_scope.tex and tab_claim_evidence.tex
make paper compile the adjacent manuscript
make verify files, checksums, sample counts, identity scan
make all reproduce then compile

See REPRODUCIBILITY.md and DATA_CARD.md.

Layout

dataset/           builders, schemas, event layer, release manifests
identification/    event registry, design checks, S1–S5 experiments
application/       PumpSwap applications, prompts, and plots
reproduction/      paper tables, figures, manifest, and tests
data/              local source pointers; generated tables are gitignored

Paper source lives at ../paper/ and is not part of this repository.

Dataset build

With local source bundles present:

dataset/.venv/bin/python dataset/scripts/build_solana_core.py
dataset/.venv/bin/python dataset/scripts/build_crosschain_core.py
dataset/.venv/bin/python dataset/scripts/build_events.py
PYTHONPATH=dataset/src dataset/.venv/bin/python -m pytest dataset/tests

Canonical Parquet output is written under data/canonical/. See dataset/README.md.

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