Environment evidence
Historical Kaggle export
The participant supplied notebook09f65026da.ipynb, copied unchanged under training/evidence/. Its metadata records Python 3.13.15 and Kaggle docker image version ID 28755. Metadata records no active accelerator at export, while the setup cell and run outputs describe two T4-backed Ollama servers. The freeze output includes torch 2.11.0+cu128, transformers 5.16.1, and accelerate 1.14.0; the complete observed subset is in training/evidence/requirements.original-kaggle-observed.txt. These packages do not implement the shown inference: those requests use Python's standard-library HTTP client and the Ollama server. The freeze cell's execution count does not prove these versions were present for every earlier pass.
No historical Ollama server version, complete model digest, complete pip freeze, or full-run wall time is contained in the supplied notebook export. A subsequent participant-provided Kaggle diagnostic reports Ollama server 0.40.12 on both ports 11434 and 11435. Neither server had a model loaded at that diagnostic. This establishes the inspected version, not the version of every earlier pass.
Current Mac inspection
The installed Ollama client reports 0.40.7; there was no running server during inspection. This is not proof of the server version used for the submitted Mac predictions. model_manifest.json records the local model manifest hash and component inventory observed on 28 October 2026.
Reconstruction test environment
The cleaned replay and metadata checks use an isolated Python environment. requirements.txt pins huggingface_hub==2.3.0, the package tested for dataset access during packaging, not an assertion about original Kaggle versions. The resolved packages are in training/evidence/requirements.packaging-check.txt.
Ollama is a separate system dependency. The original notebook installs it from https://ollama.com/install.sh and downloads gemma4:e4b; both moving references need exact version/model identity evidence. The runner checks for a provisioned server/model and does not silently install a different one. This leaves a setup discrepancy against the provided Hugging-Face-only template; organiser approval or a verified equivalent packaging path is still needed.