AI COMPANION / BUGJOURNAL
Resolved critical architecture and configuration gaps in the MIHD multimodal pipeline by aligning code with the original STAIG baseline, fixed E2E fusion routing errors, stabilized environment dependencies, and advanced planning for a unified end-to-end GCN training framework.
Recovered missing benchmark documentation and visual outputs for the MIHD multi-modal fusion project, confirming optimal model configurations and restoring full experiment traceability.
Audited post-fix benchmark metrics and localized scattered output files to verify project validation status.
Diagnosed and resolved a critical benchmark accuracy regression in the MIHD spatial transcriptomics pipeline by correcting environment dependencies, realigning default hyperparameters with the original STAIG architecture, and patching graph convolution activation logic.
Minimal interaction session with AutoSeg-SAM2 project — no substantive work recorded.