X1.1 - Unitization and Geometry Metadata Across Modalities
A derivation- and implementation-oriented study of how images, documents, audio, video, tools, and actions become addressable units with aligned spatial, temporal, and structural metadata.
A derivation- and implementation-oriented study of how images, documents, audio, video, tools, and actions become addressable units with aligned spatial, temporal, and structural metadata.
A derivation- and implementation-oriented comparison of modality encoders, linear and nonlinear projectors, learned-query resamplers, prefix fusion, gated cross-attention, and their training and runtime contracts.
A tensor- and state-machine study of multimodal placeholder expansion, sequence packing, attention and loss masks, training stages, prefill/decode execution, media caching, batching, and safe reuse.