Tensor Extraction of Latent Features (T-ELF)

v0.0.44 adds new pipeline blocks including spacey NER block, semantic hnmfk block, collect hnmfk leaf block, peacock stats block, beaver codependency matrix block, ocelot filter block, wolf block, and sbatch block, along with supporting helpers such as KernelServer, affiliation and author partitioners, hnmfk paths, and peacock renderer, delivers a full Termite application stack for knowledge graph and vector workflows with Neo4j injection through DataInjector and constants, pluggable embedding stores for Milvus and OpenSearch, vector injection, and corresponding pipeline blocks termite neo4j block and termite vector block, updates the Lynx frontend with a document view and a new project data loader, switches post install to the telf post install console script in place of the python post install script with updated examples and HPC flags, refines preprocessing and factorization with fixes including an Orca update to better handle missing affiliations, introduces versioning and archiving scripts under a new post install package, and expands .gitignore to exclude additional caches, example outputs, and backup files.