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#1631: a malformed LLM chunk (a stray non-dict entry in edges/nodes/hyperedges) crashed the AST+semantic merge and the semantic-cache write with `AttributeError: 'list' object has no attribute 'get'`, discarding every successful chunk and writing no graph.json. `_parse_llm_json` now sanitizes each fragment at the single parse chokepoint (dict entries only; non-list values coerced to []), protecting the cache writer, the adaptive-retry merge, and the CLI merge in one place. #1638: an unresolved bare npm import (`import colors from "tailwindcss/colors"`) emitted an imports_from edge to the bare id `colors`, which build.py's pre-migration alias index then remapped onto an unrelated local file of that stem (backend/utils/colors.py) - a confident EXTRACTED cross-language phantom edge, one per importing file. The external-import fallback now namespaces its target with the `ref` prefix (the J-4 convention), so it can never collapse to a local node id; the ref target has no node, so build drops it as an external reference. #1632: with a parallel LLM backend, extract_corpus_parallel merged chunk results in completion order, so which network call returned first reordered nodes/edges run-to-run even when the model returned identical content - churning graph.json. Chunks are now merged in deterministic submission order after the pool drains (matching the serial path); the progress callback still fires in completion order. The model's own content variance is unchanged (irreducible). Full suite: 2882 passed, 3 skipped. Validated end-to-end via a local wheel build on a mixed TS+Python corpus: `explain colors.py` shows only the real importer, and graph.json is byte-identical across repeated runs. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>