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README.md
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@@ -21,7 +21,7 @@ Verifier-Grounded Learning of an Open-Weight Planner for Executable Video-Editin
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brief, a real clip pool with schema-constrained captions and metadata, optional music metadata with beat
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tracks, the current timeline state, and an explicit **constraint ledger**; the planner emits a `RefinePatch`
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(RFC 6902-style JSON Patch over a typed timeline) and a deterministic verifier applies it and recomputes every
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ledger entry. Evaluation code and prompt: **https://github.com/Lancelot-wy/RefineCut**.
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brief, a real clip pool with schema-constrained captions and metadata, optional music metadata with beat
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tracks, the current timeline state, and an explicit **constraint ledger**; the planner emits a `RefinePatch`
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(RFC 6902-style JSON Patch over a typed timeline) and a deterministic verifier applies it and recomputes every
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ledger entry. Paper: **https://arxiv.org/abs/2608.25622** (EMNLP 2026 Main). Evaluation code and prompt: **https://github.com/Lancelot-wy/RefineCut**.
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