Public handling: selected full-text prompt with secret filtering.
Prompt Text
Literature scout for TGL-Rec method upgrade. Read docs/codex_project_memory.md, docs/phase10_master_plan.md, docs/method_card_time_graph_evidence.md, docs/reference_method_adaptation_map.md. Also inspect local reference cards if useful. Task: propose non-stitched, original method upgrade ideas for TGL-Rec by comparing against multiple top-tier recommendation/LLM4Rec/dynamic graph projects, not only the current senior baselines. Focus on mechanisms that improve rigor, technical depth, and expected performance: temporal need modeling, dynamic graph/state, contrastive semantic-vs-transition disentanglement, candidate-grounded LLM training, ablations. Do not edit files. Return concise recommendations and what must be implemented/tested before experiments can end.
Reuse Notes
EXTRACTED: This is a selected Codex prompt or automation prompt from the local Codex corpus.
INFERRED: Future agents can reuse its structure, constraints, and acceptance criteria when creating similar Codex workflows.