fix T-ALNS-RRD reproduction fidelity

PROGRESS.md

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+# PROGRESS
+
+## 2026-06-02 T-ALNS-RRD reproduction fidelity fix
+
+### Findings addressed
+- The route travel component previously counted route elapsed time, which included waiting and service duration, instead of only `sum t_ij(T_i)` from the paper objective.
+- RRD event generation and rollout used unseeded RNGs, so the same algorithm seed could produce different event streams and dispatch outcomes.
+- Traffic incidents mutated the shared traffic tensor during detection, which could leak into later evaluations when an event was not dispatched.
+- Rollout Tabu adjustment used the wrong sign for a cost-minimizing score: Tabu actions were rewarded and non-Tabu actions were penalized.
+- Urgent-order actions could insert a negative placeholder node into fixed-size traffic tensors, causing invalid route evaluation.
+- T-ALNS traffic aspiration did not compare against the current solution, and frequency memory did not use congestion-weighted updates from Eq.34.
+
+### Changes made
+- Corrected Eq.1 cost accounting so travel cost is only arc traversal time; waiting and service remain part of time propagation.
+- Documented hold-last-value traffic bucket behavior for customer windows after the paper's 6:00-18:00 traffic horizon.
+- Restored congestion penalty generation to Eq.9 semantics: `rho = theta * gamma`.
+- Threaded deterministic seeds through `EventGenerator`, `RolloutEngine`, and `Dispatch`.
+- Made traffic incident severity temporary during dispatch evaluation and restored the base tensor with `try/finally`.
+- Corrected rollout Tabu penalty/bonus direction for a cost-minimizing dispatch value.
+- Reworked unsupported urgent-order insertion into fixed-graph penalty actions instead of invalid synthetic nodes.
+- Added congestion-weighted frequency memory updates and current-solution traffic aspiration checks.
+- Added `configs/paper.yaml` as the canonical paper-aligned server experiment config.
+
+### Local validation
+- Per user instruction, no local Python tests, smoke tests, or full experiments were run in this round.
+- Static review only: inspect source changes, config shape, and git diff before commit.
+
+### Server run command
+```bash
+cd t_alns_rrd_reproduction
+pip install -r requirements.txt
+python src/experiments/run_main_comparison.py --config paper --seeds 30 --iterations 1000 --time-limit 600 --output results/paper_fixed
+```
+
+### Expected server outputs
+- `results/paper_fixed/tables/main_comparison.csv`
+- `results/paper_fixed/tables/per_seed_costs.csv`
+- `results/paper_fixed/tables/statistical_tests.csv`
+- `results/paper_fixed/logs/convergence.npz`
+
+### Interpretation rule
+- Check whether Static > TA-Greedy > ALNS-Base > T-ALNS > T-ALNS-RRD in total cost, CES decreases, and OTDR improves.
+- If the paper trend is not reproduced, keep the generated tables and record the failed metrics honestly instead of tuning results by hand.