diff --git a/v2/exp_d_policy_dispatch/README.md b/v2/exp_d_policy_dispatch/README.md
new file mode 100644
index 0000000..c74de29
--- /dev/null
+++ b/v2/exp_d_policy_dispatch/README.md
@@ -0,0 +1,114 @@
+# exp (d) — 5-policy routing under `tracets` vs `thinktime`
+
+exp (c) showed the **dispatch mode** changes measured performance for a single
+round-robin policy, and predicted: *"a cache-aware policy (LPWL) would lower the
+latencies and likely **widen** the thinktime advantage."* exp (d) tests that with
+the full routing comparison — and finds something stronger: **the dispatch mode
+flips which policy wins.**
+
+**Question.** Does the parameter-free LPWL still beat the tuned `unified+A+B`
+baseline once we benchmark with the *faithful* `thinktime` load instead of the
+`tracets` burst artifact?
+
+## Setup
+
+5 routing policies, each its own **fresh vLLM (cold APC)** on dash0 8×H20,
+Qwen3-Coder-30B-A3B, via `scripts/b3_isolated_policy.sh`. **Both dispatch modes
+run on the *same* trace** `traces/w600_r0.0015_st30_first600s_ttp.jsonl` (807
+reqs, 274 sessions) — the only variable is `REPLAY_DISPATCH_MODE`
+(`tracets` ignores the `time_to_parent_chat` field, `thinktime` consumes it).
+Analyzer: `scripts/bench_report.py` (summaries in `results/`).
+
+- `leastwork` — **LPWL**, parameter-free (`pending_prefill + max(0, input−cache_hit)`)
+- `unified_ab` — unified hybrid, tuned A+B′ (`of=1.3, lmw=0.01`)
+- `unified_def` — unified hybrid, defaults (`of=2.0, lmw=0.0`)
+- `lmetric` — P_tokens × BS, no affinity
+- `sticky` — hard session affinity
+
+## Result (ms; `figs/exp_d_policy_dispatch.png`)
+
+| policy | mode | TTFT p90 | E2E mean | E2E p90 | E2E p99 | TPOT p90 | APC | req-bal |
+|---|---|---:|---:|---:|---:|---:|---:|---:|
+| **LPWL** | tracets | 11099 | 9827 | 25366 | 93929 | 33 | 0.650 | **1.49×** |
+| **LPWL** | **thinktime** | **6713** | **6788** | **17635** | 69946 | **18** | 0.676 | 1.94× |
+| unified+A+B | tracets | 10783 | 8531 | 22063 | 75419 | 21 | 0.667 | 1.54× |
+| unified+A+B | thinktime | 9736 | 7131 | 18690 | **63788** | 19 | 0.676 | 2.16× |
+| unified default | tracets | 12997 | 8366 | 22819 | 82257 | 20 | 0.693 | 1.56× |
+| unified default | thinktime | 11268 | 7975 | 24096 | 72334 | 22 | 0.693 | 2.91× |
+| LMetric | tracets | 16492 | 10775 | 27791 | 99231 | 39 | 0.495 | 2.19× |
+| LMetric | thinktime | 15607 | 9902 | 27819 | 73672 | 30 | 0.483 | 2.10× |
+| sticky | tracets | 15236 | 10139 | 27974 | 82362 | 31 | 0.693 | 2.06× |
+| sticky | thinktime | 14838 | 8663 | 24966 | 70933 | 24 | 0.694 | 2.48× |
+
+### Finding 1 — `thinktime` helps every policy, but helps **LPWL the most**
+
+Per-policy `tracets`→`thinktime` change (negative = thinktime better):
+
+| policy | ΔTTFT p90 | ΔE2E mean | ΔTPOT p90 |
+|---|---:|---:|---:|
+| **LPWL** | **−40%** | **−31%** | **−45%** |
+| unified+A+B | −10% | −16% | −10% |
+| unified default | −13% | −5% | +10% |
+| LMetric | −5% | −8% | −23% |
+| sticky | −3% | −15% | −23% |
+
+`tracets` collapses the inter-turn think-time to ~0 (exp c), manufacturing bursts
+→ peak concurrency → KV pressure → preemption. Those bursts punish exactly the
+policy that spreads prefill thinly across hosts (LPWL keeps the tightest request
+balance, 1.49×), because under a burst the spread sacrifices locality without the
+slack to amortize it. Remove the artifact and LPWL's prefill-aware placement pays.
+
+### Finding 2 — the dispatch mode **flips the cross-policy ranking**
+
+- **TTFT p90:** `tracets` → `unified_ab (10.8s) ≈ LPWL (11.1s)` — LPWL only *ties*,
+  even slightly behind. `thinktime` → **LPWL (6.7s)** < unified_ab (9.7s): LPWL is
+  first, **−31%** vs the tuned baseline.
+- **E2E mean:** `tracets` → unified_def (8.4s) < unified_ab (8.5s) < **LPWL (9.8s)**
+  — LPWL is *3rd, behind both unified variants*. `thinktime` → **LPWL (6.8s)** <
+  unified_ab (7.1s) < unified_def (8.0s): LPWL is **first**.
+
+So under artificial `tracets` bursts the parameter-free policy looks tied-or-worse;
+under the faithful `thinktime` load it is the clear winner on TTFT and E2E, at
+zero knobs and best balance.
+
+## Conclusion
+
+**Benchmark agentic routing with `thinktime`. Under it, the parameter-free LPWL is
+the best of the five policies** — TTFT p90 −31%, E2E mean −5% / p90 −6%, best TPOT,
+tightest balance vs the *tuned* `unified+A+B` — and the `tracets` burst artifact is
+precisely what erases that advantage (it even drops LPWL to 3rd on E2E). This both
+confirms exp (c)'s prediction and is independent evidence for the GPU-hit-first
+routing story: faithful load rewards keeping the active working set GPU-resident.
+
+## Caveats
+
+- **n = 1 per arm.** The `tracets` ranking here does **not** reproduce the earlier
+  dash1 `analysis/lpwl_5policy_600s.md` (which saw LPWL win TTFT p90 −31% *in
+  tracets*); on dash0 `tracets` it is a tie. i.e. **`tracets` rankings are
+  run/harness-sensitive** — the robust signal is the `thinktime` advantage, which
+  appears in *both* environments. Repeat ×3 to bound noise.
+- LPWL's one persistent weak spot is **E2E p99** (thinktime 69.9s vs unified_ab
+  63.8s) — the structural HEAVY+ >50k decode tail, identical across policies, not
+  routing-fixable (see `lpwl_5policy_600s.md` κ-ablation).
+- `thinktime` advantage is a capacity-slack effect; under saturation the modes
+  converge (exp c, N=6).
+
+## Repro
+```bash
+# 1. annotate the full trace with time_to_parent_chat (dash0; once)
+python scripts/add_ttp_streaming.py 051315-051317.jsonl 051315-051317-ttp.jsonl \
+    051315-051317-raw.jsonl
+# 2. resample (same seed reproduces traces/w600_r0.0015_st30.jsonl + the ttp field;
+#    first600s = timestamp<600 filter)
+python scripts/sample_trace.py --input 051315-051317-ttp.jsonl \
+    --output traces/w600_r0.0015_st30_ttp.jsonl \
+    --window-seconds 600 --sample-ratio 0.0015 --max-single-turn-ratio 0.30 --seed 42
+# 3. run both modes x 5 policies (~3.5 h, fresh vLLM/arm)
+TRACE_FILE=traces/w600_r0.0015_st30_first600s_ttp.jsonl \
+    bash microbench/connector_tax/cache_sweep/run_5policy_both_modes.sh
+# 4. report + plot
+python scripts/bench_report.py --root outputs/policy5_600s_thinktime_<date> \
+    --json v2/exp_d_policy_dispatch/results/thinktime.json \
+    leastwork unified_ab unified_def lmetric sticky
+python v2/exp_d_policy_dispatch/plot.py
+```
diff --git a/v2/exp_d_policy_dispatch/plot.py b/v2/exp_d_policy_dispatch/plot.py
new file mode 100644
index 0000000..cfb501b
--- /dev/null
+++ b/v2/exp_d_policy_dispatch/plot.py
@@ -0,0 +1,68 @@
+"""exp (d): 5-policy routing under tracets vs thinktime dispatch.
+
+Shows the ranking FLIP: under the faithful `thinktime` load the parameter-free
+LPWL (leastwork) is the clear winner, but under `tracets` (think-collapse bursts)
+its advantage disappears (it ties unified_ab on TTFT p90 and *loses* on E2E mean).
+
+Reads the two bench_report summaries; writes v2/figs/exp_d_policy_dispatch.png.
+Usage: python v2/exp_d_policy_dispatch/plot.py
+"""
+import json
+import os
+
+import matplotlib
+matplotlib.use("Agg")
+import matplotlib.pyplot as plt
+
+HERE = os.path.dirname(__file__)
+TC = json.load(open(os.path.join(HERE, "results/tracets.json")))
+TT = json.load(open(os.path.join(HERE, "results/thinktime.json")))
+
+# canonical order: LPWL first; pretty labels
+ARMS = ["leastwork", "unified_ab", "unified_def", "lmetric", "sticky"]
+LABEL = {"leastwork": "LPWL\n(leastwork)", "unified_ab": "unified\n+A+B",
+         "unified_def": "unified\ndefault", "lmetric": "LMetric", "sticky": "sticky"}
+C_TC, C_TT = "#d62728", "#2ca02c"  # tracets red / thinktime green (match exp_c)
+
+
+def panel(ax, key, sub, title, ylab):
+    tc = [TC[a][key][sub] / 1000.0 for a in ARMS]   # ms -> s
+    tt = [TT[a][key][sub] / 1000.0 for a in ARMS]
+    x = range(len(ARMS))
+    w = 0.38
+    b1 = ax.bar([i - w / 2 for i in x], tc, w, label="tracets (burst)", color=C_TC)
+    b2 = ax.bar([i + w / 2 for i in x], tt, w, label="thinktime (faithful)", color=C_TT)
+    for bars in (b1, b2):
+        for r in bars:
+            ax.text(r.get_x() + r.get_width() / 2, r.get_height(),
+                    f"{r.get_height():.1f}", ha="center", va="bottom", fontsize=8)
+    ax.set_xticks(list(x)); ax.set_xticklabels([LABEL[a] for a in ARMS], fontsize=9)
+    ax.set_ylabel(ylab); ax.set_title(title, fontsize=11)
+    ax.grid(axis="y", alpha=.3)
+    ax.set_ylim(0, max(tc + tt) * 1.18)
+    # mark LPWL-thinktime as the winner (lowest green) in each panel
+    ax.annotate("LPWL wins\nunder thinktime", xy=(0 + w / 2, tt[0]),
+                xytext=(0.9, max(tc + tt) * 0.86), fontsize=8.5, color=C_TT,
+                ha="left", arrowprops=dict(arrowstyle="->", color=C_TT, lw=1.3))
+    return b1, b2
+
+
+fig, (axL, axR) = plt.subplots(1, 2, figsize=(11.2, 4.6))
+panel(axL, "ttft_ms", "p90", "TTFT p90 (lower = better)", "TTFT p90 (s)")
+panel(axR, "e2e_ms", "mean", "E2E mean (lower = better)", "E2E mean (s)")
+axL.legend(loc="upper left", fontsize=9)
+fig.suptitle("5-policy routing: dispatch mode flips the ranking — "
+             "LPWL is best under faithful thinktime, only ties/loses under tracets bursts",
+             fontsize=11.5)
+fig.tight_layout(rect=(0, 0, 1, 0.95))
+out = os.path.join(HERE, "..", "figs", "exp_d_policy_dispatch.png")
+fig.savefig(out, dpi=140)
+print("wrote", os.path.normpath(out))
+
+# also print the deltas the README cites
+print("\npolicy        TTFTp90 tc->tt    E2Emean tc->tt")
+for a in ARMS:
+    t1, t2 = TC[a]["ttft_ms"]["p90"], TT[a]["ttft_ms"]["p90"]
+    e1, e2 = TC[a]["e2e_ms"]["mean"], TT[a]["e2e_ms"]["mean"]
+    print(f"{a:<13} {t1/1000:5.1f}->{t2/1000:4.1f}s ({(t2-t1)/t1:+.0%})   "
+          f"{e1/1000:5.1f}->{e2/1000:4.1f}s ({(e2-e1)/e1:+.0%})")
diff --git a/v2/exp_d_policy_dispatch/results/thinktime.json b/v2/exp_d_policy_dispatch/results/thinktime.json
new file mode 100644
index 0000000..0316cdd
--- /dev/null
+++ b/v2/exp_d_policy_dispatch/results/thinktime.json
@@ -0,0 +1,803 @@
+{
+  "leastwork": {
+    "n_total": 807,
+    "n_ok": 807,
+    "window_s": 986.1941225528717,
+    "ttft_ms": {
+      "n": 807,
+      "mean": 3043.454534307026,
+      "p50": 681.8344180064742,
+      "p90": 6712.89858900127,
+      "p99": 41146.725983999204
+    },
+    "tpot_ms": {
+      "n": 806,
+      "mean": 17.12884673518703,
+      "p50": 7.770131949655479,
+      "p90": 17.997618232737178,
+      "p99": 133.81680370757084
+    },
+    "e2e_ms": {
+      "n": 807,
+      "mean": 6787.973176127951,
+      "p50": 2026.8339599715546,
+      "p90": 17635.302426991984,
+      "p99": 69945.72682998842
+    },
+    "throughput": {
+      "decode_tps": 234.00362537409853,
+      "prefill_tps": 8660.302069020001,
+      "total_tps": 8894.305694394101,
+      "total_output_tokens": 230773,
+      "total_new_prefill_tokens": 8540739
+    },
+    "apc": 0.6756355919409787,
+    "per_worker": {
+      "0": {
+        "n": 96,
+        "decode_tps": 48.631399136561754,
+        "prefill_tps": 812.7547930676582,
+        "ttft_p90_ms": 5368.347445008112,
+        "gpu_util_mean": 48.6875,
+        "gpu_util_max": 100.0,
+        "gpu_mem_max_mb": 89575.0
+      },
+      "1": {
+        "n": 111,
+        "decode_tps": 28.45180209284375,
+        "prefill_tps": 954.9580335787387,
+        "ttft_p90_ms": 3442.4916800053325,
+        "gpu_util_mean": 40.479166666666664,
+        "gpu_util_max": 100.0,
+        "gpu_mem_max_mb": 89575.0
+      },
+      "2": {
+        "n": 99,
+        "decode_tps": 35.558922120953866,
+        "prefill_tps": 901.7494422882478,
+        "ttft_p90_ms": 5583.948273997521,
+        "gpu_util_mean": 48.395833333333336,
+        "gpu_util_max": 100.0,
+        "gpu_mem_max_mb": 89575.0
+      },
+      "3": {
+        "n": 88,
+        "decode_tps": 20.717016592141224,
+        "prefill_tps": 1149.215934349922,
+        "ttft_p90_ms": 6448.1909119931515,
+        "gpu_util_mean": 38.020833333333336,
+        "gpu_util_max": 100.0,
+        "gpu_mem_max_mb": 89575.0
+      },
+      "4": {
+        "n": 124,
+        "decode_tps": 38.884839326290034,
+        "prefill_tps": 891.8842445776638,
+        "ttft_p90_ms": 4944.760143000167,
+        "gpu_util_mean": 40.020833333333336,
+        "gpu_util_max": 100.0,
+        "gpu_mem_max_mb": 89575.0
+      },
+      "5": {
+        "n": 110,
+        "decode_tps": 20.013301183451194,
+        "prefill_tps": 1581.959336729224,
+        "ttft_p90_ms": 27228.53080899222,
+        "gpu_util_mean": 78.19791666666667,
+        "gpu_util_max": 100.0,
+        "gpu_mem_max_mb": 89575.0
+      },
+      "6": {
+        "n": 64,
+        "decode_tps": 25.779914337947165,
+        "prefill_tps": 1114.0737658787832,
+        "ttft_p90_ms": 18414.893322013086,
+        "gpu_util_mean": 49.833333333333336,
+        "gpu_util_max": 100.0,
+        "gpu_mem_max_mb": 89575.0
+      },
+      "7": {
+        "n": 115,
+        "decode_tps": 15.966430583909537,
+        "prefill_tps": 1253.7065185497638,
+        "ttft_p90_ms": 9039.336649002507,
+        "gpu_util_mean": 39.5625,
+        "gpu_util_max": 100.0,
+        "gpu_mem_max_mb": 89575.0
+      }
+    },
+    "decisions": {},
+    "gpu_captured": true,
+    "spread": {
+      "n_ratio": 1.9375,
+      "ttft_p90_ratio": 7.909541500751002,
+      "gpu_util_ratio": 2.0567123287671234,
+      "gpu_util_min": 38.020833333333336,
+      "gpu_util_max": 78.19791666666667
+    },
+    "per_class": {
+      "WARM<5k": {
+        "n": 92,
+        "ttft_ms": {
+          "n": 92,
+          "mean": 192.46459313074845,
+          "p50": 177.03324498143047,
+          "p90": 313.57523999758996,
+          "p99": 553.8838730135467
+        }
+      },
+      "MED5-20k": {
+        "n": 278,
+        "ttft_ms": {
+          "n": 278,
+          "mean": 772.5742901807313,
+          "p50": 677.829442982329,
+          "p90": 1460.6262099987362,
+          "p99": 2101.3274399738293
+        }
+      },
+      "HEAVY20-50k": {
+        "n": 248,
+        "ttft_ms": {
+          "n": 248,
+          "mean": 2004.694984432952,
+          "p50": 1127.2326559992507,
+          "p90": 5081.04542500223,
+          "p99": 9901.586207997752
+        }
+      },
+      "HEAVY+>50k": {
+        "n": 189,
+        "ttft_ms": {
+          "n": 189,
+          "mean": 9134.502951365745,
+          "p50": 2167.4920289951842,
+          "p90": 28926.44312098855,
+          "p99": 49472.52169801504
+        }
+      }
+    }
+  },
+  "unified_ab": {
+    "n_total": 807,
+    "n_ok": 807,
+    "window_s": 986.5525379180908,
+    "ttft_ms": {
+      "n": 807,
+      "mean": 3592.357064001708,
+      "p50": 676.4678099716548,
+      "p90": 9736.127940996084,
+      "p99": 42370.66501099616
+    },
+    "tpot_ms": {
+      "n": 806,
+      "mean": 13.200466578008895,
+      "p50": 7.819523662692517,
+      "p90": 19.090397550442486,
+      "p99": 133.40408908212945
+    },
+    "e2e_ms": {
+      "n": 807,
+      "mean": 7131.188424004758,
+      "p50": 2037.0979200233705,
+      "p90": 18689.829077018658,
+      "p99": 63787.50272799516
+    },
+    "throughput": {
+      "decode_tps": 233.91861166055818,
+      "prefill_tps": 8640.029468666471,
+      "total_tps": 8873.948080327029,
+      "total_output_tokens": 230773,
+      "total_new_prefill_tokens": 8523843
+    },
+    "apc": 0.6762772765819173,
+    "per_worker": {
+      "0": {
+        "n": 58,
+        "decode_tps": 29.088161954921237,
+        "prefill_tps": 930.9397773565431,
+        "ttft_p90_ms": 13273.868343996583,
+        "gpu_util_mean": 44.989583333333336,
+        "gpu_util_max": 100.0,
+        "gpu_mem_max_mb": 89575.0
+      },
+      "1": {
+        "n": 98,
+        "decode_tps": 24.162930086120934,
+        "prefill_tps": 1018.370498666148,
+        "ttft_p90_ms": 4365.537890000269,
+        "gpu_util_mean": 38.90625,
+        "gpu_util_max": 100.0,
+        "gpu_mem_max_mb": 89575.0
+      },
+      "2": {
+        "n": 110,
+        "decode_tps": 35.40713612040818,
+        "prefill_tps": 965.8167845888297,
+        "ttft_p90_ms": 4610.747697995976,
+        "gpu_util_mean": 52.114583333333336,
+        "gpu_util_max": 100.0,
+        "gpu_mem_max_mb": 89575.0
+      },
+      "3": {
+        "n": 102,
+        "decode_tps": 20.719626390233998,
+        "prefill_tps": 1126.5056419045684,
+        "ttft_p90_ms": 10947.632670984603,
+        "gpu_util_mean": 41.703125,
+        "gpu_util_max": 100.0,
+        "gpu_mem_max_mb": 89575.0
+      },
+      "4": {
+        "n": 99,
+        "decode_tps": 44.64435324746667,
+        "prefill_tps": 911.5449663712324,
+        "ttft_p90_ms": 4116.690531984204,
+        "gpu_util_mean": 42.671875,
+        "gpu_util_max": 100.0,
+        "gpu_mem_max_mb": 89575.0
+      },
+      "5": {
+        "n": 110,
+        "decode_tps": 29.724722072971574,
+        "prefill_tps": 918.851216898154,
+        "ttft_p90_ms": 4543.632891000016,
+        "gpu_util_mean": 40.864583333333336,
+        "gpu_util_max": 100.0,
+        "gpu_mem_max_mb": 89575.0
+      },
+      "6": {
+        "n": 125,
+        "decode_tps": 28.516474205589404,
+        "prefill_tps": 1522.1155917037186,
+        "ttft_p90_ms": 25507.55575299263,
+        "gpu_util_mean": 76.203125,
+        "gpu_util_max": 100.0,
+        "gpu_mem_max_mb": 89575.0
+      },
+      "7": {
+        "n": 105,
+        "decode_tps": 21.655207582846195,
+        "prefill_tps": 1245.884991177276,
+        "ttft_p90_ms": 20629.490054008784,
+        "gpu_util_mean": 47.276041666666664,
+        "gpu_util_max": 100.0,
+        "gpu_mem_max_mb": 89575.0
+      }
+    },
+    "decisions": {
+      "lmetric_fallback": 389,
+      "affinity": 418
+    },
+    "gpu_captured": true,
+    "spread": {
+      "n_ratio": 2.1551724137931036,
+      "ttft_p90_ratio": 6.196131468910353,
+      "gpu_util_ratio": 1.9586345381526105,
+      "gpu_util_min": 38.90625,
+      "gpu_util_max": 76.203125
+    },
+    "per_class": {
+      "WARM<5k": {
+        "n": 92,
+        "ttft_ms": {
+          "n": 92,
+          "mean": 448.3382160131283,
+          "p50": 179.28761898656376,
+          "p90": 323.1771159917116,
+          "p99": 5748.067840992007
+        }
+      },
+      "MED5-20k": {
+        "n": 278,
+        "ttft_ms": {
+          "n": 278,
+          "mean": 1455.8712874500252,
+          "p50": 685.6210659898352,
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+}
\ No newline at end of file
diff --git a/v2/exp_d_policy_dispatch/results/tracets.json b/v2/exp_d_policy_dispatch/results/tracets.json
new file mode 100644
index 0000000..b735d7a
--- /dev/null
+++ b/v2/exp_d_policy_dispatch/results/tracets.json
@@ -0,0 +1,803 @@
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+}
\ No newline at end of file
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new file mode 100644
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