Natural Memory NM2.1: 记忆路由器分叉、数据集缺陷修复与全轴评测证据

- 引入 MemoryRouterXL 与 v5/v6 流式多线程训练/编码管线
- 修复 prepare_memory_router_dataset 候选池重建缺陷（mega 家族 3568x 加速，输出逐字节相同）
- 修复 v5 被破坏的拒答与多跳标签（train 未知样本 319 -> 16319，multi_hop 平均正例 1.00 -> 2.00）
- 同存储预算下 V2-128 v6 逐轴 22/22 通过：Top-1 41.12% -> 94.62%，未知拒答 0.00% -> 100.00%
- 记录三条被实测推翻的显然优化（logits_to_keep=1 反而慢 55%、XL 容量未带来收益）
- 记忆手术跨架构可移植性 14/14，读写关闭时与原生模型逐位相同

chain_v5.ps1

@@ -0,0 +1,52 @@
+# Chain: wait for the v5 feature encoder, then train and score automatically.
+#
+#   1. wait for the encoder process to exit;
+#   2. verify the encoder wrote its real manifest (not the smoke placeholder);
+#   3. train the V2-512 control and the XL-512 candidate on the identical v5 data;
+#   4. score every router (old production, old v3-trained, new v5-trained) on the
+#      frozen 21,920-episode v5 eval and write the percentage scorecard.
+param(
+    [Parameter(Mandatory = $true)][int]$EncoderPid,
+    [int]$Steps = 100000,
+    [int]$PollSeconds = 30
+)
+
+$ErrorActionPreference = 'Stop'
+$Python = 'C:\Users\Administrator\miniconda3\envs\LLM\python.exe'
+$ForkRoot = 'H:\Memory\V2_dpskw'
+$CacheDir = 'H:\Memory\nm_cache\nm_router_v5\feature_cache'
+$Manifest = Join-Path $CacheDir 'manifest.json'
+
+Write-Output ("[{0}] waiting for encoder pid {1}" -f (Get-Date -Format 'HH:mm:ss'), $EncoderPid)
+while (Get-Process -Id $EncoderPid -ErrorAction SilentlyContinue) {
+    Start-Sleep -Seconds $PollSeconds
+}
+Write-Output ("[{0}] encoder exited" -f (Get-Date -Format 'HH:mm:ss'))
+
+$manifest = Get-Content -LiteralPath $Manifest -Raw | ConvertFrom-Json
+if (-not $manifest.PSObject.Properties.Name.Contains('encoding')) {
+    throw "manifest has no 'encoding' section: the encoder did not finish cleanly"
+}
+if ([int]$manifest.text_count -lt 2000000) {
+    throw "encoder produced only $($manifest.text_count) texts"
+}
+Write-Output ("manifest ok: texts={0} dtype={1} grouping={2}" -f $manifest.text_count, $manifest.dtype, $manifest.encoding.grouping)
+
+# --- 3. train ---------------------------------------------------------------
+& pwsh -NoProfile -File (Join-Path $ForkRoot 'run_router_v5.ps1') -Steps $Steps
+if ($LASTEXITCODE -ne 0) { throw "v5 training failed with exit code $LASTEXITCODE" }
+
+# --- 4. score ---------------------------------------------------------------
+$env:PYTHONPATH = 'H:\Memory'
+Set-Location $ForkRoot
+$old = 'H:\Memory\dynamic_memory_lab\checkpoints'
+& $Python -m V2_dpskw.eval_router_v5 `
+    --run "V2-128 deployed(v3)=$old\natural_memory_v2_qwen_router_entities\memory_router_v2.pt" `
+    --run "V2-512 v3 best=$old\natural_memory_v2_router_512\router_best.pt" `
+    --run "V2-512 v3 final=$old\natural_memory_v2_router_512\memory_router_v2.pt" `
+    --run "V2-512 v5 best=$ForkRoot\checkpoints\router_v5_v2_512\router_best.pt" `
+    --run "V2-512 v5 final=$ForkRoot\checkpoints\router_v5_v2_512\memory_router_v2.pt" `
+    --run "XL-512 v5 best=$ForkRoot\checkpoints\router_v5_xl512\router_best.pt" `
+    --run "XL-512 v5 final=$ForkRoot\checkpoints\router_v5_xl512\memory_router_xl.pt" `
+    --output router_scorecard_v5.json --markdown router_scorecard_v5.md
+Write-Output ("[{0}] chain complete" -f (Get-Date -Format 'HH:mm:ss'))