diff --git a/.changeset/deterministic-threads.md b/.changeset/deterministic-threads.md
new file mode 100644
index 0000000..9acd3a2
--- /dev/null
+++ b/.changeset/deterministic-threads.md
@@ -0,0 +1,25 @@
+---
+'@platforma-open/milaboratories.sequence-properties.software': patch
+'@platforma-open/milaboratories.sequence-properties.workflow': patch
+---
+
+Parallelize the compute step and size its resources to the input, keeping output byte-identical.
+
+Memory now scales with the input: `memFormula(clamp(max(lineCount * perRow, size * 64), 2GiB, 64GiB))` replaces the flat `mem("12GiB")`. The two terms cover two cost sources — a row-scaled term for per-clone structures (count matrix, output columns, aa_fraction; measured ~3 KiB/row peptide, ~4.3 KiB/row antibody), and a residue-scaled term (`size` ≈ total residues) for the O(residues) cleaning transients. The size term keeps long-sequence/low-row inputs (amplicon variants) off the 2 GiB floor, where a `lineCount`-only formula would OOM them. Large datasets get the RAM they need; small ones stop over-reserving. A `fallback: "12GiB"` preserves the old behavior on backends that cannot evaluate formulas.
+
+CPU scales with the input too: both modes request up to 4 cores (`cpuFormula`), matching their measured thread speedups (peptide ~1.7x, antibody ~1.5x). `POLARS_MAX_THREADS` — which sizes both the polars pool and the numpy pI-bisection workers — takes the cores the backend actually grants, via the `{system.cpu}` command expression, so a sub-cap allocation never oversubscribes its quota. A static `env` covers backends without command expressions.
+
+Determinism holds regardless of core count. Polars parallelizes only order-stable work (CSV read, chain reconstruction, aa_fraction reshape, the unique-key sort, CSV write), and `main.py` pins the BLAS/OpenMP intra-op threads to 1 so the one order-sensitive step — the `counts @ weights` reduction — never splits across threads. The emitted bytes, and the resource CID, stay identical.
+
+Compute-engine optimizations, all output-preserving:
+
+- `_charge_raw` computes `10**ph` once and reuses it via scalar factors instead of a per-amino-acid `10**(ph±pk)` — ~2.4x faster on the charge/pI path (FP drift ~1e-15, absorbed by the 3-dp quantization).
+- Peptide mode cleans its column once, sharing the intermediate between the count substrate and the instability index instead of cleaning twice.
+- The count and instability scatters use `np.bincount` instead of the slower unbuffered `np.add.at` — bit-identical, ~3x faster.
+- The per-chain median-CDR3-length stat uses a vectorized polars `count_matches` instead of one Python `effective_length` call per row.
+- Peptide `aa_fraction` uses a polars unpivot instead of a 20×N Python-list explosion, cutting peak memory on the peptide path.
+- The pI bisection (`isoelectric_point` / `fv_isoelectric_point`) runs row-parallel across threads — contiguous, data-independent blocks, each depending only on its own rows, so the result is bit-identical regardless of worker count.
+
+Together these cut peptide compute ~2.3x and make antibody scale from ~1.1x to ~1.5x on 4 cores (10.0s → 4.6s at 1M rows).
+
+Output stays within the quantized-equal contract, verified byte-for-byte between 1 and 4 threads by an extended determinism test and against the pre-change implementation (peptide and antibody, including edge cases).
diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml
index 89676eb..442ba20 100644
--- a/pnpm-lock.yaml
+++ b/pnpm-lock.yaml
@@ -25,26 +25,26 @@ catalogs:
       specifier: 1.8.2
       version: 1.8.2
     '@platforma-sdk/block-tools':
-      specifier: 2.11.6
-      version: 2.11.6
+      specifier: 2.11.9
+      version: 2.11.9
     '@platforma-sdk/eslint-config':
       specifier: 1.2.0
       version: 1.2.0
     '@platforma-sdk/model':
-      specifier: 1.79.20
-      version: 1.79.20
+      specifier: 1.79.24
+      version: 1.79.24
     '@platforma-sdk/package-builder':
       specifier: 3.14.0
       version: 3.14.0
     '@platforma-sdk/tengo-builder':
-      specifier: 4.0.11
-      version: 4.0.11
+      specifier: 4.0.14
+      version: 4.0.14
     '@platforma-sdk/test':
-      specifier: 1.79.23
-      version: 1.79.23
+      specifier: 1.79.26
+      version: 1.79.26
     '@platforma-sdk/ui-vue':
-      specifier: 1.79.20
-      version: 1.79.20
+      specifier: 1.79.24
+      version: 1.79.24
     '@platforma-sdk/workflow-tengo':
       specifier: 6.6.5
       version: 6.6.5
@@ -86,7 +86,7 @@ importers:
         version: 1.6.0(@types/node@25.3.2)(rollup@4.53.3)(vue@3.5.25(typescript@5.9.3))(yaml@2.8.1)
       '@platforma-sdk/block-tools':
         specifier: 'catalog:'
-        version: 2.11.6(@types/node@25.3.2)
+        version: 2.11.9(@types/node@25.3.2)
       shx:
         specifier: 'catalog:'
         version: 0.4.0
@@ -107,23 +107,23 @@ importers:
         version: link:../workflow
       '@platforma-sdk/model':
         specifier: 'catalog:'
-        version: 1.79.20
+        version: 1.79.24
     devDependencies:
       '@platforma-sdk/block-tools':
         specifier: 'catalog:'
-        version: 2.11.6(@types/node@25.3.2)
+        version: 2.11.9(@types/node@25.3.2)
 
   model:
     dependencies:
       '@milaboratories/graph-maker':
         specifier: 'catalog:'
-        version: 1.4.8(@milaboratories/pl-model-common@1.46.2)(@platforma-sdk/model@1.79.20)(@platforma-sdk/ui-vue@1.79.20(@bytecodealliance/preview2-shim@0.17.8)(typescript@5.6.3))(d3-dispatch@3.0.1)(d3-path@3.1.0)(d3-scale-chromatic@3.1.0)(typescript@5.6.3)
+        version: 1.4.8(@milaboratories/pl-model-common@1.46.3)(@platforma-sdk/model@1.79.24)(@platforma-sdk/ui-vue@1.79.24(@bytecodealliance/preview2-shim@0.17.8)(typescript@5.6.3))(d3-dispatch@3.0.1)(d3-path@3.1.0)(d3-scale-chromatic@3.1.0)(typescript@5.6.3)
       '@milaboratories/helpers':
         specifier: 'catalog:'
         version: 1.14.2
       '@platforma-sdk/model':
         specifier: 'catalog:'
-        version: 1.79.20
+        version: 1.79.24
       '@types/node':
         specifier: '*'
         version: 25.3.2
@@ -139,7 +139,7 @@ importers:
         version: 1.3.0
       '@platforma-sdk/block-tools':
         specifier: 'catalog:'
-        version: 2.11.6(@types/node@25.3.2)
+        version: 2.11.9(@types/node@25.3.2)
       vitest:
         specifier: 'catalog:'
         version: 4.1.4(@types/node@25.3.2)(@vitest/coverage-istanbul@4.1.4)(vite@8.0.8(@types/node@25.3.2)(yaml@2.8.1))
@@ -175,7 +175,7 @@ importers:
         version: 1.0.4
       '@platforma-sdk/model':
         specifier: 'catalog:'
-        version: 1.79.20
+        version: 1.79.24
       this-block:
         specifier: workspace:@platforma-open/milaboratories.sequence-properties@*
         version: link:../block
@@ -191,7 +191,7 @@ importers:
         version: 1.2.0(@eslint/js@9.39.4)(@stylistic/eslint-plugin@2.13.0(eslint@9.39.4)(typescript@5.6.3))(eslint-plugin-n@17.24.0(eslint@9.39.4)(typescript@5.6.3))(eslint-plugin-vue@9.33.0(eslint@9.39.4))(eslint@9.39.4)(globals@15.15.0)(typescript-eslint@8.59.1(eslint@9.39.4)(typescript@5.6.3))(typescript@5.6.3)
       '@platforma-sdk/test':
         specifier: 'catalog:'
-        version: 1.79.23(@bytecodealliance/preview2-shim@0.17.8)(@types/node@25.3.2)(vite@8.0.8(@types/node@25.3.2)(yaml@2.8.1))
+        version: 1.79.26(@bytecodealliance/preview2-shim@0.17.8)(@types/node@25.3.2)(vite@8.0.8(@types/node@25.3.2)(yaml@2.8.1))
       eslint:
         specifier: 'catalog:'
         version: 9.39.4
@@ -206,16 +206,16 @@ importers:
     dependencies:
       '@milaboratories/graph-maker':
         specifier: 'catalog:'
-        version: 1.4.8(@milaboratories/pl-model-common@1.46.2)(@platforma-sdk/model@1.79.20)(@platforma-sdk/ui-vue@1.79.20(@bytecodealliance/preview2-shim@0.17.8)(typescript@5.6.3))(d3-dispatch@3.0.1)(d3-path@3.1.0)(d3-scale-chromatic@3.1.0)(typescript@5.6.3)
+        version: 1.4.8(@milaboratories/pl-model-common@1.46.3)(@platforma-sdk/model@1.79.24)(@platforma-sdk/ui-vue@1.79.24(@bytecodealliance/preview2-shim@0.17.8)(typescript@5.6.3))(d3-dispatch@3.0.1)(d3-path@3.1.0)(d3-scale-chromatic@3.1.0)(typescript@5.6.3)
       '@platforma-open/milaboratories.sequence-properties.model':
         specifier: workspace:*
         version: link:../model
       '@platforma-sdk/model':
         specifier: 'catalog:'
-        version: 1.79.20
+        version: 1.79.24
       '@platforma-sdk/ui-vue':
         specifier: 'catalog:'
-        version: 1.79.20(@bytecodealliance/preview2-shim@0.17.8)(typescript@5.6.3)
+        version: 1.79.24(@bytecodealliance/preview2-shim@0.17.8)(typescript@5.6.3)
       typescript:
         specifier: '*'
         version: 5.6.3
@@ -250,10 +250,10 @@ importers:
     devDependencies:
       '@platforma-sdk/tengo-builder':
         specifier: 'catalog:'
-        version: 4.0.11
+        version: 4.0.14
       '@platforma-sdk/test':
         specifier: 'catalog:'
-        version: 1.79.23(@bytecodealliance/preview2-shim@0.17.8)(@types/node@25.3.2)(vite@8.0.8(@types/node@25.3.2)(yaml@2.8.1))
+        version: 1.79.26(@bytecodealliance/preview2-shim@0.17.8)(@types/node@25.3.2)(vite@8.0.8(@types/node@25.3.2)(yaml@2.8.1))
 
 packages:
 
@@ -1154,8 +1154,8 @@ packages:
   '@milaboratories/miplots4@1.2.3':
     resolution: {integrity: sha512-rhoF7iRcJWKUqJMQq8y84vlkqZn4Yk7tOV8Zef+W+GqVt9UYgV1XLJu/+Wp1GcsUVtPP8Xs5CRgfA/YfV+a4Hg==}
 
-  '@milaboratories/pf-driver@1.7.14':
-    resolution: {integrity: sha512-JRuMmuhObyD27MtpCcimGklr2yMJ2PobcYJ2y5k+UuhQWXKllhEDlUAyv2Xw/I7Xxym8Nn2npcVdOaJvTP3bPA==}
+  '@milaboratories/pf-driver@1.7.15':
+    resolution: {integrity: sha512-55/8fs5q+hmqW1qQIlE4MYujDh84YaAIbTxPhG0NTn5dsOk/t9vCJuDgL3ztdlUbX5pDhI+4sg+AppVg1CgJng==}
     engines: {node: '>=22.19.0'}
 
   '@milaboratories/pf-plots@1.4.6':
@@ -1167,8 +1167,8 @@ packages:
   '@milaboratories/pf-spec-driver@1.2.4':
     resolution: {integrity: sha512-bJdC9NLNTqbN84cnaUqZifMNboMHfiqIp9AOQ+mrBgBjHysm/fopMg9OAt3zHCY+xlnlB6z+0es/PiYLsG9kyQ==}
 
-  '@milaboratories/pf-spec-driver@1.4.16':
-    resolution: {integrity: sha512-x6SQVUU3fl+1fFavCSzc1DNMB08HKoo0PT5dpXJWAi6oEw77yueoe1StZJVY0Kgj1BpVhlmuuC87PJu8s4eFRw==}
+  '@milaboratories/pf-spec-driver@1.4.17':
+    resolution: {integrity: sha512-FK/OK7hHDM4NNX7jm68DYMK2KZg6bq6JubG7WMFs+EzHUDbEnMwVbsa0Ch1SmwNoKwsVVcO1E6bMFuBGuW4Wjg==}
 
   '@milaboratories/pframes-rs-node@1.1.52':
     resolution: {integrity: sha512-Uu4KsQx0GiKvFASI+Cm0nMCMieUVo35mpz4j8mYUYImr7S+bVDDcHweCWrkLkSeImnOQnYHVo9RycViG6QwUQw==}
@@ -1194,19 +1194,19 @@ packages:
       '@milaboratories/pl-model-common': 1.46.2
       '@milaboratories/pl-model-middle-layer': 1.30.7
 
-  '@milaboratories/pl-client@3.12.0':
-    resolution: {integrity: sha512-uca6tbW7hy7H/Sf010/9HNQMFKwf6bJ/JONyNgvQB+hGdJZb//vjw0xoBQDun0wSAkPm+9H2I+e0q6RUfcNZng==}
+  '@milaboratories/pl-client@3.13.1':
+    resolution: {integrity: sha512-WbA8+dwFw7fs/oNPHDsVap65zAMMnbCvs8C/RNO1ZlhIwNL9EayTiSrVz4NxwZeFI7C1GNMzYL2SOHZlDfmFgg==}
     engines: {node: '>=22.19.0'}
 
   '@milaboratories/pl-config@1.8.2':
     resolution: {integrity: sha512-FG9rlAKDf1rwlg+3G9OG2bCKISNp6ajM27W7ODDSsWE4MSCVxhYB172UusbohY2RDmaD9GI5pDKO5O9uoHQCCA==}
 
-  '@milaboratories/pl-deployments@3.0.8':
-    resolution: {integrity: sha512-7WvA761yI7eLCdJE19uNa/a6fLxytVrKJ/utBJ6GelZQFuA/LT12VkG6r0uAFtU8afY9Sr89078oLzZSZJR/oA==}
+  '@milaboratories/pl-deployments@3.0.9':
+    resolution: {integrity: sha512-oIxUc9PjtdyjQMzR37Cmb5YEK83cxBAq6kPC8KM/gTDjmiJR3idLSYsmTeA7Rmcz1OSvrYRHuJhmLgWMMUhm7A==}
     engines: {node: '>=22.19.0'}
 
-  '@milaboratories/pl-drivers@1.16.3':
-    resolution: {integrity: sha512-/HObfG0uuFDYUd8G3qxlhrvhvTo8T5MH42+Vpr8snN+YnSHGyMXo6rw6oKRNO+h/GF+kbI5DTr9kNsQVEwyFng==}
+  '@milaboratories/pl-drivers@1.16.6':
+    resolution: {integrity: sha512-3Pjusfv1MKCJ7NwTFlYmd6qNr2iQfoqJK7kgUACic8wh/5PLeZ4fVeghZHOBYWpi5PSuncAMaiImEfciJyKNKg==}
     engines: {node: '>=22'}
 
   '@milaboratories/pl-error-like@1.12.10':
@@ -1215,8 +1215,8 @@ packages:
   '@milaboratories/pl-error-like@1.12.9':
     resolution: {integrity: sha512-9qlfawLFO4qG656ayvVSRholhhwlfXUvKKllXpHadqbnf2zO2oCd+5J76bPaFXDz/A3T+1eokCnCX74JsqCYSw==}
 
-  '@milaboratories/pl-errors@1.4.24':
-    resolution: {integrity: sha512-pV0oF0zO6bwAo/llQlu4Q00uI0guPQ9Wn+coK3pwLrateKidVRH/2XhwUgTwgS8vDECBNCgtYR6E/Im+nl+FMw==}
+  '@milaboratories/pl-errors@1.4.27':
+    resolution: {integrity: sha512-TBmiuNXyo3MufCbUdCcohX7hc7i26hXZOh8b1CN+uloPb39NGxhtaCUfhpXD0vHPeJXEdY9bPCKS8oEJdduGJQ==}
 
   '@milaboratories/pl-healthcheck@1.0.1':
     resolution: {integrity: sha512-eiYd/TFm18SW4EY8vkI3c+fcPnjUu3Hd1GnPLWCN8U+dNmp/tnrzfeCgaY4xO/s0vkHNX9E7IrsQiMg2Ioz4rw==}
@@ -1225,12 +1225,12 @@ packages:
   '@milaboratories/pl-http@1.2.4':
     resolution: {integrity: sha512-QKmhx+WEvJCV9dUy/SBdQk/ApaJ5ewBFgm/b+XPlS10SusAdqUUTGvK5+hq8YSuUMXlHb/dk++UtI5YlDuDl2Q==}
 
-  '@milaboratories/pl-middle-layer@1.64.41':
-    resolution: {integrity: sha512-6xXwmTaaImd6HQ2PZgUWGf1gXsfgEPz3zWQsmaUaPMyMusjPVynPCX2hnThqrPVf54mEMlvc3HTGaC+dofDF0g==}
+  '@milaboratories/pl-middle-layer@1.65.1':
+    resolution: {integrity: sha512-dOcyutS2XJoBxmHm9f0zposPzGSSlcv0qxrw0Kb7hFH7VbsNqoEGhPsxmkp+OLfYeCZipckALazuWGLRrIgR4w==}
     engines: {node: '>=22.19.0'}
 
-  '@milaboratories/pl-model-backend@1.4.9':
-    resolution: {integrity: sha512-84+Pv2RhonE/ZwR5bXipOGK4cC5V3C4vmhzIgc8TWpgLxUNsjCjoodSo3bzPcpA+URShTf4+3h4C28O/wO/MCw==}
+  '@milaboratories/pl-model-backend@1.4.12':
+    resolution: {integrity: sha512-cRztgCkY8f4JPEWk4/1zNcdx83crvc7byLwfG+fTh8jOja+4CqfQ73fFMAt/kuTuezMWIvO2cLvxiI2Cc2ztAg==}
 
   '@milaboratories/pl-model-common@1.31.1':
     resolution: {integrity: sha512-MLQvhXXFOykABZr8aVgzt5x0htT7ye4cvvnVy0TgOITXpct+lEmWvaVj29zirK/0VFw7wnTXDGnLwusr77NZFA==}
@@ -1241,24 +1241,27 @@ packages:
   '@milaboratories/pl-model-common@1.46.2':
     resolution: {integrity: sha512-VEeauisApYScvCS8lnK3zpFJ520xuTAodKJmjR8ulHcMrWMyWMfHEdGb7j5OMD0mM/OwTgmQrrJ5eB7Xd+xoOQ==}
 
+  '@milaboratories/pl-model-common@1.46.3':
+    resolution: {integrity: sha512-fMYwVmkGrgzIBo7WxWW911MYSaUwIoSwNFjgtMsus7Xa/SAX44EK7DGq3T9J/cHLK2j6aIRzIL27OUF5xiEk9A==}
+
   '@milaboratories/pl-model-middle-layer@1.16.3':
     resolution: {integrity: sha512-XLZEC3POgUMNNjXr3Pudh7gx2CXZygeskxuQCyPfj4c8Fi35+kAfH9VBpNZD1koiT2n+x5QZyS3RpzcAddQTnQ==}
 
   '@milaboratories/pl-model-middle-layer@1.16.4':
     resolution: {integrity: sha512-uFTZHEjRmfRvY97tRbBuTvNzQnTYIj58S8HBzyMsFkzxbUI8vTBPtvEqbTU2IbQ31IEGvv8T0BBl9b7/vdud0A==}
 
+  '@milaboratories/pl-model-middle-layer@1.30.10':
+    resolution: {integrity: sha512-SSUl8iHC0XMFOwj4IOxWwtgU/v80gF/qi1BXIGOOV8ZAgAoiY8+Ahox5UMKi+M57KpPQtDcR1uCDtJk5eaQ5SA==}
+
   '@milaboratories/pl-model-middle-layer@1.30.7':
     resolution: {integrity: sha512-rs9x3Ron4ujR/UOdEgB8WUB1SvZ8ZAScT1Av/e4or+iiQ/CzhmK9nqtYamHVwKV+JgwIFbXQwxGvIHDVz955dQ==}
 
-  '@milaboratories/pl-model-middle-layer@1.30.9':
-    resolution: {integrity: sha512-fnrCjWPR0HeytWC3rnHkY3bpNk3UOuED+lwmauhYBKRaF46cV1df46clJSkGNZHS9g439SYwclW4no2X/ALaFQ==}
-
-  '@milaboratories/pl-tree@1.12.14':
-    resolution: {integrity: sha512-G6uUG+3b4rH0eEQP6B31unFJtxsutETJckvapqXd9u+Uo906mK4w5u6DnXcNWfhWhKx3/hp8v89CsYSDO3b7Qw==}
+  '@milaboratories/pl-tree@1.12.17':
+    resolution: {integrity: sha512-60oB2IN0yj+4W7pi62yfpQH/CUyCwCMBeIw7CI/1tCsKEo46AMYCu9O0ATKxEFpELBtUrzbfc8TrDFm//WYEew==}
     engines: {node: '>=22.19.0'}
 
-  '@milaboratories/ptabler-expression-js@1.2.31':
-    resolution: {integrity: sha512-VB3fxuVqc0Beb+3/ge9uZ39uU8YqAhck9pTIxTpNZ5hOfMtPGJEI98YxoJQ8BuYhyyx5SM5qMU04NNs/vdk46A==}
+  '@milaboratories/ptabler-expression-js@1.2.32':
+    resolution: {integrity: sha512-hpg3hWqZ63bOAUNNVt6yKVjvX611TegVkgI3Thk/svv8ZSwDKWX5sEHIq+3E0x/+MWbuTce+CvXtDB5rR1atXg==}
 
   '@milaboratories/ptabler-expression-js@1.2.5':
     resolution: {integrity: sha512-pxBFYycBAVc4pVCo+qDzi2mQDQiar5D2tOnkWjSLgo13OAY+KVDYQJeD4KUt2DCocMy0Uo+lREZpU1bvVBqH3A==}
@@ -1291,8 +1294,8 @@ packages:
   '@milaboratories/uikit@2.11.7':
     resolution: {integrity: sha512-qCgxfOHUhp3E1EfuoKtY314ZvdmFa+xHVQzMVC0cFj5YLJFPlgRc3ZiiEHQGLnrUsoICZxqtICia99fcHoyJrw==}
 
-  '@milaboratories/uikit@2.15.11':
-    resolution: {integrity: sha512-oBQiPXpHEwg1dLptfCQNtpRrJ3stunjrTWiP5U90rAXl4c6Z/Ks7YU/fVvoqdBsoSBQ6nEcAG0Sk4sV8DVRlJQ==}
+  '@milaboratories/uikit@2.15.12':
+    resolution: {integrity: sha512-aJgFQroRdGiW5+Z7coopYAftyk065XXYC6/z31gI/9pr9JQ/edAqMEREK20TUBKG/K3EQExvhc/QR8CMJZWw9A==}
 
   '@napi-rs/wasm-runtime@1.1.4':
     resolution: {integrity: sha512-3NQNNgA1YSlJb/kMH1ildASP9HW7/7kYnRI2szWJaofaS1hWmbGI4H+d3+22aGzXXN9IJ+n+GiFVcGipJP18ow==}
@@ -1778,8 +1781,8 @@ packages:
   '@platforma-open/milaboratories.software-ptabler.schema@1.14.8':
     resolution: {integrity: sha512-wSrsHJB8zgeglndBJBUXnIrJjaeUNKbMhj9uZAFg8OOec8rZXSdoPN6vJcJr6Qf9m4dwsLCM7pplnyO6VzCfxg==}
 
-  '@platforma-open/milaboratories.software-ptabler.schema@1.15.15':
-    resolution: {integrity: sha512-zvPuRZgQyxjED+txJVgWHUOPeRp4TG1jOrJOtuw9WnwxFiHNjQHIB+Xe1j8f6skgMqZgRSQvEbhRvqbWjGmhKQ==}
+  '@platforma-open/milaboratories.software-ptabler.schema@1.15.16':
+    resolution: {integrity: sha512-zgEFbdH7E1uAPzX7BI36Rx0z/T5526K95lH+aDrEp0eEi0kraGpB2Sg5mRAasgItKL4EvUn2cVHbdbPs+BFctA==}
 
   '@platforma-open/milaboratories.software-ptabler@1.15.0':
     resolution: {integrity: sha512-7hbuOsIU3WsmAsBwWoVfP1UyZPBQj/Ec8KGoUBoaAq5VNjVQ7oQR3Nx4co+dIJJ9+cEB3c633Xx1DNxebb5uNQ==}
@@ -1817,8 +1820,8 @@ packages:
   '@platforma-open/milaboratories.xsv-import.model@1.0.4':
     resolution: {integrity: sha512-9aa7+TPpEjBKLWu7bklN89dxIKenPMKZTU7Q648hLRO9GFQ7DhIq2zJGidabPY41jYqk3swTE6Y5zoQuIynhJQ==}
 
-  '@platforma-sdk/block-tools@2.11.6':
-    resolution: {integrity: sha512-CyekNfqEildNeTrkjAeaWC7ah+skGMb3d/crSZSgCWACPIVQwg2oRZiJliwmJU/ylcTONPDAef7DYOtmfXsgtw==}
+  '@platforma-sdk/block-tools@2.11.9':
+    resolution: {integrity: sha512-rwvX3P1gyFPK8alFW+UvkO1T2gnENLPT1Wzpm+LQ2PkAjCMSl57zYnobOnozlHMTA0+isCudYSYCF7SpIifedQ==}
     hasBin: true
 
   '@platforma-sdk/blocks-deps-updater@2.2.0':
@@ -1843,8 +1846,8 @@ packages:
   '@platforma-sdk/model@1.65.4':
     resolution: {integrity: sha512-OVZBOeN9LCQt1AuOd6a4kBrXqTRD+tUukDQxqcsqHdG1lG2y9kJ2RxqUWXVbzIEv2qD0m8owg99KNWEVG35nAQ==}
 
-  '@platforma-sdk/model@1.79.20':
-    resolution: {integrity: sha512-0ULETzwgo4E5rIddn/PoCAY5gSv9luDYAaSp66b8u3u1XTh43k7fgOpobu/rrfHJMiY9IGfzALDlo6jtvMLUyQ==}
+  '@platforma-sdk/model@1.79.24':
+    resolution: {integrity: sha512-ZIoRLpSY7kONOwncIuvZmgFYn5hUiXnKouAHINb0Np0SeYuDnDp2rwfZc4CAkxQB9GNBBqttwWqEIZ6EwhO8dg==}
 
   '@platforma-sdk/package-builder-lib@1.1.0':
     resolution: {integrity: sha512-h/Hx4Fg+kGnX2sVPWJa48JHbSEofTnaOescTKBP1Py5wl3A68BjqKaI6yybLWSR5Ojp3tHNNlvFSAnoF2QYMMg==}
@@ -1853,19 +1856,19 @@ packages:
     resolution: {integrity: sha512-7bRducsc9NLc1zo0GRfz3RHSTejxFfmFvr21EH8NBndGaCj5KvHt2+0jmQsSI1Sl7ZCaj+zQKWWukRlsi+b/uA==}
     hasBin: true
 
-  '@platforma-sdk/tengo-builder@4.0.11':
-    resolution: {integrity: sha512-c0LuiR7vtclto853Q1O+j8g109ooIZKtEl5tqRHG6dN/kk6S+J7DZHCpAjFuZ9pt3x6jF95sNaJEtP8uFs1uXw==}
+  '@platforma-sdk/tengo-builder@4.0.14':
+    resolution: {integrity: sha512-cbuaNSQnHcCNdaN/uYJ68PyLoFOc9ZNwOexjA9Dx2ArWoaVCDQYvjAeWLXSsg6/KT8q8Q+Q5+ocpsyFtRz6bSQ==}
     engines: {node: '>=22'}
     hasBin: true
 
-  '@platforma-sdk/test@1.79.23':
-    resolution: {integrity: sha512-vb5K4Rtjy5ogom3fBYpOxvKL+Nb50iURUdd1vjzN3pcQGx47omBnDr9YvNvUsRC3INhZibLzy44dUKD2la/IMw==}
+  '@platforma-sdk/test@1.79.26':
+    resolution: {integrity: sha512-hQPUZB50OsXUPGN6OVJv1jR8+77RHgK1IU0gZA34E33Pma8vvIGaNxkcUcn/YthhH77w253CwAfUKlKQmWW0Lw==}
 
   '@platforma-sdk/ui-vue@1.63.8':
     resolution: {integrity: sha512-Nv/QhhTlGE8vfw3es+FNiHxrvRBn7M4xP5JPta0qIuDgCV7s0y/yK4hJQkkYuSVmigOGLQuPJGqgAV+wJVQK+g==}
 
-  '@platforma-sdk/ui-vue@1.79.20':
-    resolution: {integrity: sha512-VwBG8MKV1M2KMR2PgW+o6uxJJRCFGihaRsnkzLL8HGKM/Vr9k3FY/V929B1XAhU5y9wb1g7fKNJvy9JNEq5GiQ==}
+  '@platforma-sdk/ui-vue@1.79.24':
+    resolution: {integrity: sha512-yDJjxfYzKrMjuXWajLBylJQnV4t3m5rJ18e0VROnhd/BD9nbxbvDB4pPE1BrAfGF94sje1ci33JYRoA0cJfdXw==}
 
   '@platforma-sdk/workflow-tengo@5.12.0':
     resolution: {integrity: sha512-l3poLNfbIXTl3CYaTMPpBWV/mRaoEWEmc6/Nl7PNPkjLAy6oAfc/4xVw+Ib3Lly7MVeMEMvuVBTz5BbpwzFaIQ==}
@@ -8337,14 +8340,14 @@ snapshots:
       '@types/node': 24.5.2
       utility-types: 3.11.0
 
-  '@milaboratories/graph-maker@1.4.8(@milaboratories/pl-model-common@1.46.2)(@platforma-sdk/model@1.79.20)(@platforma-sdk/ui-vue@1.79.20(@bytecodealliance/preview2-shim@0.17.8)(typescript@5.6.3))(d3-dispatch@3.0.1)(d3-path@3.1.0)(d3-scale-chromatic@3.1.0)(typescript@5.6.3)':
+  '@milaboratories/graph-maker@1.4.8(@milaboratories/pl-model-common@1.46.3)(@platforma-sdk/model@1.79.24)(@platforma-sdk/ui-vue@1.79.24(@bytecodealliance/preview2-shim@0.17.8)(typescript@5.6.3))(d3-dispatch@3.0.1)(d3-path@3.1.0)(d3-scale-chromatic@3.1.0)(typescript@5.6.3)':
     dependencies:
       '@ag-grid-community/core': 32.3.9
       '@milaboratories/helpers': 1.14.2
       '@milaboratories/miplots4': 1.2.3(d3-dispatch@3.0.1)(d3-path@3.1.0)(d3-scale-chromatic@3.1.0)
-      '@milaboratories/pf-plots': 1.4.6(@milaboratories/pl-model-common@1.46.2)(@platforma-sdk/model@1.79.20)
-      '@platforma-sdk/model': 1.79.20
-      '@platforma-sdk/ui-vue': 1.79.20(@bytecodealliance/preview2-shim@0.17.8)(typescript@5.6.3)
+      '@milaboratories/pf-plots': 1.4.6(@milaboratories/pl-model-common@1.46.3)(@platforma-sdk/model@1.79.24)
+      '@platforma-sdk/model': 1.79.24
+      '@platforma-sdk/ui-vue': 1.79.24(@bytecodealliance/preview2-shim@0.17.8)(typescript@5.6.3)
       '@types/d3-hierarchy': 3.1.7
       '@types/d3-scale': 4.0.9
       '@vueuse/core': 13.8.0(vue@3.5.25(typescript@5.6.3))
@@ -8403,13 +8406,13 @@ snapshots:
       - d3-scale-chromatic
       - supports-color
 
-  '@milaboratories/pf-driver@1.7.14(@bytecodealliance/preview2-shim@0.17.8)':
+  '@milaboratories/pf-driver@1.7.15(@bytecodealliance/preview2-shim@0.17.8)':
     dependencies:
       '@milaboratories/helpers': 1.14.2
       '@milaboratories/pframes-rs-node': 1.1.52
-      '@milaboratories/pframes-rs-wasm': 1.1.52(@bytecodealliance/preview2-shim@0.17.8)(@milaboratories/pl-model-common@1.46.2)(@milaboratories/pl-model-middle-layer@1.30.9)
-      '@milaboratories/pl-model-common': 1.46.2
-      '@milaboratories/pl-model-middle-layer': 1.30.9
+      '@milaboratories/pframes-rs-wasm': 1.1.52(@bytecodealliance/preview2-shim@0.17.8)(@milaboratories/pl-model-common@1.46.3)(@milaboratories/pl-model-middle-layer@1.30.10)
+      '@milaboratories/pl-model-common': 1.46.3
+      '@milaboratories/pl-model-middle-layer': 1.30.10
       '@milaboratories/ts-helpers': 1.8.3
       es-toolkit: 1.42.0
       lru-cache: 11.2.4
@@ -8418,11 +8421,11 @@ snapshots:
       - encoding
       - supports-color
 
-  '@milaboratories/pf-plots@1.4.6(@milaboratories/pl-model-common@1.46.2)(@platforma-sdk/model@1.79.20)':
+  '@milaboratories/pf-plots@1.4.6(@milaboratories/pl-model-common@1.46.3)(@platforma-sdk/model@1.79.24)':
     dependencies:
       '@milaboratories/helpers': 1.14.2
-      '@milaboratories/pl-model-common': 1.46.2
-      '@platforma-sdk/model': 1.79.20
+      '@milaboratories/pl-model-common': 1.46.3
+      '@platforma-sdk/model': 1.79.24
       canonicalize: 2.1.0
       lodash: 4.17.23
 
@@ -8436,12 +8439,12 @@ snapshots:
     transitivePeerDependencies:
       - '@bytecodealliance/preview2-shim'
 
-  '@milaboratories/pf-spec-driver@1.4.16(@bytecodealliance/preview2-shim@0.17.8)':
+  '@milaboratories/pf-spec-driver@1.4.17(@bytecodealliance/preview2-shim@0.17.8)':
     dependencies:
       '@milaboratories/helpers': 1.14.2
-      '@milaboratories/pframes-rs-wasm': 1.1.52(@bytecodealliance/preview2-shim@0.17.8)(@milaboratories/pl-model-common@1.46.2)(@milaboratories/pl-model-middle-layer@1.30.9)
-      '@milaboratories/pl-model-common': 1.46.2
-      '@milaboratories/pl-model-middle-layer': 1.30.9
+      '@milaboratories/pframes-rs-wasm': 1.1.52(@bytecodealliance/preview2-shim@0.17.8)(@milaboratories/pl-model-common@1.46.3)(@milaboratories/pl-model-middle-layer@1.30.10)
+      '@milaboratories/pl-model-common': 1.46.3
+      '@milaboratories/pl-model-middle-layer': 1.30.10
       '@noble/hashes': 2.2.0
     transitivePeerDependencies:
       - '@bytecodealliance/preview2-shim'
@@ -8473,18 +8476,18 @@ snapshots:
       '@milaboratories/pl-model-common': 1.31.1
       '@milaboratories/pl-model-middle-layer': 1.16.3
 
-  '@milaboratories/pframes-rs-wasm@1.1.52(@bytecodealliance/preview2-shim@0.17.8)(@milaboratories/pl-model-common@1.46.2)(@milaboratories/pl-model-middle-layer@1.30.9)':
+  '@milaboratories/pframes-rs-wasm@1.1.52(@bytecodealliance/preview2-shim@0.17.8)(@milaboratories/pl-model-common@1.46.3)(@milaboratories/pl-model-middle-layer@1.30.10)':
     dependencies:
       '@bytecodealliance/preview2-shim': 0.17.8
       '@milaboratories/pframes-rs-wasip2': 1.1.52
-      '@milaboratories/pl-model-common': 1.46.2
-      '@milaboratories/pl-model-middle-layer': 1.30.9
+      '@milaboratories/pl-model-common': 1.46.3
+      '@milaboratories/pl-model-middle-layer': 1.30.10
 
-  '@milaboratories/pl-client@3.12.0':
+  '@milaboratories/pl-client@3.13.1':
     dependencies:
       '@grpc/grpc-js': 1.13.4
       '@milaboratories/pl-http': 1.2.4
-      '@milaboratories/pl-model-common': 1.46.2
+      '@milaboratories/pl-model-common': 1.46.3
       '@milaboratories/ts-helpers': 1.8.3
       '@protobuf-ts/grpc-transport': 2.11.1(@grpc/grpc-js@1.13.4)
       '@protobuf-ts/runtime': 2.11.1
@@ -8504,12 +8507,12 @@ snapshots:
       upath: 2.0.1
       yaml: 2.8.1
 
-  '@milaboratories/pl-deployments@3.0.8':
+  '@milaboratories/pl-deployments@3.0.9':
     dependencies:
       '@milaboratories/pl-config': 1.8.2
       '@milaboratories/pl-healthcheck': 1.0.1
       '@milaboratories/pl-http': 1.2.4
-      '@milaboratories/pl-model-common': 1.46.2
+      '@milaboratories/pl-model-common': 1.46.3
       '@milaboratories/ts-helpers': 1.8.3
       decompress: 4.2.1
       ssh2: 1.16.0
@@ -8519,14 +8522,14 @@ snapshots:
       yaml: 2.8.1
       zod: 3.25.76
 
-  '@milaboratories/pl-drivers@1.16.3':
+  '@milaboratories/pl-drivers@1.16.6':
     dependencies:
       '@grpc/grpc-js': 1.13.4
       '@milaboratories/computable': 2.9.5
       '@milaboratories/helpers': 1.14.2
-      '@milaboratories/pl-client': 3.12.0
-      '@milaboratories/pl-model-common': 1.46.2
-      '@milaboratories/pl-tree': 1.12.14
+      '@milaboratories/pl-client': 3.13.1
+      '@milaboratories/pl-model-common': 1.46.3
+      '@milaboratories/pl-tree': 1.12.17
       '@milaboratories/ts-helpers': 1.8.3
       '@protobuf-ts/grpc-transport': 2.11.1(@grpc/grpc-js@1.13.4)
       '@protobuf-ts/plugin': 2.11.1
@@ -8552,9 +8555,9 @@ snapshots:
       json-stringify-safe: 5.0.1
       zod: 3.23.8
 
-  '@milaboratories/pl-errors@1.4.24':
+  '@milaboratories/pl-errors@1.4.27':
     dependencies:
-      '@milaboratories/pl-client': 3.12.0
+      '@milaboratories/pl-client': 3.13.1
       '@milaboratories/ts-helpers': 1.8.3
       zod: 3.25.76
 
@@ -8570,27 +8573,27 @@ snapshots:
     dependencies:
       undici: 7.16.0
 
-  '@milaboratories/pl-middle-layer@1.64.41(@bytecodealliance/preview2-shim@0.17.8)(@types/node@25.3.2)':
+  '@milaboratories/pl-middle-layer@1.65.1(@bytecodealliance/preview2-shim@0.17.8)(@types/node@25.3.2)':
     dependencies:
       '@milaboratories/computable': 2.9.5
       '@milaboratories/helpers': 1.14.2
-      '@milaboratories/pf-driver': 1.7.14(@bytecodealliance/preview2-shim@0.17.8)
-      '@milaboratories/pf-spec-driver': 1.4.16(@bytecodealliance/preview2-shim@0.17.8)
+      '@milaboratories/pf-driver': 1.7.15(@bytecodealliance/preview2-shim@0.17.8)
+      '@milaboratories/pf-spec-driver': 1.4.17(@bytecodealliance/preview2-shim@0.17.8)
       '@milaboratories/pframes-rs-node': 1.1.52
-      '@milaboratories/pframes-rs-wasm': 1.1.52(@bytecodealliance/preview2-shim@0.17.8)(@milaboratories/pl-model-common@1.46.2)(@milaboratories/pl-model-middle-layer@1.30.9)
-      '@milaboratories/pl-client': 3.12.0
-      '@milaboratories/pl-deployments': 3.0.8
-      '@milaboratories/pl-drivers': 1.16.3
-      '@milaboratories/pl-errors': 1.4.24
+      '@milaboratories/pframes-rs-wasm': 1.1.52(@bytecodealliance/preview2-shim@0.17.8)(@milaboratories/pl-model-common@1.46.3)(@milaboratories/pl-model-middle-layer@1.30.10)
+      '@milaboratories/pl-client': 3.13.1
+      '@milaboratories/pl-deployments': 3.0.9
+      '@milaboratories/pl-drivers': 1.16.6
+      '@milaboratories/pl-errors': 1.4.27
       '@milaboratories/pl-http': 1.2.4
-      '@milaboratories/pl-model-backend': 1.4.9
-      '@milaboratories/pl-model-common': 1.46.2
-      '@milaboratories/pl-model-middle-layer': 1.30.9
-      '@milaboratories/pl-tree': 1.12.14
+      '@milaboratories/pl-model-backend': 1.4.12
+      '@milaboratories/pl-model-common': 1.46.3
+      '@milaboratories/pl-model-middle-layer': 1.30.10
+      '@milaboratories/pl-tree': 1.12.17
       '@milaboratories/resolve-helper': 1.1.3
       '@milaboratories/ts-helpers': 1.8.3
-      '@platforma-sdk/block-tools': 2.11.6(@types/node@25.3.2)
-      '@platforma-sdk/model': 1.79.20
+      '@platforma-sdk/block-tools': 2.11.9(@types/node@25.3.2)
+      '@platforma-sdk/model': 1.79.24
       '@platforma-sdk/workflow-tengo': 6.6.5
       canonicalize: 2.1.0
       denque: 2.1.0
@@ -8609,9 +8612,9 @@ snapshots:
       - encoding
       - supports-color
 
-  '@milaboratories/pl-model-backend@1.4.9':
+  '@milaboratories/pl-model-backend@1.4.12':
     dependencies:
-      '@milaboratories/pl-client': 3.12.0
+      '@milaboratories/pl-client': 3.13.1
       canonicalize: 2.1.0
       zod: 3.25.76
 
@@ -8636,6 +8639,13 @@ snapshots:
       canonicalize: 2.1.0
       zod: 3.25.76
 
+  '@milaboratories/pl-model-common@1.46.3':
+    dependencies:
+      '@milaboratories/helpers': 1.14.2
+      '@milaboratories/pl-error-like': 1.12.10
+      canonicalize: 2.1.0
+      zod: 3.25.76
+
   '@milaboratories/pl-model-middle-layer@1.16.3':
     dependencies:
       '@milaboratories/helpers': 1.14.1
@@ -8652,15 +8662,15 @@ snapshots:
       utility-types: 3.11.0
       zod: 3.25.76
 
-  '@milaboratories/pl-model-middle-layer@1.30.7':
+  '@milaboratories/pl-model-middle-layer@1.30.10':
     dependencies:
       '@milaboratories/helpers': 1.14.2
-      '@milaboratories/pl-model-common': 1.46.2
+      '@milaboratories/pl-model-common': 1.46.3
       es-toolkit: 1.42.0
       utility-types: 3.11.0
       zod: 3.25.76
 
-  '@milaboratories/pl-model-middle-layer@1.30.9':
+  '@milaboratories/pl-model-middle-layer@1.30.7':
     dependencies:
       '@milaboratories/helpers': 1.14.2
       '@milaboratories/pl-model-common': 1.46.2
@@ -8668,19 +8678,19 @@ snapshots:
       utility-types: 3.11.0
       zod: 3.25.76
 
-  '@milaboratories/pl-tree@1.12.14':
+  '@milaboratories/pl-tree@1.12.17':
     dependencies:
       '@milaboratories/computable': 2.9.5
-      '@milaboratories/pl-client': 3.12.0
-      '@milaboratories/pl-errors': 1.4.24
+      '@milaboratories/pl-client': 3.13.1
+      '@milaboratories/pl-errors': 1.4.27
       '@milaboratories/ts-helpers': 1.8.3
       denque: 2.1.0
       utility-types: 3.11.0
       zod: 3.25.76
 
-  '@milaboratories/ptabler-expression-js@1.2.31':
+  '@milaboratories/ptabler-expression-js@1.2.32':
     dependencies:
-      '@platforma-open/milaboratories.software-ptabler.schema': 1.15.15
+      '@platforma-open/milaboratories.software-ptabler.schema': 1.15.16
 
   '@milaboratories/ptabler-expression-js@1.2.5':
     dependencies:
@@ -8706,7 +8716,7 @@ snapshots:
       oxlint: 1.63.0
       oxlint-plugin-eslint: 1.63.0
       rolldown: 1.1.3
-      rolldown-plugin-dts: 0.26.0(rolldown@1.1.3)(typescript@5.9.3)(vue-tsc@3.3.5(typescript@5.6.3))
+      rolldown-plugin-dts: 0.26.0(rolldown@1.1.3)(typescript@5.9.3)(vue-tsc@3.3.5(typescript@5.9.3))
       rollup-plugin-copy: 3.5.0
       rollup-plugin-sourcemaps2: 0.5.6(@types/node@25.3.2)(rollup@4.53.3)
       typescript: 5.9.3
@@ -8747,7 +8757,7 @@ snapshots:
       oxlint: 1.63.0
       oxlint-plugin-eslint: 1.63.0
       rolldown: 1.1.3
-      rolldown-plugin-dts: 0.26.0(rolldown@1.1.3)(typescript@5.9.3)(vue-tsc@3.3.5(typescript@5.6.3))
+      rolldown-plugin-dts: 0.26.0(rolldown@1.1.3)(typescript@5.9.3)(vue-tsc@3.3.5(typescript@5.9.3))
       rollup-plugin-copy: 3.5.0
       rollup-plugin-sourcemaps2: 0.5.6(@types/node@25.3.2)(rollup@4.53.3)
       typescript: 5.9.3
@@ -8788,7 +8798,7 @@ snapshots:
       oxlint: 1.63.0
       oxlint-plugin-eslint: 1.63.0
       rolldown: 1.1.3
-      rolldown-plugin-dts: 0.26.0(rolldown@1.1.3)(typescript@5.9.3)(vue-tsc@3.3.5(typescript@5.6.3))
+      rolldown-plugin-dts: 0.26.0(rolldown@1.1.3)(typescript@5.9.3)(vue-tsc@3.3.5(typescript@5.9.3))
       rollup-plugin-copy: 3.5.0
       rollup-plugin-sourcemaps2: 0.5.6(@types/node@25.3.2)(rollup@4.53.3)
       typescript: 5.9.3
@@ -8861,10 +8871,10 @@ snapshots:
       - typescript
       - universal-cookie
 
-  '@milaboratories/uikit@2.15.11(typescript@5.6.3)':
+  '@milaboratories/uikit@2.15.12(typescript@5.6.3)':
     dependencies:
       '@milaboratories/helpers': 1.14.2
-      '@platforma-sdk/model': 1.79.20
+      '@platforma-sdk/model': 1.79.24
       '@types/d3-array': 3.2.1
       '@types/d3-axis': 3.0.6
       '@types/d3-scale': 4.0.9
@@ -9311,9 +9321,9 @@ snapshots:
     dependencies:
       '@milaboratories/pl-model-common': 1.31.2
 
-  '@platforma-open/milaboratories.software-ptabler.schema@1.15.15':
+  '@platforma-open/milaboratories.software-ptabler.schema@1.15.16':
     dependencies:
-      '@milaboratories/pl-model-common': 1.46.2
+      '@milaboratories/pl-model-common': 1.46.3
 
   '@platforma-open/milaboratories.software-ptabler@1.15.0': {}
 
@@ -9350,17 +9360,17 @@ snapshots:
 
   '@platforma-open/milaboratories.xsv-import.model@1.0.4':
     dependencies:
-      '@platforma-sdk/model': 1.79.20
+      '@platforma-sdk/model': 1.79.24
       fast-json-patch: 3.1.1
 
-  '@platforma-sdk/block-tools@2.11.6(@types/node@25.3.2)':
+  '@platforma-sdk/block-tools@2.11.9(@types/node@25.3.2)':
     dependencies:
       '@aws-sdk/client-s3': 3.859.0
       '@inquirer/prompts': 7.10.1(@types/node@25.3.2)
       '@milaboratories/pl-http': 1.2.4
-      '@milaboratories/pl-model-backend': 1.4.9
-      '@milaboratories/pl-model-common': 1.46.2
-      '@milaboratories/pl-model-middle-layer': 1.30.9
+      '@milaboratories/pl-model-backend': 1.4.12
+      '@milaboratories/pl-model-common': 1.46.3
+      '@milaboratories/pl-model-middle-layer': 1.30.10
       '@milaboratories/resolve-helper': 1.1.3
       '@milaboratories/ts-helpers': 1.8.3
       '@platforma-sdk/blocks-deps-updater': 2.2.0
@@ -9417,13 +9427,13 @@ snapshots:
       utility-types: 3.11.0
       zod: 3.25.76
 
-  '@platforma-sdk/model@1.79.20':
+  '@platforma-sdk/model@1.79.24':
     dependencies:
       '@milaboratories/helpers': 1.14.2
       '@milaboratories/pl-error-like': 1.12.10
-      '@milaboratories/pl-model-common': 1.46.2
-      '@milaboratories/pl-model-middle-layer': 1.30.9
-      '@milaboratories/ptabler-expression-js': 1.2.31
+      '@milaboratories/pl-model-common': 1.46.3
+      '@milaboratories/pl-model-middle-layer': 1.30.10
+      '@milaboratories/ptabler-expression-js': 1.2.32
       canonicalize: 2.1.0
       es-toolkit: 1.42.0
       fast-json-patch: 3.1.1
@@ -9451,22 +9461,22 @@ snapshots:
     transitivePeerDependencies:
       - aws-crt
 
-  '@platforma-sdk/tengo-builder@4.0.11':
+  '@platforma-sdk/tengo-builder@4.0.14':
     dependencies:
-      '@milaboratories/pl-model-backend': 1.4.9
+      '@milaboratories/pl-model-backend': 1.4.12
       '@milaboratories/resolve-helper': 1.1.3
       '@milaboratories/tengo-tester': 1.6.4
       '@milaboratories/ts-helpers': 1.8.3
       commander: 15.0.0
       winston: 3.17.0
 
-  '@platforma-sdk/test@1.79.23(@bytecodealliance/preview2-shim@0.17.8)(@types/node@25.3.2)(vite@8.0.8(@types/node@25.3.2)(yaml@2.8.1))':
+  '@platforma-sdk/test@1.79.26(@bytecodealliance/preview2-shim@0.17.8)(@types/node@25.3.2)(vite@8.0.8(@types/node@25.3.2)(yaml@2.8.1))':
     dependencies:
       '@milaboratories/computable': 2.9.5
-      '@milaboratories/pl-client': 3.12.0
-      '@milaboratories/pl-middle-layer': 1.64.41(@bytecodealliance/preview2-shim@0.17.8)(@types/node@25.3.2)
-      '@milaboratories/pl-tree': 1.12.14
-      '@platforma-sdk/model': 1.79.20
+      '@milaboratories/pl-client': 3.13.1
+      '@milaboratories/pl-middle-layer': 1.65.1(@bytecodealliance/preview2-shim@0.17.8)(@types/node@25.3.2)
+      '@milaboratories/pl-tree': 1.12.17
+      '@platforma-sdk/model': 1.79.24
       '@vitest/coverage-istanbul': 4.1.4(vitest@4.1.4)
       vitest: 4.1.4(@types/node@25.3.2)(@vitest/coverage-istanbul@4.1.4)(vite@8.0.8(@types/node@25.3.2)(yaml@2.8.1))
     transitivePeerDependencies:
@@ -9522,12 +9532,12 @@ snapshots:
       - typescript
       - universal-cookie
 
-  '@platforma-sdk/ui-vue@1.79.20(@bytecodealliance/preview2-shim@0.17.8)(typescript@5.6.3)':
+  '@platforma-sdk/ui-vue@1.79.24(@bytecodealliance/preview2-shim@0.17.8)(typescript@5.6.3)':
     dependencies:
-      '@milaboratories/pf-spec-driver': 1.4.16(@bytecodealliance/preview2-shim@0.17.8)
-      '@milaboratories/pl-model-common': 1.46.2
-      '@milaboratories/uikit': 2.15.11(typescript@5.6.3)
-      '@platforma-sdk/model': 1.79.20
+      '@milaboratories/pf-spec-driver': 1.4.17(@bytecodealliance/preview2-shim@0.17.8)
+      '@milaboratories/pl-model-common': 1.46.3
+      '@milaboratories/uikit': 2.15.12(typescript@5.6.3)
+      '@platforma-sdk/model': 1.79.24
       '@types/d3-format': 3.0.4
       '@types/node': 24.5.2
       '@types/semver': 7.7.0
@@ -12805,7 +12815,7 @@ snapshots:
       istanbul-lib-report: 3.0.1
       istanbul-reports: 3.2.0
       magicast: 0.5.2
-      obug: 2.1.1
+      obug: 2.1.3
       tinyrainbow: 3.1.0
       vitest: 4.1.4(@types/node@25.3.2)(@vitest/coverage-istanbul@4.1.4)(vite@8.0.8(@types/node@25.3.2)(yaml@2.8.1))
     transitivePeerDependencies:
@@ -14822,7 +14832,7 @@ snapshots:
     dependencies:
       glob: 10.4.5
 
-  rolldown-plugin-dts@0.26.0(rolldown@1.1.3)(typescript@5.9.3)(vue-tsc@3.3.5(typescript@5.6.3)):
+  rolldown-plugin-dts@0.26.0(rolldown@1.1.3)(typescript@5.9.3)(vue-tsc@3.3.5(typescript@5.9.3)):
     dependencies:
       '@babel/generator': 8.0.0
       '@babel/helper-validator-identifier': 8.0.2
diff --git a/pnpm-workspace.yaml b/pnpm-workspace.yaml
index 024a117..7a325ef 100644
--- a/pnpm-workspace.yaml
+++ b/pnpm-workspace.yaml
@@ -11,12 +11,12 @@ catalog:
   "@milaboratories/ts-builder": 1.6.0
   "@milaboratories/ts-configs": 1.3.0
   "@platforma-sdk/workflow-tengo": 6.6.5
-  "@platforma-sdk/block-tools": 2.11.6
-  "@platforma-sdk/model": 1.79.20
-  "@platforma-sdk/ui-vue": 1.79.20
-  "@platforma-sdk/test": 1.79.23
+  "@platforma-sdk/block-tools": 2.11.9
+  "@platforma-sdk/model": 1.79.24
+  "@platforma-sdk/ui-vue": 1.79.24
+  "@platforma-sdk/test": 1.79.26
   "@milaboratories/helpers": 1.14.2
-  "@platforma-sdk/tengo-builder": 4.0.11
+  "@platforma-sdk/tengo-builder": 4.0.14
   "@platforma-sdk/package-builder": 3.14.0
   "@platforma-sdk/blocks-deps-updater": 2.2.0
   "@platforma-sdk/eslint-config": 1.2.0
diff --git a/software/src/main.py b/software/src/main.py
index bf4ad94..acdde44 100644
--- a/software/src/main.py
+++ b/software/src/main.py
@@ -11,11 +11,34 @@
 
 import os
 
-# Pin the polars thread pool to 1 BEFORE polars (or anything importing it,
-# including `pipeline`) is loaded — POLARS_MAX_THREADS is read once at import.
-# The block reserves cpu(1), and single-threaded execution keeps output
-# byte-stable (no thread-count-dependent reduction order). setdefault so an
-# explicit override from the environment still wins.
+# Thread configuration MUST be set before numpy / polars are imported — both
+# read their thread-pool size once, at import time.
+#
+# BLAS / OpenMP intra-op threads -> 1 (forced). The vectorized engine's only
+# order-sensitive step is the `counts @ weights` matvec (vectorized.py): if a
+# single dot-product reduction is split across threads, the float summation
+# order — and therefore the emitted TSV bytes and the resource CID — becomes
+# thread-count dependent. Pinning every BLAS backend to one intra-op thread
+# keeps that reduction bit-identical. This is the load-bearing half of the
+# determinism contract, so it is forced, not setdefault.
+for _thread_var in (
+    "OMP_NUM_THREADS",
+    "OPENBLAS_NUM_THREADS",
+    "MKL_NUM_THREADS",
+    "NUMEXPR_NUM_THREADS",
+    "VECLIB_MAXIMUM_THREADS",
+):
+    os.environ[_thread_var] = "1"
+
+# Polars parallelism is safe to scale across cores: every polars op the pipeline
+# uses (CSV read, concat_str chain reconstruction, the aa_fraction explode, the
+# unique-key output sort, CSV write) is deterministic regardless of thread count
+# — none is a cross-row float reduction, and the sorts are total orders on unique
+# keys. This value also sizes the numpy pI-bisection worker pool (see
+# vectorized._n_workers). The workflow sets POLARS_MAX_THREADS to the cores the
+# backend actually grants (the {system.cpu} command expression = the resolved
+# cpuFormula value); setdefault to 1 keeps local / test runs single-threaded
+# unless they opt in.
 os.environ.setdefault("POLARS_MAX_THREADS", "1")
 
 import argparse
@@ -42,6 +65,10 @@ def _configure_logging() -> None:
 
 def main(argv: list[str] | None = None) -> int:
     _configure_logging()
+    logging.getLogger(__name__).info(
+        "thread config: POLARS_MAX_THREADS=%s, BLAS intra-op threads pinned to 1",
+        os.environ["POLARS_MAX_THREADS"],
+    )
     parser = argparse.ArgumentParser(prog="compute-properties")
     parser.add_argument("--input", required=True, help="path to input entity TSV")
     parser.add_argument("--plan", required=True, help="path to plan JSON")
diff --git a/software/src/pipeline.py b/software/src/pipeline.py
index 4d7c12f..edf9c68 100644
--- a/software/src/pipeline.py
+++ b/software/src/pipeline.py
@@ -33,6 +33,12 @@
 
 PH = 7.0  # All charge values computed at pH 7 (spec default).
 
+# Regex character class matching a standard residue (either case), derived from
+# the single source of truth STANDARD_AAS so it cannot drift from
+# properties.effective_length / the count substrate. STANDARD_AAS is all letters,
+# so it needs no regex escaping.
+_STANDARD_AA_CLASS = "[" + STANDARD_AAS + STANDARD_AAS.lower() + "]"
+
 
 # ---------------------------------------------------------------------------
 # CID quantization
@@ -186,7 +192,13 @@ def run_peptide(reads: pl.DataFrame) -> dict[str, Any]:
     n = len(seqs)
 
     log.info("Computing peptide properties + AA fractions (%d sequences)", n)
-    sub = vec.build_counts(seqs)
+    # Clean the column ONCE and share the _Cleaned between the count substrate and
+    # the instability index — the same pattern the antibody full-chain path uses.
+    # The old code called build_counts(seqs) and instability_index(seqs)
+    # separately, each running a full _clean_vectorized pass (the dominant per-row
+    # cost), so the column was cleaned twice.
+    cleaned = vec._clean_vectorized(seqs)
+    sub = vec.counts_from_cleaned(cleaned)
 
     eox, ered = vec.extinction(sub)
     prop_arrays: dict[str, np.ndarray] = {
@@ -197,7 +209,7 @@ def run_peptide(reads: pl.DataFrame) -> dict[str, Any]:
         "pi_peptide": vec.isoelectric_point(sub, IPC2_PEPTIDE, include_cys=True),
         "eox_peptide": eox,
         "ered_peptide": ered,
-        "instability_peptide": vec.instability_index(seqs),
+        "instability_peptide": vec.instability_from_cleaned(cleaned),
         "aliphatic_peptide": vec.aliphatic_index(sub),
         "aromaticity_peptide": vec.aromaticity(sub),
     }
@@ -210,19 +222,27 @@ def run_peptide(reads: pl.DataFrame) -> dict[str, Any]:
 
     # AA-fraction long frame from the (N, 20) mole-fraction matrix: 20 rows per
     # entity (one per STANDARD_AAS), value NaN -> null for invalid entities so
-    # the 2-axis PColumn keeps a uniform shape across entities. The long-format
-    # entity axis needs Python-level repetition, so materialize keys here.
+    # the 2-axis PColumn keeps a uniform shape across entities.
+    #
+    # Built polars-native: assemble a wide frame (entity_key + one Float64 column
+    # per standard AA, in STANDARD_AAS order), then unpivot to the long
+    # (entity_key, aminoAcid, value) contract. This replaces the old
+    # `[k for k in keys for _ in STANDARD_AAS]` construction, which materialized
+    # two 20*N-element Python lists — the dominant peptide-mode memory transient —
+    # and lets polars parallelize the reshape. The unpivot reorders the rows, but
+    # write_output_tsv sorts by (entity_key, aminoAcid), so the emitted bytes are
+    # unchanged. np.ascontiguousarray keeps each column slice contiguous, so the
+    # pl.Series build never hits a strided-array path.
     fractions = vec.aa_fractions(sub)  # (N, 20), NaN for invalid rows
-    keys = key_series.to_list()
-    aa_entity = [k for k in keys for _ in STANDARD_AAS]
-    aa_amino = list(STANDARD_AAS) * n
-    aa_value = fractions.reshape(-1)  # row-major: entity 0's 20 AAs, then entity 1's, ...
-    aa_fraction = pl.DataFrame(
-        {
-            "entity_key": pl.Series(values=aa_entity, dtype=pl.Utf8),
-            "aminoAcid": pl.Series(values=aa_amino, dtype=pl.Utf8),
-            "value": _na_to_null(aa_value),
-        }
+    wide = pl.DataFrame(
+        {"entity_key": key_series}
+        | {aa: _na_to_null(np.ascontiguousarray(fractions[:, i])) for i, aa in enumerate(STANDARD_AAS)}
+    )
+    aa_fraction = wide.unpivot(
+        index="entity_key",
+        on=list(STANDARD_AAS),
+        variable_name="aminoAcid",
+        value_name="value",
     )
     # Quantize at the output boundary like the property columns, through the
     # shared CID-stability helper. aaFraction displays as .3f; round to 5 dp (one
@@ -304,7 +324,21 @@ def _median_cdr3_length_by_chain(reads: pl.DataFrame, chains: list[str]) -> dict
         col = f"{ch}_CDR3"
         if col not in reads.columns:
             continue
-        lengths = [effective_length(s) for s in reads[col].to_list() if s]
+        # Effective length = count of standard-AA characters (case-insensitive),
+        # matching properties.effective_length, computed vectorized in polars over
+        # the whole column instead of one Python call per row (the dominant
+        # antibody-mode stats cost). Only non-empty CDR3 cells count (`if s` in the
+        # scalar form drops null and ""). The median formula below is unchanged, so
+        # the emitted stat is byte-identical.
+        lengths = (
+            reads.select(
+                pl.col(col)
+                .filter(pl.col(col).is_not_null() & (pl.col(col) != ""))
+                .str.count_matches(_STANDARD_AA_CLASS)
+            )
+            .to_series()
+            .to_list()
+        )
         if not lengths:
             continue
         lengths.sort()
diff --git a/software/src/vectorized.py b/software/src/vectorized.py
index 03f2957..fd97202 100644
--- a/software/src/vectorized.py
+++ b/software/src/vectorized.py
@@ -5,6 +5,8 @@
 from __future__ import annotations
 
 import math
+import os
+from concurrent.futures import ThreadPoolExecutor
 from dataclasses import dataclass
 
 import numpy as np
@@ -219,7 +221,7 @@ def _clean_vectorized(seqs: list[str | None]) -> _Cleaned:
 def counts_from_cleaned(cl: _Cleaned) -> Substrate:
     """Build the (N, 20) count substrate from an already-cleaned column.
 
-    Counts are scattered with a single `np.add.at` over the
+    Counts are scattered with a single flattened `np.bincount` over the
     (candidate-local-row, AA-index) pairs, then mapped back to the full N rows.
     A candidate is valid iff at least one standard residue remained
     (lengths > 0) — reproducing the scalar `clean_sequence(...) or None` rule.
@@ -234,9 +236,14 @@ def counts_from_cleaned(cl: _Cleaned) -> Substrate:
     valid = np.zeros(n, dtype=bool)
     n_cand = len(cl.cand_rows)
     if n_cand:
-        cand_counts = np.zeros((n_cand, 20), dtype=np.int64)
         if cl.aa_flat.size:
-            np.add.at(cand_counts, (cl.row_of_res, cl.aa_flat.astype(np.intp)), 1)
+            # 2D count histogram via a single flattened bincount rather than
+            # np.add.at's unbuffered scatter (~3x faster, bit-identical for
+            # integer counts). Flat index = candidate-row * 20 + AA-index.
+            flat = cl.row_of_res.astype(np.int64) * 20 + cl.aa_flat
+            cand_counts = np.bincount(flat, minlength=n_cand * 20).reshape(n_cand, 20).astype(np.int64, copy=False)
+        else:
+            cand_counts = np.zeros((n_cand, 20), dtype=np.int64)
         counts[cl.cand_rows] = cand_counts
         valid[cl.cand_rows] = cl.lengths > 0
     length = counts.sum(axis=1)
@@ -339,28 +346,47 @@ def aa_fractions(sub: Substrate) -> np.ndarray:
 # --------------------------------------------------------------------------- #
 
 
-def _charge_raw(sub: Substrate, ph: float, pka_set: PKaSet, include_cys: bool) -> np.ndarray:
+def _charge_raw(
+    sub: Substrate, ph: float, pka_set: PKaSet, include_cys: bool, ten_ph: np.ndarray | None = None
+) -> np.ndarray:
     """Vectorized BioPython charge_at_pH over ALL rows — finite for every row,
     invalid rows are NOT masked here. The public wrappers apply NaN via _mask.
 
-    Kept finite-for-all-rows on purpose: the pI bisection (Task 8) reuses this
-    over the same count matrix and needs a clean charge value per row.
+    Kept finite-for-all-rows on purpose: the pI bisection reuses this over the
+    same count matrix and needs a clean charge value per row.
+
+    Computes 10**ph ONCE and reuses it for every pKa term via a scalar factor
+    (10**(ph-pk) = 10**ph * 10**(-pk); 10**(pk-ph) = 10**pk / 10**ph) instead of a
+    separate 10**(ph±pk) per amino acid. `ph` is an (N,) array during the pI
+    bisection, so this replaces ~7 array-wide transcendentals with one (~2.4x
+    faster on the charge path). Callers that evaluate charge for two substrates at
+    the SAME `ph` (the Fv pI path) can precompute `10**ph` once and pass it as
+    `ten_ph`, sharing that array transcendental across both chains.
+
+    The FP drift vs the per-AA form is ~1e-15 — below the 1e-6 parity tolerance
+    and the 3-dp charge/pI quantization, so the output is unchanged within the
+    quantized-equal contract (verified byte-identical against the pre-change
+    engine on the test corpus). The one theoretical exception is a bisection
+    midpoint whose net charge lands within ~1e-15 of zero, which could flip a
+    branch — astronomically rare and never observed.
     """
     c = sub.counts
+    if ten_ph is None:
+        ten_ph = 10.0**ph  # single transcendental; ph may be scalar or (N,)
     # One N-terminus per sequence (count = 1), basic side chains K/R/H.
-    pos = 1.0 / (10 ** (ph - pka_set.n_terminus) + 1.0)
+    pos = 1.0 / (ten_ph * (10.0 ** (-pka_set.n_terminus)) + 1.0)
     for aa in ("K", "R", "H"):
         pk = pka_set.side_chain[aa]
-        pos = pos + c[:, _AA_INDEX[aa]] * (1.0 / (10 ** (ph - pk) + 1.0))
+        pos = pos + c[:, _AA_INDEX[aa]] * (1.0 / (ten_ph * (10.0 ** (-pk)) + 1.0))
 
     # One C-terminus per sequence (count = 1), acidic side chains D/E/Y (+C).
-    neg = 1.0 / (10 ** (pka_set.c_terminus - ph) + 1.0)
+    neg = 1.0 / ((10.0**pka_set.c_terminus) / ten_ph + 1.0)
     neg_aas = ["D", "E", "Y"]
     if include_cys and "C" in pka_set.side_chain:
         neg_aas.append("C")
     for aa in neg_aas:
         pk = pka_set.side_chain[aa]
-        neg = neg + c[:, _AA_INDEX[aa]] * (1.0 / (10 ** (pk - ph) + 1.0))
+        neg = neg + c[:, _AA_INDEX[aa]] * (1.0 / ((10.0**pk) / ten_ph + 1.0))
 
     return pos - neg
 
@@ -446,6 +472,46 @@ def _bisect_charge_zero_vec(
     return pi
 
 
+_PARALLEL_MIN_ROWS = 50_000
+
+
+def _n_workers() -> int:
+    """Row-parallel worker count = the allocated core count. The workflow sets
+    POLARS_MAX_THREADS to the cores the backend grants, so this stays in lockstep
+    with the CPU quota; defaults to 1 (serial) for local / test runs."""
+    try:
+        return max(1, int(os.environ.get("POLARS_MAX_THREADS", "1")))
+    except ValueError:
+        return 1
+
+
+def _bisect_rows_parallel(make_charge_fn, valid, lo=0.0, hi=14.0, tol=1e-3):
+    """Row-parallel wrapper around `_bisect_charge_zero_vec`.
+
+    `make_charge_fn(a, b)` returns a charge function bound to rows [a, b). Rows
+    are split into contiguous, data-independent blocks and bisected on separate
+    threads (numpy's elementwise pow / where release the GIL), then concatenated
+    in row order. Each row's bisection depends only on that row's own counts, so
+    the result is bit-identical to the serial path regardless of the block
+    count — the byte-stability contract holds independent of worker count. Small
+    inputs run serial to avoid thread-dispatch overhead.
+    """
+    n = len(valid)
+    workers = _n_workers()
+    if workers <= 1 or n < _PARALLEL_MIN_ROWS:
+        return _bisect_charge_zero_vec(make_charge_fn(0, n), valid, lo=lo, hi=hi, tol=tol)
+    edges = [(n * i) // workers for i in range(workers + 1)]
+    blocks = [(edges[i], edges[i + 1]) for i in range(workers) if edges[i] < edges[i + 1]]
+
+    def run_block(ab):
+        a, b = ab
+        return _bisect_charge_zero_vec(make_charge_fn(a, b), valid[a:b], lo=lo, hi=hi, tol=tol)
+
+    with ThreadPoolExecutor(max_workers=len(blocks)) as ex:
+        parts = list(ex.map(run_block, blocks))
+    return np.concatenate(parts)
+
+
 def isoelectric_point(
     sub: Substrate,
     pka_set: PKaSet,
@@ -454,20 +520,19 @@ def isoelectric_point(
     hi: float = 14.0,
     tol: float = 1e-3,
 ) -> np.ndarray:
-    """Vectorized pI: lockstep fixed-iteration bisection of `_charge_raw` over
-    all rows, bit-identical to the scalar `properties.isoelectric_point`.
+    """Vectorized pI: lockstep fixed-iteration bisection of `_charge_raw`,
+    bit-identical to the scalar `properties.isoelectric_point`.
 
-    Delegates the bisection to `_bisect_charge_zero_vec`; `_charge_raw` is
-    bit-identical to the scalar charge (charge parity = 0.0), so the pI is
-    bit-identical to the scalar pI for every valid sequence.
+    Row-parallel across `_n_workers()` threads (see `_bisect_rows_parallel`); the
+    per-row bisection is unchanged, so the pI is bit-identical to the scalar pI
+    for every valid sequence and independent of the worker count.
     """
-    return _bisect_charge_zero_vec(
-        lambda ph: _charge_raw(sub, ph, pka_set, include_cys),
-        sub.valid,
-        lo=lo,
-        hi=hi,
-        tol=tol,
-    )
+
+    def make(a: int, b: int):
+        block = Substrate(counts=sub.counts[a:b], length=sub.length[a:b], valid=sub.valid[a:b])
+        return lambda ph: _charge_raw(block, ph, pka_set, include_cys)
+
+    return _bisect_rows_parallel(make, sub.valid, lo=lo, hi=hi, tol=tol)
 
 
 def fv_isoelectric_point(
@@ -492,13 +557,20 @@ def fv_isoelectric_point(
     Returns float64, NaN where either chain is invalid or no zero crossing.
     """
     valid = sub_vh.valid & sub_vl.valid
-    return _bisect_charge_zero_vec(
-        lambda ph: _charge_raw(sub_vh, ph, pka_set, include_cys) + _charge_raw(sub_vl, ph, pka_set, include_cys),
-        valid,
-        lo=lo,
-        hi=hi,
-        tol=tol,
-    )
+
+    def make(a: int, b: int):
+        vh = Substrate(counts=sub_vh.counts[a:b], length=sub_vh.length[a:b], valid=sub_vh.valid[a:b])
+        vl = Substrate(counts=sub_vl.counts[a:b], length=sub_vl.length[a:b], valid=sub_vl.valid[a:b])
+
+        def charge_sum(ph):
+            # Both chains share the same ph, so compute the (N,) 10**ph transcendental
+            # once and pass it to both instead of recomputing it in each _charge_raw.
+            ten_ph = 10.0**ph
+            return _charge_raw(vh, ph, pka_set, include_cys, ten_ph) + _charge_raw(vl, ph, pka_set, include_cys, ten_ph)
+
+        return charge_sum
+
+    return _bisect_rows_parallel(make, valid, lo=lo, hi=hi, tol=tol)
 
 
 # --------------------------------------------------------------------------- #
@@ -550,8 +622,11 @@ def instability_from_cleaned(cl: _Cleaned) -> np.ndarray:
         right = aa[1:][same]
         pair_row = rows[:-1][same]
         weights = _DIWV[left, right]
-        score = np.zeros(n_cand, dtype=np.float64)
-        np.add.at(score, pair_row, weights)
+        # Weighted per-candidate sum via bincount instead of np.add.at. Both
+        # accumulate weights[i] into bin pair_row[i] in array order, so the float
+        # summation order — and the result — is identical, while bincount is
+        # ~3x faster. Empty pair_row (no same-row adjacent pair) -> zeros.
+        score = np.bincount(pair_row, weights=weights, minlength=n_cand)
     else:
         score = np.zeros(n_cand, dtype=np.float64)
 
diff --git a/software/tests/integration/test_determinism.py b/software/tests/integration/test_determinism.py
index 2f20601..d4a615b 100644
--- a/software/tests/integration/test_determinism.py
+++ b/software/tests/integration/test_determinism.py
@@ -21,6 +21,8 @@
 
 import hashlib
 import json
+import os
+import random
 import subprocess
 import sys
 from pathlib import Path
@@ -53,8 +55,19 @@ def _run_cli_subprocess(
     out_tsv: Path,
     aa_tsv: Path,
     stats_json: Path,
+    polars_threads: int | None = None,
 ) -> None:
-    """Invoke main.py in a fresh subprocess. Independent hash seed per call."""
+    """Invoke main.py in a fresh subprocess. Independent hash seed per call.
+
+    `polars_threads`, when given, sets POLARS_MAX_THREADS for this run so callers
+    can prove the output is invariant to the polars thread-pool size. main.py
+    pins the BLAS intra-op threads to 1 regardless of environment, so the only
+    concurrency that varies across runs is the polars parallelism — exactly the
+    knob the workflow raises via cpu(N).
+    """
+    env = None
+    if polars_threads is not None:
+        env = {**os.environ, "POLARS_MAX_THREADS": str(polars_threads)}
     result = subprocess.run(
         [
             sys.executable,
@@ -73,6 +86,7 @@ def _run_cli_subprocess(
         capture_output=True,
         text=True,
         check=False,
+        env=env,
     )
     assert result.returncode == 0, f"main.py failed (rc={result.returncode}); stderr=\n{result.stderr}"
 
@@ -169,6 +183,9 @@ def _assert_all_three_byte_identical(a: dict[str, Path], b: dict[str, Path]) ->
 # Two subprocess runs on the same input must produce byte-identical output
 # files. Catches future hash-order regressions (Polars group_by, set() iter,
 # etc.) that pass in-process tests but break across separate worker processes.
+# The two runs also use DIFFERENT polars thread-pool sizes (1 vs 4): the output
+# must be invariant to the core count the workflow allocates via cpu(N), not just
+# to the process hash seed.
 @pytest.mark.parametrize(
     "rows, columns, plan",
     [
@@ -191,7 +208,73 @@ def test_outputs_byte_stable_across_subprocess_runs(
     a = _run_paths(tmp_path, "_a")
     b = _run_paths(tmp_path, "_b")
 
-    _run_cli_subprocess(input_tsv=in_tsv, plan_json=plan_json, **a)
-    _run_cli_subprocess(input_tsv=in_tsv, plan_json=plan_json, **b)
+    _run_cli_subprocess(input_tsv=in_tsv, plan_json=plan_json, polars_threads=1, **a)
+    _run_cli_subprocess(input_tsv=in_tsv, plan_json=plan_json, polars_threads=4, **b)
+
+    _assert_all_three_byte_identical(a, b)
+
+
+# Scale test: a few thousand peptides is enough for polars to actually engage its
+# thread pool. Tiny inputs (the case above) run effectively single-threaded
+# regardless of POLARS_MAX_THREADS, so they prove the contract but not that
+# threads were exercised. Running the SAME generated input at 1 vs 4 threads and
+# asserting byte-identical output proves the reshape / sort / write parallelism
+# is order-stable at scale. Peptide mode is chosen because its aa_fraction
+# long-format (now a polars unpivot) is the most thread-sensitive new path.
+@pytest.mark.slow
+def test_peptide_output_invariant_to_thread_count_at_scale(tmp_path: Path) -> None:
+    rng = random.Random(0)
+    aas = "ACDEFGHIKLMNPQRSTVWY"
+    rows = [
+        {"entity_key": f"p{i}", "sequence": "".join(rng.choice(aas) for _ in range(rng.randint(5, 30)))}
+        for i in range(3000)
+    ]
+    in_tsv = tmp_path / "input.tsv"
+    plan_json = tmp_path / "plan.json"
+    _write_tsv(in_tsv, rows, _PEPTIDE_COLUMNS)
+    plan_json.write_text(json.dumps(_PEPTIDE_PLAN))
+
+    a = _run_paths(tmp_path, "_t1")
+    b = _run_paths(tmp_path, "_t4")
+
+    _run_cli_subprocess(input_tsv=in_tsv, plan_json=plan_json, polars_threads=1, **a)
+    _run_cli_subprocess(input_tsv=in_tsv, plan_json=plan_json, polars_threads=4, **b)
+
+    _assert_all_three_byte_identical(a, b)
+
+
+# Scale test #2: the pI bisection runs row-parallel only at or above
+# vectorized._PARALLEL_MIN_ROWS (smaller inputs bisect serially), so the cases
+# above — under that threshold — never exercise it. This case crosses it and uses
+# antibody mode, which drives BOTH parallelized bisections: isoelectric_point
+# (full chains) and fv_isoelectric_point (Fv). Byte-identical output at 1 vs 4
+# threads proves the row-chunked bisection is independent of the worker count.
+# The row count is derived from the threshold so raising it can't silently drop
+# this coverage back to the serial path.
+@pytest.mark.slow
+def test_antibody_bisection_invariant_to_thread_count_at_scale(tmp_path: Path) -> None:
+    from vectorized import _PARALLEL_MIN_ROWS
+
+    rng = random.Random(0)
+    aas = "ACDEFGHIKLMNPQRSTVWY"
+    regions = ("FR1", "CDR1", "FR2", "CDR2", "FR3", "CDR3", "FR4")
+    rows: list[dict[str, str]] = []
+    for i in range(_PARALLEL_MIN_ROWS + 10_000):
+        row = {"entity_key": f"c{i}"}
+        for ch in ("A", "B"):
+            for r in regions:
+                row[f"{ch}_{r}"] = "".join(rng.choice(aas) for _ in range(rng.randint(5, 14)))
+        rows.append(row)
+
+    in_tsv = tmp_path / "input.tsv"
+    plan_json = tmp_path / "plan.json"
+    _write_tsv(in_tsv, rows, _ANTIBODY_COLUMNS)
+    plan_json.write_text(json.dumps(_ANTIBODY_PLAN))
+
+    a = _run_paths(tmp_path, "_ab1")
+    b = _run_paths(tmp_path, "_ab4")
+
+    _run_cli_subprocess(input_tsv=in_tsv, plan_json=plan_json, polars_threads=1, **a)
+    _run_cli_subprocess(input_tsv=in_tsv, plan_json=plan_json, polars_threads=4, **b)
 
     _assert_all_three_byte_identical(a, b)
diff --git a/workflow/src/main.tpl.tengo b/workflow/src/main.tpl.tengo
index 42ac142..2a5919f 100644
--- a/workflow/src/main.tpl.tengo
+++ b/workflow/src/main.tpl.tengo
@@ -17,6 +17,7 @@ pSpec := import("@platforma-sdk/workflow-tengo:pframes.spec")
 canonical := import("@platforma-sdk/workflow-tengo:canonical")
 maps := import("@platforma-sdk/workflow-tengo:maps")
 constants := import("@platforma-sdk/workflow-tengo:constants")
+feats := import("@platforma-sdk/workflow-tengo:feats")
 messages := import(":messages")
 columnSpecs := import(":columns")
 
@@ -383,13 +384,54 @@ wf.body(func(args) {
 	// stats.json (dataset-level scalars consumed by the info layer — e.g. R11c
 	// median CDR-H3 length per chain).
 	soft := assets.importSoftware("@platforma-open/milaboratories.sequence-properties.software:compute-properties")
-	// 12GiB (up from the 4GiB default): the vectorized step materializes full-N
-	// count matrices, so peak memory scales with clone count. cpu(1) is
-	// deliberate — the engine is single-threaded for deterministic output.
-	pyRun := exec.builder().
+	f := exec.formula
+	// Memory scales with the input instead of a flat allocation, as the max of two
+	// terms (each calibrated from measured peak RSS):
+	//   * row-scaled — lineCount("input.tsv") * per-row bytes. Covers the per-clone
+	//     structures (count matrix, output columns, aa_fraction). Measured peptide
+	//     ~3.0 KiB/row, antibody ~4.3 KiB/row; kib(5)/kib(8) carry the headroom.
+	//   * residue-scaled — size("input.tsv") * 64. Peak RSS from the cleaning
+	//     transients (the DIWV weight gather, residue-row ids, byte buffers) is
+	//     O(total residues), and input bytes ≈ total residues, so this term covers
+	//     long sequences that lineCount alone misses (measured ~40 B RSS per input
+	//     byte; 64x adds headroom). WITHOUT it, a low-row/long-sequence input (few
+	//     amplicon variants, long sequences) sizes to the 2 GiB floor and OOMs
+	//     where the old flat 12 GiB survived.
+	// max() lets each term dominate in its own regime (short-seq -> row term;
+	// long-seq -> residue term) without double-counting. Thread count barely moves
+	// peak RSS (+<0.1GiB at 8 threads), so no thread headroom is needed.
+	//
+	// Both modes parallelize on the compute engine (peptide ~1.7x, antibody ~1.5x
+	// on 4 cores: row-parallel pI bisection + vectorized CDR3-length stat), so CPU
+	// scales up to 4 with dataset size; small inputs get 1 core. main.py pins BLAS
+	// to one intra-op thread, so output is byte-identical regardless of core count.
+	// The memFormula fallback is the previous static 12GiB, for backends that
+	// cannot evaluate formulas (no getBlobSize).
+	memPerRow := f.kib(8)   // antibody / TCR — heavier per row (2 chains + ~30 cols)
+	if wholeSeqMode {
+		memPerRow = f.kib(5)   // peptide / amplicon
+	}
+	computeCpu := 4
+	execBuilder := exec.builder().
 		software(soft).
-		mem("12GiB").
-		cpu(1).
+		memFormula(f.clamp(f.max(f.mul(f.lineCount(), memPerRow), f.mul(f.size(), 64)), f.gib(2), f.gib(64)), { fallback: "12GiB" }).
+		cpu(computeCpu).
+		// Reserve ~1 core per 250k rows, capped at computeCpu; small inputs free
+		// cluster capacity.
+		cpuFormula(f.clamp(f.divCeil(f.lineCount(), 250000), 1, computeCpu))
+	// POLARS_MAX_THREADS sizes BOTH the polars pool and the numpy pI-bisection worker
+	// count (vectorized._n_workers reads it), so it must equal the cores the cpuFormula
+	// actually GRANTS — not the static cap. Otherwise a sub-cap input (e.g. 1 core
+	// granted) would still spawn computeCpu threads and oversubscribe its quota. On
+	// backends with command expressions, {system.cpu} resolves at run time to the
+	// granted core count (the backend substitutes it before the process starts, so
+	// main.py reads the final integer); older backends fall back to the static cap.
+	if feats.commandExpressions {
+		execBuilder = execBuilder.envExpr("POLARS_MAX_THREADS", "{system.cpu}")
+	} else {
+		execBuilder = execBuilder.env("POLARS_MAX_THREADS", string(computeCpu))
+	}
+	pyRun := execBuilder.
 		addFile("input.tsv", seqTable).
 		writeFile("plan.json", canonical.encode(plan)).
 		arg("--input").arg("input.tsv").