Add 6 MoE routing captures (DeepSeek-V4.1-Flash, GLM-5.3-Flash MTP5, DeepSeek-V4-Flash DSpark7, GLM-5.2 no-spec and MTP5 corpora, GLM-5.3 DFlash2 replicate); point 6 provenance files at trace/ specs

.gitattributes

@@ -62,3 +62,9 @@ glm52_nvfp4/vllm_mtp_k5/quadrant_c48/capture/20260923/routes.u16 filter=lfs diff
 glm53_flash_fp8/vllm/balanced_c32/capture/20260924/routes.u16 filter=lfs diff=lfs merge=lfs -text
 glm53_flash_fp8/vllm/diverse_100/capture/20260925/routes.u16 filter=lfs diff=lfs merge=lfs -text
 glm53_nvfp4/vllm_dflash2_k7/diverse_100/capture/20260922/routes.u16 filter=lfs diff=lfs merge=lfs -text
+deepseek_v41_flash/vllm/diverse_100/capture/20260924/routes.u16 filter=lfs diff=lfs merge=lfs -text
+deepseek_v4_flash/vllm_dspark_k7/diverse_100/capture/20260922/routes.u16 filter=lfs diff=lfs merge=lfs -text
+glm52_nvfp4/vllm/diverse_100/capture/20260922/routes.u16 filter=lfs diff=lfs merge=lfs -text
+glm52_nvfp4/vllm_mtp_k5/diverse_100/capture/20260922/routes.u16 filter=lfs diff=lfs merge=lfs -text
+glm53_flash_fp8/vllm_mtp_k5/diverse_100/capture/20260922/routes.u16 filter=lfs diff=lfs merge=lfs -text
+glm53_nvfp4/vllm_dflash2_k7/diverse_100/capture/20260920/routes.u16 filter=lfs diff=lfs merge=lfs -text

README.md

@@ -32,7 +32,7 @@ Licensed under Apache 2.0. The files hold request lengths, expert ids and counts
 <model>/<engine>[_<proposer>_k<k>]/<workload>/capture/<YYYYMMDD>/
     provenance.json         every input that produced the capture, and how each value was established
     trace.csv               the request trace the capture actually replayed
-    popularity.json         aggregate expert counts             (popularity captures)
+    popularity.json         aggregate expert counts             (popularity captures; beside some corpora)
     draft_popularity.json   the MTP draft layer's counts        (speculative popularity captures)
     manifest.json           corpus dimensions and checksum      (per-token captures)
     routes.u16              per-token routed experts            (per-token captures)
@@ -42,12 +42,16 @@ Licensed under Apache 2.0. The files hold request lengths, expert ids and counts
   Face id and revision are in `provenance.json`.
 - The second level is the engine (`vllm`, `sglang`). When the model serves with
   a speculative proposer, the proposer and its draft length k are appended, as in
-  `vllm_mtp_k5` or `vllm_dflash2_k7`.
+  `vllm_mtp_k5`, `vllm_dflash2_k7` or `vllm_dspark_k7`.
 - `<YYYYMMDD>` is the date the capture was taken. A second measurement of the
   same key is a **replicate**: it gets a new date directory next to the first and
   never overwrites it. Its `provenance.json` names the first capture in
   `replicate_of`.
 - Data files never change after upload. Only `provenance.json` may be revised.
+- Some per-token captures also carry the `popularity.json` (and
+  `draft_popularity.json`) of a popularity replay of the same model and trace.
+  Each file's `files.<name>.extra.same_replay_as_corpus` says whether it came
+  from the corpus replay itself or from a separate one in the same Slurm job.
 
 Nothing reads this directory scheme by name. Presets give each capture's full
 path, so the layout exists for people browsing the repo.
@@ -122,7 +126,11 @@ The file size is `num_tokens * num_layers * top_k * 2` bytes.
 The current corpora cover **accepted generated tokens only**. They have no
 prompt routes and no routes for rejected drafts. `provenance.json` lists the
 model layer index of each corpus layer (`files["routes.u16"].extra.hub_provenance.model_layer_indices`)
-and where each request's tokens start and end (`request_segments`).
+and where each request's tokens start and end (`request_segments`). Corpora
+copied from the old model repo keep these under `extra.hub_provenance`; corpora
+staged from their run directory keep the run's own provenance file under
+`extra.run_provenance`, and, when that file has no layer list, give it as
+`extra.model_layer_indices`.
 
 ### `provenance.json`
 
@@ -145,16 +153,22 @@ Unknown values are `null`; nothing is guessed.
 
 | Capture | Checkpoint | Engine | Proposer | Workload | Captured on | Files | Data |
 | --- | --- | --- | --- | --- | --- | --- | --- |
+| `deepseek_v41_flash/vllm/diverse_100/capture/20260924/` | `deepseek-ai/DeepSeek-V4.1-Flash` | vLLM | — | diverse_100 (100 req, enwik9) | B200 TP4 EP4 DP1 | manifest.json, routes.u16, popularity.json, trace.csv | 135,144 tokens x 40 layers x top-6 of 384; popularity v3 from the same replay, 9,049 records |
 | `deepseek_v4_flash/vllm/shape_grid_128/capture/20260822/` | `deepseek-ai/DeepSeek-V4-Flash-0731` | vLLM | — | shape_grid_128 (128 req, enwik8) | H200 TP1 EP4 DP4 | popularity.json, trace.csv | v2, 43 layers x 256 experts, 5,296 records |
+| `deepseek_v4_flash/vllm_dspark_k7/diverse_100/capture/20260922/` | `deepseek-ai/DeepSeek-V4-Flash-0731` | vLLM | DSpark k=7 (draft in the checkpoint, greedy draft sampling) | diverse_100 (100 req, enwik9) | B200 TP4 EP4 DP1 | manifest.json, routes.u16, trace.csv | 135,144 tokens x 43 layers x top-6 of 256 |
 | `glm52_fp8/vllm/ctx8k_out1k/capture/20260803/` | `zai-org/GLM-5.2-FP8` | vLLM | — | ctx8k_out1k (256 req, enwik8) | H200 TP1 EP8 DP8 | popularity.json, trace.csv | v1, 75 layers x 256 experts, 11,296 records |
 | `glm52_nvfp4/sglang/diverse_100/capture/20260829/` | `nvidia/GLM-5.2-NVFP4` | SGLang | — | diverse_100 (100 req, enwik9) | B200 TP4 EP1 DP1 | popularity.json, trace.csv | v3, 75 layers x 256 experts, 1 record (whole replay) |
 | `glm52_nvfp4/vllm/c32_long/capture/20260824/` | `nvidia/GLM-5.2-NVFP4` | vLLM | — | c32_long (64 req, enwik9) | B200 TP4 EP4 DP1 | popularity.json, trace.csv | v3, 75 layers x 256 experts, 532 records |
 | `glm52_nvfp4/vllm/diverse_100/capture/20260830/` | `nvidia/GLM-5.2-NVFP4` | vLLM | — | diverse_100 (100 req, enwik9) | B200 TP4 EP4 DP1 | popularity.json, trace.csv | v3, 75 layers x 256 experts, 13,577 records |
+| `glm52_nvfp4/vllm/diverse_100/capture/20260922/` | `nvidia/GLM-5.2-NVFP4` | vLLM | — | diverse_100 (100 req, enwik9) | B200 TP4 EP4 DP1 | manifest.json, routes.u16, trace.csv | 135,144 tokens x 75 layers x top-8 of 256; replicate of 20260830, on the v0.28 fork |
 | `glm52_nvfp4/vllm_mtp_k5/diverse_100/capture/20260830/` | `nvidia/GLM-5.2-NVFP4` | vLLM | MTP k=5 | diverse_100 (100 req, enwik9) | B200 TP4 EP4 DP1 | popularity.json, draft_popularity.json, trace.csv | v4 target (75 layers) + draft (1 layer), 7,973 records |
 | `glm52_nvfp4/vllm_mtp_k5/diverse_100/capture/20260902/` | `nvidia/GLM-5.2-NVFP4` | vLLM | MTP k=5 | diverse_100 (100 req, enwik9) | B200 TP8 EP8 DP1 | popularity.json, draft_popularity.json, trace.csv | v4 target + draft, 4,007 records; replicate of 20260830 |
+| `glm52_nvfp4/vllm_mtp_k5/diverse_100/capture/20260922/` | `nvidia/GLM-5.2-NVFP4` | vLLM | MTP k=5 | diverse_100 (100 req, enwik9) | B200 TP4 EP4 DP1 | manifest.json, routes.u16, popularity.json, draft_popularity.json, trace.csv | 135,144 tokens x 75 layers (no MTP layer) x top-8 of 256; popularity v4 target + draft from a separate replay, 6,780 records; replicate of 20260830, on the v0.28 fork |
 | `glm52_nvfp4/vllm_mtp_k5/quadrant_c48/capture/20260923/` | `nvidia/GLM-5.2-NVFP4` | vLLM | MTP k=5 | quadrant_c48 (192 req, enwik9) | B200 TP4 EP4 DP1 | manifest.json, routes.u16, trace.csv | 307,008 tokens x 76 layers (75 body + MTP) x top-8 of 256 |
 | `glm53_flash_fp8/vllm/balanced_c32/capture/20260924/` | `zai-org/GLM-5.3-Flash` | vLLM | — | balanced_c32 (256 req, enwik9) | B200 TP4 EP4 DP1 | manifest.json, routes.u16, trace.csv | 48,896 tokens x 42 layers x top-8 of 288 |
 | `glm53_flash_fp8/vllm/diverse_100/capture/20260925/` | `zai-org/GLM-5.3-Flash` | vLLM | — | diverse_100 (100 req, enwik9) | B200 TP4 EP4 DP1 | manifest.json, routes.u16, trace.csv | 135,144 tokens x 42 layers x top-8 of 288 |
+| `glm53_flash_fp8/vllm_mtp_k5/diverse_100/capture/20260922/` | `zai-org/GLM-5.3-Flash` | vLLM | MTP k=5 | diverse_100 (100 req, enwik9) | B200 TP4 EP4 DP1 | manifest.json, routes.u16, popularity.json, draft_popularity.json, trace.csv | 135,144 tokens x 42 layers (no MTP layer) x top-8 of 288; popularity v4 target + draft from a separate replay, 2,703 records |
+| `glm53_nvfp4/vllm_dflash2_k7/diverse_100/capture/20260920/` | `incoai/GLM-5.3-NVFP4` | vLLM | DFlash2 k=7 (`incoai/GLM-5.3-DFlash2`) | diverse_100 (100 req, enwik9) | B200 TP4 EP4 DP1 | manifest.json, routes.u16, trace.csv | 135,144 tokens x 75 layers x top-8 of 256; replicate of 20260922 |
 | `glm53_nvfp4/vllm_dflash2_k7/diverse_100/capture/20260922/` | `incoai/GLM-5.3-NVFP4` | vLLM | DFlash2 k=7 (`incoai/GLM-5.3-DFlash2`) | diverse_100 (100 req, enwik9) | B200 TP4 EP4 DP1 | manifest.json, routes.u16, trace.csv | 135,144 tokens x 75 layers x top-8 of 256 |
 | `qwen36_35b_a3b_fp8/vllm/ctx8k_out1k/capture/20260818/` | `Qwen/Qwen3.6-35B-A3B-FP8` | vLLM | — | ctx8k_out1k (256 req, enwik8) | H200 TP2 EP2 DP1 | popularity.json, trace.csv | v2, 40 layers x 256 experts, 4,170 records |
 | `qwen3_235b_thinking_fp8/vllm/ctx8k_out1k/capture/20260803/` | `Qwen/Qwen3-235B-A22B-Thinking-2507-FP8` | vLLM | — | ctx8k_out1k (256 req, enwik8) | H200 TP4 EP4 DP1 | popularity.json, trace.csv | v1, 94 layers x 128 experts, 4,172 records |
@@ -163,20 +177,26 @@ The workloads:
 
 - **diverse_100**: ServingStudioSim `trace/diverse_100.csv`. It has 100 requests
   with input 256–131,070 and output 1–8,192 tokens, both log-uniform, and
-  Poisson arrivals at a mean of 1 req/s. All four vLLM and SGLang popularity
-  captures replay it at its trace times with no client concurrency cap. The
-  DFlash2 corpus replays it at trace times with at most 64 requests in flight.
-- **c32_long**: 64 requests, eight of each pair in input {256, 1024, 2048, 4096} x
-  output {128, 256}. All arrive at t = 0 and replay saturated at concurrency 32.
-- **ctx8k_out1k**: 256 requests of 8,192 input and 1,024 output tokens, all at
-  t = 0, at concurrency 64.
-- **shape_grid_128**: four requests for each pair in input {128 … 16,384} (8
-  values) x output {32, 128, 512, 1024}. All arrive at t = 0 and replay at
-  concurrency 64.
-- **quadrant_c48**: case 07 of the GLM-5.2 spec5 alignment campaign, with 192
-  requests over eight IO shapes, saturated at concurrency 48.
-- **balanced_c32**: 256 requests, 32 of each pair in input {256, 1024, 2048,
-  4096} x output {128, 256}, saturated at concurrency 32.
+  Poisson arrivals at a mean of 1 req/s. The four 2026-08 vLLM and SGLang
+  popularity captures, and the GLM-5.3-Flash no-spec corpus, replay it at its
+  trace times with no client concurrency cap. The other corpora, and the
+  popularity files beside them, replay it at trace times with at most 64
+  requests in flight.
+- **c32_long**: ServingStudioSim `trace/c32_long.csv`. 64 requests, eight of
+  each pair in input {256, 1024, 2048, 4096} x output {128, 256}. All arrive
+  at t = 0 and replay saturated at concurrency 32.
+- **ctx8k_out1k**: ServingStudioSim `trace/ctx8k_out1k.csv`. 256 requests of
+  8,192 input and 1,024 output tokens, all at t = 0, at concurrency 64. The
+  Qwen3.6 capture's `trace.csv` has the same rows but writes `arrival_time` as
+  `0.000000`, so it is not a byte copy of the spec.
+- **shape_grid_128**: ServingStudioSim `trace/shape_grid_128.csv`. Four
+  requests for each pair in input {128 … 16,384} (8 values) x output {32, 128,
+  512, 1024}. All arrive at t = 0 and replay at concurrency 64.
+- **quadrant_c48**: no `trace/` spec. Case 07 of the GLM-5.2 spec5 alignment
+  campaign, with 192 requests over eight IO shapes, saturated at concurrency 48.
+- **balanced_c32**: ServingStudioSim `trace/balanced_c32.csv`. 256 requests, 32
+  of each pair in input {256, 1024, 2048, 4096} x output {128, 256}, saturated
+  at concurrency 32.
 
 The prompt source is part of the workload. The H200 captures drew their prompts
 from enwik8 and the B200 captures from enwik9. Each `provenance.json` records

deepseek_v41_flash/vllm/diverse_100/capture/20260924/manifest.json

@@ -0,0 +1,9 @@
+{
+  "schema_version": 1,
+  "data_file": "routes.u16",
+  "num_tokens": 135144,
+  "num_layers": 40,
+  "num_experts": 384,
+  "top_k": 6,
+  "checksum_fnv1a64": 6461126279644675736
+}

deepseek_v41_flash/vllm/diverse_100/capture/20260924/provenance.json

@@ -0,0 +1,772 @@
+{
+  "model": {
+    "checkpoint": "deepseek-ai/DeepSeek-V4.1-Flash",
+    "revision": "dba1be0a40aa45a94ad051997016db3960a90277",
+    "revision_inferred": false
+  },
+  "engine": {
+    "name": "vllm",
+    "version": "0.1.dev21920+g892da0822"
+  },
+  "proposer": null,
+  "workload": {
+    "name": "diverse_100",
+    "spec": "trace/diverse_100.csv",
+    "prompts": "enwik9",
+    "requests": 100,
+    "concurrency": 64,
+    "arrival": "trace-timed (load generator arrival_mode trace-timed), client max_concurrency 64"
+  },
+  "server": {
+    "gpu": "NVIDIA B200",
+    "tp": 4,
+    "ep": 4,
+    "dp": 1,
+    "other": {
+      "argv": [
+        "vllm.entrypoints.openai.api_server",
+        "--model",
+        "/raid/hf/hub/models--deepseek-ai--DeepSeek-V4.1-Flash/snapshots/dba1be0a40aa45a94ad051997016db3960a90277",
+        "--host",
+        "127.0.0.1",
+        "--port",
+        "21179",
+        "--tensor-parallel-size",
+        "4",
+        "--data-parallel-size",
+        "1",
+        "--max-num-batched-tokens",
+        "2048",
+        "--enable-chunked-prefill",
+        "--enable-prompt-tokens-details",
+        "--gpu-memory-utilization",
+        "0.9",
+        "--enable-server-load-tracking",
+        "--enable-logging-iteration-details",
+        "--served-model-name",
+        "dsv41-flash",
+        "--enable-expert-parallel",
+        "--trust-remote-code",
+        "--tokenizer-mode",
+        "deepseek_v41",
+        "--block-size",
+        "128",
+        "--max-model-len",
+        "131072",
+        "--max-num-seqs",
+        "64",
+        "--kv-cache-dtype",
+        "fp8",
+        "--seed",
+        "0",
+        "--generation-config",
+        "vllm",
+        "--engram-config",
+        "{\"cpu_offload\": true}",
+        "--enable-prefix-caching",
+        "--enable-return-routed-experts",
+        "--enable-eplb",
+        "--eplb-config",
+        "{\"log_balancedness\": true, \"rearrange\": false}"
+      ],
+      "fork_git": {
+        "path": "/raid/kanzhu/ServingStudio/wt-i-want-to-support-deepseek-v4-1-flash/alignment/profiler/vllm",
+        "head": "892da0822f7e866cec8e519727f014c45a5ad792",
+        "branch": "servingstudio-alignment-v41",
+        "status_short": ""
+      },
+      "cuda_visible_devices": "0,1,2,3",
+      "engine_build": {
+        "banner": "0.1.dev21920+g892da0822",
+        "fork_commit": "892da0822f7e866cec8e519727f014c45a5ad792",
+        "line": "vLLM fork branch servingstudio-alignment-v41 (local only)"
+      },
+      "max_num_batched_tokens": 2048,
+      "max_model_len": 131072,
+      "max_num_seqs": 64,
+      "kv_cache_dtype": "fp8",
+      "gpu_memory_utilization": 0.9,
+      "seed": 0,
+      "block_size": 128,
+      "tokenizer_mode": "deepseek_v41",
+      "engram_config": {
+        "cpu_offload": true
+      },
+      "eplb_config": {
+        "log_balancedness": true,
+        "rearrange": false
+      },
+      "routes_interface": "--enable-return-routed-experts (upstream AuxOutput path; model runner V2, prefix caching on)",
+      "load_generator": "frontend independent, backend openai, tokenizer = the served checkpoint, token_pool_limit 100000000"
+    }
+  },
+  "captured": {
+    "date": "2026-09-24",
+    "run": "cayenne:/raid/kanzhu/ServingStudio/wt-i-want-to-support-deepseek-v4-1-flash/logs/20260924_0_dsv41_flash_capture/profile_corpus",
+    "job": 1179
+  },
+  "files": {
+    "manifest.json": {
+      "sha256": "0d74c8ca84f35225a158a4d3938d128763e64fc7cb82916d27e3932b7424abc5",
+      "copied_from": [
+        "/raid/kanzhu/ServingStudio/wt-i-want-to-support-deepseek-v4-1-flash/logs/20260924_0_dsv41_flash_capture/profile_corpus/token_corpus/manifest.json"
+      ],
+      "kind": "token_corpus_manifest",
+      "schema_version": 1,
+      "scope": "accepted generated tokens; no prompt or rejected draft routes"
+    },
+    "routes.u16": {
+      "sha256": "2a166b82dfa5691b048f9e14a1dc5a0bc45683c998aa28badb05027dba96145f",
+      "copied_from": [
+        "/raid/kanzhu/ServingStudio/wt-i-want-to-support-deepseek-v4-1-flash/logs/20260924_0_dsv41_flash_capture/profile_corpus/token_corpus/routes.u16"
+      ],
+      "kind": "token_corpus_routes",
+      "schema_version": 1,
+      "scope": "accepted generated tokens; no prompt or rejected draft routes",
+      "extra": {
+        "run_provenance": {
+          "source": "/raid/kanzhu/ServingStudio/wt-i-want-to-support-deepseek-v4-1-flash/logs/20260924_0_dsv41_flash_capture/profile_corpus/routed_experts",
+          "encoding": "little-endian u16, C order [token, layer, top_k]",
+          "scope": "accepted generated tokens; no prompt or rejected draft routes",
+          "num_model_layers": 40,
+          "model_layer_indices": [
+            0,
+            1,
+            2,
+            3,
+            4,
+            5,
+            6,
+            7,
+            8,
+            9,
+            10,
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+            17,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            25,
+            26,
+            27,
+            28,
+            29,
+            30,
+            31,
+            32,
+            33,
+            34,
+            35,
+            36,
+            37,
+            38,
+            39
+          ],
+          "tokens_dropped_without_draft_routes": 0,
+          "request_segments": [
+            {
+              "request": "independent_0",
+              "start": 0,
+              "length": 14
+            },
+            {
+              "request": "independent_1",
+              "start": 14,
+              "length": 2614
+            },
+            {
+              "request": "independent_2",
+              "start": 2628,
+              "length": 2183
+            },
+            {
+              "request": "independent_3",
+              "start": 4811,
+              "length": 606
+            },
+            {
+              "request": "independent_4",
+              "start": 5417,
+              "length": 10
+            },
+            {
+              "request": "independent_5",
+              "start": 5427,
+              "length": 2
+            },
+            {
+              "request": "independent_6",
+              "start": 5429,
+              "length": 65
+            },
+            {
+              "request": "independent_7",
+              "start": 5494,
+              "length": 3310
+            },
+            {
+              "request": "independent_8",
+              "start": 8804,
+              "length": 2
+            },
+            {
+              "request": "independent_9",
+              "start": 8806,
+              "length": 7158
+            },
+            {
+              "request": "independent_10",
+              "start": 15964,
+              "length": 477
+            },
+            {
+              "request": "independent_11",
+              "start": 16441,
+              "length": 27
+            },
+            {
+              "request": "independent_12",
+              "start": 16468,
+              "length": 6
+            },
+            {
+              "request": "independent_13",
+              "start": 16474,
+              "length": 4354
+            },
+            {
+              "request": "independent_14",
+              "start": 20828,
+              "length": 1236
+            },
+            {
+              "request": "independent_15",
+              "start": 22064,
+              "length": 251
+            },
+            {
+              "request": "independent_16",
+              "start": 22315,
+              "length": 176
+            },
+            {
+              "request": "independent_17",
+              "start": 22491,
+              "length": 25
+            },
+            {
+              "request": "independent_18",
+              "start": 22516,
+              "length": 2
+            },
+            {
+              "request": "independent_19",
+              "start": 22518,
+              "length": 320
+            },
+            {
+              "request": "independent_20",
+              "start": 22838,
+              "length": 8
+            },
+            {
+              "request": "independent_21",
+              "start": 22846,
+              "length": 4500
+            },
+            {
+              "request": "independent_22",
+              "start": 27346,
+              "length": 2
+            },
+            {
+              "request": "independent_23",
+              "start": 27348,
+              "length": 4402
+            },
+            {
+              "request": "independent_24",
+              "start": 31750,
+              "length": 7533
+            },
+            {
+              "request": "independent_25",
+              "start": 39283,
+              "length": 4051
+            },
+            {
+              "request": "independent_26",
+              "start": 43334,
+              "length": 8
+            },
+            {
+              "request": "independent_27",
+              "start": 43342,
+              "length": 1541
+            },
+            {
+              "request": "independent_28",
+              "start": 44883,
+              "length": 162
+            },
+            {
+              "request": "independent_29",
+              "start": 45045,
+              "length": 8
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+        "run_provenance_sha256": "fb48b3a3cfdc1c49d2b79dbb291496581054aaeeaffaeb2533fd0df5e4e48ad1",
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+          "num_tokens": 135144,
+          "num_layers": 40,
+          "num_experts": 384,
+          "top_k": 6
+        }
+      }
+    },
+    "popularity.json": {
+      "sha256": "411a1355208adf5d6c165a0361fe2b02cf5086fe600892d688ed908cc6883096",
+      "copied_from": [
+        "/raid/kanzhu/ServingStudio/wt-i-want-to-support-deepseek-v4-1-flash/logs/20260924_0_dsv41_flash_capture/profile_corpus/expert_popularity.json"
+      ],
+      "kind": "expert_popularity",
+      "schema_version": 3,
+      "scope": "captured_eplb_steps_within_token_ceiling",
+      "extra": {
+        "same_replay_as_corpus": true,
+        "what": "aggregate EPLB expert-load side output of the same token_corpus pass (the server ran with --enable-eplb, rearrange false)",
+        "expert_record_count": 9049
+      }
+    },
+    "trace.csv": {
+      "sha256": "6db50ec83e10c92bdc885b0cfb8299823250c1e10520dae51217df695b801f87",
+      "copied_from": [
+        "cayenne:/raid/kanzhu/ServingStudio/wt-i-want-to-support-deepseek-v4-1-flash/logs/20260924_0_dsv41_flash_capture/trace_diverse_100.csv (drive_summary source_trace)",
+        "git:ServingStudioSim@8c5bfb0e (origin/main):trace/diverse_100.csv (byte-identical)"
+      ],
+      "kind": "trace",
+      "schema_version": null,
+      "scope": "independent-request CSV id,input_len,output_len,arrival_time (arrival_time in ms); the trace the capture's replay sent"
+    }
+  },
+  "replicate_of": null,
+  "missing": [
+    "prompt routes (not captured)",
+    "acceptance (no proposer)"
+  ],
+  "notes": [
+    "Checkpoint revision dba1be0a40aa45a94ad051997016db3960a90277 from the server --model snapshot path; the only snapshot in /raid/hf/hub. config.json text_config: 40 layers, 384 routed experts, top-6, all layers routed.",
+    "Engine version from the server log banner (09-24 18:03:24): 'version 0.1.dev21920+g892da0822'. The launch json records fork_git head 892da0822f7e866cec8e519727f014c45a5ad792 on branch servingstudio-alignment-v41, clean; the banner and the head agree.",
+    "Slurm job 1179 on cayenne (run_profile.sbatch profile_corpus) ran 2026-09-24T18:03:17-07:00 to 18:16:52 and exited 0: 'token_corpus: corpus_tokens=135144 expert_load_records=9049'. Earlier attempts 1173-1175 are in failed_attempts/ and are not used.",
+    "Replay check: all 100 rows of load_generator/replay.jsonl match trace/diverse_100.csv on id, input_len, output_len and arrival_time; 100/100 SUCCESS; 135,244/135,244 output tokens (summary.json).",
+    "Corpus: 135,144 accepted generated tokens x 40 layers (every model layer is routed; model layer indices 0-39) x top-6 of 384 experts; routes.u16 is 64,869,120 bytes = num_tokens x num_layers x top_k x 2.",
+    "Corpus checks run 2026-10-04: FNV-1a 64 equals the manifest checksum; size equals num_tokens x num_layers x top_k x 2; the 100 request_segments sum to num_tokens and each equals output_len - 1 of its trace row; tokens_dropped_without_draft_routes 0.",
+    "popularity.json is the aggregate side output of the same replay (schema 3, scope captured_eplb_steps_within_token_ceiling, 9,049 EPLB records, 40 layers x 384 experts). It counts every forwarded token including prompts; the corpus counts accepted generated tokens only. Earlier staged corpora (balanced_c32, GLM-5.3-Flash diverse_100) did not stage their side outputs; this one is staged at the parent's request.",
+    "Trace: the run's trace_diverse_100.csv is byte-identical to git trace/diverse_100.csv (sha256 6db50ec8...).",
+    "Referenced (unmerged) by branch i-want-to-support-deepseek-v4-1-flash: presets/predict_deepseek_v41_vllm.json and _serial.json set token_corpus_file to this run's logs/ path.",
+    "Prompt text enwik9: /raid/ssriram85/VibeSimWorkspace/main/logs/20260823_2_glm52_nvfp4_b200_ep4_c32_long_enwik9/corpus/enwik9, 1,000,000,000 bytes, md5 e206c3450ac99950df65bf70ef61a12d (matches the published value, per corpus/SOURCE.md and re-checked 2026-10-04), sha256 159b85351e5f76e60cbe32e04c677847a9ecba3adc79addab6f4c6c7aa3744bc."
+  ]
+}

deepseek_v41_flash/vllm/diverse_100/capture/20260924/routes.u16

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+oid sha256:2a166b82dfa5691b048f9e14a1dc5a0bc45683c998aa28badb05027dba96145f
+size 64869120

deepseek_v41_flash/vllm/diverse_100/capture/20260924/trace.csv

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deepseek_v4_flash/vllm/shape_grid_128/capture/20260822/provenance.json

@@ -11,7 +11,7 @@
   "proposer": null,
   "workload": {
     "name": "shape_grid_128",
-    "spec": null,
+    "spec": "trace/shape_grid_128.csv",
     "prompts": "enwik8",
     "requests": 128,
     "concurrency": 64,
@@ -127,7 +127,8 @@
       "sha256": "b5aa692ddb93e434d706c79495aac1d73eab2a663bc078dcc08297970826e253",
       "copied_from": [
         "coriander:/m-coriander/coriander/kanzhu/MLSim_workspace/wt-deepseek/logs/20260822_1_deepseek_v4_serial_vllm_alignment_c64_128/trace.csv (drive_summary source_trace)",
-        "/raid/kanzhu/ServingStudio/tmp/capture-sources/coriander/wt-deepseek/logs/20260822_1_deepseek_v4_serial_vllm_alignment_c64_128/trace.csv"
+        "/raid/kanzhu/ServingStudio/tmp/capture-sources/coriander/wt-deepseek/logs/20260822_1_deepseek_v4_serial_vllm_alignment_c64_128/trace.csv",
+        "git:ServingStudioSim@e8d9ecce (branch new-impl-public-interfaces; not yet on main):trace/shape_grid_128.csv (byte-identical)"
       ],
       "kind": "trace",
       "schema_version": null,
@@ -136,7 +137,6 @@
   },
   "replicate_of": null,
   "missing": [
-    "workload spec in git trace/ (candidate staged at tmp/servingstudio-workload-specs/shape_grid_128.csv)",
     "Slurm job (none recorded)"
   ],
   "notes": [
@@ -146,6 +146,7 @@
     "Three earlier attempts in the same run directory failed or were invalid (profile_expert_popularity_failed_gloo_profile_reservation_20260822T1743Z, _invalid_zero_eplb_20260822T1753Z, _failed_async_return_20260822T1802Z); the staged file is from profile_expert_popularity.",
     "profile_result.json reports expert_record_count 227728 from a raw_logical_routing_trace; the aggregate's aggregation.record_count is 5296 EPLB steps.",
     "Replay check: all 128 replay rows match trace.csv; 128/128 SUCCESS; 54,272/54,272 output tokens.",
-    "Prompt text enwik8: coriander:/m-coriander/coriander/kanzhu/MoESim/vllm_kernel_profile/multi_slo_launch/text/enwik8 (reached as ref/vllm_kernel_profile/multi_slo_launch/text/enwik8), 100,000,000 bytes, md5 a1fa5ffddb56f4953e226637dabbb36a, sha256 2b49720ec4d78c3c9fabaee6e4179a5e997302b3a70029f30f2d582218c024a8 (read 2026-10-04)."
+    "Prompt text enwik8: coriander:/m-coriander/coriander/kanzhu/MoESim/vllm_kernel_profile/multi_slo_launch/text/enwik8 (reached as ref/vllm_kernel_profile/multi_slo_launch/text/enwik8), 100,000,000 bytes, md5 a1fa5ffddb56f4953e226637dabbb36a, sha256 2b49720ec4d78c3c9fabaee6e4179a5e997302b3a70029f30f2d582218c024a8 (read 2026-10-04).",
+    "Revised 2026-10-04: workload.spec now names trace/shape_grid_128.csv (sha256 b5aa692ddb93e434d706c79495aac1d73eab2a663bc078dcc08297970826e253), which ServingStudioSim commit e8d9ecce added as a byte copy of this capture's trace.csv; the spec and trace.csv have the same sha256. Previously spec was null and missing listed 'workload spec in git trace/ (candidate staged at tmp/servingstudio-workload-specs/shape_grid_128.csv)'. No data file changed."
   ]
 }

deepseek_v4_flash/vllm_dspark_k7/diverse_100/capture/20260922/manifest.json

@@ -0,0 +1,9 @@
+{
+  "schema_version": 1,
+  "data_file": "routes.u16",
+  "num_tokens": 135144,
+  "num_layers": 43,
+  "num_experts": 256,
+  "top_k": 6,
+  "checksum_fnv1a64": 2989813006751772206
+}

deepseek_v4_flash/vllm_dspark_k7/diverse_100/capture/20260922/provenance.json

@@ -0,0 +1,720 @@
+{
+  "model": {
+    "checkpoint": "deepseek-ai/DeepSeek-V4-Flash-0731",
+    "revision": "7872f01b1d1fe23eabc4c98b48bffcef5a386062",
+    "revision_inferred": false
+  },
+  "engine": {
+    "name": "vllm",
+    "version": "0.28.1rc1.dev448+g69ddfc3db"
+  },
+  "proposer": {
+    "kind": "dspark",
+    "k": 7,
+    "checkpoint": "deepseek-ai/DeepSeek-V4-Flash-0731",
+    "revision": "7872f01b1d1fe23eabc4c98b48bffcef5a386062"
+  },
+  "workload": {
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+    "ep": 4,
+    "dp": 1,
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+        "--data-parallel-size",
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+        "--enable-chunked-prefill",
+        "--enable-prompt-tokens-details",
+        "--gpu-memory-utilization",
+        "0.9",
+        "--enable-server-load-tracking",
+        "--enable-logging-iteration-details",
+        "--served-model-name",
+        "dsv4-flash-dspark7",
+        "--enable-expert-parallel",
+        "--trust-remote-code",
+        "--tokenizer-mode",
+        "deepseek_v4",
+        "--block-size",
+        "256",
+        "--max-model-len",
+        "131072",
+        "--max-num-seqs",
+        "64",
+        "--kv-cache-dtype",
+        "fp8",
+        "--seed",
+        "0",
+        "--generation-config",
+        "vllm",
+        "--speculative-config",
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+        "--enable-return-routed-experts"
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+        "run_provenance_sha256": "aa82b886625fd1248a7d5163e92f2a343dc309df2799bbf2a1aa642cd4f6b9e9",
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+          2,
+          3,
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+          5,
+          6,
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+          "num_layers": 43,
+          "num_experts": 256,
+          "top_k": 6
+        }
+      }
+    },
+    "trace.csv": {
+      "sha256": "6db50ec83e10c92bdc885b0cfb8299823250c1e10520dae51217df695b801f87",
+      "copied_from": [
+        "cayenne:/raid/kanzhu/ServingStudio/wt-glm53-dflash2/trace/diverse_100.csv (now under /raid/kanzhu/ServingStudio/old-wt/) (capture_corpus.py --trace default, ROOT/trace/diverse_100.csv)",
+        "git:ServingStudioSim@8c5bfb0e (origin/main):trace/diverse_100.csv (byte-identical)"
+      ],
+      "kind": "trace",
+      "schema_version": null,
+      "scope": "independent-request CSV id,input_len,output_len,arrival_time (arrival_time in ms); the trace the capture's replay sent"
+    }
+  },
+  "replicate_of": null,
+  "missing": [
+    "prompt and rejected-draft routes (not captured)",
+    "draft routes (the DSpark draft layers are not in the corpus)",
+    "acceptance for the corpus replay (capture_corpus.py records none)",
+    "popularity: the companion popularity pass (dsv4flash/profile-popularity, job 826, 04:29-04:53) is unverified and was left out. The launcher logged '[invalid] alignment profile: no VibeSimAlignmentExpertLoad records found in server log', wrote no profile_result.json, and the draft expert load is empty; its expert_popularity.json (schema 4, 2,722 records) is still in the run directory."
+  ],
+  "notes": [
+    "Checkpoint revision 7872f01b1d1fe23eabc4c98b48bffcef5a386062 read from the server --model snapshot path in launch.json.",
+    "Proposer: vLLM --speculative-config {\"method\":\"dspark\",\"num_speculative_tokens\":7,\"draft_sample_method\":\"greedy\"} (the 0731 card's configuration). The draft weights ship inside the target checkpoint (mtp.0..2 with markov_head and confidence_head), so the proposer checkpoint and revision are the target's. Directory name vllm_dspark_k7 follows the existing <engine>_<method>_k<k> scheme with vLLM's method name.",
+    "Slurm job 832 on cayenne (run-dsv4flash-corpus.sbatch, corpus pass only) ran 2026-09-22T05:16:25-07:00 to 05:27:36 (server log 05:16:33-05:27:29). Its server argv is the launch archive of the popularity pass of job 826 with --enable-eplb and --eplb-config dropped and --enable-return-routed-experts added.",
+    "Same checkpoint as deepseek_v4_flash/vllm/shape_grid_128/capture/20260822/ (H200, no proposer, a different workload); this is the first speculative and the first B200 capture of the checkpoint.",
+    "Corpus: 135,144 accepted generated tokens x 43 layers (all 43 model layers are routed; model layer indices 0-42) x top-6 of 256 experts; routes.u16 is 69,734,304 bytes = num_tokens x num_layers x top_k x 2.",
+    "Checks run 2026-10-04: routes.u16 FNV-1a 64 equals manifest checksum_fnv1a64; size equals num_tokens x num_layers x top_k x 2; every id is below num_experts and no token repeats an expert within a layer; the 100 request_segments are contiguous and sum to num_tokens; routes.u16 equals the concatenation of the 100 per-request request_<id>.npz expert_ids in request order (byte for byte); all 100 request_<id>.json trace rows equal trace/diverse_100.csv (id, input_len, output_len, arrival_time); usage prompt_tokens and completion_tokens equal input_len and output_len for all 100; accepted_forwarded_tokens = output_len - 1 per request (the last generated token has no forward) and sums to num_tokens; capture_summary.json reports 100 requests.",
+    "capture_summary.json: 100 requests, 135,144 accepted forwarded tokens, replay 193.8 s.",
+    "Engine version from the server log banner: 'version 0.28.1rc1.dev448+g69ddfc3db'. launch.json records vllm_head 79838a5a18fde141b88a27d845dd0021b322b6b2 (the alignment fork, 'v0.28 base' in the hub README of the GLM-5.3 DFlash2 corpus); the banner's g69ddfc3db is the commit the editable install was built at, so the two disagree, as for glm53_nvfp4/vllm_dflash2_k7/diverse_100/capture/20260922/.",
+    "The run's own provenance.json (written by capture_corpus.py pack()) is kept verbatim under files[\"routes.u16\"].extra.run_provenance; it has no model layer indices, so extra.model_layer_indices is read from the per-request .npz files (all 100 agree).",
+    "Trace: old-wt/wt-glm53-dflash2/trace/diverse_100.csv is byte-identical to git trace/diverse_100.csv (sha256 6db50ec8...).",
+    "Prompts: capture_corpus.py cuts each prompt from the enwik9 token pool at offset ordinal*9973, tokenized linewise with the served checkpoint's tokenizer.json (the same scheme as req-frontend); each request_<id>.json records the prompt's sha256.",
+    "Prompt text enwik9: /raid/ssriram85/VibeSimWorkspace/main/logs/20260823_2_glm52_nvfp4_b200_ep4_c32_long_enwik9/corpus/enwik9, 1,000,000,000 bytes, md5 e206c3450ac99950df65bf70ef61a12d (matches the published value, per corpus/SOURCE.md and re-checked 2026-10-04), sha256 159b85351e5f76e60cbe32e04c677847a9ecba3adc79addab6f4c6c7aa3744bc."
+  ]
+}

deepseek_v4_flash/vllm_dspark_k7/diverse_100/capture/20260922/routes.u16

@@ -0,0 +1,3 @@
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+oid sha256:92d246974cff6f841ac8e4a142b4c081572d7a56f85a60bfb51cce2b1967a689
+size 69734304

deepseek_v4_flash/vllm_dspark_k7/diverse_100/capture/20260922/trace.csv

@@ -0,0 +1,101 @@
+id,input_len,output_len,arrival_time
+0,364,15,0.000000
+1,20232,2615,1263.253921
+2,7448,2184,1656.395770
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glm52_fp8/vllm/ctx8k_out1k/capture/20260803/provenance.json

@@ -11,7 +11,7 @@
   "proposer": null,
   "workload": {
     "name": "ctx8k_out1k",
-    "spec": null,
+    "spec": "trace/ctx8k_out1k.csv",
     "prompts": "enwik8",
     "requests": 256,
     "concurrency": 64,
@@ -110,7 +110,8 @@
       "sha256": "2f6e1c0594b9d994577d815879e82ee590d4a059b89239bd39752affa41dfb25",
       "copied_from": [
         "coriander:/m-coriander/coriander/kanzhu/MLSim_workspace/main/logs/20260802_5_glm52_fp8_ctx8k_c64/trace.csv (drive_summary source_trace)",
-        "/raid/kanzhu/ServingStudio/tmp/capture-sources/coriander/main/logs/20260802_5_glm52_fp8_ctx8k_c64/trace.csv"
+        "/raid/kanzhu/ServingStudio/tmp/capture-sources/coriander/main/logs/20260802_5_glm52_fp8_ctx8k_c64/trace.csv",
+        "git:ServingStudioSim@e8d9ecce (branch new-impl-public-interfaces; not yet on main):trace/ctx8k_out1k.csv (byte-identical)"
       ],
       "kind": "trace",
       "schema_version": null,
@@ -120,7 +121,6 @@
   "replicate_of": null,
   "missing": [
     "checkpoint revision (inferred, see notes)",
-    "workload spec in git trace/ (candidate staged at tmp/servingstudio-workload-specs/ctx8k_out1k.csv)",
     "aggregation scope (schema 1 has no aggregation block)",
     "Slurm job (none recorded)"
   ],
@@ -130,6 +130,7 @@
     "Replay check: all 256 replay rows match trace.csv; 256/256 SUCCESS; 262,144/262,144 output tokens.",
     "The popularity file is schema 1: record_count 11296 EPLB records, no aggregation or EP fields.",
     "The same trace file (20260802_5_glm52_fp8_ctx8k_c64/trace.csv) also drove qwen3_235b_thinking_fp8/vllm/ctx8k_out1k/capture/20260803/.",
-    "Prompt text enwik8: coriander:/m-coriander/coriander/kanzhu/MoESim/vllm_kernel_profile/multi_slo_launch/text/enwik8 (reached as ref/vllm_kernel_profile/multi_slo_launch/text/enwik8), 100,000,000 bytes, md5 a1fa5ffddb56f4953e226637dabbb36a, sha256 2b49720ec4d78c3c9fabaee6e4179a5e997302b3a70029f30f2d582218c024a8 (read 2026-10-04)."
+    "Prompt text enwik8: coriander:/m-coriander/coriander/kanzhu/MoESim/vllm_kernel_profile/multi_slo_launch/text/enwik8 (reached as ref/vllm_kernel_profile/multi_slo_launch/text/enwik8), 100,000,000 bytes, md5 a1fa5ffddb56f4953e226637dabbb36a, sha256 2b49720ec4d78c3c9fabaee6e4179a5e997302b3a70029f30f2d582218c024a8 (read 2026-10-04).",
+    "Revised 2026-10-04: workload.spec now names trace/ctx8k_out1k.csv (sha256 2f6e1c0594b9d994577d815879e82ee590d4a059b89239bd39752affa41dfb25), which ServingStudioSim commit e8d9ecce added as a byte copy of this capture's trace.csv; the spec and trace.csv have the same sha256. Previously spec was null and missing listed 'workload spec in git trace/ (candidate staged at tmp/servingstudio-workload-specs/ctx8k_out1k.csv)'. No data file changed."
   ]
 }

glm52_nvfp4/vllm/c32_long/capture/20260824/provenance.json

@@ -11,7 +11,7 @@
   "proposer": null,
   "workload": {
     "name": "c32_long",
-    "spec": null,
+    "spec": "trace/c32_long.csv",
     "prompts": "enwik9",
     "requests": 64,
     "concurrency": 32,
@@ -113,7 +113,8 @@
       "sha256": "95df8a3eeb4f0993d64c210df531381385d091eabf9d6948adb6feada04ff7de",
       "copied_from": [
         "cayenne:/raid/ssriram85/VibeSimWorkspace/main/logs/20260823_2_glm52_nvfp4_b200_ep4_c32_long_enwik9/trace.csv",
-        "/raid/kanzhu/ServingStudio/tmp/capture-sources/b200/20260823_2_glm52_nvfp4_b200_ep4_c32_long_enwik9/trace.csv"
+        "/raid/kanzhu/ServingStudio/tmp/capture-sources/b200/20260823_2_glm52_nvfp4_b200_ep4_c32_long_enwik9/trace.csv",
+        "git:ServingStudioSim@e8d9ecce (branch new-impl-public-interfaces; not yet on main):trace/c32_long.csv (byte-identical)"
       ],
       "kind": "trace",
       "schema_version": null,
@@ -122,7 +123,6 @@
   },
   "replicate_of": null,
   "missing": [
-    "workload spec in git trace/ (candidate staged at tmp/servingstudio-workload-specs/c32_long.csv)",
     "Slurm job (none recorded)"
   ],
   "notes": [
@@ -132,6 +132,7 @@
     "Replay check: all 64 rows of load_generator/replay.jsonl match trace.csv on id, input_len, output_len and arrival_time; 64/64 SUCCESS, 12,288/12,288 output tokens, zero cached prompt tokens (STATUS.md).",
     "Workload: 64 requests, eight of each pair in {256, 1024, 2048, 4096} input x {128, 256} output, interleaved round-robin, all at t=0, max_concurrency 32, max_model_len 8192; prompts start at independent offsets 9,973 tokens apart in a 1,000,000-token pool (STATUS.md).",
     "Prompt text enwik9: /raid/ssriram85/VibeSimWorkspace/main/logs/20260823_2_glm52_nvfp4_b200_ep4_c32_long_enwik9/corpus/enwik9, 1,000,000,000 bytes, md5 e206c3450ac99950df65bf70ef61a12d (matches the published value, per corpus/SOURCE.md and re-checked 2026-10-04), sha256 159b85351e5f76e60cbe32e04c677847a9ecba3adc79addab6f4c6c7aa3744bc.",
-    "glm52_nvfp4_b200_tp8/expert_popularity.json was not staged: same counts_by_layer, counts_all_layers, probabilities and aggregation as this file; only expert_parallel_size (4 vs 8) and experts_per_rank (64 vs 32) differ (checked key by key 2026-10-04)."
+    "glm52_nvfp4_b200_tp8/expert_popularity.json was not staged: same counts_by_layer, counts_all_layers, probabilities and aggregation as this file; only expert_parallel_size (4 vs 8) and experts_per_rank (64 vs 32) differ (checked key by key 2026-10-04).",
+    "Revised 2026-10-04: workload.spec now names trace/c32_long.csv (sha256 95df8a3eeb4f0993d64c210df531381385d091eabf9d6948adb6feada04ff7de), which ServingStudioSim commit e8d9ecce added as a byte copy of this capture's trace.csv; the spec and trace.csv have the same sha256. Previously spec was null and missing listed 'workload spec in git trace/ (candidate staged at tmp/servingstudio-workload-specs/c32_long.csv)'. No data file changed."
   ]
 }

glm52_nvfp4/vllm/diverse_100/capture/20260922/manifest.json

@@ -0,0 +1,9 @@
+{
+  "schema_version": 1,
+  "data_file": "routes.u16",
+  "num_tokens": 135144,
+  "num_layers": 75,
+  "num_experts": 256,
+  "top_k": 8,
+  "checksum_fnv1a64": 2208848933805976195
+}

glm52_nvfp4/vllm/diverse_100/capture/20260922/provenance.json

@@ -0,0 +1,735 @@
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+    "revision": "aec724e8c7b8ee9db3b48c01c320f63f9cdaf8aa",
+    "revision_inferred": false
+  },
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+    "name": "vllm",
+    "version": "0.28.1rc1.dev448+g69ddfc3db"
+  },
+  "proposer": null,
+  "workload": {
+    "name": "diverse_100",
+    "spec": "trace/diverse_100.csv",
+    "prompts": "enwik9",
+    "requests": 100,
+    "concurrency": 64,
+    "arrival": "trace-timed (each request sleeps until its arrival_time), at most 64 in flight (client semaphore)"
+  },
+  "server": {
+    "gpu": "NVIDIA B200",
+    "tp": 4,
+    "ep": 4,
+    "dp": 1,
+    "other": {
+      "argv": [
+        "vllm.entrypoints.openai.api_server",
+        "--model",
+        "/raid/hf/hub/models--nvidia--GLM-5.2-NVFP4/snapshots/aec724e8c7b8ee9db3b48c01c320f63f9cdaf8aa",
+        "--host",
+        "127.0.0.1",
+        "--port",
+        "8034",
+        "--tensor-parallel-size",
+        "4",
+        "--data-parallel-size",
+        "1",
+        "--max-num-batched-tokens",
+        "2048",
+        "--enable-chunked-prefill",
+        "--enable-prompt-tokens-details",
+        "--gpu-memory-utilization",
+        "0.85",
+        "--enable-server-load-tracking",
+        "--enable-logging-iteration-details",
+        "--served-model-name",
+        "glm52-nvfp4-nospec",
+        "--enable-expert-parallel",
+        "--max-model-len",
+        "131072",
+        "--max-num-seqs",
+        "64",
+        "--kv-cache-dtype",
+        "fp8_e4m3",
+        "--seed",
+        "0",
+        "--generation-config",
+        "vllm",
+        "--enable-return-routed-experts"
+      ],
+      "environment": {
+        "CUDA_VISIBLE_DEVICES": "0,1,2,3",
+        "VLLM_USE_V2_MODEL_RUNNER": "1",
+        "HF_HOME": "/raid/hf",
+        "HF_HUB_OFFLINE": "1",
+        "OMP_NUM_THREADS": "8"
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+      "sim_head": "9e2c55a2429ee878423080e2eea3f3d50d7bf01d",
+      "interface": "non-streaming /v1/completions routed_experts; no serving-source patch",
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+      "sampling": "temperature 0, ignore_eos, max_tokens = output_len, non-streaming /v1/completions"
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+    "run": "cayenne:/raid/kanzhu/ServingStudio/wt-glm53-dflash2/logs/20260922_3_glm52_corpus/nospec_corpus (now under /raid/kanzhu/ServingStudio/old-wt/)",
+    "job": 837
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+      "copied_from": [
+        "cayenne:/raid/kanzhu/ServingStudio/wt-glm53-dflash2/trace/diverse_100.csv (now under /raid/kanzhu/ServingStudio/old-wt/) (capture_corpus.py --trace default, ROOT/trace/diverse_100.csv)",
+        "git:ServingStudioSim@8c5bfb0e (origin/main):trace/diverse_100.csv (byte-identical)"
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+      "kind": "trace",
+      "schema_version": null,
+      "scope": "independent-request CSV id,input_len,output_len,arrival_time (arrival_time in ms); the trace the capture's replay sent"
+    }
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+  "replicate_of": "glm52_nvfp4/vllm/diverse_100/capture/20260830/",
+  "missing": [
+    "prompt routes (not captured)",
+    "acceptance (no proposer)",
+    "popularity (the companion popularity pass of the same job, nospec_cap/profile-popularity, lost request 79: 'connection closed before message completed', 99/100 SUCCESS; it was left out. Its 9,584-record schema-3 file is still in the run directory.)"
+  ],
+  "notes": [
+    "Checkpoint revision aec724e8c7b8ee9db3b48c01c320f63f9cdaf8aa read from the server --model snapshot path in launch.json.",
+    "Slurm job 837 on cayenne (run-recap.sbatch, run_model nospec) ran 2026-09-22T06:41:26-07:00 to 07:31:41, status=0. The nospec popularity pass ran 06:41-06:52, the nospec corpus 06:53:23-07:02 (server log 06:53:56-07:01:45). Jobs 835 and 836 failed before replaying (missing interpreter path; server exit) and wrote nothing used here.",
+    "The corpus server argv is the recap popularity pass's launch archive (nospec_cap/profile-popularity/vllm/glm52_nvfp4_nospec_tp4_ep4_recap_expert_popularity_launch.json) with --enable-eplb and --eplb-config dropped and --enable-return-routed-experts added.",
+    "Engine differs from the earlier GLM-5.2 vLLM captures of this key: those ran the 0b8edfb5 build (banner 0.1.dev17373+g0b8edfb56); this one ran the v0.28 alignment fork (banner 0.28.1rc1.dev448+g69ddfc3db, vllm_head 79838a5a). run-recap.sbatch explains why: the 08-30 fork rejects --enable-return-routed-experts under the V2 model runner, so routes could not be recorded on it.",
+    "A replicate by key of glm52_nvfp4/vllm/diverse_100/capture/20260830/, which is a popularity capture (no per-token routes) on a different engine build with no client concurrency cap. This is the first per-token corpus for the key.",
+    "Corpus: 135,144 accepted generated tokens x 75 layers (the routed MoE layers; the first 3 layers are dense; model layer indices 3-77) x top-8 of 256 experts; routes.u16 is 162,172,800 bytes = num_tokens x num_layers x top_k x 2.",
+    "Checks run 2026-10-04: routes.u16 FNV-1a 64 equals manifest checksum_fnv1a64; size equals num_tokens x num_layers x top_k x 2; every id is below num_experts and no token repeats an expert within a layer; the 100 request_segments are contiguous and sum to num_tokens; routes.u16 equals the concatenation of the 100 per-request request_<id>.npz expert_ids in request order (byte for byte); all 100 request_<id>.json trace rows equal trace/diverse_100.csv (id, input_len, output_len, arrival_time); usage prompt_tokens and completion_tokens equal input_len and output_len for all 100; accepted_forwarded_tokens = output_len - 1 per request (the last generated token has no forward) and sums to num_tokens; capture_summary.json reports 100 requests.",
+    "capture_summary.json: 100 requests, 135,144 accepted forwarded tokens, replay 249.8 s.",
+    "Engine version from the server log banner: 'version 0.28.1rc1.dev448+g69ddfc3db'. launch.json records vllm_head 79838a5a18fde141b88a27d845dd0021b322b6b2 (the alignment fork, 'v0.28 base' in the hub README of the GLM-5.3 DFlash2 corpus); the banner's g69ddfc3db is the commit the editable install was built at, so the two disagree, as for glm53_nvfp4/vllm_dflash2_k7/diverse_100/capture/20260922/.",
+    "The run's own provenance.json (written by capture_corpus.py pack()) is kept verbatim under files[\"routes.u16\"].extra.run_provenance; it has no model layer indices, so extra.model_layer_indices is read from the per-request .npz files (all 100 agree).",
+    "Trace: old-wt/wt-glm53-dflash2/trace/diverse_100.csv is byte-identical to git trace/diverse_100.csv (sha256 6db50ec8...).",
+    "Prompts: capture_corpus.py cuts each prompt from the enwik9 token pool at offset ordinal*9973, tokenized linewise with the served checkpoint's tokenizer.json (the same scheme as req-frontend); each request_<id>.json records the prompt's sha256.",
+    "Prompt text enwik9: /raid/ssriram85/VibeSimWorkspace/main/logs/20260823_2_glm52_nvfp4_b200_ep4_c32_long_enwik9/corpus/enwik9, 1,000,000,000 bytes, md5 e206c3450ac99950df65bf70ef61a12d (matches the published value, per corpus/SOURCE.md and re-checked 2026-10-04), sha256 159b85351e5f76e60cbe32e04c677847a9ecba3adc79addab6f4c6c7aa3744bc."
+  ]
+}

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+              "start": 124797,
+              "length": 3937
+            },
+            {
+              "request_id": "request_97",
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+              "length": 19
+            },
+            {
+              "request_id": "request_98",
+              "start": 128753,
+              "length": 6273
+            },
+            {
+              "request_id": "request_99",
+              "start": 135026,
+              "length": 118
+            }
+          ]
+        },
+        "run_provenance_path": "/raid/kanzhu/ServingStudio/old-wt/wt-glm53-dflash2/logs/20260922_3_glm52_corpus/spec5_corpus/provenance.json",
+        "run_provenance_sha256": "6cae5c3ecced897572cf40c511a7180df8a807c5ce13a215d2c103694c067b8d",
+        "model_layer_indices": [
+          3,
+          4,
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+          7,
+          8,
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+        ],
+        "dimensions": {
+          "num_tokens": 135144,
+          "num_layers": 75,
+          "num_experts": 256,
+          "top_k": 8
+        }
+      }
+    },
+    "popularity.json": {
+      "sha256": "5fa1341565c9499fed9ed4d87fcbadd3208938f4b18022a062fafb66435796fe",
+      "copied_from": [
+        "/raid/kanzhu/ServingStudio/old-wt/wt-glm53-dflash2/logs/20260922_3_glm52_corpus/spec5_cap/profile-popularity/expert_popularity.json"
+      ],
+      "kind": "expert_popularity",
+      "schema_version": 4,
+      "scope": "replay_window_within_role_specific_token_ceiling",
+      "extra": {
+        "same_replay_as_corpus": false,
+        "run": "cayenne:/raid/kanzhu/ServingStudio/wt-glm53-dflash2/logs/20260922_3_glm52_corpus/spec5_cap/profile-popularity (now under /raid/kanzhu/ServingStudio/old-wt/)",
+        "replay": "a separate replay of the same trace in the same Slurm job, just before the corpus pass: launcher alignment profile (profile_kind expert_popularity), trace-timed, client max_concurrency 64",
+        "server_argv_difference": "the popularity server adds --enable-eplb --eplb-config (log_balancedness, step_interval 1e9 so EPLB never rearranges); the corpus server drops both and adds --enable-return-routed-experts",
+        "fork_git": {
+          "path": "/raid/kanzhu/ServingStudio/wt-glm53-dflash2/alignment/profiler/vllm",
+          "head": "79838a5a18fde141b88a27d845dd0021b322b6b2",
+          "branch": "glm53-dflash2-alignment",
+          "status_short": ""
+        },
+        "spec_decode_metrics": {
+          "num_drafts": 33827,
+          "draft_tokens": 169134,
+          "accepted_tokens": 101479,
+          "accepted_tokens_per_position": {
+            "0": 29360,
+            "1": 23333,
+            "2": 18813,
+            "3": 15897,
+            "4": 14076
+          },
+          "mean_acceptance_length": 3.9999408756318915
+        },
+        "model_role": "target",
+        "expert_record_count": 6780
+      }
+    },
+    "draft_popularity.json": {
+      "sha256": "9a7ecf2fa5e68ca13b46d3dbbb75957b72f41c1fcece70ed6f2535688bae0552",
+      "copied_from": [
+        "/raid/kanzhu/ServingStudio/old-wt/wt-glm53-dflash2/logs/20260922_3_glm52_corpus/spec5_cap/profile-popularity/draft_expert_popularity.json"
+      ],
+      "kind": "expert_popularity",
+      "schema_version": 4,
+      "scope": "replay_window_within_role_specific_token_ceiling",
+      "extra": {
+        "same_replay_as_corpus": false,
+        "run": "cayenne:/raid/kanzhu/ServingStudio/wt-glm53-dflash2/logs/20260922_3_glm52_corpus/spec5_cap/profile-popularity (now under /raid/kanzhu/ServingStudio/old-wt/)",
+        "replay": "a separate replay of the same trace in the same Slurm job, just before the corpus pass: launcher alignment profile (profile_kind expert_popularity), trace-timed, client max_concurrency 64",
+        "server_argv_difference": "the popularity server adds --enable-eplb --eplb-config (log_balancedness, step_interval 1e9 so EPLB never rearranges); the corpus server drops both and adds --enable-return-routed-experts",
+        "fork_git": {
+          "path": "/raid/kanzhu/ServingStudio/wt-glm53-dflash2/alignment/profiler/vllm",
+          "head": "79838a5a18fde141b88a27d845dd0021b322b6b2",
+          "branch": "glm53-dflash2-alignment",
+          "status_short": ""
+        },
+        "spec_decode_metrics": {
+          "num_drafts": 33827,
+          "draft_tokens": 169134,
+          "accepted_tokens": 101479,
+          "accepted_tokens_per_position": {
+            "0": 29360,
+            "1": 23333,
+            "2": 18813,
+            "3": 15897,
+            "4": 14076
+          },
+          "mean_acceptance_length": 3.9999408756318915
+        },
+        "model_role": "draft",
+        "what": "the MTP layer's routed experts (num_moe_layers 1), the draft half of the popularity replay",
+        "draft_expert_record_count": 6780
+      }
+    },
+    "trace.csv": {
+      "sha256": "6db50ec83e10c92bdc885b0cfb8299823250c1e10520dae51217df695b801f87",
+      "copied_from": [
+        "cayenne:/raid/kanzhu/ServingStudio/wt-glm53-dflash2/trace/diverse_100.csv (now under /raid/kanzhu/ServingStudio/old-wt/) (capture_corpus.py --trace default, ROOT/trace/diverse_100.csv)",
+        "git:ServingStudioSim@8c5bfb0e (origin/main):trace/diverse_100.csv (byte-identical)"
+      ],
+      "kind": "trace",
+      "schema_version": null,
+      "scope": "independent-request CSV id,input_len,output_len,arrival_time (arrival_time in ms); the trace the capture's replay sent"
+    }
+  },
+  "replicate_of": "glm52_nvfp4/vllm_mtp_k5/diverse_100/capture/20260830/",
+  "missing": [
+    "prompt and rejected-draft routes (not captured)",
+    "MTP layer routes in the corpus (capture_corpus.py keeps model layers 3-77 only)",
+    "acceptance for the corpus replay (capture_corpus.py records none; the popularity replay's counters are in files[\"popularity.json\"].extra.spec_decode_metrics)"
+  ],
+  "notes": [
+    "Checkpoint revision aec724e8c7b8ee9db3b48c01c320f63f9cdaf8aa read from the server --model snapshot path in launch.json.",
+    "Proposer: vLLM --speculative-config {\"method\":\"mtp\",\"num_speculative_tokens\":5}; the MTP head is part of the target checkpoint, so the proposer checkpoint and revision are the target's.",
+    "Slurm job 837 on cayenne (run-recap.sbatch, run_model spec5) ran the spec5 popularity pass 07:02-07:23 and the spec5 corpus 07:23:27-07:31 on 2026-09-22 (server log 07:24:05-07:31:27); the job ended status=0 at 07:31:41.",
+    "popularity.json and draft_popularity.json come from the separate popularity replay in the same job (spec5_cap/profile-popularity; schema 4, model_role target 75 layers and draft 1 layer, 6,780 records each, profile_result.json present). Its replay: all 100 replay.jsonl rows match trace/diverse_100.csv, 100/100 SUCCESS, every output length exact. Spec counters over that replay: 33,827 drafts, 169,134 draft tokens, 101,479 accepted, mean acceptance length 4.00.",
+    "Engine differs from the earlier GLM-5.2 vLLM captures of this key: those ran the 0b8edfb5 build (banner 0.1.dev17373+g0b8edfb56); this one ran the v0.28 alignment fork (banner 0.28.1rc1.dev448+g69ddfc3db, vllm_head 79838a5a). run-recap.sbatch explains why: the 08-30 fork rejects --enable-return-routed-experts under the V2 model runner, so routes could not be recorded on it.",
+    "A replicate by key of glm52_nvfp4/vllm_mtp_k5/diverse_100/capture/20260830/ (popularity only, 0b8edfb5 build, no client concurrency cap). This is the first per-token diverse_100 corpus for the key; the staged quadrant_c48 corpus is a different workload and includes the MTP layer (76 layers), this one does not (75).",
+    "Corpus: 135,144 accepted generated tokens x 75 layers (the 75 target MoE layers; the MTP layer is not included; model layer indices 3-77) x top-8 of 256 experts; routes.u16 is 162,172,800 bytes = num_tokens x num_layers x top_k x 2.",
+    "Checks run 2026-10-04: routes.u16 FNV-1a 64 equals manifest checksum_fnv1a64; size equals num_tokens x num_layers x top_k x 2; every id is below num_experts and no token repeats an expert within a layer; the 100 request_segments are contiguous and sum to num_tokens; routes.u16 equals the concatenation of the 100 per-request request_<id>.npz expert_ids in request order (byte for byte); all 100 request_<id>.json trace rows equal trace/diverse_100.csv (id, input_len, output_len, arrival_time); usage prompt_tokens and completion_tokens equal input_len and output_len for all 100; accepted_forwarded_tokens = output_len - 1 per request (the last generated token has no forward) and sums to num_tokens; capture_summary.json reports 100 requests.",
+    "capture_summary.json: 100 requests, 135,144 accepted forwarded tokens, replay 181.4 s.",
+    "Engine version from the server log banner: 'version 0.28.1rc1.dev448+g69ddfc3db'. launch.json records vllm_head 79838a5a18fde141b88a27d845dd0021b322b6b2 (the alignment fork, 'v0.28 base' in the hub README of the GLM-5.3 DFlash2 corpus); the banner's g69ddfc3db is the commit the editable install was built at, so the two disagree, as for glm53_nvfp4/vllm_dflash2_k7/diverse_100/capture/20260922/.",
+    "The run's own provenance.json (written by capture_corpus.py pack()) is kept verbatim under files[\"routes.u16\"].extra.run_provenance; it has no model layer indices, so extra.model_layer_indices is read from the per-request .npz files (all 100 agree).",
+    "Trace: old-wt/wt-glm53-dflash2/trace/diverse_100.csv is byte-identical to git trace/diverse_100.csv (sha256 6db50ec8...).",
+    "Prompts: capture_corpus.py cuts each prompt from the enwik9 token pool at offset ordinal*9973, tokenized linewise with the served checkpoint's tokenizer.json (the same scheme as req-frontend); each request_<id>.json records the prompt's sha256.",
+    "Prompt text enwik9: /raid/ssriram85/VibeSimWorkspace/main/logs/20260823_2_glm52_nvfp4_b200_ep4_c32_long_enwik9/corpus/enwik9, 1,000,000,000 bytes, md5 e206c3450ac99950df65bf70ef61a12d (matches the published value, per corpus/SOURCE.md and re-checked 2026-10-04), sha256 159b85351e5f76e60cbe32e04c677847a9ecba3adc79addab6f4c6c7aa3744bc."
+  ]
+}

glm52_nvfp4/vllm_mtp_k5/diverse_100/capture/20260922/routes.u16

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ff8eea1e70344cf43683a88e62a0040b517f171f678671b6e7dc41d7229d4dfc
+size 162172800

glm52_nvfp4/vllm_mtp_k5/diverse_100/capture/20260922/trace.csv

@@ -0,0 +1,101 @@
+id,input_len,output_len,arrival_time
+0,364,15,0.000000
+1,20232,2615,1263.253921
+2,7448,2184,1656.395770
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+99,2103,119,114912.471160

glm53_flash_fp8/vllm/balanced_c32/capture/20260924/provenance.json

@@ -11,7 +11,7 @@
   "proposer": null,
   "workload": {
     "name": "balanced_c32",
-    "spec": null,
+    "spec": "trace/balanced_c32.csv",
     "prompts": "enwik9",
     "requests": 256,
     "concurrency": 32,
@@ -1452,7 +1452,8 @@
     "trace.csv": {
       "sha256": "3965d955d19e6839240de814ae4a17c5c9c8fa185b1093c287f832a6336dc252",
       "copied_from": [
-        "/raid/kanzhu/ServingStudio/wt-glm5-3-flash-support/logs/20260924_1_glm53_flash_b200_tp4_ep4_corpus/requests.csv (drive_summary source_trace)"
+        "/raid/kanzhu/ServingStudio/wt-glm5-3-flash-support/logs/20260924_1_glm53_flash_b200_tp4_ep4_corpus/requests.csv (drive_summary source_trace)",
+        "git:ServingStudioSim@e8d9ecce (branch new-impl-public-interfaces; not yet on main):trace/balanced_c32.csv (byte-identical)"
       ],
       "kind": "trace",
       "schema_version": null,
@@ -1461,7 +1462,6 @@
   },
   "replicate_of": null,
   "missing": [
-    "workload spec in git trace/ (none; name balanced_c32 needs review, see notes)",
     "prompt routes (not captured)"
   ],
   "notes": [
@@ -1470,6 +1470,8 @@
     "Engine version from the server log banner (09-24 09:27:30): 'version 0.1.dev20913+g3f667d7eb'; launch json fork_git head 3f667d7eb4572583f6ead3b677a55086bd2ecf3b, clean.",
     "Replay check: all 256 replay rows match requests.csv; 256/256 SUCCESS; every request got exactly its output_len.",
     "This corpus's provenance.json was not in the local HF cache at all; the claim that 869a5d39 revised two provenance files does not hold (see the report).",
-    "Prompt text enwik9: /raid/ssriram85/VibeSimWorkspace/main/logs/20260823_2_glm52_nvfp4_b200_ep4_c32_long_enwik9/corpus/enwik9, 1,000,000,000 bytes, md5 e206c3450ac99950df65bf70ef61a12d (matches the published value, per corpus/SOURCE.md and re-checked 2026-10-04), sha256 159b85351e5f76e60cbe32e04c677847a9ecba3adc79addab6f4c6c7aa3744bc."
+    "Prompt text enwik9: /raid/ssriram85/VibeSimWorkspace/main/logs/20260823_2_glm52_nvfp4_b200_ep4_c32_long_enwik9/corpus/enwik9, 1,000,000,000 bytes, md5 e206c3450ac99950df65bf70ef61a12d (matches the published value, per corpus/SOURCE.md and re-checked 2026-10-04), sha256 159b85351e5f76e60cbe32e04c677847a9ecba3adc79addab6f4c6c7aa3744bc.",
+    "Revised 2026-10-04: workload.spec now names trace/balanced_c32.csv (sha256 3965d955d19e6839240de814ae4a17c5c9c8fa185b1093c287f832a6336dc252), which ServingStudioSim commit e8d9ecce added as a byte copy of this capture's trace.csv; the spec and trace.csv have the same sha256. Previously spec was null and missing listed 'workload spec in git trace/ (none; name balanced_c32 needs review, see notes)'. No data file changed.",
+    "Revised 2026-10-04: the workload name balanced_c32, flagged above as needing review, is the name the spec was committed under in trace/ (trace/README.md 'Capture workloads')."
   ]
 }

glm53_flash_fp8/vllm_mtp_k5/diverse_100/capture/20260922/draft_popularity.json

@@ -0,0 +1,1195 @@
+{
+  "schema_version": 4,
+  "model": "zai-org/GLM-5.3-Flash",
+  "num_moe_layers": 1,
+  "num_logical_experts": 288,
+  "expert_parallel_size": 4,
+  "experts_per_rank": 72,
+  "experts_per_token": 8,
+  "count_semantics": "logical_routed_token_assignments",
+  "aggregation": {
+    "scope": "replay_window_within_role_specific_token_ceiling",
+    "observed_eplb_step_min": 750000006,
+    "observed_eplb_step_max": 750002708,
+    "record_count": 2703,
+    "raw_record_count": 2703,
+    "discarded_oversized_record_count": 0,
+    "discarded_oversized_eplb_steps": [],
+    "max_tokens_per_step": 2048,
+    "replay_start_monotonic_ns": 1605426394003552,
+    "replay_end_monotonic_ns": 1605670057190991,
+    "observed_monotonic_ns_min": 1605426481503657,
+    "observed_monotonic_ns_max": 1605669552221363,
+    "discarded_outside_replay_window_record_count": 0,
+    "max_forwards_per_step": 5
+  },
+  "expert_partitioning": {
+    "kind": "contiguous_logical_expert_ids",
+    "layout": "rank_major"
+  },
+  "counts_by_layer": [
+    [
+      192180,
+      170256,
+      245932,
+      200196,
+      159384,
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+        "run_provenance_path": "/raid/kanzhu/ServingStudio/old-wt/wt-glm53-dflash2/logs/20260922_2_flash_spec_captures/glm53flash/corpus/provenance.json",
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+          "num_layers": 42,
+          "num_experts": 288,
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+      }
+    },
+    "popularity.json": {
+      "sha256": "bc87197f253d6d9d323cd7b28062498e7145e701474a71d2fadb5fd56cfac76a",
+      "copied_from": [
+        "/raid/kanzhu/ServingStudio/old-wt/wt-glm53-dflash2/logs/20260922_2_flash_spec_captures/glm53flash/profile-popularity/expert_popularity.json"
+      ],
+      "kind": "expert_popularity",
+      "schema_version": 4,
+      "scope": "replay_window_within_role_specific_token_ceiling",
+      "extra": {
+        "same_replay_as_corpus": false,
+        "run": "cayenne:/raid/kanzhu/ServingStudio/wt-glm53-dflash2/logs/20260922_2_flash_spec_captures/glm53flash/profile-popularity (now under /raid/kanzhu/ServingStudio/old-wt/)",
+        "replay": "a separate replay of the same trace in the same Slurm job, just before the corpus pass: launcher alignment profile (profile_kind expert_popularity), trace-timed, client max_concurrency 64",
+        "server_argv_difference": "the popularity server adds --enable-eplb --eplb-config (log_balancedness, step_interval 1e9 so EPLB never rearranges); the corpus server drops both and adds --enable-return-routed-experts",
+        "fork_git": {
+          "path": "/raid/kanzhu/ServingStudio/wt-glm53-dflash2/alignment/profiler/vllm",
+          "head": "79838a5a18fde141b88a27d845dd0021b322b6b2",
+          "branch": "glm53-dflash2-alignment",
+          "status_short": ""
+        },
+        "spec_decode_metrics": {
+          "num_drafts": 32527,
+          "draft_tokens": 162627,
+          "accepted_tokens": 102781,
+          "accepted_tokens_per_position": {
+            "0": 28478,
+            "1": 23154,
+            "2": 19495,
+            "3": 16875,
+            "4": 14779
+          },
+          "mean_acceptance_length": 4.159867187259815
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+        "model_role": "target",
+        "expert_record_count": 2703
+      }
+    },
+    "draft_popularity.json": {
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+      "copied_from": [
+        "/raid/kanzhu/ServingStudio/old-wt/wt-glm53-dflash2/logs/20260922_2_flash_spec_captures/glm53flash/profile-popularity/draft_expert_popularity.json"
+      ],
+      "kind": "expert_popularity",
+      "schema_version": 4,
+      "scope": "replay_window_within_role_specific_token_ceiling",
+      "extra": {
+        "same_replay_as_corpus": false,
+        "run": "cayenne:/raid/kanzhu/ServingStudio/wt-glm53-dflash2/logs/20260922_2_flash_spec_captures/glm53flash/profile-popularity (now under /raid/kanzhu/ServingStudio/old-wt/)",
+        "replay": "a separate replay of the same trace in the same Slurm job, just before the corpus pass: launcher alignment profile (profile_kind expert_popularity), trace-timed, client max_concurrency 64",
+        "server_argv_difference": "the popularity server adds --enable-eplb --eplb-config (log_balancedness, step_interval 1e9 so EPLB never rearranges); the corpus server drops both and adds --enable-return-routed-experts",
+        "fork_git": {
+          "path": "/raid/kanzhu/ServingStudio/wt-glm53-dflash2/alignment/profiler/vllm",
+          "head": "79838a5a18fde141b88a27d845dd0021b322b6b2",
+          "branch": "glm53-dflash2-alignment",
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+        "model_role": "draft",
+        "what": "the MTP layer's routed experts (num_moe_layers 1), the draft half of the popularity replay",
+        "draft_expert_record_count": 2703
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+    },
+    "trace.csv": {
+      "sha256": "6db50ec83e10c92bdc885b0cfb8299823250c1e10520dae51217df695b801f87",
+      "copied_from": [
+        "cayenne:/raid/kanzhu/ServingStudio/wt-glm53-dflash2/trace/diverse_100.csv (now under /raid/kanzhu/ServingStudio/old-wt/) (capture_corpus.py --trace default, ROOT/trace/diverse_100.csv)",
+        "git:ServingStudioSim@8c5bfb0e (origin/main):trace/diverse_100.csv (byte-identical)"
+      ],
+      "kind": "trace",
+      "schema_version": null,
+      "scope": "independent-request CSV id,input_len,output_len,arrival_time (arrival_time in ms); the trace the capture's replay sent"
+    }
+  },
+  "replicate_of": null,
+  "missing": [
+    "prompt and rejected-draft routes (not captured)",
+    "MTP layer routes in the corpus (model layers 3-44 only)",
+    "acceptance for the corpus replay (capture_corpus.py records none; the popularity replay's counters are in files[\"popularity.json\"].extra.spec_decode_metrics)"
+  ],
+  "notes": [
+    "Checkpoint revision 03eb5366286afd40d2221b1d9c63a6dd1ba4832e read from the server --model snapshot path in launch.json.",
+    "Proposer: vLLM --speculative-config {\"method\":\"mtp\",\"num_speculative_tokens\":5} (vLLM's published recipe for this checkpoint); the MTP head ships in the target checkpoint, so the proposer checkpoint and revision are the target's.",
+    "Slurm job 833 on cayenne (run-glm53flash.sbatch) ran 2026-09-22T06:10:38-07:00 to 06:25:55: pass 1 expert_popularity 06:10-06:18, pass 2 token corpus 06:18:31-06:25 (server log 06:19:34-06:25:47).",
+    "An earlier corpus from job 831 (05:08-05:16, FNV 4232805247194895798) was written to the same directory and overwritten in place by job 833's; only job 833's survives and is staged. Jobs 827, 829 and 830 logged no completed corpus (their slurm logs end at the corpus pass start).",
+    "popularity.json and draft_popularity.json come from pass 1 of the same job (glm53flash/profile-popularity; schema 4, model_role target 42 layers and draft 1 layer, 2,703 records each, profile_result.json present). Its replay: all 100 replay.jsonl rows match trace/diverse_100.csv, 100/100 SUCCESS, every output length exact. Spec counters over that replay: 32,527 drafts, 162,627 draft tokens, 102,781 accepted, mean acceptance length 4.16.",
+    "Same checkpoint and workload as glm53_flash_fp8/vllm/diverse_100/capture/20260925/ (no proposer, fork 3f667d7e, max-num-batched-tokens 8192); different proposer, so a new key, not a replicate.",
+    "Corpus: 135,144 accepted generated tokens x 42 layers (the routed MoE layers; the first 3 layers are dense; model layer indices 3-44) x top-8 of 288 experts; routes.u16 is 90,816,768 bytes = num_tokens x num_layers x top_k x 2.",
+    "Checks run 2026-10-04: routes.u16 FNV-1a 64 equals manifest checksum_fnv1a64; size equals num_tokens x num_layers x top_k x 2; every id is below num_experts and no token repeats an expert within a layer; the 100 request_segments are contiguous and sum to num_tokens; routes.u16 equals the concatenation of the 100 per-request request_<id>.npz expert_ids in request order (byte for byte); all 100 request_<id>.json trace rows equal trace/diverse_100.csv (id, input_len, output_len, arrival_time); usage prompt_tokens and completion_tokens equal input_len and output_len for all 100; accepted_forwarded_tokens = output_len - 1 per request (the last generated token has no forward) and sums to num_tokens; capture_summary.json reports 100 requests.",
+    "capture_summary.json: 100 requests, 135,144 accepted forwarded tokens, replay 216.8 s.",
+    "Engine version from the server log banner: 'version 0.28.1rc1.dev448+g69ddfc3db'. launch.json records vllm_head 79838a5a18fde141b88a27d845dd0021b322b6b2 (the alignment fork, 'v0.28 base' in the hub README of the GLM-5.3 DFlash2 corpus); the banner's g69ddfc3db is the commit the editable install was built at, so the two disagree, as for glm53_nvfp4/vllm_dflash2_k7/diverse_100/capture/20260922/.",
+    "The run's own provenance.json (written by capture_corpus.py pack()) is kept verbatim under files[\"routes.u16\"].extra.run_provenance; it has no model layer indices, so extra.model_layer_indices is read from the per-request .npz files (all 100 agree).",
+    "Trace: old-wt/wt-glm53-dflash2/trace/diverse_100.csv is byte-identical to git trace/diverse_100.csv (sha256 6db50ec8...).",
+    "Prompts: capture_corpus.py cuts each prompt from the enwik9 token pool at offset ordinal*9973, tokenized linewise with the served checkpoint's tokenizer.json (the same scheme as req-frontend); each request_<id>.json records the prompt's sha256.",
+    "Prompt text enwik9: /raid/ssriram85/VibeSimWorkspace/main/logs/20260823_2_glm52_nvfp4_b200_ep4_c32_long_enwik9/corpus/enwik9, 1,000,000,000 bytes, md5 e206c3450ac99950df65bf70ef61a12d (matches the published value, per corpus/SOURCE.md and re-checked 2026-10-04), sha256 159b85351e5f76e60cbe32e04c677847a9ecba3adc79addab6f4c6c7aa3744bc."
+  ]
+}

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glm53_nvfp4/vllm_dflash2_k7/diverse_100/capture/20260920/manifest.json

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+  "top_k": 8,
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+}

glm53_nvfp4/vllm_dflash2_k7/diverse_100/capture/20260920/provenance.json

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+    "checkpoint": "incoai/GLM-5.3-NVFP4",
+    "revision": "54e52520606f96b3d9fc84088ad22882a61648ac",
+    "revision_inferred": false
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+  "engine": {
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+  "proposer": {
+    "kind": "dflash2",
+    "k": 7,
+    "checkpoint": "incoai/GLM-5.3-DFlash2",
+    "revision": "425aa615ce320caac34400208b30808c8f14f76c"
+  },
+  "workload": {
+    "name": "diverse_100",
+    "spec": "trace/diverse_100.csv",
+    "prompts": "enwik9",
+    "requests": 100,
+    "concurrency": 64,
+    "arrival": "trace-timed (each request sleeps until its arrival_time), at most 64 in flight (client semaphore)"
+  },
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+  "missing": [
+    "prompt and rejected-draft routes (not captured)",
+    "acceptance (not in the capture's outputs)",
+    "Slurm start and end times (slurm-686.out has no timestamps; the times come from the server log and file mtimes)"
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+  "notes": [
+    "Checkpoint revision 54e52520606f96b3d9fc84088ad22882a61648ac read from the server --model snapshot path in launch.json. The proposer revision 425aa615 is the --speculative-config model snapshot path.",
+    "Capture: Slurm job 686 on cayenne (submission.log; run.sbatch runs moe_investigation/accepted_token_routing/capture.py). The server log runs 09-20 23:47:37 to 23:55:19 PDT and capture_summary.json was written 23:55:19, so the capture was taken on 2026-09-20. On 2026-09-21 02:09, 20260921_0_token_sample/pack_corpus.py concatenated the 100 request_<id>.npz files into corpus/routes.u16 (it asserts shape (75, 8) per token, ids < 256 and distinct experts per layer) and wrote manifest.json and provenance.json; those three files are the staged source.",
+    "The collector is capture.py of the phase-0 run (sha256 d176ba42... per source_provenance.json), the hard-coded predecessor of capture_corpus.py: same request payload, same 64-request semaphore and trace-timed sleeps, same 9973-token prompt offsets; it asserts routed_experts shape (output_len, 78, 8) and keeps model layers 3-77.",
+    "Same server argv and environment as glm53_nvfp4/vllm_dflash2_k7/diverse_100/capture/20260922/ (launch.json argv and environment compared equal 2026-10-04); same engine banner and vllm_head 79838a5a. Only sim_head differs (1f862df8 here, 9e2c55a2 there), which does not reach the server.",
+    "Routes differ from the 20260922 capture from byte 16803 (1-based) on: request 0's 14 tokens are identical, and 134,177 of 135,144 tokens differ somewhere. The request segment lengths are the same (output_len - 1). The 20260922_0_expert_demand_evidence report used this corpus as the first run's corpus in its cross-run test.",
+    "Chronologically this capture is the earlier of the two; replicate_of points at the 20260922 capture because that one was published first (servingstudio-corpora) and is what presets reference.",
+    "Referenced by origin/main simulator/src/timing/expert_demand.rs, test corpus_reproduces_the_folds_the_prototype_measured (expected folds were measured on these bytes), and by branch glm53-dflash2 commit 9e2c55a2 (expert_token_corpus_file).",
+    "Corpus: 135,144 accepted generated tokens x 75 layers (the 75 target MoE layers; the DFlash2 draft is dense; model layer indices 3-77) x top-8 of 256 experts; routes.u16 is 162,172,800 bytes = num_tokens x num_layers x top_k x 2.",
+    "Checks run 2026-10-04: routes.u16 FNV-1a 64 equals manifest checksum_fnv1a64; size equals num_tokens x num_layers x top_k x 2; every id is below num_experts and no token repeats an expert within a layer; the 100 request_segments are contiguous and sum to num_tokens; routes.u16 equals the concatenation of the 100 per-request request_<id>.npz expert_ids in request order (byte for byte); all 100 request_<id>.json trace rows equal trace/diverse_100.csv (id, input_len, output_len, arrival_time); usage prompt_tokens and completion_tokens equal input_len and output_len for all 100; accepted_forwarded_tokens = output_len - 1 per request (the last generated token has no forward) and sums to num_tokens; capture_summary.json reports 100 requests.",
+    "capture_summary.json: 100 requests, 135,144 accepted forwarded tokens, replay 193.6 s.",
+    "Engine version from the server log banner: 'version 0.28.1rc1.dev448+g69ddfc3db'. launch.json records vllm_head 79838a5a18fde141b88a27d845dd0021b322b6b2 (the alignment fork, 'v0.28 base' in the hub README of the GLM-5.3 DFlash2 corpus); the banner's g69ddfc3db is the commit the editable install was built at, so the two disagree, as for glm53_nvfp4/vllm_dflash2_k7/diverse_100/capture/20260922/.",
+    "The run's own provenance.json (written by capture_corpus.py pack()) is kept verbatim under files[\"routes.u16\"].extra.run_provenance; it has no model layer indices, so extra.model_layer_indices is read from the per-request .npz files (all 100 agree).",
+    "Trace: old-wt/wt-glm53-dflash2/trace/diverse_100.csv is byte-identical to git trace/diverse_100.csv (sha256 6db50ec8...).",
+    "Prompts: capture_corpus.py cuts each prompt from the enwik9 token pool at offset ordinal*9973, tokenized linewise with the served checkpoint's tokenizer.json (the same scheme as req-frontend); each request_<id>.json records the prompt's sha256.",
+    "Prompt text enwik9: /raid/ssriram85/VibeSimWorkspace/main/logs/20260823_2_glm52_nvfp4_b200_ep4_c32_long_enwik9/corpus/enwik9, 1,000,000,000 bytes, md5 e206c3450ac99950df65bf70ef61a12d (matches the published value, per corpus/SOURCE.md and re-checked 2026-10-04), sha256 159b85351e5f76e60cbe32e04c677847a9ecba3adc79addab6f4c6c7aa3744bc."
+  ]
+}

glm53_nvfp4/vllm_dflash2_k7/diverse_100/capture/20260920/routes.u16

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cca383fd9d16f3f24b527d027bd90c0b66adecfd173a96a5cb3c607a0d4d6f67
+size 162172800

glm53_nvfp4/vllm_dflash2_k7/diverse_100/capture/20260920/trace.csv

@@ -0,0 +1,101 @@
+id,input_len,output_len,arrival_time
+0,364,15,0.000000
+1,20232,2615,1263.253921
+2,7448,2184,1656.395770
+3,441,607,3555.272049
+4,17025,11,3662.104244
+5,1919,3,4992.056920
+6,45281,66,6355.441554
+7,31799,3311,7108.251814
+8,1133,3,8881.731122
+9,82796,7159,14549.562209
+10,88613,478,14992.691559
+11,629,28,16523.948305
+12,85646,7,16623.166785
+13,24162,4355,16767.324482
+14,11420,1237,16858.837018
+15,1801,252,16922.621810
+16,3625,177,17289.121799
+17,472,26,18267.389513
+18,24634,3,18560.903913
+19,4881,321,19006.110740
+20,409,9,21821.723677
+21,394,4501,23076.384806
+22,762,3,24240.877182
+23,505,4403,24509.584974
+24,64498,7534,24554.795792
+25,17146,4052,25890.253686
+26,35830,9,27023.899459
+27,559,1542,28054.583755
+28,2227,163,28275.037626
+29,11635,9,28302.495929
+30,2461,2162,29245.745360
+31,29959,400,32482.477622
+32,124539,78,32859.931398
+33,9434,3,33810.787738
+34,122879,8192,36240.118661
+35,2386,92,37914.227787
+36,576,2045,39008.424872
+37,1219,606,41877.920219
+38,22582,123,45968.821233
+39,1901,905,58122.124339
+40,1774,5826,58146.902549
+41,131070,1,59050.215397
+42,2074,446,59473.033923
+43,18366,556,60460.669913
+44,31748,167,62142.703693
+45,96349,30,63724.135437
+46,27483,9,64075.085427
+47,6852,12,64246.559954
+48,20834,1034,64996.124286
+49,311,11,65065.777129
+50,306,4255,68887.585455
+51,8011,1701,69729.843128
+52,121871,4022,69845.796375
+53,921,222,72459.657111
+54,1374,4181,72595.566735
+55,43058,7,72885.204623
+56,1707,370,73119.798546
+57,1258,7,73134.082650
+58,2069,6870,73524.039375
+59,2614,3413,74618.413520
+60,38537,7816,76120.521276
+61,382,477,79294.870263
+62,966,3,79526.970665
+63,14046,370,81542.140252
+64,308,248,84249.710720
+65,96062,261,85556.155516
+66,107539,59,85876.200683
+67,4474,480,86406.752187
+68,256,8192,86933.636016
+69,5810,5,88058.620147
+70,9088,1417,89531.006006
+71,1422,62,91555.920861
+72,7880,203,92101.878536
+73,35613,299,93433.410822
+74,2526,1557,93449.739481
+75,8161,3,94826.804841
+76,1346,41,95809.095546
+77,596,11,96516.584182
+78,921,94,97567.560023
+79,59267,325,100160.986204
+80,290,33,100642.756052
+81,6634,28,101230.876879
+82,29345,1897,101463.033027
+83,530,292,101861.660306
+84,10364,101,102539.171885
+85,293,2673,105004.976473
+86,30807,285,105152.956992
+87,4511,9,105703.365712
+88,2556,3,105967.971120
+89,1608,1760,106440.400745
+90,1395,29,106925.665090
+91,256,1,108524.688227
+92,9044,55,109046.480429
+93,7205,15,109427.993820
+94,33624,2957,109587.885265
+95,4605,3,111284.316167
+96,8790,3938,112661.506159
+97,77587,20,112948.575975
+98,8699,6274,114097.535786
+99,2103,119,114912.471160

qwen36_35b_a3b_fp8/vllm/ctx8k_out1k/capture/20260818/provenance.json

@@ -11,7 +11,7 @@
   "proposer": null,
   "workload": {
     "name": "ctx8k_out1k",
-    "spec": null,
+    "spec": "trace/ctx8k_out1k.csv",
     "prompts": "enwik8",
     "requests": 256,
     "concurrency": 64,
@@ -134,7 +134,6 @@
   "replicate_of": null,
   "missing": [
     "checkpoint revision (inferred, see notes)",
-    "workload spec in git trace/ (candidate staged at tmp/servingstudio-workload-specs/ctx8k_out1k.csv)",
     "fork_git in the launch json (null)",
     "Slurm job (none recorded)"
   ],
@@ -146,6 +145,7 @@
     "trace.csv has the same 256 rows (8192 in, 1024 out, t=0) as the 20260802_5 trace used by the GLM-5.2 FP8 and Qwen3-235B ctx8k_out1k captures, but different bytes: arrival_time is written 0.000000 instead of 0.0. This run also used the independent frontend with the openai backend, where those two used the vibesim frontend.",
     "The load generator summary flags request 0 as first_context_overflow (8,192 + 1,024 = 9,216 = max_model_len); all 256 requests still succeeded with 262,144/262,144 output tokens.",
     "Replay check: all 256 replay rows match trace.csv; 256/256 SUCCESS.",
-    "Prompt text enwik8: coriander:/m-coriander/coriander/kanzhu/MoESim/vllm_kernel_profile/multi_slo_launch/text/enwik8 (reached as ref/vllm_kernel_profile/multi_slo_launch/text/enwik8), 100,000,000 bytes, md5 a1fa5ffddb56f4953e226637dabbb36a, sha256 2b49720ec4d78c3c9fabaee6e4179a5e997302b3a70029f30f2d582218c024a8 (read 2026-10-04)."
+    "Prompt text enwik8: coriander:/m-coriander/coriander/kanzhu/MoESim/vllm_kernel_profile/multi_slo_launch/text/enwik8 (reached as ref/vllm_kernel_profile/multi_slo_launch/text/enwik8), 100,000,000 bytes, md5 a1fa5ffddb56f4953e226637dabbb36a, sha256 2b49720ec4d78c3c9fabaee6e4179a5e997302b3a70029f30f2d582218c024a8 (read 2026-10-04).",
+    "Revised 2026-10-04: workload.spec now names trace/ctx8k_out1k.csv (sha256 2f6e1c0594b9d994577d815879e82ee590d4a059b89239bd39752affa41dfb25), added in ServingStudioSim commit e8d9ecce. This capture's trace.csv (sha256 3964b82f8beefd25ff2b816e862b4de74f0406f83c44f48450f6854497c2136e) is NOT a byte copy of that spec: it has the same 256 rows (8,192 in, 1,024 out, every arrival at 0) but writes arrival_time as 0.000000 instead of 0.0. The spec names the workload; trace.csv stays the file this replay sent. Previously spec was null and missing listed 'workload spec in git trace/ (candidate staged at tmp/servingstudio-workload-specs/ctx8k_out1k.csv)'. No data file changed."
   ]
 }

qwen3_235b_thinking_fp8/vllm/ctx8k_out1k/capture/20260803/provenance.json

@@ -11,7 +11,7 @@
   "proposer": null,
   "workload": {
     "name": "ctx8k_out1k",
-    "spec": null,
+    "spec": "trace/ctx8k_out1k.csv",
     "prompts": "enwik8",
     "requests": 256,
     "concurrency": 64,
@@ -113,7 +113,8 @@
       "sha256": "2f6e1c0594b9d994577d815879e82ee590d4a059b89239bd39752affa41dfb25",
       "copied_from": [
         "coriander:/m-coriander/coriander/kanzhu/MLSim_workspace/main/logs/20260802_5_glm52_fp8_ctx8k_c64/trace.csv (drive_summary source_trace)",
-        "/raid/kanzhu/ServingStudio/tmp/capture-sources/coriander/main/logs/20260802_5_glm52_fp8_ctx8k_c64/trace.csv"
+        "/raid/kanzhu/ServingStudio/tmp/capture-sources/coriander/main/logs/20260802_5_glm52_fp8_ctx8k_c64/trace.csv",
+        "git:ServingStudioSim@e8d9ecce (branch new-impl-public-interfaces; not yet on main):trace/ctx8k_out1k.csv (byte-identical)"
       ],
       "kind": "trace",
       "schema_version": null,
@@ -122,7 +123,6 @@
   },
   "replicate_of": null,
   "missing": [
-    "workload spec in git trace/ (candidate staged at tmp/servingstudio-workload-specs/ctx8k_out1k.csv)",
     "aggregation scope (schema 1 has no aggregation block)",
     "Slurm job (none recorded)"
   ],
@@ -133,6 +133,7 @@
     "Prompts were cut with the Qwen/Qwen3-8B-Base tokenizer because the Rust tokenizers crate could not parse the checkpoint's ignore_merges field (profile.yaml comment: same 151,643-entry vocab and merges); the server reported 8,192 prompt tokens per request.",
     "Replay check: all 256 replay rows match trace.csv; 256/256 SUCCESS; 262,144/262,144 output tokens.",
     "The popularity file is schema 1: record_count 4172 EPLB records, no aggregation or EP fields.",
-    "Prompt text enwik8: coriander:/m-coriander/coriander/kanzhu/MoESim/vllm_kernel_profile/multi_slo_launch/text/enwik8 (reached as ref/vllm_kernel_profile/multi_slo_launch/text/enwik8), 100,000,000 bytes, md5 a1fa5ffddb56f4953e226637dabbb36a, sha256 2b49720ec4d78c3c9fabaee6e4179a5e997302b3a70029f30f2d582218c024a8 (read 2026-10-04)."
+    "Prompt text enwik8: coriander:/m-coriander/coriander/kanzhu/MoESim/vllm_kernel_profile/multi_slo_launch/text/enwik8 (reached as ref/vllm_kernel_profile/multi_slo_launch/text/enwik8), 100,000,000 bytes, md5 a1fa5ffddb56f4953e226637dabbb36a, sha256 2b49720ec4d78c3c9fabaee6e4179a5e997302b3a70029f30f2d582218c024a8 (read 2026-10-04).",
+    "Revised 2026-10-04: workload.spec now names trace/ctx8k_out1k.csv (sha256 2f6e1c0594b9d994577d815879e82ee590d4a059b89239bd39752affa41dfb25), which ServingStudioSim commit e8d9ecce added as a byte copy of this capture's trace.csv; the spec and trace.csv have the same sha256. Previously spec was null and missing listed 'workload spec in git trace/ (candidate staged at tmp/servingstudio-workload-specs/ctx8k_out1k.csv)'. No data file changed."
   ]
 }