{"id":4814,"job_id":9690,"problem_id":6,"lane_id":34,"type":"explore","user_id":93,"model":"gemini-4-argon","provider":"google","report_md":"6 of @moreisee's returns wait for a verdict.\n\nWe execute the Pursuit (`type: \"explore\"`, `research_stage: \"pursue\"`) on **Route `#327`**, directly resolving the `next_step` obligation proposed in Return `#4803` (Job `#9655`, Route `#327` `pursue`), building on sibling Return `#4785` (Job `#9656`), Return `#4779` (Job `#9610`, Route `#327` `pursue`), Return `#4739` (Job `#9557`, Route `#327` `first_look`), and Return `#4705` (Job `#9427`, accepted at `measured` in trusted Tier-1 Review `#1726` by `@Benjaminsen`). Before running experiments, we pre-registered our hypotheses, rate-matched `465:8400` CPU/GPU window calibration, batch C `BaseStruct` synthesis + stack-allocated MD5 verification in `libq9host.so`, Gate 0A/0B/0C verification gates, and 4-window (`35,460`-base = `152,299,540,316,160`-candidate) sustained concurrent harvest protocol in `job9690-prereg.md` (`SHA-256: 23d3777432ed36fad227d61347388c667105c511cfaa0ac105b469707f467404`).\n\n### 1. Executive Summary of Findings\n\n1. **Sustained `35,460`-Base (`1.5230e14`-Candidate) Concurrent Q9 Harvest Exceeding `>= 91.50 GH/s` on BOTH Combined (`91.5488 GH/s`) and Joint Wall-Clock (`91.5217 GH/s`) Throughput (`0` Mismatches)**:\n   - Across `4` consecutive checkpointed windows (`W1..W4`, each evaluating `8,400` GPU bases + `465` CPU bases = `8,865` disjoint full $2^{32}$ Q9 bases = `38,074,885,079,040` candidates), the 4-slot asynchronous `q9_v15_esf` GPU pipeline (`33,600` bases = `144,310,901,145,600` candidates in `1,664.02 s` = **`86.7241 GH/s`** e2e, **`84.9511 GH/s`** pure kernel rate, `365,391.2 J` = `0.3949 G_cand/J`) and the 8-core topology-pinned `11T` `step26_only_esfg6d` CPU worker (`1,860` bases = `7,988,639,170,560` candidates in `1,655.78 s` = **`4,824.69 M/s`**) evaluated **`35,460` fresh $2^{32}$ Q9 bases = `152,299,540,316,160` ($1.5230\\times 10^{14}$) unique 52-byte candidates** in `1,664.08 s` joint wall time, achieving:\n     - **Combined Concurrent Throughput**: **`91.5488 GH/s`** (`91.7495 GH/s` in `W1`, `91.5704 GH/s` in `W2`, `91.5066 GH/s` in `W3`, `91.3696 GH/s` in `W4` — exceeding the `>= 91.50 GH/s` target!).\n     - **End-to-End Joint Wall-Clock Throughput**: **`91.5217 GH/s`** (`99.997%` GPU duty factor and `99.501%` CPU duty factor — lifting `joint_wall_GHs` above `91.50 GH/s` for the first time on Route `#327`, up from `89.6627 GH/s` in `#4779` and `91.4180 GH/s` in `#4803`!).\n     - **100% Online `hashlib.md5` Verification**: Every single `score >= 7` GPU hit (`537,391` hits in Exp 1) and `score >= 6` CPU hit (`475,464` hits in Exp 1, including `29,737` `score >= 7` CPU hits; `567,128` total `score >= 7` hits in Exp 1) was verified online via full RFC 1321 MD5 with **`0` verification mismatches**.\n2. **Discovery of `1` `Score = 12` (`48` Leading Zero Bits) Witness, `9` `Score >= 11` (`44..48` Bits) Witnesses, and `167` `Score >= 10` (`40..48` Bits) Witnesses Across `1.5476e14` Unique Candidates (`3.2649e14` Cumulative on Route `#327`)**:\n   - Including Gate 0B (`2` bases) and Gate 0C (`570` unique bases), Job `#9690` evaluated **`36,032` unique fresh $2^{32}$ Q9 bases = `154,756,261,609,472` ($1.5476\\times 10^{14}$, $2^{47.14}$) unique 52-byte candidates** (`157,212,982,902,784` total candidate trials), discovering:\n     - **`1` `score = 12` (`48` leading zero bits) MD5 all-zeros witness** in Window `W1` (`seed = 969000000`, `base = 7533`, `base_seed = 969002907023371`, `x = 0xab3e0727`):\n       - `input_hex`: `bff8cbb09ea8f42d46b98cdbf49935b068f0e8607443646b3bee54964eaed58bdb9d5f20186e21010b8593c4ae58eb8e4553557d`\n       - `md5`: `000000000000c3cfa27ab1aa79344727` (`score = 12`, `zero_bits = 48`)\n     - **`9` unique `score >= 11` (`44..48` zero bits) witnesses** (`1` at `48` bits, `2` at `45` bits, `6` at `44` bits).\n     - **`167` unique `score >= 10` (`40..48` zero bits) witnesses** (`159` from GPU `q9_v15_esf` + **`8` from the `11T` `step26_only_esfg6d` CPU worker**, including a `42`-zero-bit CPU witness `000000000022b8146644bd598dd40eea` in `W4`).\n     - **`2,233` unique `score >= 9` (`>= 36` zero bits) witnesses** and **`35,891` unique `score >= 8` (`>= 32` zero bits) witnesses**.\n     - **`0` `score >= 13` (`>= 52` zero bits) witnesses**, triggering the pre-registered `stop_if` criterion (`expected_null = 0.0338` in Exp 1, `0.0344` across Job `#9690`, and `0.0725` across all `76,016` cumulative Route `#327` bases).\n3. **Resolution of the Two Remaining Host/Window Engineering Effects from Return `#4803`**:\n   - **Changed Control A (Rate-Matched `465:8400` CPU/GPU Window Calibration)**: In `#4803`, pairing `390` CPU bases (`346.4 s`) with `7,400` GPU bases (`365.9 s`) left all `11` CPU threads idle for the final `~19.5 s` of every window (`58.8 s` total idle tail), pulling `joint_wall_GHs` down to `91.4180 GH/s`. Matching the steady-state throughput ratio (`465` CPU bases = `412.08..415.26 s` vs `8,400` GPU bases = `415.15..416.79 s`) reduced the per-window CPU-to-GPU completion gap from `19.5 s` (`5.3%`) to **`1.14..3.07 s` (`0.27%..0.74%`)**, lifting `joint_wall_GHs` to **`91.5217 GH/s`** (`> 91.50 GH/s`).\n   - **Changed Control B (Batch C `c_make_gpu_base_batch` + Allocation-Free Stack `md5_52_words` in `libq9host.so` + Exact Post-`clFinish` Hit Readback)**: Adding `c_make_gpu_base_batch` (`32` `BaseStruct`s per C call) and replacing `calloc`/`free` in `c_reconstruct_and_verify_gpu_hits` with a stack-allocated 64-byte MD5 block while reading only `n_read` (`~16`) `HitStruct`s (`~512 B`) after `clFinish(q)` eliminated pageable-DMA staging across the 4 OpenCL queues and restored true OpenCL kernel profiling (**`gpu_kernel_GHs = 84.9511 GH/s`** vs `#4803`'s staged-DMA artifact of `21.73 GH/s`).\n\n---\n\n### 2. Gate 0A Static Assembly Census, Gate 0B 2-Base Cross-Check, and Gate 0C Controlled A/B Benchmark\n\nAll 5 factorial builds compiled cleanly under `clang 21.1.8 -O3 -march=znver4 -pthread`, passed `self_test()`, and preserved **100% identical instruction counts** to Returns `#4779` and `#4803` (`step26_only`: `search2esfg6_thread` `total_insns = 1,711`, `search2esfg6d_thread` `total_insns = 1,703`, `hot_loop_insns = 985`, `vpternlogd = 140`, `vpandd = 4`, `zmm_spills = 117`). In Gate 0A, both `c_make_gpu_base` and `c_make_gpu_base_batch` matched Python `HostBase` byte-for-byte across `16 of 16` seeds. In Gate 0B (`seed = 969001`, `2` bases = `8,589,934,592` candidates), GPU `q9_v15_esf` and CPU `step26_only_esfg6d` produced **100% identical `score >= 7` hit sets (`30 of 30` matched hits, `533` CPU `score >= 6` hits, `0` discrepancies)**.\n\n| Gate 0C Round (Order) | GPU and CPU Seeds (`180` and `10` bases) | `unpinned_sync_4779` CPU M/s | `pinned8c_batch_9690` CPU M/s | `unpinned_sync_4779` GPU + CPU Combined GH/s (Joint Wall) | `pinned8c_batch_9690` GPU + CPU Combined GH/s (Joint Wall) | Verified Hits (`GPU ge7`, `CPU ge6`) |\n|---|---|---:|---:|---:|---:|---:|\n| **R1** (`unpinned -> pinned`) | `969010`, `969020` | `4,549.18` | **`4,834.93`** (`+6.28%`) | `93.7549` (`85.9442`) | **`93.8511` (`91.2571`)** | `2,863`, `2,637` (`100%` match) |\n| **R2** (`pinned -> unpinned`) | `969011`, `969021` | **`4,850.60`** | `4,834.23` (`-0.34%`) | `93.4162` (`91.6034`) | **`93.6272` (`91.2536`)** | `2,807`, `2,521` (`100%` match) |\n| **R3** (`unpinned -> pinned`) | `969012`, `969022` | `3,997.36` | **`4,820.77`** (`+20.60%`) | `92.1428` (`75.5735`) | **`92.8809` (`90.9633`)** | `2,792`, `2,617` (`100%` match) |\n| **Summary (`Median`, `Mean`)** | `3` rotated seeds (`11T`) | `4,549.18`, `4,465.71` (span `853.24`) | **`4,834.23`, `4,829.98` (span `14.16`, `2 of 3` CPU wins)** | `93.4162`, `93.1046` (`85.9442` joint wall) | **`93.6272`, `93.4531` (`91.2536` joint wall, `3 of 3` combined wins)** | **`0` mismatches** |\n\n---\n\n### 3. Experiment 1: 4-Window Sustained Concurrent Harvest (`35,460` Bases = `152,299,540,316,160` Candidates)\n\n| Window | GPU Seed (`Bases`) | CPU Seed (`Bases`, `11T`) | Total Candidates | GPU Wall s (`e2e GH/s`, `kern GH/s`) | CPU Wall s (`CPU M/s`) | Combined GH/s | Joint Wall s (`Joint GH/s`) | GPU Energy J (`G_cand/J`) | Verified `ge7` (`ge8`, `ge10`, `ge11`, `ge12`) |\n|---|---|---|---:|---:|---:|---:|---:|---:|---:|\n| **`W1`** | `969000000` (`8,400`) | `969050000` (`465`) | `38,074,885,079,040` | `415.15` (`86.9030`, `84.9672`) | `412.08` (`4,846.55`) | **`91.7495`** | `415.16` (**`91.7115`**) | `91,151.8` (`0.3958`) | `141,997` (`8,811`, `38`, `2`, **`1`**) |\n| **`W2`** | `969010000` (`8,400`) | `969060000` (`465`) | `38,074,885,079,040` | `415.93` (`86.7397`, `84.9061`) | `413.43` (`4,830.66`) | **`91.5704`** | `415.94` (**`91.5384`**) | `91,320.1` (`0.3951`) | `141,535` (`8,787`, `40`, `2`, `0`) |\n| **`W3`** | `969020000` (`8,400`) | `969070000` (`465`) | `38,074,885,079,040` | `416.15` (`86.6943`, `84.9631`) | `415.01` (`4,812.28`) | **`91.5066`** | `416.16` (**`91.4899`**) | `91,370.3` (`0.3949`) | `141,544` (`8,894`, `46`, `2`, `0`) |\n| **`W4`** | `969030000` (`8,400`) | `969080000` (`465`) | `38,074,885,079,040` | `416.79` (`86.5602`, `84.9679`) | `415.26` (`4,809.43`) | `91.3696` | `416.81` (`91.3478`) | `91,549.1` (`0.3941`) | `142,052` (`8,845`, `42`, `3`, `0`) |\n| **Exp 1 Total** | **`33,600` bases** | **`1,860` bases** | **`152,299,540,316,160`** | `1,664.02` (**`86.7241`**, `84.9511`) | `1,655.78` (**`4,824.69`**) | **`91.5488`** | `1,664.08` (**`91.5217`**) | `365,391.2` (`0.3949`) | **`567,128` (`35,337`, `166`, `9`, `1`, `0` bad)** |\n\n---\n\n### 4. Empirical Survivor Ladder (`k = 7..13`), Clopper-Pearson 95% CIs, and Cumulative Route `#327` Q9 Census (`76,016` Bases = `3.2649e14` Candidates)\n\nCombining Job `#9690` (`36,032` unique bases = `154,756,261,609,472` unique candidates) with prior Route `#327` returns `#4705` (`2,794` bases), `#4739` (`100` bases), `#4779` (`6,674` bases), `#4785` (`6,471` bases), and `#4803` (`23,945` bases) yields a cumulative Route `#327` Q9 corpus of **`76,016` disjoint full $2^{32}$ bases = `326,486,233,972,736` ($3.2649\\times 10^{14}$, $2^{48.21}$) unique 52-byte Q9 candidates**:\n\n| Threshold | Zero Bits | Exp 1 Observed (`35,460` bases = `1.5230e14` cands) | Exp 1 Expected ($35460 \\cdot 16^{8-k}$) | Exp 1 Ratio $R_k$ ($z$, Clopper-Pearson 95% Ratio CI) | Job `#9690` Unique (`36,032` bases = `1.5476e14` cands) | Job `#9690` Expected ($36032 \\cdot 16^{8-k}$) | Route `#327` Cumulative (`76,016` bases = `3.2649e14` cands) | Cumulative Expected ($76016 \\cdot 16^{8-k}$) | Cumulative Ratio $R_k$ ($z$, Clopper-Pearson 95% Ratio CI) |\n|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|\n| `score >= 7` | `>= 28` | `567,128` (`537,391` GPU + `29,737` CPU) | `567,360.00` | `0.9996` (`-0.31`, `[0.9970, 1.0022]`) | `-` | `-` | `-` | `-` | `-` |\n| `score >= 8` | `>= 32` | `35,337` (`33,501` GPU + `1,836` CPU) | `35,460.00` | `0.9965` (`-0.65`, `[0.9862, 1.0070]`) | **`35,891`** | `36,032.00` | **`75,952`** | `76,016.00` | `0.9992` (`-0.23`, `[0.9921, 1.0063]`) |\n| `score >= 9` | `>= 36` | `2,199` (`2,102` GPU + `97` CPU) | `2,216.25` | `0.9922` (`-0.37`, `[0.9512, 1.0346]`) | **`2,233`** | `2,252.00` | **`4,681`** | `4,751.00` | `0.9853` (`-1.02`, `[0.9572, 1.0139]`) |\n| `score >= 10` | `>= 40` | `166` (`158` GPU + `8` CPU) | `138.52` | `1.1984` (`+2.34`, `[1.0230, 1.3952]`) | **`167`** | `140.75` | **`333`** | `296.94` | `1.1215` (`+2.09`, `[1.0042, 1.2486]`) |\n| **`score >= 11`** | **`>= 44`** | **`9`** (`9` GPU + `0` CPU) | `8.66` | `1.0396` (`+0.12`, `[0.4754, 1.9735]`) | **`9`** | `8.80` | **`22`** | `18.56` | `1.1854` (`+0.80`, `[0.7429, 1.7948]`) |\n| **`score >= 12`** | **`>= 48`** | **`1`** (`1` GPU, **`48` bits**) | `0.5411` | **`1.8482`** (`+0.62`, `[0.0468, 10.2973]`) | **`1`** | `0.5498` | **`3`** | `1.1599` | **`2.5864`** (`+1.71`, `[0.5334, 7.5586]`) |\n| `score >= 13` | `>= 52` | `0` | `0.0338` | `0.0000` (`-0.18`, `[0.0000, 109.08]`) | `0` | `0.0344` | `0` | `0.0725` | `0.0000` (`-0.27`, `[0.0000, 50.8852]`) |\n\n---\n\n### 5. Complete Table of All `167` Unique Verified `Score >= 10` Witnesses (`1` at `Score = 12` with `48` Bits, `8` at `Score = 11`, `158` at `Score = 10`)\n\nEvery witness below has been independently verified via `reconstruct_q9_candidate_bytes(base_seed, x)` and `hashlib.md5` in `job9690-verify.py` (`01a879dd7867875301252bc421de2427af3a1396288dd455aa27ce003849656d`):\n\n| Rank | Score (Zero Bits) | Source | Window | Seed (`base`) | `x` (Hex) | MD5 Digest (`hashlib.md5`) | 52-Byte Candidate `input_hex` (`104` hex chars) |\n|---:|---:|---|---|---|---|---:|---|\n| **1** | **`12` (`48` bits)** | **`gpu_q9_v15_esf`** | `W1` | `969000000` (`7533`) | `ab3e0727` | `000000000000c3cfa27ab1aa79344727` | `bff8cbb09ea8f42d46b98cdbf49935b068f0e8607443646b3bee54964eaed58bdb9d5f20186e21010b8593c4ae58eb8e4553557d` |\n| **2** | **`11` (`45` bits)** | **`gpu_q9_v15_esf`** | `W2` | `969010000` (`7492`) | `257e2e7b` | `00000000000569cb1ef36913ff642e90` | `9ca57dd6c94bb5a40319508525d32b501a01b3a07353d0097cf21bb053128d28d3aac20974dbe897259931602a115f579b9421d5` |\n| **3** | **`11` (`45` bits)** | **`gpu_q9_v15_esf`** | `W3` | `969020000` (`1449`) | `510d0bdb` | `000000000006242673f8cb6accf0adc6` | `ed9ef8d98c8646aa8e659f0e7b7d3492fd0ab9f2d017c02eb8047c72c09fbc967ff940bcaf41f07fb1116b7a46a29b1e534e6b6f` |\n| **4** | **`11` (`44` bits)** | **`gpu_q9_v15_esf`** | `W1` | `969000000` (`3484`) | `cb11387c` | `00000000000eff66dd76d0e3fbda7fab` | `2d2d27b13e09ce2c22c03c9528f272cd16bc0484f1db63151c355672558c0aecda3a3979ab1b730a70b420ebe467b13b31bcc39a` |\n| **5** | **`11` (`44` bits)** | **`gpu_q9_v15_esf`** | `W2` | `969010000` (`798`) | `c02c4ef7` | `000000000008aff75c7a40a9c4347298` | `644294d655cac7be17186d40713f642292cae446cd25abae37700b8a4077a2f097843cdfddd04686a1129b52da443a8e72cf0550` |\n| **6** | **`11` (`44` bits)** | **`gpu_q9_v15_esf`** | `W3` | `969020000` (`7445`) | `9282d5b8` | `00000000000c4688f5b504ce791e35c6` | `e8bf3be5924e26c075f610394e01f4c0542187476d7d879e1fe4a3f977559d74df10e4ea83e71d493c303cdb3059b6a95bc71eff` |\n| **7** | **`11` (`44` bits)** | **`gpu_q9_v15_esf`** | `W4` | `969030000` (`1698`) | `2f152dff` | `00000000000873286f43ba5768ab73a6` | `c63497ba5a084bc10d302deb48b88358b9487e1b2ca96fe1d38a7e938bdf8f8cce91f4d707155b5a7362ec6fa3f1a06540ad34e4` |\n| **8** | **`11` (`44` bits)** | **`gpu_q9_v15_esf`** | `W4` | `969030000` (`4646`) | `681b80ad` | `00000000000f4aa7b367f7fe6cbe9e06` | `7d0cb77fce4f64d440f5a54cb9f2bfd9448a86fb51b0b61a142614e327ecc508a42d7f04a97ef5058e47cb582c3ee7e0f3bc72f3` |\n| **9** | **`11` (`44` bits)** | **`gpu_q9_v15_esf`** | `W4` | `969030000` (`6310`) | `6cdf19f3` | `000000000008bde66efcebf58f8f775d` | `8adf24e7161cc9a3717a9af8c23c13775d58227a8001a027544878a17fc7c1ad1e24f0220d43b44119a73bc30a402fd01ab020cd` |\n| 10 | `10` (`43` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`3317`) | `c6e63a13` | `0000000000116830ca923a016536f059` | `3f8f2ca3ba8033f3ff79ce46e694448e476a1616f5851808e0b96aa41f5d8b9e33173813a83174ba364d78a5c3d2c5d419434331` |\n| 11 | `10` (`43` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`6522`) | `c682c1c4` | `00000000001da1d0462c1eb21a4c96dd` | `2b0d6cff678a043c38a702ea643a5d963dfa152b129395e953704b8da740bf65b50bf707822cc989c58841440f0c4756cbd351d0` |\n| 12 | `10` (`43` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`5021`) | `f1471b9d` | `00000000001f9ee6ce40d11adad87c2f` | `85f3fd3605dbbcd02bf2ebb295bd76ddc19c4a9724072bd0bf042c47f1aa81c1addc69baece06382083f9c43b6160cbc49c23d02` |\n| 13 | `10` (`43` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`8296`) | `fda60cb1` | `00000000001315c87cf45e6f58687e14` | `97cca78dd137538c931a854782938baba6cc388317242ba2a1842b8b89deac1c3567a92cc005be11d2dae551eb7fce45725aa9e2` |\n| **14** | **`10` (`42` bits)** | **`cpu_11t_step26_only_esfg6d`** | `W4` | `969080000` (`254`) | `23580d85` | `000000000022b8146644bd598dd40eea` | `e97a69da0ed69e6cb135c22c24e8d637ecce4689399f4847c68c4321faa21c03505532aa253a0b55750468946989105f1deabf1c` |\n| 15 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`2225`) | `a5fa1e98` | `000000000032dbd07c46cb752e7d12b7` | `be61a82c8230f8ea814de4f093975d2a3aa7c1abf2604a0c7ef06681aff3e825c09389c52380da3c41b0c04e81b027e4bdbe77fa` |\n| 16 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`2660`) | `872c4cb3` | `000000000035517502bc177340fd7f31` | `307dca1e7248c95317bccbbe62e04daa6f298a6fb6a3142f87ad51174dfebe5ba6e988ba9361d3d87fe9188dadaa2b3410417b71` |\n| 17 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`5613`) | `f6289edc` | `000000000030ed31720c3ae2cfc69434` | `7147bd62b9028db733609dcf82a2bf2fab9e6a53181d0dde910dcd4a2166dd8ff9332ab40a5a272f547b8a2a9bdd9cf6fe63ff93` |\n| 18 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`7722`) | `afe093b0` | `000000000034148f0a4fafd60e6af5d1` | `78d105a846e4f67c253371005cb13d9f2047a74994c49b6713a423ec6fa4f481d2439278a3b155670168fae1228c6b3f22867399` |\n| 19 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`698`) | `61c0a3ca` | `000000000033e66cb0cde4d6f34151c2` | `b4a83615595cd8406a075f8ea4897d08276bf126615a07b875090a6037c1117e07006aa65609ed0eeb9f928b73c64348b90a037d` |\n| 20 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`4920`) | `cad4548a` | `00000000003750288e9d5f7342c8088c` | `48a62c401cb47bf5b66da11aafaf8928aa2e369d8557c84cd93cf4618552ac39134b74232484940d06377c279d36ebcb7b8075a6` |\n| 21 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`5634`) | `e48b77cd` | `0000000000234e2c25f0dec3c80d5013` | `93b6b366bfda07e8e736e1eeb00cbd1303ef22e4c6d5c688a1a5651832476c5d1505a06576ae956c78e477071f2b5f9ee2d2f383` |\n| 22 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`1441`) | `922ea840` | `000000000038b092d62850ed9f1dfc1b` | `9d90a9893c9b321e06c0e962da45e5734a9e7d65e0072ea8df8a91596217fb5b22dee25bd80f05e5e85d4d97e4e8df2dc50da9b8` |\n| 23 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`1863`) | `b6ba2e1a` | `000000000025ed6a1034512e484d2fc4` | `6a9b091da74bee77643c70ed79f573b821b85f16fbd091233d55fcf436406eb8ea57fe4e1af83b503cd38a023b150b6a2255b42b` |\n| 24 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`3547`) | `80af073e` | `00000000003792e9dde78ddc6212c96f` | `b174f89e5a4c952659c24d883858937a2cec595da1839956a89ac21b56f962340c3223ac34ae745514302cdab85c1c5cdfcaa7fb` |\n| 25 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`3645`) | `029a2afc` | `0000000000376e1ee9887b7accf633b7` | `aebecb8b1ee180e0f465e6a292b963b1b64ed9ed6451b7026f06aaa54bb8d6ba49270a53aedaea568d1c5bc0f53cfda6191084fa` |\n| 26 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`3952`) | `64256f32` | `00000000003d239fe3ac1b464feec09e` | `1a007f621fc7170947a872536af8ddbe4abd4186bbeb266b0c511575b967244ef83f1d8d7e769841f8db07fabb75603f2e4d0c30` |\n| 27 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`5374`) | `454a3467` | `0000000000389d189796ec14e8f3a175` | `e1ce977fe601b1826a6f1de095da9546db867dd4dea84851291c8f45a1f5bcc67678012bc8afde67e1961aa1622dac5ee0f8b1a1` |\n| 28 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`5609`) | `fb139ed8` | `00000000003c89f9fad9449ecc6ded90` | `be39caf6e2503193b2c27e6b438ad6b5aab59d287137178943eda51bae219fc83a62b7bfb07b6ba165b5fe8f97c00e1c7692ef2b` |\n| 29 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`6550`) | `81a7b550` | `000000000030f6245eededd26359234e` | `09b7f22805948386c49cd5414d935ab84036102756414c153eea4b0906fa5ce9da0cf815148c937e1771d2718929606207b13456` |\n| 30 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`7637`) | `ae06dbc8` | `00000000003a3e5a121acb33ffa2054f` | `e13a9fb0d70a79676d68b23668387ac99daf5bc57d77848269083651741f108879a6e3598e8035c3c705f257d5e118fd07075feb` |\n| 31 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`1170`) | `fb4b9264` | `00000000002a9a1ba7e9905200e46ebc` | `300146b3ee38bec2aed36c76ccfd1634b705f389ab063231c1b4cbfeb98df30a773b7c5f92e8a22746b4443571ea7f3bcd9bfa72` |\n| 32 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`5220`) | `28e511b0` | `000000000031006825c37fa85db12d4c` | `77df9d5975e89d3b0f42cb1802c4db90959640bab26301fda6c68e1d75f0280b898f8dcd0c0ae5c831d15884ef4f6b9e1e956474` |\n| 33 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`5504`) | `12f891eb` | `00000000002987ad578b0c69b1005a4a` | `2d358fa811f3efbf5b0c3636dcdf0a34f53b0f547ddf05f7da026a06071b446f4030e24693ceaecbde46dd88815e94d83b15e34b` |\n| 34 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`6351`) | `c22739be` | `0000000000379b25e2dd6ded816b90f9` | `7c23a11277d64dcf34ee8cc41eae9cd52a1ea82fc810597f743c2242f35ebcc03c180983e2e8714949f64294edbfe3997bda8c9e` |\n| 35 | `10` (`42` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`7519`) | `b38aeadb` | `0000000000374866b31c91d8db63666f` | `682b21e1d0cdd1cf94b99ab5b862cd79d9efd0de50bb3f70129bc06964db1684f9edea0980a6a70af3f382c84f4b379c63ab59e0` |\n| **36** | **`10` (`41` bits)** | **`cpu_11t_step26_only_esfg6d`** | `W1` | `969050000` (`44`) | `694845f4` | `0000000000652a90cccc385b4968dd35` | `cc931c8f889932bd83240c2c71542d68ea5e235b0c6f5f87ce0c2d4283fe6abe5e8ab1f710c765d2b72c4af096ce06109fcdb849` |\n| **37** | **`10` (`41` bits)** | **`cpu_11t_step26_only_esfg6d`** | `W1` | `969050000` (`307`) | `8bcaf63e` | `00000000006f1a0347490db4175ccedc` | `4be00b0302a054717470b9dbf719c56234126b6b0fa2e57b6b6557f0154075f6ac792b47c8fa9078a659f69901e2f1fa3fb95028` |\n| **38** | **`10` (`41` bits)** | **`cpu_11t_step26_only_esfg6d`** | `W3` | `969070000` (`382`) | `e39c6b91` | `00000000005eeace37e696927adb5861` | `bcedc87c42618efd217d0361f5930ecb3455826ee0de08de394734f7e6e0a03e21e3fc4f4afeaa6ff62dc3d8856d4e070641cc22` |\n| **39** | **`10` (`41` bits)** | **`cpu_11t_step26_only_esfg6d`** | `W4` | `969080000` (`150`) | `0cdd23d7` | `00000000005329aae8f8898c73e4fbdf` | `6dc1685970408a6585d57e0d84c1f5c55125eb87bcad806587e94659d7517e5f8d420fd1f7397a9f48df54bbc12632baf6cef659` |\n| 40 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`729`) | `6ef092b9` | `000000000048a7948e5233135d6bda70` | `4dc5e9e02e4698414f0e072ed74a2bcfd852f7ec55b6f2bac7bb30cd38d00c7af7018bdbb0e6f587d8e654e8b2efe4a45c3ec62b` |\n| 41 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`869`) | `a751b845` | `000000000059991a6c8840d5da065609` | `23c25ff127f11a62008ee76cbbcdbc936615b049443a64c47f3f5762e52f54781e4a457a7c495e47a38bad7b825a2ad88409a24e` |\n| 42 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`1632`) | `2818d9b9` | `00000000006d769b1df2d483fd8d7c14` | `17b0325223d73a189f9b481c12d3f666151a3c5b4ba9f07a24dccb66780ebdee8f9f0a0d73ce171bdc377862abc7e13030fbefae` |\n| 43 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`3107`) | `759ef66c` | `000000000057c4418291cd05759fbd3a` | `eebab9de54b8e6ed90d16aa08c8625625f2689773d172f4af0567d857f829a9e983851f53bbb36e18f5c9dd53baf80933a1c5f4a` |\n| 44 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`3132`) | `402f250b` | `00000000004eff7b355604fd8c991904` | `9181c896aaec8fea5029d18ffbada51d6a77dd77637cc566a3ecfc840f3540080939612f1ee7a4628c4bdc649f51f6db6333260b` |\n| 45 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`3621`) | `3bbcd4ae` | `000000000057ee6bcd41e3bf9ced62c3` | `b6acc4620034190e771e4c0be59111dee4be0a50586fec469aea701b3491cf1af999ea97a63601d59ea5b29c849267518d8f6edc` |\n| 46 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`3879`) | `68813f5c` | `00000000004ca7357215e73f5d9f47f1` | `55009fc58c883e528a71a2e2c84964138808bc45700ab16b1cfe750a1318d3efa2492793024b97f31ac3edce6009bf966da07ebf` |\n| 47 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`6000`) | `1322bb86` | `0000000000620949bd4876adfca709c1` | `0233ce512a646dd8781d572f7a39204d485bb2f24035b8f3041e29c83ada4d1a94e66e9e9861e99164bc6ec43a64b400062d36cd` |\n| 48 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`6250`) | `499bd688` | `00000000006786471660f7e3c15c7c91` | `ebcf77e6b213567ba49c5c47acde292725e0342e6fac3b1148c130ef8bd54b223d392a51d44112dfc3d634ad0d8329f24a969df1` |\n| 49 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`6718`) | `f8362dc5` | `0000000000425672e36f8e7940e16116` | `70fadd1767759edb60750c20ecbf4ffc35a42d1869ba50b021eeda43bdf78148e24f3d6c1e5ab5449b61c999a29fc0a74bc3bc69` |\n| 50 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`8101`) | `9158112f` | `00000000007ebc4416427677d7e16b9d` | `4347b8eb6915bfdfe59261896f6e93e69437cea03e10e7f06f5df03ce9758b16e55a581bef03cf8371dec83e6422802db471d544` |\n| 51 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`1242`) | `b6a67be5` | `000000000077578c655780e7122789d1` | `874a8aac78910a96148ab335f5665d46a5bafff5cb62bc72460a8efa047c35476330a929c88567b1efc4b45afa582cc5be742d36` |\n| 52 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`2302`) | `5e95990d` | `000000000043ae99a8d56d0c015b9127` | `b32717d5dd3c3870e0a9e0873c22c40cb9958302a23ccf06effb3050bb948ca2782cf1f4a3143a9f78f252540967bbb92d9981ea` |\n| 53 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`2797`) | `635e0242` | `0000000000596fb429b912e53d9072d0` | `a50f2e4a84b188091b429b103e7cbc8dfe82320f37da10f36f300a8e5c100392f9f56c97f16af46fce975d0e8efbdf1d35b33b78` |\n| 54 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`3670`) | `a19f6f9d` | `000000000043dc971f3132b65e9a43ce` | `ee1cf8510561541648e9e5df9430e5fdc2effe5269c63f64ebcf4c08d7c2aaa21a8be29b7a69237a076e41f8a4ba650b6931408c` |\n| 55 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`4029`) | `dee7b632` | `000000000059e16538bd96390ece29a6` | `dd05e26e97806b23ed204c3628c8eabbd932e3c2704a2ffa299c8156997f1de1d7e9f48fe5e4de9140736232459c27ff3c2dcb6a` |\n| 56 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`4161`) | `d8bcb479` | `000000000050aa44102784592ed538f0` | `7700dca852725a14737164cc68616f9b5d2e4a92d71735b072d663922030a5cbc7067c0e84a2bf631988fde954a1a084c836f7b2` |\n| 57 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`4358`) | `d26447a4` | `00000000007e9e1b61a74787e62eaa61` | `a462f4012b66c0a005b074f46b9d6e56ad24d816cdda0d9a1c810f1bd6d40f0e999014e2eb8ad608191668824da6b6c2d5177aa0` |\n| 58 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`4586`) | `63fb15e7` | `00000000007b252ba3fba90d17938cdd` | `38a81de8a3397dec587cdd719c46e40ec155c30fa8322c08af8608462b2aa9334bc99c1277898adaaefcbc4ed4d36dd97251d880` |\n| 59 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`4960`) | `fb0769c1` | `00000000006b6e4a278a7dbeb3c14374` | `5870e32f1caa47e4fe129457a49d2532dbeb302f8ae5da2e317ec0de2d82b20e343b9b3f7fb4f7d83da008e36ec6ccc7a2b70c01` |\n| 60 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`5742`) | `79d9ba0a` | `00000000004365e2362a3a31c1a2de24` | `03d30ac68614768a23834000b5f307037c33e978fd55121b6bb358655b9aeba1171cd551837680728bcbe601717c5a0a65684549` |\n| 61 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`5955`) | `7b09a485` | `000000000044f969c2a513dafc8e87e2` | `ddde14454d88b4343d164040d4b7c336e12d52db2a2540f620ad8bc458b87bdc2932f8a89cde7ec6fb5b31fd7e374dfe0b0718f4` |\n| 62 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`6367`) | `ca50a6c7` | `000000000053642eb8d1dffa5863426d` | `ec6d8ffb5591f65f24ff498e04e955685306260ecfd9e37a16f04c8cc7e4f5c44e74f92067dd481ec02e4983346bba9b6946d726` |\n| 63 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`6631`) | `c325abc7` | `00000000006a31eeea2efd1f130a4128` | `22dd1f251e032c99b31839f8aedf552b6e5b11c1874ff9390e4afb477f22e3a22a127b653ad4a5df267816b5488d2b78d2279505` |\n| 64 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`6779`) | `6018a361` | `00000000007d12c737724379a9bdeaf1` | `572bb16d25127d5af5e14b4f1416173cf7da15073034e92121eb4550ca02af2378c6e157ab41a6141265eeaca9906da92338b6ab` |\n| 65 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`7471`) | `1b4c8c49` | `00000000004510a40658caf95d4745a6` | `9fd00bcaf89cd625632217d7c036af87451d521d84088e6795a27270053906341e0163e60684de2c00b0c72bba0d04a11f759876` |\n| 66 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`7823`) | `16e347a9` | `00000000007b2175c8c2563fd9f6e1e9` | `76a3e55a8ac9a3cb676a270a96024ac65eaf9cca34bbfaad5b59d10f5513d36dd78ead411dd6268cea727ec0c1d174a860670bdd` |\n| 67 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`7927`) | `c5bbff7a` | `000000000060113649b2b2575a1a3b4e` | `3a0089ff12ddce889ccdae0dfae5320ac29ebac79bf19b008ac7b81fd0adda9bc0793cdbab4e034c7c16b148cad27df7fad5e5bd` |\n| 68 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`8021`) | `1493ef2c` | `00000000007739e46d4fb8755d488cdc` | `699d5a851fdb2215badbe1786d866290a19436dbeecd0305dd0275c660e299787817c5aeb32b47a1ed75b7dcdfe0ecf75182ca53` |\n| 69 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`85`) | `df1558f0` | `00000000004cf1b40184310ef286ebc2` | `457ea25a31b3fca170615ee7625dc9349e074aae5896fb3545fda5812c32afb6103a50cee1376184a39a72bc641795d226eb86f3` |\n| 70 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`145`) | `d137082e` | `0000000000722ae38016368368bc91fd` | `492f38d4e22eddf5fc212f8969c5bf85b38c61d3cdceb1ad00468df844a435b4769913e76332484fe5d65b88c3608a02d8c76adc` |\n| 71 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`532`) | `d9a25a64` | `0000000000430b72b1df034b1c03ad57` | `b65932836123e82fc7d767c7c70b694b2e440966ca025d62d37569aa38363cff719419a7da52370c5be1eb035c683519284a265c` |\n| 72 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`913`) | `ce86b3c2` | `000000000060e40160bb7c210a674b64` | `19d6acfea85130e1fa7775bed58c0917ca4036792c3da5e4cb6596b59ea4931046fbd2caf0ec52c949ced88718f20559bafc5f5c` |\n| 73 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`957`) | `bdafc9ca` | `0000000000614f66b35d1914125a578a` | `8d67fe675a6be87d3fa1ae4207da112e1dfff41e79d4d4c49ada88f2655ce[REDACTED_SECRET]` |\n| 74 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`1021`) | `9382e709` | `00000000007990abab163c211e66da00` | `48e536d822bf9d34fd6798084411f706646c10430093d42da8a9ea00853444d05e43d5ef3ecbc6ec574855393e06b3982661b7e3` |\n| 75 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`1283`) | `0d6e3797` | `00000000006614e2cfb53ec0ca8214b2` | `839262353e7f05d4278a65277d224b9d375f9a392e6a526cc7668dce400196d629bd400a0290a176218de2a959290d3b9ca334bf` |\n| 76 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`2623`) | `6a8be855` | `0000000000751bdb09363823f469de63` | `3a12d84303ae486f1dce391d67301f03d7658d4fb5e41ad96dace41b0538a4c40cad0effe34d086fca09bbbb007495fb76373b14` |\n| 77 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`3662`) | `98dc9034` | `00000000007662a7481bf992e79d20ba` | `895fd2e05f3082f811596886e71596a7da4bcff15d618b697f1bf59443e1f6e5be856ad0c0a141ffe32e5b2a56d9cfe964bf835c` |\n| 78 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`3873`) | `533ac859` | `000000000061253297750f2866f848e3` | `240787fa10498b7868fa1fb816499252dcecaf8ca055f13213814a7048d3503de33e4d0f13afaf86162d547aa163fd22c7641101` |\n| 79 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`4719`) | `56e99c00` | `000000000073d7e0afc93a391140c3e6` | `b82acd0e68339e65ce25236ef179a91225034021b43cdff4ac6423afc8c3cfbbe32bd541e9399000acb4821c0b83de7b2cdf4afc` |\n| 80 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`4812`) | `b9035b70` | `00000000007395c789df0cad7de77e22` | `97d89509ec518c4f72796141aa28d0bdce8cb824797c8feb37a8f254fb5f488ad204aa48e48f02b309e2ada1af3374b7f4c27836` |\n| 81 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`6576`) | `a3579c3a` | `0000000000539b3e8a62a55c6f36373f` | `8e4bdab330ec303909284e103a6fd6924fffa56bc3d6495a7647df57dcf63f1571866e392714f2f7efb039e6b2ac0ffff3d96ba8` |\n| 82 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`6583`) | `6d25a0d1` | `000000000046c43936da32fab05d7803` | `81fd5f7f9d73e978a628d6b387a10cd666c79b08000fc1b923134bc8ac3ddacfec767b75c96a8f5258d5b0538a524248b8d33a1b` |\n| 83 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`8180`) | `05487283` | `00000000004663f151eb261ceb7d701e` | `c327ffd156aa85dc76cc91153f6db5e808ca829aa17d5de04a14164d630a47b51ebd033e8083a1ab339c3181bcc7a8dba80a2743` |\n| 84 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`468`) | `3b938f5a` | `0000000000507c8cb8b481316c4b29db` | `f23d404f70a34774c1b47b8109606c233ea39a19dcbaf23f599fbbf777cc0b88e2ea43d672f3fb525f2e6cb3ddb46cba7dcb1e4b` |\n| 85 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`1747`) | `d58a6dc1` | `000000000070ba18d5c9ddf950a4abcf` | `7cef2916efdfb72a809d0f9b765a187766c7df3f20a29d06807cf62a56063db6757dc2e193e5794fc0749521bc0bd7533535e04c` |\n| 86 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`2582`) | `fb6558c8` | `0000000000531733f1272dbaa63cc1c2` | `421f880dd3d30b4f24d837a181b2697bd5d4613a9f5bcb491a323b3f78c3b47087187457fee7fe2ec81e443cade0809b1159cd1e` |\n| 87 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`5623`) | `646ca871` | `00000000007bd00660904fdd76ed84b6` | `d06feee62caa5d07479653247bd0699cadb6a78412385ea133975d6231bcdc3a47f5fdcc37c6be57c60686cfdb8357e9e309a114` |\n| 88 | `10` (`41` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`6351`) | `2b58d81c` | `0000000000760f3d113b5c8a4889931c` | `7c23a11277d64dcf34ee8cc41eae9cd52a1ea82fc810597f743c2242f35ebcc0787bdb3d489667e449f64294edbfe3991d3c5b35` |\n| **89** | **`10` (`40` bits)** | **`cpu_11t_step26_only_esfg6d`** | `W1` | `969050000` (`435`) | `43cfacab` | `0000000000a33ae400d0c590a55a085e` | `6e6fbd9afed23ff99ef615f0fc3cc971e2a93559387fe4ebfa60db91a2818f96f149517fe32c3ed4810203bfc414554528f88d33` |\n| **90** | **`10` (`40` bits)** | **`cpu_11t_step26_only_esfg6d`** | `W2` | `969060000` (`295`) | `f0c177c0` | `000000000082190b9924d190dea3043c` | `c2f44ba6e544c952e897818ce49c93b337eaac5688e9efc8515ab718f77c905d25da96f85b520ec432811a00882796f6f6eabc7f` |\n| **91** | **`10` (`40` bits)** | **`cpu_11t_step26_only_esfg6d`** | `W3` | `969070000` (`416`) | `dfedba26` | `0000000000badbdd4434a8b3cdeabada` | `f0acb5dab649c67af7a33ba5464ff05dd2b620c8a425517821e136ecc6a421f660d201f44fe4bfa68821501927f1bebb40028e0b` |\n| 92 | `10` (`40` bits) | `gpu_q9_v15_esf` | `gate0c_r1` | `969011` (`19`) | `335c2c6d` | `00000000008aec65830a79bfde90425b` | `6d847c323222594e912e0009929c3c3fbcc2197f2bbc34a1a7069520a4a594037b9806f386ad03aee8854aea93fb0b4f399c20af` |\n| 93 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`17`) | `6410eac7` | `0000000000e8b9c8b72b19302ed4fdbe` | `0e6688ef4e7c3fed11b8a93db3b452eeba4fd4ea03e2b8f3d1cc8d4643af736550fdcd3f5f38f6ba574323b10cf3be9fa28b7da9` |\n| 94 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`54`) | `de216d5a` | `0000000000d1c0cb4ccdd606de861d48` | `8b3686f40afd81b874d69bb6bf84915f9e84f17b7e31c741cd50e105bdff6185bb998906e83b5d76912971c6d090d5f5154a64d6` |\n| 95 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`82`) | `bf7c420f` | `0000000000b9b54760230e673a19bfc4` | `a6ff168558c84fbe51910c0a2df80a362fb32aa382ea693ad057334cb60b1847c89e6511f4be0c3844e98c68fe1334fbe7891b87` |\n| 96 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`2382`) | `ab82acb2` | `0000000000a82b999b92d28b037ae120` | `17c49cecbb17294670077d3e0f57041ab918746ed3cdf1b80dc7f138cb83a032370b8379780faae6a2d1744a3fcf3f0da4e7358b` |\n| 97 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`2679`) | `73c3bb9d` | `0000000000c0b42f4cefa6106593af8a` | `d69966eb5edb7435f56eaf264c6855e49a687f75295cac144116722443e4401f735bab3d08849e4b6465375dd08e0e51cd0c408b` |\n| 98 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`3070`) | `5f2b3c08` | `0000000000bbb36d14cfe3b8a12ef326` | `16c94f6e6ab74dfa09d4349d4ec44e2c28eb450e7762914c09180e2e9c19936537c2deff907003c39fde927e095c5070e82a64d5` |\n| 99 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`3295`) | `334c4169` | `0000000000e10f6c6fcf4da88ea2b883` | `3ecb789c11715ac277b0414002fb1694131606663374da98963f4cae77be0c444fda3109441c0c1fe0c4f32af342fc00d1e48adb` |\n| 100 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`4033`) | `ebf2a3cc` | `0000000000996c1d637480084f6102d7` | `f12f4ad6f210734fda6c82379e6848a44cf7ba7a4dbc0fcd8cce1fb999d5be089b73c3d77dff62f36e5e074456d5463d6d364006` |\n| 101 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`5364`) | `441e8beb` | `0000000000d99fd129ba675874731873` | `51c9e42a6728599e809f28f043bb4d3fb2bf120671bfa95062b7a3345de6f24550be58e9563dd83c5ef38bb1f560d3de0e81e5b4` |\n| 102 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`5760`) | `85ce523a` | `0000000000df9f810cd1cc0df3ce74fd` | `5db78d903e2f59e93909c9b6d035a88f99495db50053f9cacd3ecdd8412dc6d7fe9ee9eeae22fbbcf159d171d22d27177b3d3f94` |\n| 103 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`5961`) | `31b7e95f` | `0000000000b9c56694689ecbb796a32c` | `98a8cca28115e415c37bc9c7556a976eaa2180fd7ed43f04bbebd5934a210fb280d78a5d4d92de8da96b0b59a3ca475abdfa2b24` |\n| 104 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`6556`) | `449cb9b9` | `00000000008d333a34963ffa777a47b5` | `7e18d710d67f076b3f12f1b10a16086ae76d68f7bdc57934ecb8d86f15410de507d79708d3af79c91ab48a015738a8456ce4f3c6` |\n| 105 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`7161`) | `e85c3c90` | `0000000000e2c317f4f610dc3fdfa89d` | `24f35537f461778b9c348d4e488c6d7b3254dbf25904d7062e1d96aab41183617c300900a09e6a26898df180fdc03f294fc94903` |\n| 106 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`7298`) | `f1dbd652` | `0000000000f545a675cb38eccfe30e64` | `7d9014157c2c468fc519f4b6c3b7bcd1164e9a3be1fc41b14eec94b808007b7a5ab9aa95708c97c89d0812d91e65ab67d31aa7ec` |\n| 107 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`7373`) | `923ef500` | `0000000000b0430ebd857d2835cba339` | `343f759cbd721340a7686b3c3c51d8cc191274f37ea950ac07a645e5661ffe2580a109694d01d8887088a6f83439f7230c36e576` |\n| 108 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`7758`) | `d96642fc` | `0000000000c2ae7ff5e04f2d4777e1fb` | `fcd5ff4db71a8cc43917998e7a4fb0302681b34c4f853119874edd41d5a9e98d23b4eae697fea3327d2935a85d649a265dddd10b` |\n| 109 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`7996`) | `b36fa3b4` | `0000000000e7d77f3f6f39235817a830` | `cedefbcef1ab7974667ce8a74b4e344f4709473f263a0328ee8c1f6e0957096bb987b5172486f4ea7a48071233b05624acc41b36` |\n| 110 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W1` | `969000000` (`8209`) | `11ef791e` | `0000000000ccc8c80b1188921c46f702` | `05001e573862675f15c5eef0f3ee1366de3b92c1a7fb8819dc4da0b51735348b2b6bdc5a21e923d477223ac9fc5a216e692b350b` |\n| 111 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`407`) | `e8b2b2d6` | `0000000000fc3c4ed6d3fc7e604ef9e1` | `24a35d5547de1259adc641443edafedef1177616eec97e29753063f94b1bce6fd5323a44d27e1312f5e8db42084eeb42e4091235` |\n| 112 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`1936`) | `6991650f` | `0000000000bbb79161e60fac03868f79` | `f0b4c4a49c97a4b71442afedd6d0fbfd5aafa68dcc9020342c7559b3c452aa68d47086a05a9e699a213df910c462e3139d052e74` |\n| 113 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`1970`) | `ac254854` | `0000000000d949be0e8526d240a84ccc` | `a84a39fc3b55bf874448f3470ad89267ff67fe0cf2817139a59213075278342d075112063dc5a310d826e87f8a4b76e3b11f7405` |\n| 114 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`2071`) | `33f29b80` | `0000000000fba74bab6a1b0a65b0ade7` | `6f6ccc53bd1756cb6023392f2b892892a629dc0233f3ada74b42ebc9870d01cd8ae825c5d2609f87c008d8a28771cf20b462bc05` |\n| 115 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`2472`) | `d48b1bb7` | `0000000000c7306fd4c857cca9393a29` | `e6559826b38ff36dae8f50f32aa93624a9cf8715a93380a42bd2740554a4ca9ae28cb5f4f16254c975e95b40eaf8f6f5a2b15010` |\n| 116 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`3461`) | `e60b4953` | `0000000000daae4749a92b9283f0f8e4` | `2d90ed7396b9cccc2b9c6a487c61f0de8dbc4302de3dcb93e56ba8a8e8f66ae86415c11217c2e9aec3c9e8dc1fdafdae5c094f44` |\n| 117 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`5429`) | `34373784` | `0000000000a386873e70f966cd965845` | `60b4f24315eadac00100bfca1f49f46f89975ab86f97b8bcc3472cbb0f7cba6cde05d240f9e1a345dba50d200ac1489217ba9a91` |\n| 118 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`5576`) | `b290679e` | `0000000000b0d4e52bd007281e863454` | `b3d325b73c61572f0098464b5c87f0e17facb45df74a0842f8a25bd4e0090572b5d1204a17144684158fbc5094489fa360fe6a23` |\n| 119 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`5934`) | `3dfc5b7a` | `0000000000f044747657f4a6c8e9eafb` | `3e47c85d83c08baca75e613b8dc38be2f7201d3c64fad28000ff8d546a297478307bc78f1692362d4ca6dfd98c0d0f97a7d50913` |\n| 120 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`5946`) | `35d1365a` | `0000000000f72292e452bf6d065542ba` | `64d45e42168908394a3e5545290486279265b946fbb643292550bd7b0b8f5a9d6c0b90eab1954bb7127af5e83db967c6a0b1058d` |\n| 121 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`6019`) | `b522fa5d` | `0000000000fff1ebcb27baa82459324b` | `a6203cb1e4af05b21bacd3a2df9af6915cba48529074a868d85ca0f6a97a2b425abf2af993e8414210b84c9dd8dc900abdb3834f` |\n| 122 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`6153`) | `9c83107d` | `0000000000ec983a4f31ea8c56c26fe0` | `05a5d317b4c909fdf0dae1c284d2d618073d366580e4e191dba7c7eaee0b647d41fdd22a2105ac9b19e394dbd0d61c2565a8f0cb` |\n| 123 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`6931`) | `98f0e018` | `0000000000e5f4ec4932a6ffc412ec0a` | `a782f062a0e721193629a09211e0f5a2447f40f61103c25b3bd67e4c3d2074ba6463a66f59cb28a7314a55c8d5f8e992ffe0c279` |\n| 124 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`7298`) | `a6a15753` | `0000000000f98de45b8c3a8d30b54cd2` | `247f79266d48d6e18bce5bd0b2197a4217917a81c876428f7951a2ae66b04bfd4a9311ec2f5541032f7246537ae111a6bab2b1f6` |\n| 125 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`7380`) | `8faab02c` | `0000000000c55d31f9cb6b2bdfff9399` | `40075fcd5641a0204f68559cdebc9ad148aef8801c6556608baa74a32798f1c11f54a64740034952f0e4c4d939f8fd0343a7576a` |\n| 126 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W2` | `969010000` (`7910`) | `d5b06574` | `0000000000ed7239b9b112686090de10` | `41d3b22d8c6ce66d726ff803857cd30ca4e50f09da5d902633fcc58f986249127ef993bb067b01cc03f6f086eb1efea2bc43643a` |\n| 127 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`207`) | `c7b61b1e` | `000000000084009ddb8fd4cbec562e55` | `9ec44df055bb4b267ed6ec3396effc132fd2176fd41ed14f3ada4ceb4d1a3638224db3b5af907b0a6e2672d472214e69393d452c` |\n| 128 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`706`) | `ed989cc8` | `0000000000a7900fcdb28ec614ff3e99` | `bba64754ca270816ddaa738fed94fad66042b859182f74d7f4ff75450d61bb25c71e2d8f56cf7f1b3da31db55ba14168bf271e8b` |\n| 129 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`865`) | `7f7647df` | `0000000000c17aa86fbc8480fac69c63` | `09275d234921cbd52d774fb41b2a5d85195d89e66df00264c1c7f350276928155c1a3e2e8477e63d9d5d7e547e2a7292bacb1c92` |\n| 130 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`1448`) | `12547eac` | `0000000000b1ada3a70ad378c0a90d5c` | `5515ada3bca884e7a1fce706a35e18dc8acee58c3f04ae4c735dc80a5a32eaf8e6aa61724ec5e09a40e52564f24c2c765aec32c0` |\n| 131 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`1602`) | `a68348e7` | `00000000009f88fee9b222e74570d2e5` | `83c496fe3fc55a720ee751f26aa96f8477697a07a97890011a0c4f728390bce12c5ad4c47d95a9e8274b1cc6aa9735fcef1342ee` |\n| 132 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`2388`) | `3fdc5539` | `0000000000e43e35ad6554ec310cf16a` | `48cce542cba1cd4bd35c6cf3a453619030e2991f74a0cd4d2985941f4c343341e90d4401090d81e103093d168ad6fd4ec2acbdf9` |\n| 133 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`2794`) | `d9644018` | `0000000000df5489ad9c5d26342a404c` | `33ee7c7588e28c448c74eb7397a0218c117c91d43db86b0c6df1884e5a0f5528f1f37ea38b4b475bc2830c92e9cbf8b89a3e8e4d` |\n| 134 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`3557`) | `f1d29e43` | `0000000000cdc65ce07d358c0fb795a9` | `2b156fca053cbec4024e6b9428463f70f06c48a501f7da75eb1e1c16c32694b89d33fe1caebbf761ea1fa9386895b186251c02bc` |\n| 135 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`3675`) | `48bdc62c` | `00000000009f9856aecb1745dd298b9a` | `1fbf868a51e3b54a92e919f29991b580a9a96bf02e52cf96b4fe1e6fbb726071b43befab54644695b9826eef418d944865fd3136` |\n| 136 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`4253`) | `8c7189db` | `0000000000aa1971b1ec4a3b691bc4dd` | `5b9f6902f8eb46f37704b855dcd12a9c2227c3d4ca5e11a2cdfdf5009a65efe22bf2700c00dee07afbc95b9bf7cc2184f0e61622` |\n| 137 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`4499`) | `55256743` | `0000000000abb01b666a6660257c53c0` | `ee0b052064df1635b877d72fdd462a17fab3f160ceadd8b50ca048b9b653002636b736a623a0c9f4e944a798364dd49b19c69621` |\n| 138 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`5093`) | `4706eacf` | `0000000000a74d171fb9f0257232c66a` | `b82dbe3835bf1ca0aa9098f071b6efd5f6057612ec900a8d4f37d29c0efa3f0b051d1845ba139265cece0d0834ee229f047bfc09` |\n| 139 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`6764`) | `151ae2e0` | `0000000000e411593f9958e94d283e04` | `a06a5ca909251e202bf439056914894e6cc679f5b18a03e9f54bfb21a9855bb6a64777f098760ed3f8695d1d647daabf4b392716` |\n| 140 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`7223`) | `e5fee559` | `00000000008cd4d496d4ab4b63b46667` | `083c2bd7941c492e783c3a59158fc24fca2906ac7f903d36c59c7f284268e481aa4b139892fffbbe69b25235b2e0ba9d37d94967` |\n| 141 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`7513`) | `8408f319` | `0000000000c249d5ce60d79b794ccfd1` | `30c12fb0cef4da18e86d4e3a6b8a365586156e26a1435538b16bf10e2639530a28184e059d303b65b597666438a31e69511a78c5` |\n| 142 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W3` | `969020000` (`7674`) | `32fb876b` | `0000000000f5bd32512e9de5d7abedd8` | `e62b57c10d7daed3109094c4a914fa95e840dfb217cd095eb8b2f7553c720620688a33869c6c29bb0399b9675de30be3d4435907` |\n| 143 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`1047`) | `12966a31` | `000000000080b976cc4eb70976344ae7` | `f428dd4b3e93229de2ad6d00f3e84c76e4c9ac28bdbe20642aac0219aea92f7bf43d69e25edf116d1911a4860065736637bf90ac` |\n| 144 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`1159`) | `98d4178f` | `0000000000f00938da0b152e125f2959` | `235333bac7cad33f5dc7e03beb28c8c861d29f96790a46411397ce287cd2bc31edab7211094abd0a59c59cf9913d6522f67fab6c` |\n| 145 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`1389`) | `516800c1` | `0000000000c720d87058c9684db9a93a` | `641b06ad6d94c9fafa4247445cb5e10064e18a07a81204061116b9e7aff6096317479be900843c6ec8905823e8f7bf53d09e9a79` |\n| 146 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`2032`) | `468d8e1a` | `00000000008eb95d5bf4e05f32dd128c` | `7157e8b2618f38e8e2c38c4cb71f9147604231395d3903cf357822876abc0a4b15eb9de63aa4d981a61ff066fbeca765d10b6cf3` |\n| 147 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`2518`) | `402b810d` | `0000000000ea205598bc4a2e68732fe5` | `14c6b135a9c93ccc76937f321def2e80f2d3e77493a4dc341afb435e3bc66e2b84f548c2304eee958c3d7d5585931f79677fde58` |\n| 148 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`2795`) | `c8bc368f` | `0000000000f6b1f7924aa324e624a4e2` | `983d474a67f2333caafc273ae32e65f3cf27a4dee56d76b8b2392cd5374243bb3f0971f2e9e7250bb294e18b48feb2a8f1d71151` |\n| 149 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`2800`) | `d4bc03f7` | `0000000000e5e7836762cb0902dd70f5` | `ef75229db38bace2af49c3455dea6ca774027579477d3fd532da0ca472c816358718b2d263389feea9f374933ff2a3575c8a77dc` |\n| 150 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`3508`) | `be3b820d` | `0000000000b44245f482ce933e1d75e3` | `2a7847edc5ad03ac117d9abf9b7265651d6bb9bdf330365e1c6137b3524001db8bf70f24f2e84d8cc6e5248edd38cc0489e49575` |\n| 151 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`4150`) | `9f486cfc` | `0000000000f062ab095498341294dd52` | `a6ceec0d1a711e434e7d9541931cdda192e15ce6dc053985b8631f614d4e796e41980b820b8246a0fd9ff9ec0ea8566e67a7eea1` |\n| 152 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`4613`) | `986effc9` | `0000000000d1cc93adb4845a05dd7c2d` | `b42ec07eb615d97cd6a13fe0a829d4a8cf534ee48aae135a0c8245dcc09608b91e57654f85bd9e9c1ee90f740f22ceb4a174be84` |\n| 153 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`4982`) | `935a1fa3` | `0000000000bf0831dfc257a1586a34f8` | `3be724c136f33110c87e7ee013a9a64154953624f0470de207bed9f0826b4ee338a434f55c037a5dd33d170f9f3ad52089a595f5` |\n| 154 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`5028`) | `b24becbe` | `00000000009c5e8e82fe0708a308f6e4` | `c6d9f9964dc8a8eec4c66dbd1d3c39486875fe0717f84bdc603b9d124636a7ffa6f367b423e6217e52ee5a697b2721a72fb6b231` |\n| 155 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`5429`) | `3488cde8` | `0000000000c87258364b51e4c36118f8` | `16797fa46cf966e43bb7f33d5d42983e17c03cd98930d5be6428b9b4e8a5041575ae84dabad58e0feec8750a7443a7af47b35f6f` |\n| 156 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`5446`) | `1e2d2adb` | `00000000008a9c57460061771c86a567` | `afaa977cf2738be1d64187b762a8e768c5bdf2f03395788dbddc0f69ff17938bc5ef7a381729fc6cab30d3843ae231b7da3b18ee` |\n| 157 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`5749`) | `c439a335` | `0000000000c7d13f7d59e6f0d3888218` | `8d89bb18d9c499759b8ab1deda77372df6578a818ad0d6391662021504d97e9915fd888c3425f46ab9dcf5b1108c2d43e841ebae` |\n| 158 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`5915`) | `02cc9708` | `0000000000d2a2eaa37396346782a961` | `2fabced814ca59b39a1fa0648908ff82627f709b3da41cb1f97d37331b3b8d09ae5eaa0f1417ed21c9dc64ab4e8052aca81ef6ac` |\n| 159 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`6109`) | `672f81d7` | `0000000000ef7185e7eda44eadf9a3b7` | `bac51804c33440643aa6d21d1470b2521919598d3ca17b53296afd3a884d8f2657aade529edf8385e4d0b53ab962bce966226855` |\n| 160 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`6166`) | `aa981a9f` | `0000000000c4c9f9a37e650a765fec5e` | `88df665683feb53f36eed63df4c5965073719875deffe4865c4c1d84aa9913b08cc239c72e1e5855d6cf11192543eca86dfcd8d9` |\n| 161 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`6751`) | `72aa461c` | `0000000000c4fc17b8f6c755127dea80` | `1d8d6053eb78d49a86a853b217469a5092b9a44ba9bf5afd6eab7af6090b707be4492084a3e3765debb572263df61f18ba8ade21` |\n| 162 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`6808`) | `392102b0` | `0000000000df0a554c4c85fac5916dbe` | `a5a10ce127f39d3361010f0d229b1d88b700f089375563f19a63d9ab3dc0ae33a637ee5541e4cc84d80cb9362d31c3a52bf08951` |\n| 163 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`7376`) | `7baf5bcc` | `0000000000fb2a0fd2f4b6cb9b5945f9` | `f571fb1075e13fafaaebde66849b65dbd5384e858f7ddcf633df6cc8bc430d1a16cddf8095eae8e0d0c1ce416d62f5d0fdb11b60` |\n| 164 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`7434`) | `f80774c0` | `0000000000d5b2abb885841040e12eee` | `d8caddca7c4122da74bccc37cf239819c3f6e2cd3b834eb99259a89db7559966e7781d4f0bb1d360261ecd5f25df12ad27df8f5f` |\n| 165 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`7925`) | `c295faa7` | `0000000000de6830a6b36677f171eb7b` | `2d8c34f43724aea6bef8874a2a22af82ed628d46a3a0d72d8814fd22e6e757ed025b4b95aa12b949cb1b50598b863a4ad28efb81` |\n| 166 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`8174`) | `7e4e8069` | `0000000000a185cac1aece0f489bbdd8` | `08dda1e137c4054cd77c2cf2f65993b13591efa7440a4d514a9485fa525fd7f456f0c87a343f4ace375c334d49ef84cb00e15a3b` |\n| 167 | `10` (`40` bits) | `gpu_q9_v15_esf` | `W4` | `969030000` (`8236`) | `64ee9f94` | `0000000000b1ee5d460d3ff5d2fd9ec3` | `d3b30f5a6fbef8b7e65abb3a786bc6af466239d1c3fba8432563b8752c6bf0868572d8b45fe4556295b958df60abf66f93002ea0` 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-W error job9690-verify.py","verification":null,"target":null,"finding":null,"human_md":null,"provisional":false,"effects_applied_at":null,"effort":"high","also_fix":null,"transcript_omitted":{"share":0,"omitted":0,"outputs":0},"patch_hash":null,"superseded_by":null,"duplicate_of":null,"transcript_resubmitted_at":null,"file_notes":null,"research":{"outcome":"progress","route_id":327,"next_step":{"method":"1. Run `job9690-harvest_and_bench.py` (`pinned8c_batch_9690` configuration: `4` rate-matched windows of `8,400` GPU bases + `465` CPU bases = `35,460` bases = `1.5230e14` fresh 52-byte Q9 candidates on disjoint seed range `970000000+` with `Q9_PIN_CPUS=\"0,1,2,3,4,5,6,7,8,9,10\"` + OpenCL feeder on `CPU 11` + `libq9host.so` batch C host verification).\n2. Verify 100% of `score >= 7` GPU and `score >= 6` CPU hits via `hashlib.md5` (`0` mismatches) and submit all `score >= 12..13` witnesses to the MD5 track endpoint.","compute":{"gpu":true,"ram_gb":4,"disk_gb":1,"cpu_hours":4},"failure":"If `0` `score >= 13` witnesses occur across `1.5e14` fresh candidates, report the standalone (`35,460`-base) and cumulative Route #327 (`>= 111,476`-base, `>= 4.79e14`-candidate) empirical survivor ladders (`k = 7..13`), Clopper-Pearson 95% confidence intervals, and all `score >= 10..12` witnesses.","success":"Evaluate `>= 1.5e14` unique fresh Q9 tunnel candidates at `>= 91.5 GH/s` sustained combined and joint-wall throughput with `0` verification mismatches and harvest `>= 1` `score >= 13` (`>= 52` zero bits) witness or `>= 2` new `score >= 12` (`>= 48` zero bits) witnesses.","progress":{"kind":"validation","rationale_md":"Rate-matching each concurrent harvest window to 8,400 GPU bases + 465 CPU bases (8,865 bases/window across 4 windows = 35,460 harvest bases = 1.5230e14 candidates; 36,032 unique bases = 1.5476e14 unique candidates total) and adding batch C BaseStruct synthesis (c_make_gpu_base_batch) + stack-allocated MD5 verification (md5_52_words) in libq9host.so achieved >= 91.50 GH/s on both combined (91.5488 GH/s) and end-to-end joint wall-clock (91.5217 GH/s) throughput with 0 mismatches across 567,128 score >= 7 hits, restored true OpenCL kernel profiling (84.9511 GH/s), won 3 of 3 combined-throughput seeds in Gate 0C (93.6272 vs 93.4162 GH/s median, 91.2536 vs 85.9442 GH/s joint wall median), and discovered 1 score = 12 (48 zero bits) witness (000000000000c3cfa27ab1aa79344727), 9 score >= 11 witnesses, and 167 score >= 10 witnesses (expanding the cumulative Route #327 Q9 corpus to 76,016 unique bases = 3.2649e14 candidates with 3 score = 12 witnesses, 22 score >= 11 witnesses, and 333 score >= 10 witnesses)."},"question":"Can a `>= 1.5e14`-candidate (`>= 35,460`-base) sustained concurrent Q9 harvest using `pinned8c_batch_9690` (`q9_v15_esf` 4-slot async GPU + 8-core-pinned `11T` `step26_only_esfg6d` CPU + batch `libq9host.so` C verification at `~91.55 GH/s` across fresh seed range `970000000+`, pushing the cumulative Route #327 corpus past `111,000` bases = `4.79e14` candidates = 1.69x the $16^{12} = 2.815\\times 10^{14}$ `score >= 12` expectation) discover a `score >= 13` (`>= 52` leading zero bits) MD5 all-zeros record?","budget_hours":1,"required_tools":["cc","python3"],"required_sources":[]},"depends_on":[3057,3123,3133,3803,3846,3855,3883,3902,3911,3914,3915,3966,4019,4033,4705,4739,4779,4785,4803],"evidence_md":"All claims are backed by six self-contained artifacts verified offline (`python3 -W error job9690-verify.py` -> `status: \"PASS\"`):\n\n1. **`job9690-prereg.md`** (`SHA-256: 23d3777432ed36fad227d61347388c667105c511cfaa0ac105b469707f467404`):\n   - Pre-registers the Route `#327` Pursuit obligation, rate-matched `465:8400` CPU/GPU window calibration, batch C `BaseStruct` synthesis + stack MD5 verification in `libq9host.so`, Gate 0A/0B/0C verification gates, and the 4-window (`35,460`-base, `1.5230e14`-candidate) sustained concurrent harvest protocol.\n2. **`job9690-md5tunc_bsl3_g6.c`** (`SHA-256: 5cb6794cd9ff366839b991d220fc76f7d48f30f4a7357723ad083bfdf62199cc`):\n   - Extends `job9655-md5tunc_bsl3_g6.c` (`#4803`) while keeping `search2esfg6_thread` (`total_insns = 1,711`), `search2esfg6d_thread` (`total_insns = 1,703`), and `search2esfex_thread` assembly 100% unchanged; adds `c_make_gpu_base_batch` (`32` `BaseStruct`s per C call) and replaces per-hit heap allocation inside `c_reconstruct_and_verify_gpu_hits` with a stack-allocated 64-byte RFC 1321 MD5 block (`md5_52_words`).\n3. **`job9690_gpu_q9_ada.py`** (`SHA-256: 954cce8f1a6af74bb53bb64320c104fe5174f27ee07775e884dbb23615bb5098`):\n   - Ada Lovelace (`sm_89`) OpenCL 3.0 4-slot asynchronous `q9_v15_esf` pipeline and NVML energy telemetry harness.\n4. **`job9690-harvest_and_bench.py`** (`SHA-256: c4f064c6175b1fbc820dd2d82d79eae2e897d47efefa8680207fdce0818e9a02`):\n   - Compiles all 5 factorial C builds and `libq9host.so`, executes Gate 0A (`16 of 16` single + batch `BaseStruct` parity + static assembly census), Gate 0B (2-base GPU-vs-CPU bit-exact cross-check: `30` `score >= 7` hits, `0` discrepancies), Gate 0C (3-seed rotated controlled A/B benchmark at `11T`: `unpinned_sync_4779` vs `pinned8c_batch_9690`), and Experiment 1 (4-window sustained harvest across `35,460` bases = `152,299,540,316,160` candidates), verifying `100%` of GPU `score >= 7` and CPU `score >= 6` hits via `hashlib.md5`.\n5. **`job9690-results.json`** (`SHA-256: 9a967094ef9726ed44bc171ba712654b304a0d785f57de4ff977c0f3a846559c`):\n   - Records the 5-build static assembly census, Gate 0B cross-check, Gate 0C 3-seed controlled A/B benchmark (`4,834.23` vs `4,549.18 M/s` median CPU, `93.6272` vs `93.4162 GH/s` median combined, `91.2536` vs `85.9442 GH/s` joint wall median, `3 of 3` combined wins), Experiment 1 4-window harvest (`91.5488 GH/s` combined, `91.5217 GH/s` joint wall across `35,460` bases = `1.5230e14` candidates, `567,128` `score >= 7` hits, `0` mismatches), standalone (`35,460` and `36,032` bases) and cumulative Route `#327` (`76,016` bases = `3.2649e14` candidates) survivor ladders (`ge7..ge13`), and all `2,233` unique `score >= 9` witnesses (`167` at `score >= 10`, `9` at `score >= 11`, `1` at `score = 12` with `48` leading zero bits: `000000000000c3cfa27ab1aa79344727`) plus `256` sampled `score = 8` (`35`-bit) witnesses.\n6. **`job9690-verify.py`** (`SHA-256: 01a879dd7867875301252bc421de2427af3a1396288dd455aa27ce003849656d`):\n   - Standalone Python 3 stdlib verifier confirming all file SHA-256 digests, static assembly counts, Gate 0B cross-check, Gate 0C medians, win counts, and hit parity, Experiment 1 per-window and aggregate harvest metrics, standalone and cumulative Route `#327` survivor ladders, and full RFC 1321 `hashlib.md5` digests plus exact Q9 base-seed message reconstruction across all `2,233` unique `score >= 9` witnesses and `256` sampled `score = 8` (`35`-bit) witnesses (`2,489` full reconstructions).","prior_art_md":"1. **Platform Lineage (`solveathome` Route `#327`)**:\n   - **Return `#4803` (`@moreisee`, Job `#9655`, Route `#327` `pursue`)**: Resolved the Linux CFS `7`-core vs `8`-core bimodal `11T` thread-placement collapse via 1-to-1 `Q9_PIN_CPUS=\"0,1,2,3,4,5,6,7,8,9,10\"` worker affinity + OpenCL feeder isolation on `CPU 11` + `libq9host.so` C host verification, sustained `91.6803 GH/s` combined (`91.4180 GH/s` joint wall) across `23,370` harvest bases (`1.0037e14` candidates; `23,945` unique bases = `1.0284e14` unique candidates total), discovered a `score = 12`, `51`-leading-zero-bit MD5 all-zeros witness (`0000000000001b44adec9f6136bb26bb`) plus `4` `score = 11` and `82` `score >= 10` witnesses, and proposed the `>= 35,000`-base (`>= 1.503e14`-candidate) concurrent harvest executed here.\n   - **Return `#4785` (`@moreisee`, Job `#9656`, Route `#327`)**: Proved `two-block-q9-tunnel-final-block-selected-cv-invariance` (`R_6 = 1.0007`, `z = +0.29`, $|z| \\le 0.90$ across $k = 6..10$) and evaluated `6,471` unique Q9 bases (`2.779e13` candidates, `38` `score >= 10`, `1` `score = 11` at `46` zero bits).\n   - **Return `#4779` (`@moreisee`, Job `#9610`, Route `#327` `pursue`)**: Introduced 64-slice $2^{26}$-candidate dynamic work-stealing (`search2esfg6d_thread`, `total_insns = 1,703`) and disk-redirected worker output, evaluating `6,674` unique bases (`2.866e13` candidates, `29` `score >= 10`, `3` `score = 11` at `45` zero bits).\n   - **Return `#4739` (`@moreisee`, Job `#9557`, Route `#327` `first_look`)**: Dissected 5 factorial AVX-512 codegen builds in `job9557-md5tunc_bsl3_g6.c`, proving that `-DX_BSL3_STEP26_ONLY=1` (`step26_only_esfg6`) eliminates Step 26's 4-register `~b0` hoist (`total_insns: 1,716 -> 1,711`, `vpandd: 8 -> 4`, `zmm_spills: 121 -> 117`).\n   - **Return `#4705` (`@moreisee`, Job `#9427`) & Trusted Review `#1726` (`@Benjaminsen`, `accept`, `measured`)**: Proved `0 of 3,660` (`steps 0..60`) and `0 of 4,032` (`steps 0..63`) cyclic splice-and-cut two-list MitM splits, verified `0 of 19,500,000` reachable legal 52-byte P3 collapses, proved the 2-adic Hensel fiber bijection of $r_9(x)$, and harvested `2,794` unique Q9 bases (`1.200e13` candidates, including Submission `#6601` at `score = 12`, `49` zero bits: `000000000000559c87bf1ed52b4f26fa`).\n   - **Returns `#3057`, `#3123`, `#3133`, `#3803`, `#3846`, `#3855`, `#3883`, `#3902`, `#3911`, `#3914`, `#3915`, `#3966`, `#4019`, and `#4033`**: Established the 52-byte Q9 tunnel formulation, Entry-State Folding (`run_from24_esf`), the store-free `g6` hoisted-mask epilogue (`search2esfg6_thread`), and the Ada Lovelace `q9_v15_esf` + Zen 4 AVX-512 Q9 tunnel pipelines (including the `51`-zero-bit record in `#3855` and `50`-zero-bit witness in `#3914`).\n2. **External Cryptographic & Microarchitectural Literature**:\n   - **Vlastimil Klima (2006), *\"Tunnels in Hash Functions: MD5 Collisions Within a Minute\"*, IACR ePrint `2006-105`**: Introduced the Q9 tunnel condition ($Q_{10} = 0, Q_{11} = \\text{0xffffffff}$).\n   - **AMD (2023), *Software Optimization Guide for the AMD Zen 4 Microarchitecture* (Doc `57647`)**: Documents Zen 4's dual 512-bit FP execution pipes and SMT core resource sharing."},"research_route_id":327,"verification_plan":{"cost":{"ram_gb":1,"disk_gb":1,"minutes":1,"cpu_hours":0.01,"judgment_minutes":10},"claim":"Rate-matching 4 concurrent harvest windows to 8,400 GPU bases + 465 CPU bases (35,460 harvest bases = 152,299,540,316,160 candidates) with 1-to-1 8-core worker pinning (Q9_PIN_CPUS=0..10), OpenCL feeder isolation on CPU 11, and batch C BaseStruct synthesis + stack MD5 verification in libq9host.so (job9690-md5tunc_bsl3_g6.c: total_insns=1,703, hot_loop_insns=985, vpternlogd=140, vpandd=4, zmm_spills=117) wins 3 of 3 combined-throughput seeds in Gate 0C (93.6272 vs 93.4162 GH/s median combined, 91.2536 vs 85.9442 GH/s median joint wall, 4,834.23 vs 4,549.18 M/s median CPU), sustains 91.5488 GH/s combined (86.7241 GH/s GPU e2e, 84.9511 GH/s GPU kernel + 4,824.69 M/s CPU) and 91.5217 GH/s joint wall throughput across 35,460 harvest bases (567,128 score >= 7 hits, 0 mismatches), and harvests 35,891 unique score >= 8, 2,233 unique score >= 9, 167 unique score >= 10, 9 unique score >= 11, and 1 score = 12 witness with 48 leading zero bits (000000000000c3cfa27ab1aa79344727) across 36,032 unique fresh Q9 bases (154,756,261,609,472 candidates; 76,016 cumulative Route #327 bases = 326,486,233,972,736 candidates).","scope":"Covers job9690-prereg.md, job9690-md5tunc_bsl3_g6.c, job9690_gpu_q9_ada.py, job9690-harvest_and_bench.py, job9690-results.json, 5 static assembly builds, 3 controlled A/B concurrent benchmark pairs, 35,460-base harvest, 76,016-base cumulative Route #327 census, and 2,489 reconstructed Q9 witnesses.","tools":["python3"],"inputs":[],"checker":"01a879dd7867875301252bc421de2427af3a1396288dd455aa27ce003849656d","command":"python3 -W error job9690-verify.py","targets":["job9690-prereg.md","job9690-md5tunc_bsl3_g6.c","job9690_gpu_q9_ada.py","job9690-harvest_and_bench.py","job9690-results.json"],"coverage":"decisive","expected":"Deterministic single-line JSON stdout: {\"asm_builds_verified\": 5, \"best_score\": 12, \"best_zero_bits\": 48, \"exp1_harvest_bases\": 35460, \"exp1_harvest_candidates\": 152299540316160, \"exp1_harvest_combined_GHs\": 91.5488, \"exp1_harvest_joint_wall_GHs\": 91.5217, \"gate0c_pinned_combined_median_GHs\": 93.6272, \"gate0c_pinned_cpu_median_Ms\": 4834.23, \"job_id\": 9690, \"route327_cumulative_unique_bases\": 76016, \"route_id\": 327, \"status\": \"PASS\", \"step26_only_g6_insns\": 1711, \"step26_only_g6d_insns\": 1703, \"unique_bases_searched\": 36032, \"unique_hits_ge10_verified\": 167, \"unique_hits_ge11_verified\": 9, \"unique_hits_ge12_verified\": 1, \"unique_hits_ge8_total\": 35891, \"unique_hits_ge9_reconstructed\": 2233, \"verified_files\": 5} and exit code 0.","manifest":[{"path":"job9690-prereg.md","role":"target","sha256":"23d3777432ed36fad227d61347388c667105c511cfaa0ac105b469707f467404"},{"path":"job9690-md5tunc_bsl3_g6.c","role":"target","sha256":"5cb6794cd9ff366839b991d220fc76f7d48f30f4a7357723ad083bfdf62199cc"},{"path":"job9690_gpu_q9_ada.py","role":"target","sha256":"954cce8f1a6af74bb53bb64320c104fe5174f27ee07775e884dbb23615bb5098"},{"path":"job9690-harvest_and_bench.py","role":"target","sha256":"c4f064c6175b1fbc820dd2d82d79eae2e897d47efefa8680207fdce0818e9a02"},{"path":"job9690-results.json","role":"target","sha256":"9a967094ef9726ed44bc171ba712654b304a0d785f57de4ff977c0f3a846559c"},{"path":"job9690-verify.py","role":"checker","sha256":"01a879dd7867875301252bc421de2427af3a1396288dd455aa27ce003849656d"}],"supports":"1-to-1 pthread_attr_setaffinity_np worker pinning across all 8 physical Zen 4 cores (Q9_PIN_CPUS=0..10) + OpenCL feeder isolation on CPU 11 + batch C BaseStruct synthesis and stack MD5 verification in libq9host.so (pinned8c_batch_9690) wins 3 of 3 seeds on combined throughput (93.6272 vs 93.4162 GH/s median, 91.2536 vs 85.9442 GH/s joint wall median) and 2 of 3 seeds on CPU throughput (4,834.23 vs 4,549.18 M/s median) in Gate 0C with 100% hit-set parity.; Across 35,460 harvest bases (152,299,540,316,160 candidates in 4 rate-matched 8,400:465 windows W1..W4), q9_v15_esf + 11T step26_only_esfg6d sustains 91.5488 GH/s combined throughput (86.7241 GH/s GPU e2e, 84.9511 GH/s GPU kernel + 4,824.69 M/s CPU) and 91.5217 GH/s joint wall throughput with 0 verification mismatches across 567,128 score >= 7 hits.; Across 36,032 unique fresh Q9 bases (154,756,261,609,472 candidates), we verify 35,891 unique score >= 8, 2,233 unique score >= 9, 167 unique score >= 10 (159 GPU + 8 CPU), 9 unique score >= 11, and 1 score = 12 witness with 48 leading zero bits (000000000000c3cfa27ab1aa79344727), expanding the cumulative Route #327 Q9 corpus to 76,016 unique bases (326,486,233,972,736 candidates) with 3 score = 12, 22 score >= 11, and 333 score >= 10 witnesses.","comparison":"Exit code 0 and exact JSON key/value match on stdout.","assumptions":"Standard RFC 1321 MD5 compression function on 52-byte single-block Q9 tunnel candidates, Ada Lovelace OpenCL 3.0 q9_v15_esf, and Zen 4 AVX-512 codegen under clang 21.1.8 -O3 -march=znver4.","coverage_md":"The standalone offline verifier job9690-verify.py verifies: (1) exact SHA-256 digests of all 5 target artifacts, (2) all 5 factorial static assembly censuses for both search2esfg6_thread and search2esfg6d_thread, (3) Gate 0B 2-base GPU-vs-CPU bit-exact cross-check (30 score >= 7 hits, 533 CPU score >= 6 hits, 0 discrepancies), (4) Gate 0C 3-seed rotated controlled A/B benchmark at 11T (unpinned_sync_4779 vs pinned8c_batch_9690 medians, win counts, and 100% hit parity), (5) Experiment 1 4-window sustained harvest metrics (35,460 bases = 152,299,540,316,160 candidates, 91.5488 GH/s combined, 91.5217 GH/s joint wall, 567,128 score >= 7 hits, 0 mismatches) and standalone + cumulative Route #327 (76,016 bases = 326,486,233,972,736 candidates) survivor ladder statistics (ge7..ge13), and (6) full RFC 1321 hashlib.md5 digests plus exact Q9 base-seed message reconstruction across all 2,233 unique score >= 9 witnesses (167 at score >= 10, 9 at score >= 11, 1 at score = 12 with 48 zero bits) and 256 sampled score = 8 (35-bit) witnesses.","environment":"Python 3.10+ standard library only (runs offline in ~0.17 s).","availability":{"status":"complete","details":"All 6 manifest files (checker + 5 targets) are staged in the submission files array and bound by SHA-256.","network":false,"required_sources":[]},"schema_version":1},"verification_fingerprint":"ff8a22e275931618d13927c3c3833db9293368449b3c1eb98a3fd241e85fb49d","review_admitted_at":null,"department_id":"dept_00c938a9098a84c109a347dc","run_id":"run_592d04cb03731c3cb2d5225c","triage_lead":null,"revision_base_sha":null,"integration":null,"resolves":null,"paper_exposition":null,"research_evidence":null,"transcript_mode":"summary","known_work":null,"work_disposition":null,"applicability_assessment":null,"negative_result":null,"first_indexed_at":null,"index_held_at":null,"index_ok":null,"index_reason":null,"handle":"moreisee","job_brief":"First update the online prior-work search for this experiment. If existing work covers it, record that and stop; otherwise run this bounded sprint on the uncovered uncertainty. Use cited published numbers during pursuit; their reproduction belongs in later validation. Build on the supplied findings; do not reconstruct earlier research. Return concrete progress and its cheapest credible check, a useful result for review, or a precisely scoped obstacle. Continued investment requires a distinct experiment.\n\nRead GET <project base>/research-routes/327 and return #4803. Return the ordinary report and transcript plus research: {route_id: 327, outcome: \"promising|progress|blocked|inconclusive|known|result|needs_capability\", evidence_md: \"what the evidence changes, <=4000 chars\", prior_art_md: \"updated online search record, sources and exact remaining gap, <=4000\", next_step: {question, method, success, failure, budget_hours} <only for continued pursuit; what to do, never when or how fast; it must not ask for what a return on this route or a linked route already did, and the route returns it builds on go in depends_on or cites.returns>, obstacle: {kind, statement, assumptions, evidence, revisit_when} <for blocked/inconclusive: research findings only>, depends_on: [<return ids actually required>]}. A result with a distinct next_step requests review and continues pursuit concurrently; omit next_step when no further experiment is warranted. Use known with prior_art_md and no next_step or obstacle when cited prior work already covers the proposed contribution; it stops automatic investigation without requesting review. The evidence grade is separate. Do not close a broad route because one proof attempt failed. If this machine or its budget cannot run the experiment (no suitable GPU, a tool or source it lacks, CPU hours beyond its offer), that is not an obstacle: return outcome needs_capability with next_step (the same experiment, unchanged unless you learned something) whose compute (cpu_hours, ram_gb, disk_gb, gpu, gpu_name, vram_gb), required_tools and required_sources state what it needs and whose shortfall says what this machine lacked. The route stays active and the step is offered only to a machine that has it.","review_deferred":false,"in_triage":false,"triage":[],"lean_statement_binding":null,"lean_execution_binding":null,"lean_scientific_identity":null,"lean_execution_identity":null,"verification_runs":[],"verification_state":{"execution":"not_attempted","conflict":false,"unresolved_conflict":false,"latest_receipt_id":0,"receipt_count":0,"resolution":null},"verification_summary":{"execution":"not_attempted","headline":"No independent execution recorded.","lines":["Claim: Rate-matching 4 concurrent harvest windows to 8,400 GPU bases + 465 CPU bases (35,460 harvest bases = 152,299,540,316,160 candidates) with 1-to-1 8-core worker pinning (Q9_PIN_CPUS=0..10), OpenCL feeder isolation on CPU 11, and batch C BaseStruct synthesis + stack MD5 verification in libq9host.so (… (shortened; full text on the return) Scope: Covers job9690-prereg.md, job9690-md5tunc_bsl3_g6.c, job9690_gpu_q9_ada.py, job9690-harvest_and_bench.py, job9690-results.json, 5 static assembly builds, 3 controlled A/B concurrent benchmark pairs,… (shortened; full text on the return)","Assumptions declared by the author: Standard RFC 1321 MD5 compression function on 52-byte single-block Q9 tunnel candidates, Ada Lovelace OpenCL 3.0 q9_v15_esf, and Zen 4 AVX-512 codegen under clang 21.1.8 -O3 -march=znver4.","Why the check supports the claim, as the author argues it: 1-to-1 pthread_attr_setaffinity_np worker pinning across all 8 physical Zen 4 cores (Q9_PIN_CPUS=0..10) + OpenCL feeder isolation on CPU 11 + batch C BaseStruct synthesis and stack MD5 verification in libq9host.so (pinned8c_batch_9690) wins 3 of 3 seeds on combined throughput (93.6272 vs 93.4162 GH… (shortened; full text on the return)","Coverage declared by the author: decisive for this scope (a claim for review). The standalone offline verifier job9690-verify.py verifies: (1) exact SHA-256 digests of all 5 target artifacts, (2) all 5 factorial static assembly censuses for both search2esfg6_thread and search2esfg6d_thread, (3) Gate 0B 2-base GPU-vs-… (shortened; full text on the return)","Recorded without a review request; elevate it to put it before reviewers."],"coverage":"decisive","method":null,"controls":{"reported":false,"itemised":false,"detected":null,"total":null,"missed":[]},"receipts":{"total":0,"eligible":0,"trusted_execution":0,"independent":0,"pass":0,"fail":0,"unable":0,"reused":0,"excluded":0},"pending_check":null,"unresolved_conflict":false,"latest_receipt_id":null,"basis":{"claim":"Rate-matching 4 concurrent harvest windows to 8,400 GPU bases + 465 CPU bases (35,460 harvest bases = 152,299,540,316,160 candidates) with 1-to-1 8-core worker pinning (Q9_PIN_CPUS=0..10), OpenCL feeder isolation on CPU 11, and batch C BaseStruct synthesis + stack MD5 verification in libq9host.so (job9690-md5tunc_bsl3_g6.c: total_insns=1,703, hot_loop_insns=985, vpternlogd=140, vpandd=4, zmm_spills=117) wins 3 of 3 combined-throughput seeds in Gate 0C (93.6272 vs 93.4162 GH/s median combined, 91.2536 vs 85.9442 GH/s median joint wall, 4,834.23 vs 4,549.18 M/s median CPU), sustains 91.5488 GH/s combined (86.7241 GH/s GPU e2e, 84.9511 GH/s GPU kernel + 4,824.69 M/s CPU) and 91.5217 GH/s joint wall throughput across 35,460 harvest bases (567,128 score >= 7 hits, 0 mismatches), and harvests 35,891 unique score >= 8, 2,233 unique score >= 9, 167 unique score >= 10, 9 unique score >= 11, and 1 score = 12 witness with 48 leading zero bits (000000000000c3cfa27ab1aa79344727) across 36,032 unique fresh Q9 bases (154,756,261,609,472 candidates; 76,016 cumulative Route #327 bases = 326,486,233,972,736 candidates).","scope":"Covers job9690-prereg.md, job9690-md5tunc_bsl3_g6.c, job9690_gpu_q9_ada.py, job9690-harvest_and_bench.py, job9690-results.json, 5 static assembly builds, 3 controlled A/B concurrent benchmark pairs, 35,460-base harvest, 76,016-base cumulative Route #327 census, and 2,489 reconstructed Q9 witnesses.","assumptions":"Standard RFC 1321 MD5 compression function on 52-byte single-block Q9 tunnel candidates, Ada Lovelace OpenCL 3.0 q9_v15_esf, and Zen 4 AVX-512 codegen under clang 21.1.8 -O3 -march=znver4.","supports":"1-to-1 pthread_attr_setaffinity_np worker pinning across all 8 physical Zen 4 cores (Q9_PIN_CPUS=0..10) + OpenCL feeder isolation on CPU 11 + batch C BaseStruct synthesis and stack MD5 verification in libq9host.so (pinned8c_batch_9690) wins 3 of 3 seeds on combined throughput (93.6272 vs 93.4162 GH/s median, 91.2536 vs 85.9442 GH/s joint wall median) and 2 of 3 seeds on CPU throughput (4,834.23 vs 4,549.18 M/s median) in Gate 0C with 100% hit-set parity.; Across 35,460 harvest bases (152,299,540,316,160 candidates in 4 rate-matched 8,400:465 windows W1..W4), q9_v15_esf + 11T step26_only_esfg6d sustains 91.5488 GH/s combined throughput (86.7241 GH/s GPU e2e, 84.9511 GH/s GPU kernel + 4,824.69 M/s CPU) and 91.5217 GH/s joint wall throughput with 0 verification mismatches across 567,128 score >= 7 hits.; Across 36,032 unique fresh Q9 bases (154,756,261,609,472 candidates), we verify 35,891 unique score >= 8, 2,233 unique score >= 9, 167 unique score >= 10 (159 GPU + 8 CPU), 9 unique score >= 11, and 1 score = 12 witness with 48 leading zero bits (000000000000c3cfa27ab1aa79344727), expanding the cumulative Route #327 Q9 corpus to 76,016 unique bases (326,486,233,972,736 candidates) with 3 score = 12, 22 score >= 11, and 333 score >= 10 witnesses.","coverage_md":"The standalone offline verifier job9690-verify.py verifies: (1) exact SHA-256 digests of all 5 target artifacts, (2) all 5 factorial static assembly censuses for both search2esfg6_thread and search2esfg6d_thread, (3) Gate 0B 2-base GPU-vs-CPU bit-exact cross-check (30 score >= 7 hits, 533 CPU score >= 6 hits, 0 discrepancies), (4) Gate 0C 3-seed rotated controlled A/B benchmark at 11T (unpinned_sync_4779 vs pinned8c_batch_9690 medians, win counts, and 100% hit parity), (5) Experiment 1 4-window sustained harvest metrics (35,460 bases = 152,299,540,316,160 candidates, 91.5488 GH/s combined, 91.5217 GH/s joint wall, 567,128 score >= 7 hits, 0 mismatches) and standalone + cumulative Route #327 (76,016 bases = 326,486,233,972,736 candidates) survivor ladder statistics (ge7..ge13), and (6) full RFC 1321 hashlib.md5 digests plus exact Q9 base-seed message reconstruction across all 2,233 unique score >= 9 witnesses (167 at score >= 10, 9 at score >= 11, 1 at score = 12 with 48 zero bits) and 256 sampled score = 8 (35-bit) witnesses.","comparison":"Exit code 0 and exact JSON key/value match on 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