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@@ -42,6 +42,7 @@ Results are **split by reasoning mode**: comparing a thinking-on (reasoning) mod
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  | Gemma 4 31B-it | 30.70B | Q6_K | 87.8 | 97.6 | 92.0 | 97.5 | 96.3 | **94.2** |
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  | Qwopus3.6-27B-Coder | 27.32B | Q5_K_M | 87.5 | 96.8 | 95.2 | 97.5 | 93.3 | **94.1** |
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  | Qwen3.6-27B | 26.90B | Q6_K | 87.9 | 96.9 | 95.4 | 97.3 | 92.7 | **94.0** |
 
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  | Qwable-5-27B-Coder | 26.90B | Q6_K | 87.9 | 97.1 | 95.5 | 97.0 | 90.9 | **93.7** |
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  | Qwen3.6-35B-A3B | 34.66B | UD-Q4_K_M | 85.0 | 95.7 | 93.3 | 96.7 | 95.7 | **93.3** |
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  | Qwen3.6-27B | 26.90B | NVFP4 | 87.0 | 96.7 | 94.9 | 97.1 | 90.2 | **93.2** |
@@ -136,6 +137,7 @@ One-shot investigations that don't fit the leaderboard format — claim verifica
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  | [ECHO maze microcosm](reports/echo-maze-microcosm.md) · [chart](reports/echo-maze-microcosm.png) | ECHO's "world model for free" env-token loss, isolated in a 10M from-scratch maze transformer (behavior cloning; the only A/B is the loss mask). A clean null under both observation regimes — full-obs and walls-only — every gap inside the seed spread, no growth with maze size. The free aux loss is worth exactly that in pure imitation; the reported gain must live in ECHO's on-policy RL coupling, not the loss as a plug-in. (The paper has no maze — this microcosm is original, verified by grepping the source + repo.) |
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  | [Spec-decode three-way (Gemma 4 26B-A4B)](reports/specdecode-gemma-4-26b-a4b.md) · [chart](reports/specdecode-gemma-4-26b-a4b.png) | MTP vs EAGLE-3 vs DFlash on one RTX 5090 (vLLM 0.21, sm_120), including the EAGLE-3 leg nobody publishes. Single-stream near-tie: DFlash 2.19x, MTP 2.13x, EAGLE-3 1.69x — DFlash is feast-or-famine (prose 1.04x, repetitive 4.37x), MTP the steady all-rounder. Six consumer-Blackwell fixes to run it at all (NVFP4 to MARLIN, FLEX_ATTENTION for the #42068 attention deadlock) plus a self-caught /metrics parser bug. Dense 31B excluded: no clean quant fits 32GB. |
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  | [Qwopus3.6-27B-Coder](reports/qwopus-coder-27b.md) · [chart](reports/qwopus-coder-chart.png) | Four legs measured: q_avg 94.1 (#2 thinking-off, beats its base at a smaller quant); "100 tps" MTP verified (96-114 t/s) but the finetuned head accepts worse than the original (1.4-1.6x vs 1.8-2.2x); a perfect 100 Agentic Score — and 57% real SWE-bench resolve, *below its own base* (63%). Trained on Hermes traces: the in-distribution mirage the reality anchor was built to catch. 67% claim doesn't reproduce. |
 
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  | [Keye-VL-2.0-30B autopsy](reports/keye-vl-2-autopsy.md) · [chart](reports/keye-walls-chart.png) | Five measured walls: "lossless 256K" needs 25.8GB of KV alone; the shipped sparse attention is O(N²)-memory (one 30.65GiB allocation at ~32K, measured); 4-bit quant reaches 4.7% of params; the code's API window is two transformers release candidates wide. Does not run on consumer hardware. |
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  | [LocateAnything-3B](reports/locateanything-3b.md) · [chart](reports/la-screenspot-chart.png) · [raw](raw/la-screenspot.jsonl) | ScreenSpot-Pro 55.3% measured vs 60.3 claimed (32GB forces extra downscale; accuracy tracks screenshot size). Real fault line: text 63.2% vs icons 42.7%. PBD parallel box decoding verified at 2.07x on the SDPA fallback. |
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  | [HRM-Text-1B](reports/hrm-text-1b.md) · [chart](reports/hrm-trap.png) · [raw gens](raw/) | GSM8K 79.5% (claimed 84.5: holds at n=200). Omitting `token_type_ids` — which every standard harness does — silently costs 26 points. The recurrence bill: a 1.2B that decodes like a ~5B (42.9 tok/s bf16, 4x KV cache). |
 
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  | Gemma 4 31B-it | 30.70B | Q6_K | 87.8 | 97.6 | 92.0 | 97.5 | 96.3 | **94.2** |
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  | Qwopus3.6-27B-Coder | 27.32B | Q5_K_M | 87.5 | 96.8 | 95.2 | 97.5 | 93.3 | **94.1** |
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  | Qwen3.6-27B | 26.90B | Q6_K | 87.9 | 96.9 | 95.4 | 97.3 | 92.7 | **94.0** |
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+ | Qwopus3.6-27B-Coder-Compat | 27.32B | Q6_K | 87.9 | 96.7 | 95.3 | 97.8 | 90.9 | **93.7** |
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  | Qwable-5-27B-Coder | 26.90B | Q6_K | 87.9 | 97.1 | 95.5 | 97.0 | 90.9 | **93.7** |
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  | Qwen3.6-35B-A3B | 34.66B | UD-Q4_K_M | 85.0 | 95.7 | 93.3 | 96.7 | 95.7 | **93.3** |
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  | Qwen3.6-27B | 26.90B | NVFP4 | 87.0 | 96.7 | 94.9 | 97.1 | 90.2 | **93.2** |
 
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  | [ECHO maze microcosm](reports/echo-maze-microcosm.md) · [chart](reports/echo-maze-microcosm.png) | ECHO's "world model for free" env-token loss, isolated in a 10M from-scratch maze transformer (behavior cloning; the only A/B is the loss mask). A clean null under both observation regimes — full-obs and walls-only — every gap inside the seed spread, no growth with maze size. The free aux loss is worth exactly that in pure imitation; the reported gain must live in ECHO's on-policy RL coupling, not the loss as a plug-in. (The paper has no maze — this microcosm is original, verified by grepping the source + repo.) |
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  | [Spec-decode three-way (Gemma 4 26B-A4B)](reports/specdecode-gemma-4-26b-a4b.md) · [chart](reports/specdecode-gemma-4-26b-a4b.png) | MTP vs EAGLE-3 vs DFlash on one RTX 5090 (vLLM 0.21, sm_120), including the EAGLE-3 leg nobody publishes. Single-stream near-tie: DFlash 2.19x, MTP 2.13x, EAGLE-3 1.69x — DFlash is feast-or-famine (prose 1.04x, repetitive 4.37x), MTP the steady all-rounder. Six consumer-Blackwell fixes to run it at all (NVFP4 to MARLIN, FLEX_ATTENTION for the #42068 attention deadlock) plus a self-caught /metrics parser bug. Dense 31B excluded: no clean quant fits 32GB. |
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  | [Qwopus3.6-27B-Coder](reports/qwopus-coder-27b.md) · [chart](reports/qwopus-coder-chart.png) | Four legs measured: q_avg 94.1 (#2 thinking-off, beats its base at a smaller quant); "100 tps" MTP verified (96-114 t/s) but the finetuned head accepts worse than the original (1.4-1.6x vs 1.8-2.2x); a perfect 100 Agentic Score — and 57% real SWE-bench resolve, *below its own base* (63%). Trained on Hermes traces: the in-distribution mirage the reality anchor was built to catch. 67% claim doesn't reproduce. |
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+ | [Qwopus3.6-27B-Coder-Compat: the regressions healed](reports/qwopus-coder-compat.md) · [chart](reports/qwopus-coder-compat-recovery.png) | The "compatibility" re-release of Qwopus-Coder, measured controlled vs base Qwen3.6-27B + the prior Coder at matched Q6_K (think-off, temp 0). Quality flat (q_avg 93.7). The prior tune's two regressions both heal: the degraded MTP draft head recovers 1.4-1.6x → 1.9-2.3x (back on the base curve), and real SWE-bench Verified resolve returns to base parity — 8/12, the exact same bugs as base, +1 over the prior tune (recovers pytest-6202) with one fewer give-up. Agentic Score 100.0 ties the prior (saturated — the synthetic axis can't separate the two; the anchor can). A compat fix that costs no capability: the coder tune no longer carries a drafter or real-bug penalty. |
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  | [Keye-VL-2.0-30B autopsy](reports/keye-vl-2-autopsy.md) · [chart](reports/keye-walls-chart.png) | Five measured walls: "lossless 256K" needs 25.8GB of KV alone; the shipped sparse attention is O(N²)-memory (one 30.65GiB allocation at ~32K, measured); 4-bit quant reaches 4.7% of params; the code's API window is two transformers release candidates wide. Does not run on consumer hardware. |
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  | [LocateAnything-3B](reports/locateanything-3b.md) · [chart](reports/la-screenspot-chart.png) · [raw](raw/la-screenspot.jsonl) | ScreenSpot-Pro 55.3% measured vs 60.3 claimed (32GB forces extra downscale; accuracy tracks screenshot size). Real fault line: text 63.2% vs icons 42.7%. PBD parallel box decoding verified at 2.07x on the SDPA fallback. |
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  | [HRM-Text-1B](reports/hrm-text-1b.md) · [chart](reports/hrm-trap.png) · [raw gens](raw/) | GSM8K 79.5% (claimed 84.5: holds at n=200). Omitting `token_type_ids` — which every standard harness does — silently costs 26 points. The recurrence bill: a 1.2B that decodes like a ~5B (42.9 tok/s bf16, 4x KV cache). |