census: DeepseekV4FlashSuperExpertForCausalLM is reviewed and report-only, with the reason recorded (Fixes #1922)

registry/significant.json

@@ -167,6 +167,11 @@
    "model_type": "nanogpt-custom",
    "family": "nanoGPT-style one-offs (first seen: learner-subodh/Delivery-Rider-Assistant-SLM). 'GPT' is the class name nanoGPT's model.py exports, so this key covers any upload that saves nanoGPT's own state dict. Not an alias of GPT2LMHeadModel: the config uses nanoGPT's keys (n_embd 384, n_layer 6, n_head 8, block_size 256, bias, dropout) rather than GPT2Config's n_positions/n_ctx, the repo carries only a pickled pytorch_model.bin (no safetensors, no tokenizer files; the card names tiktoken gpt2), and nanoGPT stores nn.Linear weights where GPT-2's checkpoint stores Conv1D (transposed), so the gpt2 converter would read every projection the wrong way round. Nothing at the pin registers the class. Declined on 2026-11-09 under engine #1667; the census reports it as . REVIEWED. Remove this entry if a backend gains a nanoGPT import.",
    "watch": "report"
+  },
+  "DeepseekV4FlashSuperExpertForCausalLM": {
+   "model_type": "deepseek_v4_flash_superexpert",
+   "family": "DeepSeek V4.1 Flash SuperExpert, published as remote code and with AW-SECD-compressed weights (8.5 GB, claimed 0.962 retention); MLA-style geometry (kv_lora_rank 512, q_lora_rank 1536, qk_rope_head_dim 64, v_head_dim 128, 32 heads / 16 KV, IM 4096). Not an alias of deepseek_v41: nothing at the pin decodes AW-SECD weights, so mapping it would name a backend that cannot read it",
+   "watch": "report"
   }
  }
 }

tests/census_watch_test.py

@@ -937,6 +937,18 @@ def _fake_urlopen(req, timeout=0):
 check("a 401 falls back to anonymous instead of failing the run",
       page == [{"id": "x/y"}] and seen_auth[0] == "Bearer hf_stale" and seen_auth[1] is None)
 
+
+# 17. engine#1922: DeepSeek V4.1 Flash SuperExpert is reviewed and report-only -- listed, not alerted.
+# The class is remote code (its own modeling_ module) AND ships AW-SECD-compressed weights, so nothing at
+# the pin decodes it: mapping it in architectures.json would name a backend that cannot read the file.
+_DS = "DeepseekV4FlashSuperExpertForCausalLM"
+check("engine#1922 class is recorded as report-only",
+      sig.get(_DS, {}).get("watch") == "report")
+check("engine#1922 entry states WHY (the compressed weights), not just that it is declined",
+      "AW-SECD" in sig.get(_DS, {}).get("family", ""))
+check("engine#1922 class stays out of the runtime registry", _DS not in archs)
+check("engine#1922 entry records its model_type", sig.get(_DS, {}).get("model_type") == "deepseek_v4_flash_superexpert")
+
 if failures:
     print(f"\n{len(failures)} check(s) failed")
     sys.exit(1)