Release armiger v2.1.0 (6-plugin suite table & v2.1.0 config)

README.md

@@ -4,7 +4,6 @@ library_name: onnx
 tags:
   - norvitech
   - armiger
-  - bitagent
   - bitmagnet
   - torrent-classification
   - media-classification
@@ -21,18 +20,17 @@ pipeline_tag: text-classification
 <h1 align="center">Armiger</h1>
 
 <p align="center">
-  <strong>Fast 8.3 MB universal CPU torrent &amp; media classifier for BitAgent, Bitmagnet, Prowlarr, Sonarr, and Radarr.</strong><br>
+  <strong>Fast 8.3 MB universal CPU torrent &amp; media classifier for Bitmagnet, Prowlarr, Sonarr, and Radarr.</strong><br>
   Predicts 8 calibrated decision heads simultaneously in 0.42 ms batched (2.44 ms single-item) on any CPU — matching or outperforming Frontier Cloud LLMs at ~900x faster speed and $0 API cost.
 </p>
 
 <p align="center">
   <a href="https://norvitech.com"><img alt="NorviTech Suite" src="https://img.shields.io/badge/NorviTech-Suite-FD8024.svg"></a>
-  <a href="https://github.com/spencercnorton/bitagent"><img alt="BitAgent Integration" src="https://img.shields.io/badge/BitAgent-Processor-0284C7.svg"></a>
   <a href="https://huggingface.co/NorviTech/armiger-ultra"><img alt="Armiger Ultra" src="https://img.shields.io/badge/Armiger_Ultra-GPU_%2B_Swarm_Suite-10B981.svg"></a>
   <img alt="Licence Apache-2.0" src="https://img.shields.io/badge/licence-Apache--2.0-blue.svg">
 </p>
 
-**Armiger** (`NorviTech/armiger`) is an ultra-compact (`8.3 MB`), zero-tokenizer byte-level RoPE Transformer + File-Tree Encoder designed for real-time BitTorrent, DHT, Usenet, and media automation ([BitAgent](https://github.com/spencercnorton/bitagent), `Bitmagnet`, `Prowlarr`, `Sonarr`, `Radarr`) classification on any CPU.
+**Armiger** (`NorviTech/armiger`) is an ultra-compact (`8.3 MB`), zero-tokenizer byte-level RoPE Transformer + File-Tree Encoder designed for real-time BitTorrent, DHT, Usenet, and media automation (`Bitmagnet`, `Prowlarr`, `Sonarr`, `Radarr`) classification on any CPU.
 
 Unlike rule parsers (`GuessIt`, `PTT`, `RTN`, `PTN`, `Anitomy`) that only recognize video filenames or `360M+` parameter subword models (`MIMMO BERT`) that require `~1.4 GB` of weights, **Armiger** reads raw UTF-8 title bytes and internal file trees directly to predict **8 calibrated classification heads** in a single forward pass.
 
@@ -56,15 +54,16 @@ Unlike rule parsers (`GuessIt`, `PTT`, `RTN`, `PTN`, `Anitomy`) that only recogn
 
 ## Optional Modular Plugins (Available Standalone or Bundled in `Armiger Ultra`)
 
-`NorviTech/armiger` ships as a compact `8.3 MB` zero-dependency ONNX INT8 engine (`armiger.onnx` + `calibration.json`). Any of the **5 official Armiger plugins** below can be attached on demand (or downloaded pre-bundled inside [`NorviTech/armiger-ultra`](https://huggingface.co/NorviTech/armiger-ultra)):
+`NorviTech/armiger` ships as a compact `8.3 MB` zero-dependency ONNX INT8 engine (`armiger.onnx` + `calibration.json`). Any of the **6 official Armiger plugins** below can be attached on demand (or downloaded pre-bundled inside [`NorviTech/armiger-ultra`](https://huggingface.co/NorviTech/armiger-ultra)):
 
 | Plugin Repository | Bundled in `Armiger Ultra`? | Footprint | Core Capability & Measured Impact |
 | :--- | :---: | :---: | :--- |
 | **[`NorviTech/armiger-swarm-survival`](https://huggingface.co/NorviTech/armiger-swarm-survival)** | **Yes** (`swarm_adapter.pt`, `swarm_survival.py`) | `163 KB` | **SwarmSurvivalNet v2 & Honeypot Residual Adapter:** **`96.83%`** Swarm Liveliness AUROC (vs. `53.04%` raw seeders), **`100.0%`** fake-seeder malware trap recall, **`0%`** content-category flip guarantee. |
 | **[`NorviTech/armiger-swarm-priors`](https://huggingface.co/NorviTech/armiger-swarm-priors)** | **Yes** (`swarm_priors.py`) | `29.4 KB` | **Empirical Bayes Swarm & Release-Group Priors:** 4-pathway tracker scrape prior engine, mandatory modality dropout (`p=0.60`), anomaly feature extraction, and public-tracker passkey safety filter. |
-| **[`NorviTech/armiger-zero-cue-catalog`](https://huggingface.co/NorviTech/armiger-zero-cue-catalog)** | **Yes** (`zero_cue_plugin.py`, `validated_zero_cue_catalog.json`) | `26.8 MB` | **Zero-Cue Catalog & Structural Disambiguator:** Offline 926,785-key normalized `TMDB`/`TVDB`/`AniDB`/`Manami` lookup + structural pack/ROM/VN/course rules; lifts Movie-vs-TV accuracy to **`99.46%`** and 11-class accuracy to **`98.48%`**. |
+| **[`NorviTech/armiger-zero-cue-catalog`](https://huggingface.co/NorviTech/armiger-zero-cue-catalog)** | **Yes** (`zero_cue_plugin.py`, `validated_zero_cue_catalog.json`) | `36.0 MB` | **Zero-Cue Catalog & Structural Disambiguator:** Offline 929,400-key normalized `TMDB`/`TVDB`/`AniDB`/`Manami` lookup + structural pack/ROM/VN/course rules; lifts Movie-vs-TV accuracy to **`99.46%`** and 11-class accuracy to **`98.48%`** (`98.93%` Hard Edge-Cases). |
 | **[`NorviTech/armiger-audio-guard`](https://huggingface.co/NorviTech/armiger-audio-guard)** | **Yes** (`audio_language_guard.py`) | `4.2 KB` | **Cross-Head Audio Language & Anime Dub Guard:** Couples `title_language` (`P(Foreign Title)`) with `lang` head to disambiguate `.en.` prepositions, `<Foreign>.ENG.Sub`, regional dubs, and `MULTi (FR EN)` tags; reaches **`98.72%`** Gold Standard and **`99.88%`** Hard Edge-Case audio accuracy. |
-| **[`NorviTech/armiger-calibration-dht`](https://huggingface.co/NorviTech/armiger-calibration-dht)** | **Yes** (`calibration.json`, `calibration_and_dht.py`) | `8.5 KB` | **Conformal Calibration & BEP-44 DHT Updater:** Per-head temperature scaling ($T_h$), Menon prior adjustments, Mondrian conformal safety gates (`99.95%` junk balanced accuracy), and `Ed25519`-signed `BEP-44` decentralized DHT hot-reload engine. |
+| **[`NorviTech/armiger-calibration-dht`](https://huggingface.co/NorviTech/armiger-calibration-dht)** | **Yes** (`calibration.json`, `calibration_and_dht.py`, `armiger_dht_rsi.py`) | `115 KB` | **Conformal Calibration, BEP-44 DHT Updater & Distributed RSI Engine:** Per-head temperature scaling ($T_h$), Mondrian safety gates (`99.95%` junk balanced accuracy), `Ed25519` threshold-signed `BEP-44`/`BEP-46` DHT hot-reload, universal `*Arr`/qBittorrent/Transmission/ffprobe ground-truth RSI, `X25519`+`ChaCha20-Poly1305` AEAD, distinct-ASN quorum, and 500-canary regression gate (`36/36` tests). |
+| **[`NorviTech/armiger-dht-db-sync`](https://huggingface.co/NorviTech/armiger-dht-db-sync)** | **Yes** (`csam_guard.py`, `armiger_dht_db_sync.py`) | `98 KB` | **Modular, CSAM-Protected, Encrypted BEP-44/BEP-46 DHT Database Sync:** Multi-stage CSAM & abuse pre-ingest blocker, `Ed25519`-signed blinded `SHA-256` tombstone purge engine, 10-category $	imes$ 14-language $	imes$ 7-quality sharded subscriptions with strict default-off `xxx` isolation, `X25519`+`ChaCha20-Poly1305` AEAD, binary Merkle proofs, and $K$-of-$N$ distinct-ASN Sybil quorum (`27/27` tests). |
 
 ---
 
@@ -132,14 +131,13 @@ Unlike rule parsers (`GuessIt`, `PTT`, `RTN`, `PTN`, `Anitomy`) that only recogn
 </p>
 
 <p align="center">
-  <a href="https://github.com/spencercnorton/helios">Helios</a> ·
-  <a href="https://github.com/spencercnorton/bitagent">BitAgent</a> ·
-  <a href="https://github.com/spencercnorton/xnote">XNote</a> ·
-  <a href="https://github.com/spencercnorton/xnote-placement">XNote Placement</a> ·
-  <a href="https://github.com/spencercnorton/snipsnap">SnipSnap</a> ·
-  <a href="https://github.com/spencercnorton/conductor">Conductor</a> ·
-  <a href="https://github.com/spencercnorton/norvi-os">NorviOS</a> ·
-  <a href="https://github.com/spencercnorton/indigo">Indigo</a> ·
-  <a href="https://github.com/spencercnorton/roadtrack">Road Track</a> ·
+  <a href="https://huggingface.co/NorviTech/armiger-ultra">Armiger Ultra</a> ·
+  <a href="https://huggingface.co/NorviTech/armiger">Armiger</a> ·
+  <a href="https://huggingface.co/NorviTech/armiger-swarm-survival">Swarm Survival</a> ·
+  <a href="https://huggingface.co/NorviTech/armiger-swarm-priors">Swarm Priors</a> ·
+  <a href="https://huggingface.co/NorviTech/armiger-zero-cue-catalog">Zero-Cue Catalog</a> ·
+  <a href="https://huggingface.co/NorviTech/armiger-audio-guard">Audio Guard</a> ·
+  <a href="https://huggingface.co/NorviTech/armiger-calibration-dht">Calibration &amp; DHT RSI</a> ·
+  <a href="https://huggingface.co/NorviTech/armiger-dht-db-sync">DHT DB Sync</a> ·
   <a href="https://norvitech.com">norvitech.com</a>
 </p>

calibration.json

@@ -1,5 +1,5 @@
 {
-  "temperature_scaling": {
+  "temperature_scaling_stop_fit": {
     "category": {
       "temperature_T": 1.225,
       "cal_uncalibrated": {
@@ -97,38 +97,47 @@
       }
     }
   },
-  "menon_logit_adjustment": {
-    "armiger_v1": {
+  "menon_logit_adjustment_stop_fit": {
+    "D80000": {
       "tau": 0.0
     },
-    "armiger": {
+    "D100000": {
       "tau": 0.0
     },
-    "armiger_ultra_v1": {
+    "E100000_TC_v3": {
       "tau": 0.0
     },
-    "armiger_ultra": {
+    "E100000_TC_v4": {
       "tau": 0.0
     },
-    "armiger_ultra_distilled": {
+    "G250000_Unified": {
+      "tau": 0.0
+    },
+    "G500000_Unified": {
+      "tau": 0.0
+    },
+    "H350000_Curated_Wave2": {
+      "tau": 0.0
+    },
+    "I350000_Distilled": {
       "tau": 0.0
     }
   },
   "mondrian_conformal_thresholds": {
     "owner_scope": {
       "alpha": 0.02,
-      "threshold_armiger": 0.5917,
-      "threshold_armiger_ultra": 0.6433
+      "threshold_I350": 0.5917,
+      "threshold_H350": 0.6433
     },
     "junk": {
       "alpha": 0.005,
-      "threshold_armiger": 0.0631,
-      "threshold_armiger_ultra": 0.0564
+      "threshold_I350": 0.0631,
+      "threshold_H350": 0.0564
     },
     "adult": {
       "alpha": 0.01,
-      "threshold_armiger": 0.7801,
-      "threshold_armiger_ultra": 0.7175
+      "threshold_I350": 0.7801,
+      "threshold_H350": 0.7175
     }
   }
 }

config.json

@@ -1,6 +1,6 @@
 {
   "model_name": "armiger",
-  "version": "2.0.0",
+  "version": "2.1.0",
   "architecture": "armiger-v2-byte-rope-transformer-8head",
   "format": "onnx-int8-dynamic",
   "size_bytes": 8276448,