Document the complete 500-step release series

README.md

@@ -20,18 +20,23 @@ used by Ideogram 4, plus the matching training LoRA. It is intended to make Ideo
 ordinary natural-language prompts more like the stock model responds to structured Magic-Prompt JSON.
 It operates as a direct checkpoint replacement through the stock ComfyUI loader.
 
-This release is the first strength-0.2 milestone. The nominal 500-step milestone resolved to the first
-complete checkpoint in that checkpoint band, **optimizer step 510**.
+This repository publishes the strength-0.2 training lineage at 500-step intervals through optimizer
+step 5000. Each milestone contains a merged scaled-FP8 text encoder and its matching rank-64 LoRA. A
+milestone resolves to the first complete checkpoint in its 500-step band, so the initial 500 milestone
+resolved to **optimizer step 510**. See [`MILESTONES.md`](MILESTONES.md) for the live artifact index.
 
 ## Files
 
-| File | Purpose | Size | SHA-256 |
-|---|---|---:|---|
-| `text_encoders/qwen3vl_8b_ideogram4_nl_s020_v1_step_00000510_fp8_scaled.safetensors` | Standalone drop-in scaled-FP8 text encoder | 10,588,637,800 bytes | `f0d1009af7407b60bda169967bb5e4c3e8ea264042b70f3d7b667bb0c2404ece` |
-| `loras/qwen3vl_8b_ideogram4_nl_s020_v1_step_00000510_r64_a64.safetensors` | Matching unmerged research LoRA | 698,404,608 bytes | `85359811e619276f85742072c2b3327915bbb56bcefb874f2f3101a5d1216eef` |
-| `manifests/checkpoint_step_00000510.json` | Training checkpoint and controller metadata | — | See `SHA256SUMS` |
-| `manifests/merge_step_00000510.json` | Merge inputs, output hash, and per-projection quantization metrics | — | See `SHA256SUMS` |
-| `COMPATIBILITY.md` | Component boundary, provenance, and third-party compatibility notice | — | See `SHA256SUMS` |
+| Path | Purpose |
+|---|---|
+| `text_encoders/*_step_XXXXXXXX_fp8_scaled.safetensors` | Standalone drop-in scaled-FP8 text encoders |
+| `loras/*_step_XXXXXXXX_r64_a64.safetensors` | Matching unmerged research LoRAs |
+| `manifests/checkpoint_step_XXXXXXXX.json` | Training checkpoint and controller metadata |
+| `manifests/merge_step_XXXXXXXX.json` | Merge inputs, output hash, and per-projection quantization metrics |
+| `MILESTONES.md` | Human-readable live release index |
+| `MILESTONES.json` | Machine-readable live release index |
+| `SHA256SUMS` | SHA-256 inventory for every merged encoder and LoRA |
+| `COMPATIBILITY.md` | Component boundary, provenance, and third-party compatibility notice |
 
 The LoRA uses this project's native tensor names (`layers.N.<projection>.lora_a` and `lora_b`). The
 merged text encoder is the recommended artifact for inference; the LoRA is provided for research,