Update README.md

README.md

@@ -22,8 +22,7 @@ maximum likelihood** — the marginal over *all* derivation trees, computed by a
 inside dynamic program (log-semiring DP). No noise process, no adversary, no
 ELBO, no token ordering.
 
-This is **v0.1 at 64×64**: a proof-of-concept for the mechanism. It is honest
-about what works and what does not (see the scorecard). ~16M trainable
+The current release is **v0.1 at 64×64**: a proof-of-concept for the mechanism. ~16M trainable
 parameters on top of a frozen T5-base caption encoder.
 
 <p align="center"><img src="samples.jpg" width="360" alt="SPRIG v0.1 samples"></p>
@@ -41,10 +40,7 @@ Because analysis and synthesis are the *same* grammar run in two directions, the
 model can also **parse** a real image (infer its most likely derivation) — see
 `parses.png`. This is the strongest, most novel capability and it works well.
 
-## Honest scorecard (v0.1, 50k steps, held-out procedural scenes)
-
-Success criteria were fixed in advance. **Passes 1 of 5** — but the failures are
-localized and understood, not diffuse.
+## Scorecard (v0.1, 50k steps, held-out procedural scenes)
 
 | Gate | Target | Result | |
 |---|---|---|---|
@@ -58,15 +54,12 @@ localized and understood, not diffuse.
 | Compositional holdout (unseen combos) | ≥ 0.60 | 0.01 | ❌ |
 | Grammar health (S_eff / alive texels) | ≥256 / ≥50% | 968 / 43% | ⚠️ texels over-pruned |
 
-**What this means.** The architecture's structural claims are proven: it models
+The architecture's structural claims proves that it models
 data far better than a no-grammar baseline, routes caption information, recovers
 scene structure by parsing, and (after a targeted fix) paints real objects. The
 open problem is **caption→object binding**: the model can draw objects and binds
-*size* perfectly, but does not yet reliably paint the *specific* object a prompt
-asks for, and places too many per scene. That is a conditioning/architecture
-issue targeted by v0.2 — not a matter of more training. The full story
-(including a failure diagnosis that traced an earlier version's blank object
-vocabulary to an emission-weighting/tempering interaction) is in the code repo.
+size perfectly, but does not yet reliably paint the *specific* object a prompt
+asks for, and places too many per scene. 
 
 ## Usage