docs: refresh READMEs — Zenodo DOI, correct block range, current scope

Root README: add the minted Zenodo DOI (badge + bibtex doi field), fix the
stale "blocks 00–20" range (pipeline runs all blocks), point the cite URL at
the DOI.

study/README: correct the run description (every block + findings.json +
drift audit), and note the work now extends past the W1–P4 core through fronts
B/C/E and F–U, temporal equivalence (TOST), multi-sport external validity via
the canonical layer, and the /measure service — full log in docs/FINDINGS.md.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

Author: valvesss

README.md

@@ -10,6 +10,7 @@
 [![license](https://img.shields.io/badge/code-Apache--2.0-blue)](LICENSE)
 [![paper](https://img.shields.io/badge/paper-CC--BY--4.0-green)](study/docs/paper/draft.md)
 [![reproducible](https://img.shields.io/badge/pipeline-reproducible-brightgreen)](study/run.sh)
+[![DOI](https://img.shields.io/badge/DOI-10.5281%2Fzenodo.20822121-blue)](https://doi.org/10.5281/zenodo.20822121)
 
 </div>
 
@@ -45,7 +46,7 @@ frozen by content hash.
 ```
 study/        the research — fully reproducible Python pipeline
   skewlib/    reusable library (de-vig, ex-ante skewness, Elo, panel, model…)
-  analysis/   thin scripts, one per block (00–20)
+  analysis/   thin scripts, one per block (00–51)
   docs/       FINDINGS (phase log), METHODOLOGY, LITERATURA, paper/ (draft)
   data/PROVENANCE.json   frozen dataset hash + scope
   run.sh      one command: venv + deps + fetch + all blocks
@@ -56,7 +57,7 @@ site/         the showcase frontend (Astro) — skew-dynamic.coldcodelabs.com
 
 ```bash
 cd study
-./run.sh            # venv + deps + dataset + blocks 00→20 (figures in outputs/fig)
+./run.sh            # venv + deps + dataset + all blocks (figures in outputs/fig)
 ```
 
 Every reported number regenerates from the frozen dataset (sha256 in
@@ -79,7 +80,8 @@ See [`CITATION.cff`](CITATION.cff), or:
   author = {Alves, Vitor},
   year   = {2026},
   note   = {Cold Code Labs},
-  url    = {https://skew-dynamic.coldcodelabs.com}
+  doi    = {10.5281/zenodo.20822121},
+  url    = {https://doi.org/10.5281/zenodo.20822121}
 }
 ```
 

study/README.md

@@ -57,8 +57,9 @@ data/PROVENANCE.json  hash + window of the frozen dataset (versioned)
 
 ## How to run
 
-Full pipeline in one command (creates venv, installs deps, fetches the data and
-runs blocks 00→06 in order):
+Full pipeline in one command (creates venv, installs deps, fetches the data,
+runs every analysis block in order, regenerates `findings.json`, and audits the
+evidence ledger for result drift):
 
 ```bash
 ./run.sh                # everything; --no-fetch skips the download, --no-venv uses the current python
@@ -87,5 +88,14 @@ PYTHONPATH=. python analysis/01_baseline.py # or any 0X_*
 | P3 derivation | ordered-probit predicts the 3rd moment from the 1st: r=+0.90, RMSE 0.024 (F5) |
 | P4 stable FLB | no drift in the bias (yearly corr +0.27 n.s.); year-on-year calibration intact |
 
+The table above is the original core (W1–P4). The study has since extended through
+fronts B/C/E and F–U — shape invariance and distribution collapse, the closed-form
+law, price discovery (open→close), a generative-model battery, a VAR natural
+experiment, the pre-2005 regime, temporal **equivalence** (TOST, not just a high
+*p*-value), and **external validity** across three sports (football, tennis,
+basketball) via a sport-agnostic canonical layer (`skewlib/canonical.py` +
+`skewlib/adapters/`). The calibrated instrument is also exposed as a thin
+`/measure` service (`api/`). The full per-phase log lives in `docs/FINDINGS.md`.
+
 Details and phase log in `docs/FINDINGS.md`; methodology in `docs/METHODOLOGY.md`;
 literature in `docs/LITERATURA.md`; paper draft in `docs/paper/draft.md`.