context_var_ref Parameter Not Functional and Baseline Interpretation Gap

**Problem Description:**

I am trying to model binary factor variables (prime_promo, BFCM_promo) and facing a major challenge in interpreting the decomposition results due to the hidden nature of the baseline effect (the "non-promo" state).
I attempted to use the `context_var_ref` parameter, which appears to be designed for this exact purpose, but found it has no impact on the model output.

**Input Code:**
```
InputCollect <- robyn_inputs(
dt_input = data,
dt_holidays = dt_prophet_holidays,
date_var = "date",
dep_var = "Amazon_revenue",
dep_var_type = "revenue",
prophet_vars = c("trend", "season","holiday"),
prophet_country = "US",
context_vars = c("prime_promo","BFCM_promo"),
context_var_ref = list(
prime_promo = 0, # Use 0 as baseline - for non promo
BFCM_promo = 0),
paid_media_spends = c("amazon_daily_spend","amazon_dsp_spend"),
paid_media_vars = c("amazon_daily_spend","amazon_dsp_spend"),
organic_vars = c("Shopify_spends"),
factor_vars = c( "prime_promo","BFCM_promo"),
window_start = min(data$date),
window_end = max(data$date),
adstock = "weibull_pdf"
)
```

**Observation:**

1. **Interpretation Gap**( Reversed contribution) : For the binary variable `BFCM_promo` (0 = No Promo, 1 = Promo), the decomposition is inverted — it shows contribution on non-promo days (0) and zero contribution on promo days (1) but` prime_promo` is giving correct results.

2. **Functional Failure**: Running the model with `context_var_ref = list(prime_promo = 0,BFCM_promo = 0) `yields the exact same pareto_decomp_matrix as running the model without the `context_var_ref` argument entirely.

3. **Missing documentation** : The context_var_ref parameter is not present in the official robyn documentation.

**Requested Action:**

1. I am trying to model binary factors (prime_promo, BFCM_promo) but the decomposition for `BFCM_promo `shows reversed contributions and no effect from` context_var_ref`.

2. Can someone please confirm whether the `context_var_ref` parameter is currently functional or still under development?

3. Guidance or documentation on correctly setting the baseline for binary context variables would be very helpful.