VeriRender — Causal Consistency Evaluation
Sample: sample_00166
Before sending: attach
clean.pngfrom this folder as the image, then paste everything below the horizontal rule into the chat.
You are evaluating a scientific visualization for causal consistency.
The following specification is the symbolic generator — it fully specifies what the output plot should look like:
import numpy as np
import matplotlib.pyplot as plt
# ── Parameters ──────────────────────────────────────────────────────────────
seed = 3905
n_petals = 5 # k in r = A|cos(k·θ/2)|
amplitude = 1.350061
n_points = 1000
# ── Data ────────────────────────────────────────────────────────────────────
theta = np.linspace(0.0, 2.0 * np.pi, n_points)
r = amplitude * np.abs(np.cos(n_petals * theta / 2.0))
# ── Plot ─────────────────────────────────────────────────────────────────────
fig, ax = plt.subplots(subplot_kw={"projection": "polar"}, figsize=(5, 5))
ax.plot(theta, r, linewidth=1.5)
ax.set_title(
f"Rose Curve (k={n_petals}, A={amplitude:.2f})", pad=15
)
fig.tight_layout()
plt.show()
Domain: Data visualization
Plot family: Polar plot (rose / petal curve)
I am showing you an image that claims to be the output of this generator.
Your Task
- Read the specification carefully. Reason about what the plot should look like (shape, orientation, color mapping, symmetry, value signs, etc.).
- Examine the attached image.
- Decide whether the image is causally consistent with the generator.
If the image is not consistent, classify the inconsistency using exactly one of these labels:
| Label | Meaning |
|---|---|
colormap_inversion |
The colormap used is different from what the code specifies |
axis_swap |
Axes or data dimensions are transposed or mirrored |
sign_inversion |
Values are negated — peaks and troughs (or bar directions) are swapped |
amplitude_scale |
The value scale is wrong — the colorbar, y-axis range, or bar value labels do not match the formula's amplitudes |
phase_shift |
The pattern is shifted from its correct position |
frequency_doubling |
The number of oscillations or cycles is wrong |
dc_offset |
The curves or point cloud are shifted away from their correct baseline |
wrong_petal_count |
The number of petals/lobes differs from what the formula produces |
symmetry_mismatch |
The image contains asymmetry that the code cannot produce |
bar_order_swap |
Two bars have had their heights swapped — a bar's value label contradicts the code's heights list |
coefficient_scale |
Polynomial coefficients are scaled but the formula in the spec is unchanged |
wrong_gravity |
Trajectory uses a different gravitational constant than the spec |
wrong_launch_angle |
Trajectory uses a different launch angle than the spec |
wrong_iteration_depth |
L-system rendered with a different iteration count than the spec |
wrong_angle |
L-system rendered with a different turn angle than the spec |
Response Format
Respond with only this JSON object and nothing else:
{
"consistent": true | false,
"bug_type": "<one label from the table above, or null if consistent>",
"confidence": "low | medium | high",
"reasoning": "<1–3 sentences: what you expected vs. what you see>"
}