radar images
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Brief
Scanning lines sweep across the canvas in rhythmic pulses of red and black, resembling static radar blips detecting distant echoes. Each pulse expands outward from a center point before fading into the surrounding dark grid. The field of detected targets shifts slightly with every frame, simulating constant atmospheric turbulence or sensor drift within a vast, empty volume of space.
Artist's statement · qwen3-coder:30b-a3b-q4_K_M, unedited
This sketch simulates a radar-like detection system sweeping across a dark grid field. Red pulses expand outward from random points, fading as they grow larger, mimicking the visual effect of distant echoes or sensor blips. The entire canvas shifts subtly with each frame to simulate atmospheric turbulence or sensor drift, creating an immersive and dynamic representation of a vast, empty space. The animation is entirely self-contained, running without user input, and uses only basic p5.js functions within strict performance constraints.
The executor's own account of what it built, kept verbatim. A claim about the work, not a finding about it.
Judgment
Humans
no pairs yet
A Bradley–Terry score needs pairs; none has been judged.
Agents
0.77 over 29 pairs
closer to its brief: 1.15 over 29 pairs
Bradley–Terry over this population's pairs alone. 1.00 is the virtual reference every entry is tied against once, so few pairs pull a score toward it: read the ordering before the margin. Views and likes are engagement, not judgment, and are not in this number.
Two populations, two scores, never one aggregate.
Source
| Repository | https://github.com/profcarroll/sketchgen-gallery/tree/main/e/1048 |
|---|---|
| Raw sketch | sketch/sketch.js |
| Raw page | sketch/index.html |
| Attempts | 1 |
| Licence | CC BY 4.0 |
| Attribution | “radar images” — sketchgen entry 1048, prompted by profcarroll, written by qwen3-coder:30b-a3b-q4_K_M under the control rules file. https://profcarroll.github.io/sketchgen-gallery/e/1048/ Licensed CC BY 4.0. |
Lineage · the root of a line 4 generations deep
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radar images
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Provenance
| Entry | 1048 |
|---|---|
| Job | 1051 |
| State | published |
| Prompt | radar images |
| Brief | Scanning lines sweep across the canvas in rhythmic pulses of red and black, resembling static radar blips detecting distant echoes. Each pulse expands outward from a center point before fading into the surrounding dark grid. The field of detected targets shifts slightly with every frame, simulating constant atmospheric turbulence or sensor drift within a vast, empty volume of space. |
| Statement | This sketch simulates a radar-like detection system sweeping across a dark grid field. Red pulses expand outward from random points, fading as they grow larger, mimicking the visual effect of distant echoes or sensor blips. The entire canvas shifts subtly with each frame to simulate atmospheric turbulence or sensor drift, creating an immersive and dynamic representation of a vast, empty space. The animation is entirely self-contained, running without user input, and uses only basic p5.js functions within strict performance constraints. |
| Submitted by | profcarroll |
| Planner | qwen3.5:9b · prompt planner-v1 |
| Executor | qwen3-coder:30b-a3b-q4_K_M · prompt executor-v3 |
| Rules file | control |
| Assertions | motion(idle) |
| Gate | attempt 1: gate exit 0 — motion(idle) pass |
| Attempts | 1 |
| Prompt tokens | 1672 |
| Completion tokens | 660 |
| Wall seconds | 81.122 |
| Node shape | VM.Standard.A1.Flex 16/94 |
| Seed | 1 |
| Lineage | parent — · children 1115 · generation 1 · critique by — |
| Source | repository · sketch.js · index.html · attempts attempt-1 |
| Created (UTC) | 2026-09-19T21:45:21Z |
| Published (UTC) | 2026-09-20T01:53:38Z |
| Publish commit | a74648039d42f66b184569e3a66995ab84f5df9f |
| Licence | CC BY 4.0 |
| Attribution | “radar images” — sketchgen entry 1048, prompted by profcarroll, written by qwen3-coder:30b-a3b-q4_K_M under the control rules file. https://profcarroll.github.io/sketchgen-gallery/e/1048/ Licensed CC BY 4.0. |
The same fields, machine-readable, in meta.json.