diff --git a/runs/final_20260112_084335/README.md b/runs/final_20260112_084335/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..1e3dc44173970dfefae2b65a97ce73dd9b0fcf6e
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+++ b/runs/final_20260112_084335/README.md
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+# Frozen Run Bundle: final_20260112_084335
+
+This directory contains the complete evaluation outputs for the SpatialBench-UC paper. All results can be reproduced from these artifacts **without regenerating images**.
+
+## Contents
+
+### Per-method outputs
+
+Each method directory (`sd15_promptonly/`, `sd15_boxdiff/`, `sd14_gligen/`) contains:
+
+| File | Description |
+|------|-------------|
+| `manifest.jsonl` | Prompt-to-image mapping (image paths excluded from git) |
+| `gen_config.yaml` | Generation configuration used |
+| `eval/per_sample.jsonl` | Per-image checker outputs (calibrated) |
+| `eval/metrics.json` | Aggregate metrics |
+| `eval/checker_config.yaml` | Checker configuration |
+| `eval/provenance.json` | Environment and version info |
+| `eval_precal_*/` | Uncalibrated checker outputs (before calibration) |
+
+**Note**: `images/` and `eval/overlays/` directories are excluded from git due to size (~2.4k images per method). The per-sample JSONL files contain all information needed to reproduce tables and plots.
+
+### Reports
+
+```
+reports/
+├── v1_calibrated_20260116_113552/ # Calibrated report
+│ ├── tables/*.csv # Exported CSV tables
+│ ├── assets/*.png # Plots
+│ ├── index.html # HTML report
+│ └── report_meta.json # Provenance
+└── v1_finalfix_20260114_143137/ # Pre-calibration report
+```
+
+### Human audit
+
+```
+audits/v1/
+├── sample.csv # 200 stratified samples for audit
+├── labels_filled.json # Human verdicts (PASS/FAIL/UNDECIDABLE)
+├── labels_filled.csv # Same, in CSV format
+├── analysis_calibrated/ # Metrics computed on calibrated outputs
+├── analysis_uncalibrated/ # Metrics computed on uncalibrated outputs
+└── audit_interface.html # HTML interface used for labeling
+```
+
+### Data snapshot
+
+```
+data/
+├── prompts/v1.0.1/ # Versioned prompts (with SHA256)
+└── objects/ # COCO vocabulary subset
+```
+
+## Reproducing paper tables
+
+From the repository root:
+
+```bash
+# Regenerate report
+python -m spatialbench_uc.report \
+ --config configs/report_v1.yaml \
+ --eval-subdir eval
+
+# Recompute audit metrics
+python scripts/recompute_audit_metrics_from_eval_jsonl.py \
+ --sample runs/final_20260112_084335/audits/v1/sample.csv \
+ --labels runs/final_20260112_084335/audits/v1/labels_filled.json \
+ --out runs/final_20260112_084335/audits/v1/analysis_calibrated \
+ --eval-subdir eval \
+ --tau-sweep unique
+```
+
+## Methods evaluated
+
+| Method | Model | Description |
+|--------|-------|-------------|
+| `sd15_promptonly` | Stable Diffusion 1.5 | Text-only generation |
+| `sd15_boxdiff` | Stable Diffusion 1.5 + BoxDiff | Box-constrained attention |
+| `sd14_gligen` | GLIGEN (SD 1.4 base) | Grounded generation |
+
+All methods: 200 prompts x 4 seeds = 800 images per method.
diff --git a/runs/final_20260112_084335/audits/v1/analysis_calibrated/audit_metrics.json b/runs/final_20260112_084335/audits/v1/analysis_calibrated/audit_metrics.json
new file mode 100644
index 0000000000000000000000000000000000000000..3815bad0898e14c1dd050457e2c410a4aa499faa
--- /dev/null
+++ b/runs/final_20260112_084335/audits/v1/analysis_calibrated/audit_metrics.json
@@ -0,0 +1,782 @@
+{
+ "timestamp_utc": "2026-01-19T10:58:07.595275+00:00",
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+ },
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+ "confusion_matrix": {
+ "PASS": {
+ "PASS": 51,
+ "FAIL": 1
+ },
+ "FAIL": {
+ "PASS": 2,
+ "FAIL": 17
+ }
+ },
+ "undecidable_checker": 109,
+ "undecidable_human": 95,
+ "total_samples": 200,
+ "decided_samples": 71,
+ "true_positives": 51,
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\ No newline at end of file
diff --git a/runs/final_20260112_084335/audits/v1/analysis_calibrated/risk_coverage.png b/runs/final_20260112_084335/audits/v1/analysis_calibrated/risk_coverage.png
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+version https://git-lfs.github.com/spec/v1
+oid sha256:1681cb060a41e0d5ca77aa9c33f34d8d1db428cd469abb071aea8acdb401ae97
+size 34553
diff --git a/runs/final_20260112_084335/audits/v1/analysis_calibration/README.md b/runs/final_20260112_084335/audits/v1/analysis_calibration/README.md
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index 0000000000000000000000000000000000000000..3385e2ad6c0126e3522e3f295b12f66f5bc7461a
--- /dev/null
+++ b/runs/final_20260112_084335/audits/v1/analysis_calibration/README.md
@@ -0,0 +1,17 @@
+## `audits/v1/analysis_calibration/` (calibration selection metadata)
+
+This directory contains the **grid-search calibration output** used to select checker parameters on the audited subset.
+
+- **Primary artifact**: `audit_metrics.json`
+ - `calibration.best_parameters`: selected \((m, t_{det}, \tau)\)
+ - `calibration.best_metrics`: objective terms at the selected \(\tau\)
+
+### Important note about curves / confusion matrices
+
+For clarity, the audit analyses are split by evaluation variant:
+
+- **Uncalibrated checker analysis** (risk--coverage + confusion): `audits/v1/analysis_uncalibrated/`
+- **Calibrated checker analysis** (risk--coverage + confusion): `audits/v1/analysis_calibrated/`
+
+The presence of `risk_coverage.png` here is historical and should not be treated as the calibrated curve.
+
diff --git a/runs/final_20260112_084335/audits/v1/analysis_calibration/audit_metrics.json b/runs/final_20260112_084335/audits/v1/analysis_calibration/audit_metrics.json
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+ "score": 0.3503030303030303
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+}
\ No newline at end of file
diff --git a/runs/final_20260112_084335/audits/v1/analysis_calibration/risk_coverage.png b/runs/final_20260112_084335/audits/v1/analysis_calibration/risk_coverage.png
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+ "n_samples_in_sample_csv": 200,
+ "n_samples_with_eval_results": 200,
+ "n_samples_with_human_labels": 200
+}
\ No newline at end of file
diff --git a/runs/final_20260112_084335/audits/v1/analysis_uncalibrated/risk_coverage.png b/runs/final_20260112_084335/audits/v1/analysis_uncalibrated/risk_coverage.png
new file mode 100644
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+size 36667
diff --git a/runs/final_20260112_084335/audits/v1/audit_interface.html b/runs/final_20260112_084335/audits/v1/audit_interface.html
new file mode 100644
index 0000000000000000000000000000000000000000..214f7be69fbfbde6ba7a727b13fc4b4dd16de419
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+++ b/runs/final_20260112_084335/audits/v1/audit_interface.html
@@ -0,0 +1,3295 @@
+
+
+
+ SpatialBench-UC Human Audit
+
+
+
+
+
+ SpatialBench-UC Human Audit
+
+
+
+
+
+
Original Image
+
+
+
+
Overlay (with detections)
+
+
+
+
+
+
+
+
Export Labels
+
Labels are auto-saved to browser localStorage. Export when complete:
+
Export to labels_filled.json
+
Export to labels_filled.csv
+
+
SpatialBench-UC Evaluation Report
+
+
+
+
+
+
+ Summary
+
+
+
+ Run
+ Samples
+ Pass Rate
+ Coverage
+ Best-of-K Pass
+ Mean Conf.
+
+
+
+
+
+ sd15_promptonly 800
+ 11.8%
+ 23.8%
+ 34.0%
+ 0.206
+
+
+
+ sd15_boxdiff 800
+ 40.4%
+ 42.5%
+ 76.0%
+ 0.395
+
+
+
+ sd14_gligen 800
+ 51.6%
+ 52.0%
+ 78.5%
+ 0.506
+
+
+
+
+
+
+
+
+ Pass Rate Comparison
+
+ Figure 1. Overall pass rate comparison across runs.
+
+
+
+
+
+ Verdict Distribution
+
+ sd15_promptonly
+
+
+
+
+
+
49.5%
+
Pass | Decided
+
+
sd15_boxdiff
+
+
+
+
+
+
95.0%
+
Pass | Decided
+
+
sd14_gligen
+
+
+
+
+
+
99.3%
+
Pass | Decided
+
+
+
+
+
+ Pass Rate by Relation
+
+ Figure 2. Pass rate breakdown by spatial relation.
+
+
+
+
+
+ Relation
+
+ sd15_promptonly
+
+ sd15_boxdiff
+
+ sd14_gligen
+
+
+
+
+
+
+ above
+
+
+
+ 16.5%
+
+
+
+
+
+ 42.0%
+
+
+
+
+
+ 52.5%
+
+
+
+
+
+
+ below
+
+
+
+ 14.0%
+
+
+
+
+
+ 38.5%
+
+
+
+
+
+ 49.0%
+
+
+
+
+
+
+ left of
+
+
+
+ 7.5%
+
+
+
+
+
+ 40.0%
+
+
+
+
+
+ 51.5%
+
+
+
+
+
+
+ right of
+
+
+
+ 9.0%
+
+
+
+
+
+ 41.0%
+
+
+
+
+
+ 53.5%
+
+
+
+
+
+
+
+
+
+
+
+ Best-of-K Analysis (K=4)
+ A prompt passes if any of its K generated images pass.
+
+
+
+ Run
+ Prompts
+ Pass
+ Fail
+ Undecidable
+ Coverage
+
+
+
+
+
+ sd15_promptonly
+ 200
+ 68
+ 0
+ 132
+ 34.0%
+
+
+
+ sd15_boxdiff
+ 200
+ 152
+ 1
+ 47
+ 76.5%
+
+
+
+ sd14_gligen
+ 200
+ 157
+ 0
+ 43
+ 78.5%
+
+
+
+
+
+
+
+ Counterfactual Consistency
+ Pairs of logically equivalent prompts (e.g., "A left of B" ↔ "B right of A") should produce consistent results.
+
+
+
+ Figure 3. Counterfactual pair consistency breakdown.
+
+
+
+
+
+
+ Run
+ Pairs
+ Both Pass
+ One-Sided
+ Both Fail
+ Undecidable
+
+
+
+
+
+ sd15_promptonly
+ 100
+ 19.0%
+ 0.0%
+ 0.0%
+ 81.0% (81)
+
+
+
+ sd15_boxdiff
+ 100
+ 66.0%
+ 0.0%
+ 0.0%
+ 34.0% (34)
+
+
+
+ sd14_gligen
+ 100
+ 74.0%
+ 0.0%
+ 0.0%
+ 26.0% (26)
+
+
+
+
+
+
+
+
+ Confidence Distribution
+
+ Figure 4. Distribution of confidence scores for decided samples.
+
+
+
+
+
+
+ Coverage vs Accuracy Trade-off
+ Coverage measures the fraction of samples with decisive verdicts (PASS or FAIL). Higher coverage with maintained accuracy indicates better calibration.
+
+ Figure 5. Coverage (% decided) vs Conditional Pass Rate (accuracy on decided samples).
+
+
+
+
+
+ SpatialBench-UC Report • 2026-01-16 11:56 UTC
+
+
+
\ No newline at end of file
diff --git a/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/report_config.yaml b/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/report_config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..a99d2996d6ecb5c38247f4b00b317343d58ee86e
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/report_config.yaml
@@ -0,0 +1,125 @@
+# =============================================================================
+# Report Generation Configuration v1
+# =============================================================================
+# Configuration for generating HTML reports with visualizations.
+#
+# Usage:
+# python -m spatialbench_uc.report \
+# --runs runs/sd15_promptonly runs/sd15_controlnet \
+# --config configs/report_v1.yaml \
+# --out reports/v1
+
+# Report metadata
+report:
+ title: "SpatialBench-UC Evaluation Report"
+ version: "v1"
+ description: "Spatial relationship accuracy comparison: Prompt-Only vs ControlNet"
+
+# Runs to include in comparison
+# (Can be overridden via CLI --runs)
+runs:
+ - name: "SD 1.5 Prompt-Only"
+ path: "runs/sd15_promptonly"
+ color: "#4285F4" # Blue
+
+ - name: "SD 1.5 + ControlNet"
+ path: "runs/sd15_controlnet"
+ color: "#34A853" # Green
+
+# Metrics to compute and display
+metrics:
+ # Per-image metrics
+ per_image:
+ - coverage
+ - pass_rate_overall
+ - pass_rate_conditional
+ - undecidable_rate
+
+ # Best-of-K metrics (per prompt)
+ best_of_k:
+ k: 4
+ metrics:
+ - prompt_pass_rate
+ - prompt_coverage
+
+ # Counterfactual consistency
+ counterfactual:
+ - both_pass_rate
+ - one_sided_rate
+ - both_fail_rate
+
+# Breakdown dimensions
+breakdowns:
+ - by_relation
+ - by_method
+ - by_object_pair # Top 10 failing pairs
+
+# Visualizations to generate
+visualizations:
+ # Bar chart: pass rate by method
+ pass_rate_comparison:
+ type: bar
+ title: "Pass Rate by Method"
+ filename: "pass_rate_comparison.png"
+
+ # Bar chart: pass rate by relation
+ pass_rate_by_relation:
+ type: grouped_bar
+ title: "Pass Rate by Spatial Relation"
+ filename: "pass_rate_by_relation.png"
+
+ # Histogram: confidence distribution
+ confidence_distribution:
+ type: histogram
+ title: "Confidence Score Distribution"
+ filename: "confidence_distribution.png"
+ bins: 20
+
+ # Bar chart: counterfactual consistency
+ counterfactual_consistency:
+ type: stacked_bar
+ title: "Counterfactual Consistency"
+ filename: "counterfactual_consistency.png"
+
+ # Scatter: coverage vs accuracy trade-off
+ coverage_accuracy:
+ type: scatter
+ title: "Coverage vs Accuracy Trade-off"
+ filename: "coverage_accuracy.png"
+
+# Example images to include
+examples:
+ # Top confident failures (for debugging)
+ confident_fails:
+ count: 10
+ sort_by: confidence
+ filter: verdict == "FAIL"
+
+ # Most uncertain samples
+ uncertain:
+ count: 10
+ sort_by: confidence
+ order: ascending
+ filter: verdict == "UNDECIDABLE"
+
+ # One-sided counterfactual pairs
+ one_sided:
+ count: 10
+ description: "Pairs where one prompt passed and the other failed"
+
+# Output configuration
+output:
+ # Main HTML file
+ index_file: "index.html"
+
+ # Assets directory (images)
+ assets_dir: "assets"
+
+ # Tables directory (CSV exports)
+ tables_dir: "tables"
+
+ # Examples directory
+ examples_dir: "examples"
+
+ # Template file (Jinja2)
+ template: "templates/report.html.j2"
diff --git a/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/report_config_effective.yaml b/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/report_config_effective.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5ee6ee8674d324f4e59cbaf85165e6c90d1b7290
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/report_config_effective.yaml
@@ -0,0 +1,125 @@
+# =============================================================================
+# Report Generation Configuration v1 (effective)
+# =============================================================================
+# This file captures the *resolved* run list used for this report.
+# Prefer this over report_config.yaml when reproducing the report from the bundle.
+
+# Report metadata
+report:
+ title: "SpatialBench-UC Evaluation Report"
+ version: "v1"
+ description: "Spatial relationship checker metrics comparison: prompt-only vs BoxDiff vs GLIGEN (calibrated)"
+
+# Which evaluation subdirectory to read inside each run directory
+eval_subdir: "eval"
+
+# Runs included in this report (resolved)
+runs:
+ - name: "sd15_promptonly"
+ path: "runs/final_20260112_084335/sd15_promptonly"
+ color: "#2563eb"
+ - name: "sd15_boxdiff"
+ path: "runs/final_20260112_084335/sd15_boxdiff"
+ color: "#16a34a"
+ - name: "sd14_gligen"
+ path: "runs/final_20260112_084335/sd14_gligen"
+ color: "#dc2626"
+
+# Metrics to compute and display
+metrics:
+ # Per-image metrics
+ per_image:
+ - coverage
+ - pass_rate_overall
+ - pass_rate_conditional
+ - undecidable_rate
+
+ # Best-of-K metrics (per prompt)
+ best_of_k:
+ k: 4
+ metrics:
+ - prompt_pass_rate
+ - prompt_coverage
+
+ # Counterfactual consistency
+ counterfactual:
+ - both_pass_rate
+ - one_sided_rate
+ - both_fail_rate
+
+# Breakdown dimensions
+breakdowns:
+ - by_relation
+ - by_method
+ - by_object_pair # Top 10 failing pairs
+
+# Visualizations to generate
+visualizations:
+ # Bar chart: pass rate by method
+ pass_rate_comparison:
+ type: bar
+ title: "Pass Rate by Method"
+ filename: "pass_rate_comparison.png"
+
+ # Bar chart: pass rate by relation
+ pass_rate_by_relation:
+ type: grouped_bar
+ title: "Pass Rate by Spatial Relation"
+ filename: "pass_rate_by_relation.png"
+
+ # Histogram: confidence distribution
+ confidence_distribution:
+ type: histogram
+ title: "Confidence Score Distribution"
+ filename: "confidence_distribution.png"
+ bins: 20
+
+ # Bar chart: counterfactual consistency
+ counterfactual_consistency:
+ type: stacked_bar
+ title: "Counterfactual Consistency"
+ filename: "counterfactual_consistency.png"
+
+ # Scatter: coverage vs accuracy trade-off
+ coverage_accuracy:
+ type: scatter
+ title: "Coverage vs Accuracy Trade-off"
+ filename: "coverage_accuracy.png"
+
+# Example images to include
+examples:
+ # Top confident failures (for debugging)
+ confident_fails:
+ count: 10
+ sort_by: confidence
+ filter: verdict == "FAIL"
+
+ # Most uncertain samples
+ uncertain:
+ count: 10
+ sort_by: confidence
+ order: ascending
+ filter: verdict == "UNDECIDABLE"
+
+ # One-sided counterfactual pairs
+ one_sided:
+ count: 10
+ description: "Pairs where one prompt passed and the other failed"
+
+# Output configuration
+output:
+ # Main HTML file
+ index_file: "index.html"
+
+ # Assets directory (images)
+ assets_dir: "assets"
+
+ # Tables directory (CSV exports)
+ tables_dir: "tables"
+
+ # Examples directory
+ examples_dir: "examples"
+
+ # Template file (Jinja2)
+ template: "templates/report.html.j2"
+
diff --git a/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/report_meta.json b/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/report_meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..6814d980e72cf6622a3570bda07d5af017fe619d
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/report_meta.json
@@ -0,0 +1,14 @@
+{
+ "timestamp_utc": "2026-01-16T11:56:43.297771+00:00",
+ "python_version": "3.11.10 (main, Sep 7 2024, 18:35:41) [GCC 11.4.0]",
+ "git_commit": "586dbf599cc2e705b4deda535745f5a98b3f0895",
+ "prompts_path": "data/prompts/v1.0.1/prompts.jsonl",
+ "prompts_sha256": "e13c0ed8f962acb7fed702c689e384184759f17317373bce0ef633667c244d8d",
+ "eval_subdir": "eval",
+ "k": 4,
+ "run_paths": [
+ "runs/final_20260112_084335/sd15_promptonly",
+ "runs/final_20260112_084335/sd15_boxdiff",
+ "runs/final_20260112_084335/sd14_gligen"
+ ]
+}
\ No newline at end of file
diff --git a/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/tables/by_relation.csv b/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/tables/by_relation.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e66da6868c75fe7c040e1b067a2554b971d115ce
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/tables/by_relation.csv
@@ -0,0 +1,4 @@
+run,above_pass_rate,below_pass_rate,left_of_pass_rate,right_of_pass_rate
+"sd15_promptonly",0.1650,0.1400,0.0750,0.0900
+"sd15_boxdiff",0.4200,0.3850,0.4000,0.4100
+"sd14_gligen",0.5250,0.4900,0.5150,0.5350
diff --git a/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/tables/counterfactual.csv b/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/tables/counterfactual.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a5e456fd4b8211a08426994209d87a342da3208b
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/tables/counterfactual.csv
@@ -0,0 +1,4 @@
+run,pairs,both_pass_rate,one_sided_rate,both_fail_rate,undecidable_rate,undecidable_count
+"sd15_promptonly",100,0.1900,0.0000,0.0000,0.8100,81
+"sd15_boxdiff",100,0.6600,0.0000,0.0000,0.3400,34
+"sd14_gligen",100,0.7400,0.0000,0.0000,0.2600,26
diff --git a/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/tables/main_results.csv b/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/tables/main_results.csv
new file mode 100644
index 0000000000000000000000000000000000000000..8c570d9344ede030f74c07be8143cc9ec22e5341
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/tables/main_results.csv
@@ -0,0 +1,4 @@
+run,samples,pass_rate,coverage,pass_rate_cond,prompt_pass_rate,mean_conf
+"sd15_promptonly",800,0.1175,0.2375,0.4947,0.3400,0.2059
+"sd15_boxdiff",800,0.4037,0.4250,0.9500,0.7600,0.3948
+"sd14_gligen",800,0.5162,0.5200,0.9928,0.7850,0.5059
diff --git a/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/tables/prompt_metrics.csv b/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/tables/prompt_metrics.csv
new file mode 100644
index 0000000000000000000000000000000000000000..b10037e455b507bdc34cf05b9f8b564cef649832
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_calibrated_20260116_113552/tables/prompt_metrics.csv
@@ -0,0 +1,4 @@
+run,total_prompts,best_of_k_pass_rate,all_of_k_pass_rate
+"sd15_promptonly",200,0.3400,0.0100
+"sd15_boxdiff",200,0.7600,0.0850
+"sd14_gligen",200,0.7850,0.2150
diff --git a/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/assets/confidence_distribution.png b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/assets/confidence_distribution.png
new file mode 100644
index 0000000000000000000000000000000000000000..2640a3dbff169091ba9ba7b25bcf50e81e4ae484
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/assets/confidence_distribution.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03f464ec81abcca6cfe44915efdab08532ef5905bcb7cd5bf938833ba9dc2971
+size 42063
diff --git a/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/assets/counterfactual_consistency.png b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/assets/counterfactual_consistency.png
new file mode 100644
index 0000000000000000000000000000000000000000..c6609353ab0264ce758b3dc1e506f989a7924bc3
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/assets/counterfactual_consistency.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7fd664b848420cf2049dfaad1ff8244377dec5e8474fc6c18f0f444fe4efb9a5
+size 48865
diff --git a/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/assets/coverage_accuracy.png b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/assets/coverage_accuracy.png
new file mode 100644
index 0000000000000000000000000000000000000000..8d07f630998452e0d6b7fd99629fee3b892edee6
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/assets/coverage_accuracy.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:74b67f5b27419dc98f18cb4c6f42c4060c90b61d129079088ea42291612361fa
+size 69312
diff --git a/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/assets/pass_rate_by_relation.png b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/assets/pass_rate_by_relation.png
new file mode 100644
index 0000000000000000000000000000000000000000..95e137443931b3dc64bf46b5599e5cd7b55192ec
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/assets/pass_rate_by_relation.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fb669e5d4e5e631f6b89c8e451762ce9c6a7e26e0758008573a2bfd6c39bec30
+size 40267
diff --git a/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/assets/pass_rate_comparison.png b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/assets/pass_rate_comparison.png
new file mode 100644
index 0000000000000000000000000000000000000000..0abe96468c1e9ce48026862f80103f214010dcb7
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/assets/pass_rate_comparison.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2ea215a849dc18a0abc7408ce1ca983468f719c7701a46fb52e5cecf726611e4
+size 40905
diff --git a/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/index.html b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/index.html
new file mode 100644
index 0000000000000000000000000000000000000000..edd076d5580cc01761949e1d73d7d3c1e4d67536
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/index.html
@@ -0,0 +1,523 @@
+
+
+
+ SpatialBench-UC Evaluation Report
+
+
+
+
+
+
+ Summary
+
+
+
+ Run
+ Samples
+ Pass Rate
+ Coverage
+ Best-of-K Pass
+ Mean Conf.
+
+
+
+
+
+ sd15_promptonly 800
+ 14.5%
+ 28.4%
+ 40.5%
+ 0.246
+
+
+
+ sd15_boxdiff 800
+ 41.1%
+ 43.4%
+ 76.5%
+ 0.410
+
+
+
+ sd14_gligen 800
+ 51.7%
+ 52.1%
+ 78.5%
+ 0.507
+
+
+
+
+
+
+
+
+ Pass Rate Comparison
+
+ Figure 1. Overall pass rate comparison across runs.
+
+
+
+
+
+ Verdict Distribution
+
+ sd15_promptonly
+
+
+
+
+
+
51.1%
+
Pass | Decided
+
+
sd15_boxdiff
+
+
+
+
+
+
94.8%
+
Pass | Decided
+
+
sd14_gligen
+
+
+
+
+
+
99.3%
+
Pass | Decided
+
+
+
+
+
+ Pass Rate by Relation
+
+ Figure 2. Pass rate breakdown by spatial relation.
+
+
+
+
+
+ Relation
+
+ sd15_promptonly
+
+ sd15_boxdiff
+
+ sd14_gligen
+
+
+
+
+
+
+ above
+
+
+
+ 20.5%
+
+
+
+
+
+ 42.5%
+
+
+
+
+
+ 52.5%
+
+
+
+
+
+
+ below
+
+
+
+ 16.5%
+
+
+
+
+
+ 39.5%
+
+
+
+
+
+ 49.5%
+
+
+
+
+
+
+ left of
+
+
+
+ 10.5%
+
+
+
+
+
+ 40.5%
+
+
+
+
+
+ 51.5%
+
+
+
+
+
+
+ right of
+
+
+
+ 10.5%
+
+
+
+
+
+ 42.0%
+
+
+
+
+
+ 53.5%
+
+
+
+
+
+
+
+
+
+
+
+ Best-of-K Analysis (K=4)
+ A prompt passes if any of its K generated images pass.
+
+
+
+ Run
+ Prompts
+ Pass
+ Fail
+ Undecidable
+ Coverage
+
+
+
+
+
+ sd15_promptonly
+ 200
+ 81
+ 0
+ 119
+ 40.5%
+
+
+
+ sd15_boxdiff
+ 200
+ 153
+ 1
+ 46
+ 77.0%
+
+
+
+ sd14_gligen
+ 200
+ 157
+ 0
+ 43
+ 78.5%
+
+
+
+
+
+
+
+ Counterfactual Consistency
+ Pairs of logically equivalent prompts (e.g., "A left of B" ↔ "B right of A") should produce consistent results.
+
+
+
+ Figure 3. Counterfactual pair consistency breakdown.
+
+
+
+
+
+
+ Run
+ Pairs
+ Both Pass
+ One-Sided
+ Both Fail
+ Undecidable
+
+
+
+
+
+ sd15_promptonly
+ 100
+ 24.0%
+ 0.0%
+ 0.0%
+ 76.0% (76)
+
+
+
+ sd15_boxdiff
+ 100
+ 67.0%
+ 0.0%
+ 0.0%
+ 33.0% (33)
+
+
+
+ sd14_gligen
+ 100
+ 74.0%
+ 0.0%
+ 0.0%
+ 26.0% (26)
+
+
+
+
+
+
+
+
+ Confidence Distribution
+
+ Figure 4. Distribution of confidence scores for decided samples.
+
+
+
+
+
+
+ Coverage vs Accuracy Trade-off
+ Coverage measures the fraction of samples with decisive verdicts (PASS or FAIL). Higher coverage with maintained accuracy indicates better calibration.
+
+ Figure 5. Coverage (% decided) vs Conditional Pass Rate (accuracy on decided samples).
+
+
+
+
+
+ SpatialBench-UC Report • 2026-01-14 14:32 UTC
+
+
+
\ No newline at end of file
diff --git a/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/report_config.yaml b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/report_config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..a99d2996d6ecb5c38247f4b00b317343d58ee86e
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/report_config.yaml
@@ -0,0 +1,125 @@
+# =============================================================================
+# Report Generation Configuration v1
+# =============================================================================
+# Configuration for generating HTML reports with visualizations.
+#
+# Usage:
+# python -m spatialbench_uc.report \
+# --runs runs/sd15_promptonly runs/sd15_controlnet \
+# --config configs/report_v1.yaml \
+# --out reports/v1
+
+# Report metadata
+report:
+ title: "SpatialBench-UC Evaluation Report"
+ version: "v1"
+ description: "Spatial relationship accuracy comparison: Prompt-Only vs ControlNet"
+
+# Runs to include in comparison
+# (Can be overridden via CLI --runs)
+runs:
+ - name: "SD 1.5 Prompt-Only"
+ path: "runs/sd15_promptonly"
+ color: "#4285F4" # Blue
+
+ - name: "SD 1.5 + ControlNet"
+ path: "runs/sd15_controlnet"
+ color: "#34A853" # Green
+
+# Metrics to compute and display
+metrics:
+ # Per-image metrics
+ per_image:
+ - coverage
+ - pass_rate_overall
+ - pass_rate_conditional
+ - undecidable_rate
+
+ # Best-of-K metrics (per prompt)
+ best_of_k:
+ k: 4
+ metrics:
+ - prompt_pass_rate
+ - prompt_coverage
+
+ # Counterfactual consistency
+ counterfactual:
+ - both_pass_rate
+ - one_sided_rate
+ - both_fail_rate
+
+# Breakdown dimensions
+breakdowns:
+ - by_relation
+ - by_method
+ - by_object_pair # Top 10 failing pairs
+
+# Visualizations to generate
+visualizations:
+ # Bar chart: pass rate by method
+ pass_rate_comparison:
+ type: bar
+ title: "Pass Rate by Method"
+ filename: "pass_rate_comparison.png"
+
+ # Bar chart: pass rate by relation
+ pass_rate_by_relation:
+ type: grouped_bar
+ title: "Pass Rate by Spatial Relation"
+ filename: "pass_rate_by_relation.png"
+
+ # Histogram: confidence distribution
+ confidence_distribution:
+ type: histogram
+ title: "Confidence Score Distribution"
+ filename: "confidence_distribution.png"
+ bins: 20
+
+ # Bar chart: counterfactual consistency
+ counterfactual_consistency:
+ type: stacked_bar
+ title: "Counterfactual Consistency"
+ filename: "counterfactual_consistency.png"
+
+ # Scatter: coverage vs accuracy trade-off
+ coverage_accuracy:
+ type: scatter
+ title: "Coverage vs Accuracy Trade-off"
+ filename: "coverage_accuracy.png"
+
+# Example images to include
+examples:
+ # Top confident failures (for debugging)
+ confident_fails:
+ count: 10
+ sort_by: confidence
+ filter: verdict == "FAIL"
+
+ # Most uncertain samples
+ uncertain:
+ count: 10
+ sort_by: confidence
+ order: ascending
+ filter: verdict == "UNDECIDABLE"
+
+ # One-sided counterfactual pairs
+ one_sided:
+ count: 10
+ description: "Pairs where one prompt passed and the other failed"
+
+# Output configuration
+output:
+ # Main HTML file
+ index_file: "index.html"
+
+ # Assets directory (images)
+ assets_dir: "assets"
+
+ # Tables directory (CSV exports)
+ tables_dir: "tables"
+
+ # Examples directory
+ examples_dir: "examples"
+
+ # Template file (Jinja2)
+ template: "templates/report.html.j2"
diff --git a/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/report_config_effective.yaml b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/report_config_effective.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8df84838d7844cb44532f4c7f5ae63270173fbef
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/report_config_effective.yaml
@@ -0,0 +1,125 @@
+# =============================================================================
+# Report Generation Configuration v1 (effective)
+# =============================================================================
+# This file captures the *resolved* run list used for this report.
+# Prefer this over report_config.yaml when reproducing the report from the bundle.
+
+# Report metadata
+report:
+ title: "SpatialBench-UC Evaluation Report"
+ version: "v1"
+ description: "Spatial relationship checker metrics comparison: prompt-only vs BoxDiff vs GLIGEN (uncalibrated)"
+
+# Which evaluation subdirectory to read inside each run directory
+eval_subdir: "eval_precal_20260116_113552"
+
+# Runs included in this report (resolved)
+runs:
+ - name: "sd15_promptonly"
+ path: "runs/final_20260112_084335/sd15_promptonly"
+ color: "#2563eb"
+ - name: "sd15_boxdiff"
+ path: "runs/final_20260112_084335/sd15_boxdiff"
+ color: "#16a34a"
+ - name: "sd14_gligen"
+ path: "runs/final_20260112_084335/sd14_gligen"
+ color: "#dc2626"
+
+# Metrics to compute and display
+metrics:
+ # Per-image metrics
+ per_image:
+ - coverage
+ - pass_rate_overall
+ - pass_rate_conditional
+ - undecidable_rate
+
+ # Best-of-K metrics (per prompt)
+ best_of_k:
+ k: 4
+ metrics:
+ - prompt_pass_rate
+ - prompt_coverage
+
+ # Counterfactual consistency
+ counterfactual:
+ - both_pass_rate
+ - one_sided_rate
+ - both_fail_rate
+
+# Breakdown dimensions
+breakdowns:
+ - by_relation
+ - by_method
+ - by_object_pair # Top 10 failing pairs
+
+# Visualizations to generate
+visualizations:
+ # Bar chart: pass rate by method
+ pass_rate_comparison:
+ type: bar
+ title: "Pass Rate by Method"
+ filename: "pass_rate_comparison.png"
+
+ # Bar chart: pass rate by relation
+ pass_rate_by_relation:
+ type: grouped_bar
+ title: "Pass Rate by Spatial Relation"
+ filename: "pass_rate_by_relation.png"
+
+ # Histogram: confidence distribution
+ confidence_distribution:
+ type: histogram
+ title: "Confidence Score Distribution"
+ filename: "confidence_distribution.png"
+ bins: 20
+
+ # Bar chart: counterfactual consistency
+ counterfactual_consistency:
+ type: stacked_bar
+ title: "Counterfactual Consistency"
+ filename: "counterfactual_consistency.png"
+
+ # Scatter: coverage vs accuracy trade-off
+ coverage_accuracy:
+ type: scatter
+ title: "Coverage vs Accuracy Trade-off"
+ filename: "coverage_accuracy.png"
+
+# Example images to include
+examples:
+ # Top confident failures (for debugging)
+ confident_fails:
+ count: 10
+ sort_by: confidence
+ filter: verdict == "FAIL"
+
+ # Most uncertain samples
+ uncertain:
+ count: 10
+ sort_by: confidence
+ order: ascending
+ filter: verdict == "UNDECIDABLE"
+
+ # One-sided counterfactual pairs
+ one_sided:
+ count: 10
+ description: "Pairs where one prompt passed and the other failed"
+
+# Output configuration
+output:
+ # Main HTML file
+ index_file: "index.html"
+
+ # Assets directory (images)
+ assets_dir: "assets"
+
+ # Tables directory (CSV exports)
+ tables_dir: "tables"
+
+ # Examples directory
+ examples_dir: "examples"
+
+ # Template file (Jinja2)
+ template: "templates/report.html.j2"
+
diff --git a/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/report_meta.json b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/report_meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..0610d550cfc1d57e928ceb2ed97600bc34f87122
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/report_meta.json
@@ -0,0 +1,14 @@
+{
+ "timestamp_utc": "2026-01-14T14:32:30.883366+00:00",
+ "python_version": "3.11.10 (main, Sep 7 2024, 18:35:41) [GCC 11.4.0]",
+ "git_commit": "586dbf599cc2e705b4deda535745f5a98b3f0895",
+ "prompts_path": "data/prompts/v1.0.1/prompts.jsonl",
+ "prompts_sha256": "e13c0ed8f962acb7fed702c689e384184759f17317373bce0ef633667c244d8d",
+ "eval_subdir": "eval_precal_20260116_113552",
+ "k": 4,
+ "run_paths": [
+ "runs/final_20260112_084335/sd15_promptonly",
+ "runs/final_20260112_084335/sd15_boxdiff",
+ "runs/final_20260112_084335/sd14_gligen"
+ ]
+}
\ No newline at end of file
diff --git a/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/tables/by_relation.csv b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/tables/by_relation.csv
new file mode 100644
index 0000000000000000000000000000000000000000..f858991970e8641c87fbdaf3cf460a8dabe1243d
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/tables/by_relation.csv
@@ -0,0 +1,4 @@
+run,above_pass_rate,below_pass_rate,left_of_pass_rate,right_of_pass_rate
+"sd15_promptonly",0.2050,0.1650,0.1050,0.1050
+"sd15_boxdiff",0.4250,0.3950,0.4050,0.4200
+"sd14_gligen",0.5250,0.4950,0.5150,0.5350
diff --git a/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/tables/counterfactual.csv b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/tables/counterfactual.csv
new file mode 100644
index 0000000000000000000000000000000000000000..79236c196514954908ef4e147501e5352385da3f
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/tables/counterfactual.csv
@@ -0,0 +1,4 @@
+run,pairs,both_pass_rate,one_sided_rate,both_fail_rate,undecidable_rate,undecidable_count
+"sd15_promptonly",100,0.2400,0.0000,0.0000,0.7600,76
+"sd15_boxdiff",100,0.6700,0.0000,0.0000,0.3300,33
+"sd14_gligen",100,0.7400,0.0000,0.0000,0.2600,26
diff --git a/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/tables/main_results.csv b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/tables/main_results.csv
new file mode 100644
index 0000000000000000000000000000000000000000..1fa3f001df56ee6f092139a5d1174c316c0c0dbd
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/tables/main_results.csv
@@ -0,0 +1,4 @@
+run,samples,pass_rate,coverage,pass_rate_cond,prompt_pass_rate,mean_conf
+"sd15_promptonly",800,0.1450,0.2838,0.5110,0.4050,0.2458
+"sd15_boxdiff",800,0.4113,0.4338,0.9481,0.7650,0.4099
+"sd14_gligen",800,0.5175,0.5212,0.9928,0.7850,0.5065
diff --git a/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/tables/prompt_metrics.csv b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/tables/prompt_metrics.csv
new file mode 100644
index 0000000000000000000000000000000000000000..326cc6071aa5ca55d853cd3eef75643e956b502a
--- /dev/null
+++ b/runs/final_20260112_084335/reports/v1_finalfix_20260114_143137/tables/prompt_metrics.csv
@@ -0,0 +1,4 @@
+run,total_prompts,best_of_k_pass_rate,all_of_k_pass_rate
+"sd15_promptonly",200,0.4050,0.0100
+"sd15_boxdiff",200,0.7650,0.0850
+"sd14_gligen",200,0.7850,0.2150
diff --git a/runs/final_20260112_084335/sd14_gligen/eval/checker_config.yaml b/runs/final_20260112_084335/sd14_gligen/eval/checker_config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8231f0c7972a4daaf28d380ceb64dc7fbefe8971
--- /dev/null
+++ b/runs/final_20260112_084335/sd14_gligen/eval/checker_config.yaml
@@ -0,0 +1,59 @@
+confidence:
+ geom_slope: 0.15
+ weights:
+ agreement: 0.1
+ detection: 0.4
+ geometry: 0.3
+ stability: 0.2
+detector:
+ primary:
+ params:
+ device: cuda
+ score_threshold: 0.5
+ type: fasterrcnn
+ secondary:
+ model_id: IDEA-Research/grounding-dino-base
+ params:
+ box_threshold: 0.35
+ device: cuda
+ text_threshold: 0.25
+ revision: 12bdfa3120f3e7ec7b434d90674b3396eccf88eb
+ type: grounding_dino
+geometry:
+ margin: 0.1
+output:
+ generate_overlays: true
+ metrics_file: metrics.json
+ overlay_style:
+ box_a_color:
+ - 255
+ - 0
+ - 0
+ box_b_color:
+ - 0
+ - 0
+ - 255
+ font_size: 16
+ text_color:
+ - 255
+ - 255
+ - 255
+ overlays_dir: overlays
+ results_file: per_sample.jsonl
+stability:
+ consistency_threshold: 0.5
+ enabled: true
+ perturbations:
+ - factor: 1.1
+ type: brightness
+ - factor: 0.9
+ type: brightness
+ - sigma: 1.0
+ type: gaussian_blur
+ - scale: 0.9
+ type: resize
+thresholds:
+ ambiguity_delta: 0.1
+ detection_score: 0.2
+ max_overlap_iou: 0.5
+ min_area_fraction: 0.005
diff --git a/runs/final_20260112_084335/sd14_gligen/eval/metrics.json b/runs/final_20260112_084335/sd14_gligen/eval/metrics.json
new file mode 100644
index 0000000000000000000000000000000000000000..1ef0a9d38ed2907c5380af29f3395fd7557af872
--- /dev/null
+++ b/runs/final_20260112_084335/sd14_gligen/eval/metrics.json
@@ -0,0 +1,63 @@
+{
+ "total_samples": 800,
+ "pass_count": 413,
+ "fail_count": 3,
+ "undecidable_count": 384,
+ "coverage": 0.52,
+ "pass_rate_overall": 0.51625,
+ "pass_rate_conditional": 0.9927884615384616,
+ "undecidable_rate": 0.48,
+ "mean_confidence": 0.5058742848429503,
+ "by_relation": {
+ "left_of": {
+ "count": 200,
+ "pass_count": 103,
+ "fail_count": 0,
+ "undecidable_count": 97,
+ "coverage": 0.515,
+ "pass_rate_overall": 0.515,
+ "pass_rate_conditional": 1.0
+ },
+ "right_of": {
+ "count": 200,
+ "pass_count": 107,
+ "fail_count": 2,
+ "undecidable_count": 91,
+ "coverage": 0.545,
+ "pass_rate_overall": 0.535,
+ "pass_rate_conditional": 0.981651376146789
+ },
+ "above": {
+ "count": 200,
+ "pass_count": 105,
+ "fail_count": 1,
+ "undecidable_count": 94,
+ "coverage": 0.53,
+ "pass_rate_overall": 0.525,
+ "pass_rate_conditional": 0.9905660377358491
+ },
+ "below": {
+ "count": 200,
+ "pass_count": 98,
+ "fail_count": 0,
+ "undecidable_count": 102,
+ "coverage": 0.49,
+ "pass_rate_overall": 0.49,
+ "pass_rate_conditional": 1.0
+ }
+ },
+ "undecidable_reasons": {
+ "missing": 306,
+ "ambiguous": 77,
+ "near_boundary": 1
+ },
+ "timestamp_utc": "2026-01-16T11:47:13.920204+00:00",
+ "manifest": "runs/final_20260112_084335/sd14_gligen/manifest.jsonl",
+ "config": "configs/checker_v1.yaml",
+ "code_version": {
+ "torch": "2.9.1+cu128",
+ "torchvision": "0.24.1+cu128",
+ "transformers": "4.57.3",
+ "git_commit": "586dbf59"
+ }
+}
\ No newline at end of file
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+{"sample_id": "sd14_gligen_v1_000199_seed0003", "prompt_id": "v1_000199", "relation": "below", "object_a": "pizza", "object_b": "bottle", "verdict_raw": "UNDECIDABLE", "verdict_reason": "missing: bottle", "conf": 0.0, "conf_components": {"detection": 0.0, "geometry": 0.0, "stability": 0.0, "agreement": 0.0}, "detectors": {"primary": {"type": "fasterrcnn", "detections": [{"label": "pizza", "score": 0.9986188411712646, "box_xyxy": [146.7382049560547, 350.4703063964844, 380.0836181640625, 489.5967102050781]}]}}, "selected": {"box_a_xyxy": null, "box_b_xyxy": null, "score_a": null, "score_b": null}, "geometry": {"delta": null, "margin": 0.1, "iou_ab": null}, "overlay_path": "overlays/sd14_gligen_v1_000199_seed0003.png"}
diff --git a/runs/final_20260112_084335/sd14_gligen/eval/provenance.json b/runs/final_20260112_084335/sd14_gligen/eval/provenance.json
new file mode 100644
index 0000000000000000000000000000000000000000..a11fc5b82eb426e7ce50a234c74218d3915a8e27
--- /dev/null
+++ b/runs/final_20260112_084335/sd14_gligen/eval/provenance.json
@@ -0,0 +1,22 @@
+{
+ "timestamp_utc": "2026-01-16T11:47:13.980410+00:00",
+ "python_version": "3.11.10 (main, Sep 7 2024, 18:35:41) [GCC 11.4.0]",
+ "platform": "Linux-6.8.0-84-generic-x86_64-with-glibc2.35",
+ "device_info": {
+ "device": "cuda",
+ "cuda_available": true,
+ "mps_available": false,
+ "torch_version": "2.9.1+cu128",
+ "cuda_device_name": "NVIDIA GeForce RTX 4090",
+ "cuda_device_count": 1,
+ "cuda_memory_gb": 23.53,
+ "cuda_capability": "8.9"
+ },
+ "git_commit": "586dbf599cc2e705b4deda535745f5a98b3f0895",
+ "library_versions": {
+ "torch": "2.9.1+cu128",
+ "torchvision": "0.24.1+cu128",
+ "transformers": "4.57.3",
+ "git_commit": "586dbf59"
+ }
+}
\ No newline at end of file
diff --git a/runs/final_20260112_084335/sd14_gligen/gen_config.yaml b/runs/final_20260112_084335/sd14_gligen/gen_config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..7e27c8c273ba3252b2a17b19e97bbbd93f196dc7
--- /dev/null
+++ b/runs/final_20260112_084335/sd14_gligen/gen_config.yaml
@@ -0,0 +1,109 @@
+# =============================================================================
+# SD 1.4 + GLIGEN Generation Configuration
+# =============================================================================
+# Baseline 3: GLIGEN-guided generation with bounding box grounding.
+# Research question: Does explicit spatial grounding improve accuracy?
+#
+# GLIGEN (Grounded-Language-to-Image Generation) enables controllable
+# image generation through bounding box grounding. Unlike ControlNet which
+# interprets visual edge maps, GLIGEN receives explicit "put object X in
+# region [x0, y0, x1, y1]" instructions.
+#
+# Usage:
+# python -m spatialbench_uc.generate \
+# --config configs/gen_sd15_gligen.yaml \
+# --prompts data/prompts/v1.0.0/prompts.jsonl \
+# --out runs/
+
+# Generator configuration
+generator:
+ # Registry type (see generators/registry.py)
+ type: gligen
+
+ # Model identifier (HuggingFace model ID)
+ # GLIGEN is based on SD 1.4, trained with object-location pairs
+ model_id: "masterful/gligen-1-4-generation-text-box"
+ revision: "d2820dc1e9ba6ca082051ce79cfd3eb468ae2c83"
+
+ # Generation mode (gligen only has one mode)
+ mode: gligen
+
+ # Generation parameters
+ params:
+ # Image dimensions
+ height: 512
+ width: 512
+
+ # Diffusion parameters
+ num_inference_steps: 30
+ guidance_scale: 7.5
+
+ # GLIGEN-specific parameters
+ # Controls how strongly the model follows the bounding box grounding
+ # Higher = more faithful to box positions, potentially less natural
+ # Lower = more creative freedom, potentially ignores boxes
+ # Recommended range: 0.3 - 0.5
+ gligen_scheduled_sampling_beta: 0.3
+
+ # No negative prompt for baseline
+ negative_prompt: null
+
+# Bounding box placement for spatial relations
+# Boxes are specified as normalized [0, 1] coordinates: [x0, y0, x1, y1]
+# Unlike ControlNet edge maps, these are passed directly to the pipeline
+box_placement:
+ left_of:
+ box_a:
+ x_range: [0.05, 0.35] # Left third
+ y_range: [0.25, 0.75] # Vertical center
+ box_b:
+ x_range: [0.65, 0.95] # Right third
+ y_range: [0.25, 0.75]
+
+ right_of:
+ # Same as left_of but swapped
+ box_a:
+ x_range: [0.65, 0.95]
+ y_range: [0.25, 0.75]
+ box_b:
+ x_range: [0.05, 0.35]
+ y_range: [0.25, 0.75]
+
+ above:
+ box_a:
+ x_range: [0.25, 0.75] # Horizontal center
+ y_range: [0.05, 0.35] # Top third
+ box_b:
+ x_range: [0.25, 0.75]
+ y_range: [0.65, 0.95] # Bottom third
+
+ below:
+ # Same as above but swapped
+ box_a:
+ x_range: [0.25, 0.75]
+ y_range: [0.65, 0.95]
+ box_b:
+ x_range: [0.25, 0.75]
+ y_range: [0.05, 0.35]
+
+# Seeds for reproducibility (K=4 images per prompt)
+# IMPORTANT: Use same seeds as prompt-only for fair comparison
+seeds: [0, 1, 2, 3]
+
+# Device configuration
+device: cuda
+
+# Output configuration
+output:
+ format: png
+ save_config: true
+ log_versions: true
+
+ # Save box visualizations for debugging (optional)
+ # Unlike ControlNet, GLIGEN doesn't use control images,
+ # but we can optionally save box diagrams for verification
+ save_box_diagrams: false
+
+# Resume from interrupted run
+resume: true
+
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diff --git a/runs/final_20260112_084335/sd15_boxdiff/eval/checker_config.yaml b/runs/final_20260112_084335/sd15_boxdiff/eval/checker_config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8231f0c7972a4daaf28d380ceb64dc7fbefe8971
--- /dev/null
+++ b/runs/final_20260112_084335/sd15_boxdiff/eval/checker_config.yaml
@@ -0,0 +1,59 @@
+confidence:
+ geom_slope: 0.15
+ weights:
+ agreement: 0.1
+ detection: 0.4
+ geometry: 0.3
+ stability: 0.2
+detector:
+ primary:
+ params:
+ device: cuda
+ score_threshold: 0.5
+ type: fasterrcnn
+ secondary:
+ model_id: IDEA-Research/grounding-dino-base
+ params:
+ box_threshold: 0.35
+ device: cuda
+ text_threshold: 0.25
+ revision: 12bdfa3120f3e7ec7b434d90674b3396eccf88eb
+ type: grounding_dino
+geometry:
+ margin: 0.1
+output:
+ generate_overlays: true
+ metrics_file: metrics.json
+ overlay_style:
+ box_a_color:
+ - 255
+ - 0
+ - 0
+ box_b_color:
+ - 0
+ - 0
+ - 255
+ font_size: 16
+ text_color:
+ - 255
+ - 255
+ - 255
+ overlays_dir: overlays
+ results_file: per_sample.jsonl
+stability:
+ consistency_threshold: 0.5
+ enabled: true
+ perturbations:
+ - factor: 1.1
+ type: brightness
+ - factor: 0.9
+ type: brightness
+ - sigma: 1.0
+ type: gaussian_blur
+ - scale: 0.9
+ type: resize
+thresholds:
+ ambiguity_delta: 0.1
+ detection_score: 0.2
+ max_overlap_iou: 0.5
+ min_area_fraction: 0.005
diff --git a/runs/final_20260112_084335/sd15_boxdiff/eval/metrics.json b/runs/final_20260112_084335/sd15_boxdiff/eval/metrics.json
new file mode 100644
index 0000000000000000000000000000000000000000..02f64e03bd6e62615dea4d791413ad57c453136a
--- /dev/null
+++ b/runs/final_20260112_084335/sd15_boxdiff/eval/metrics.json
@@ -0,0 +1,64 @@
+{
+ "total_samples": 800,
+ "pass_count": 323,
+ "fail_count": 17,
+ "undecidable_count": 460,
+ "coverage": 0.425,
+ "pass_rate_overall": 0.40375,
+ "pass_rate_conditional": 0.95,
+ "undecidable_rate": 0.575,
+ "mean_confidence": 0.39477610335772634,
+ "by_relation": {
+ "left_of": {
+ "count": 200,
+ "pass_count": 80,
+ "fail_count": 2,
+ "undecidable_count": 118,
+ "coverage": 0.41,
+ "pass_rate_overall": 0.4,
+ "pass_rate_conditional": 0.975609756097561
+ },
+ "right_of": {
+ "count": 200,
+ "pass_count": 82,
+ "fail_count": 3,
+ "undecidable_count": 115,
+ "coverage": 0.425,
+ "pass_rate_overall": 0.41,
+ "pass_rate_conditional": 0.9647058823529412
+ },
+ "above": {
+ "count": 200,
+ "pass_count": 84,
+ "fail_count": 7,
+ "undecidable_count": 109,
+ "coverage": 0.455,
+ "pass_rate_overall": 0.42,
+ "pass_rate_conditional": 0.9230769230769231
+ },
+ "below": {
+ "count": 200,
+ "pass_count": 77,
+ "fail_count": 5,
+ "undecidable_count": 118,
+ "coverage": 0.41,
+ "pass_rate_overall": 0.385,
+ "pass_rate_conditional": 0.9390243902439024
+ }
+ },
+ "undecidable_reasons": {
+ "missing": 366,
+ "ambiguous": 63,
+ "high_overlap": 6,
+ "near_boundary": 25
+ },
+ "timestamp_utc": "2026-01-16T11:43:29.465540+00:00",
+ "manifest": "runs/final_20260112_084335/sd15_boxdiff/manifest.jsonl",
+ "config": "configs/checker_v1.yaml",
+ "code_version": {
+ "torch": "2.9.1+cu128",
+ "torchvision": "0.24.1+cu128",
+ "transformers": "4.57.3",
+ "git_commit": "586dbf59"
+ }
+}
\ No newline at end of file
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+{"sample_id": "sd15_boxdiff_v1_000198_seed0001", "prompt_id": "v1_000198", "relation": "above", "object_a": "bottle", "object_b": "pizza", "verdict_raw": "PASS", "verdict_reason": null, "conf": 0.9961616102078725, "conf_components": {"detection": 0.9972028351285642, "geometry": 1.0, "stability": 0.9932691743866509, "agreement": 0.9863477907624918}, "detectors": {"primary": {"type": "fasterrcnn", "detections": [{"label": "pizza", "score": 0.9977072477340698, "box_xyxy": [105.66312408447266, 339.73077392578125, 458.90142822265625, 499.2721862792969]}, {"label": "bottle", "score": 0.9966986775398254, "box_xyxy": [301.12371826171875, 0.735595703125, 391.85308837890625, 313.96710205078125]}]}, "secondary": {"type": "grounding_dino", "detections": [{"label": "bottle", "score": 0.8721486926078796, "box_xyxy": [301.61773681640625, 0.2494659423828125, 392.432373046875, 312.90789794921875]}, {"label": "pizza", "score": 0.842655599117279, "box_xyxy": [105.81486511230469, 336.778076171875, 465.823486328125, 499.3681640625]}]}}, "selected": {"box_a_xyxy": [301.12371826171875, 0.735595703125, 391.85308837890625, 313.96710205078125], "box_b_xyxy": [105.66312408447266, 339.73077392578125, 458.90142822265625, 499.2721862792969], "score_a": 0.9966986775398254, "score_b": 0.9977072477340698}, "geometry": {"delta": -0.5120119750499725, "margin": 0.1, "iou_ab": 0.0}, "overlay_path": "overlays/sd15_boxdiff_v1_000198_seed0001.png"}
+{"sample_id": "sd15_boxdiff_v1_000198_seed0002", "prompt_id": "v1_000198", "relation": "above", "object_a": "bottle", "object_b": "pizza", "verdict_raw": "PASS", "verdict_reason": null, "conf": 0.995802381596295, "conf_components": {"detection": 0.9949626483004561, "geometry": 1.0, "stability": 0.9972564086434308, "agreement": 0.9837637710132752}, "detectors": {"primary": {"type": "fasterrcnn", "detections": [{"label": "pizza", "score": 0.9955326318740845, "box_xyxy": [84.86042785644531, 355.9618225097656, 415.0137023925781, 512.0]}, {"label": "bottle", "score": 0.994392991065979, "box_xyxy": [320.1580810546875, 0.0, 422.25830078125, 355.97796630859375]}]}, "secondary": {"type": "grounding_dino", "detections": [{"label": "bottle", "score": 0.885667085647583, "box_xyxy": [320.4167175292969, 0.245330810546875, 422.6512756347656, 355.6287536621094]}, {"label": "pizza", "score": 0.8495575189590454, "box_xyxy": [82.20697021484375, 352.8453369140625, 425.10345458984375, 511.84271240234375]}]}}, "selected": {"box_a_xyxy": [320.1580810546875, 0.0, 422.25830078125, 355.97796630859375], "box_b_xyxy": [84.86042785644531, 355.9618225097656, 415.0137023925781, 512.0], "score_a": 0.994392991065979, "score_b": 0.9955326318740845}, "geometry": {"delta": -0.4999842345714569, "margin": 0.1, "iou_ab": 1.742912450604298e-05}, "overlay_path": "overlays/sd15_boxdiff_v1_000198_seed0002.png"}
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+{"sample_id": "sd15_boxdiff_v1_000199_seed0001", "prompt_id": "v1_000199", "relation": "below", "object_a": "pizza", "object_b": "bottle", "verdict_raw": "UNDECIDABLE", "verdict_reason": "ambiguous: multiple bottle", "conf": 0.0, "conf_components": {"detection": 0.0, "geometry": 0.0, "stability": 0.0, "agreement": 0.0}, "detectors": {"primary": {"type": "fasterrcnn", "detections": [{"label": "bottle", "score": 0.9992268085479736, "box_xyxy": [23.563289642333984, 5.036445140838623, 165.67916870117188, 407.8419494628906]}, {"label": "bottle", "score": 0.9986478686332703, "box_xyxy": [311.19482421875, 3.072577953338623, 427.7071838378906, 352.073974609375]}, {"label": "pizza", "score": 0.9974718689918518, "box_xyxy": [97.48993682861328, 338.0583190917969, 467.30615234375, 460.6478271484375]}]}}, "selected": {"box_a_xyxy": [97.48993682861328, 338.0583190917969, 467.30615234375, 460.6478271484375], "box_b_xyxy": [23.563289642333984, 5.036445140838623, 165.67916870117188, 407.8419494628906], "score_a": 0.9974718689918518, "score_b": 0.9992268085479736}, "geometry": {"delta": null, "margin": 0.1, "iou_ab": null}, "overlay_path": "overlays/sd15_boxdiff_v1_000199_seed0001.png"}
+{"sample_id": "sd15_boxdiff_v1_000199_seed0002", "prompt_id": "v1_000199", "relation": "below", "object_a": "pizza", "object_b": "bottle", "verdict_raw": "PASS", "verdict_reason": null, "conf": 0.9935307984243449, "conf_components": {"detection": 0.9938333036936582, "geometry": 1.0, "stability": 0.9865797677864511, "agreement": 0.9869490854537837}, "detectors": {"primary": {"type": "fasterrcnn", "detections": [{"label": "pizza", "score": 0.9967784285545349, "box_xyxy": [77.72870635986328, 363.638671875, 420.3981018066406, 512.0]}, {"label": "bottle", "score": 0.9908968806266785, "box_xyxy": [296.041015625, 0.0, 426.54522705078125, 356.5238342285156]}]}, "secondary": {"type": "grounding_dino", "detections": [{"label": "bottle", "score": 0.8911779522895813, "box_xyxy": [297.0628662109375, 0.17181396484375, 427.92578125, 358.5348205566406]}, {"label": "pizza", "score": 0.8782312870025635, "box_xyxy": [77.96134948730469, 361.5775146484375, 424.86431884765625, 511.84344482421875]}]}}, "selected": {"box_a_xyxy": [77.72870635986328, 363.638671875, 420.3981018066406, 512.0], "box_b_xyxy": [296.041015625, 0.0, 426.54522705078125, 356.5238342285156], "score_a": 0.9967784285545349, "score_b": 0.9908968806266785}, "geometry": {"delta": 0.5069480836391449, "margin": 0.1, "iou_ab": 0.0}, "overlay_path": "overlays/sd15_boxdiff_v1_000199_seed0002.png"}
+{"sample_id": "sd15_boxdiff_v1_000199_seed0003", "prompt_id": "v1_000199", "relation": "below", "object_a": "pizza", "object_b": "bottle", "verdict_raw": "UNDECIDABLE", "verdict_reason": "missing: bottle", "conf": 0.0, "conf_components": {"detection": 0.0, "geometry": 0.0, "stability": 0.0, "agreement": 0.0}, "detectors": {"primary": {"type": "fasterrcnn", "detections": [{"label": "pizza", "score": 0.9861613512039185, "box_xyxy": [31.210819244384766, 214.30967712402344, 319.72601318359375, 431.27972412109375]}, {"label": "pizza", "score": 0.8979687690734863, "box_xyxy": [0.41923826932907104, 205.18519592285156, 72.39620208740234, 432.3053283691406]}, {"label": "pizza", "score": 0.8016311526298523, "box_xyxy": [0.2348046749830246, 34.60783004760742, 392.8416442871094, 442.6477355957031]}, {"label": "pizza", "score": 0.7895999550819397, "box_xyxy": [0.6873877048492432, 50.77092742919922, 123.14007568359375, 231.1425018310547]}, {"label": "pizza", "score": 0.6945448517799377, "box_xyxy": [0.35050779581069946, 47.22407913208008, 129.06008911132812, 435.16546630859375]}]}}, "selected": {"box_a_xyxy": null, "box_b_xyxy": null, "score_a": null, "score_b": null}, "geometry": {"delta": null, "margin": 0.1, "iou_ab": null}, "overlay_path": "overlays/sd15_boxdiff_v1_000199_seed0003.png"}
diff --git a/runs/final_20260112_084335/sd15_boxdiff/eval/provenance.json b/runs/final_20260112_084335/sd15_boxdiff/eval/provenance.json
new file mode 100644
index 0000000000000000000000000000000000000000..0494214b0dd5d0485cb62b39f8de6aae85613f49
--- /dev/null
+++ b/runs/final_20260112_084335/sd15_boxdiff/eval/provenance.json
@@ -0,0 +1,22 @@
+{
+ "timestamp_utc": "2026-01-16T11:43:29.547895+00:00",
+ "python_version": "3.11.10 (main, Sep 7 2024, 18:35:41) [GCC 11.4.0]",
+ "platform": "Linux-6.8.0-84-generic-x86_64-with-glibc2.35",
+ "device_info": {
+ "device": "cuda",
+ "cuda_available": true,
+ "mps_available": false,
+ "torch_version": "2.9.1+cu128",
+ "cuda_device_name": "NVIDIA GeForce RTX 4090",
+ "cuda_device_count": 1,
+ "cuda_memory_gb": 23.53,
+ "cuda_capability": "8.9"
+ },
+ "git_commit": "586dbf599cc2e705b4deda535745f5a98b3f0895",
+ "library_versions": {
+ "torch": "2.9.1+cu128",
+ "torchvision": "0.24.1+cu128",
+ "transformers": "4.57.3",
+ "git_commit": "586dbf59"
+ }
+}
\ No newline at end of file
diff --git a/runs/final_20260112_084335/sd15_boxdiff/gen_config.yaml b/runs/final_20260112_084335/sd15_boxdiff/gen_config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..9ea48c5a3ec083b51067ed15a95822d44c12b277
--- /dev/null
+++ b/runs/final_20260112_084335/sd15_boxdiff/gen_config.yaml
@@ -0,0 +1,153 @@
+# =============================================================================
+# SD 1.5 + BoxDiff Generation Configuration
+# =============================================================================
+# BoxDiff: Training-free box-constrained diffusion for spatial control.
+# Research question: Can attention manipulation achieve spatial grounding
+# without specialized training (like GLIGEN requires)?
+#
+# BoxDiff sits between:
+# - SD 1.5 prompt-only (no structure)
+# - GLIGEN (explicit box grounding with trained model)
+#
+# Key advantage: Works with ANY Stable Diffusion model, no additional training.
+# It manipulates cross-attention maps during denoising to concentrate attention
+# for each phrase within its corresponding bounding box.
+#
+# Reference:
+# BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
+# https://arxiv.org/abs/2307.10816 (ICCV 2023)
+#
+# Usage:
+# python -m spatialbench_uc.generate \
+# --config configs/gen_sd15_boxdiff.yaml \
+# --prompts data/prompts/v1.0.0/prompts.jsonl \
+# --out runs/
+
+# Generator configuration
+generator:
+ # Registry type (see generators/registry.py)
+ type: boxdiff
+
+ # Model identifier (HuggingFace model ID)
+ # BoxDiff works with any SD model - using SD 1.5 for fair comparison
+ model_id: "runwayml/stable-diffusion-v1-5"
+ revision: "451f4fe16113bff5a5d2269ed5ad43b0592e9a14"
+
+ # Generation mode (boxdiff only has one mode)
+ mode: boxdiff
+
+ # Generation parameters
+ params:
+ # Image dimensions (match other baselines for fair comparison)
+ height: 512
+ width: 512
+
+ # Diffusion parameters (match PLAN_BACKUP.md: 30 steps, guidance 7.5)
+ num_inference_steps: 30
+ guidance_scale: 7.5
+
+ # Scheduler (UniPC for consistency with other baselines)
+ scheduler: "UniPCMultistepScheduler"
+
+ # No negative prompt for baseline (can add for quality experiments)
+ negative_prompt: null
+
+ # BoxDiff-specific kwargs passed to the pipeline call
+ # Default values are based on the community pipeline and paper recommendations
+ boxdiff_kwargs:
+ # Resolution for attention maps (16x16 for 512px image)
+ attention_res: 16
+
+ # Probability threshold for outside-box penalty
+ # Higher P = stronger penalty for attention outside boxes
+ P: 0.2
+
+ # Number of loss iterations per timestep
+ L: 1
+
+ # Maximum timestep to apply box constraints
+ # After this step, let the model generate freely for refinement
+ max_iter_to_alter: 25
+
+ # Loss thresholds: only update latents when loss exceeds threshold
+ # Keys are timestep indices, values are loss thresholds
+ # Progressive relaxation allows initial guidance then creative freedom
+ loss_thresholds:
+ 0: 0.05
+ 10: 0.5
+ 20: 0.8
+
+ # Scale factor for latent gradient updates
+ scale_factor: 20
+
+ # Scale range for progressive update strength [start, end]
+ # Starts stronger, decreases over time
+ scale_range: [1.0, 0.5]
+
+ # Attention smoothing parameters
+ smooth_attentions: true
+ sigma: 0.5
+ kernel_size: 3
+
+ # Refinement mode (experimental)
+ refine: false
+
+ # Normalize end-of-text token in attention
+ normalize_eot: true
+
+# Bounding box placement for spatial relations
+# Same placement schema as GLIGEN for fair comparison
+# Boxes are specified as normalized [0, 1] coordinates
+box_placement:
+ left_of:
+ box_a:
+ x_range: [0.05, 0.35] # Left third
+ y_range: [0.25, 0.75] # Vertical center
+ box_b:
+ x_range: [0.65, 0.95] # Right third
+ y_range: [0.25, 0.75]
+
+ right_of:
+ # Same as left_of but swapped
+ box_a:
+ x_range: [0.65, 0.95]
+ y_range: [0.25, 0.75]
+ box_b:
+ x_range: [0.05, 0.35]
+ y_range: [0.25, 0.75]
+
+ above:
+ box_a:
+ x_range: [0.25, 0.75] # Horizontal center
+ y_range: [0.05, 0.35] # Top third
+ box_b:
+ x_range: [0.25, 0.75]
+ y_range: [0.65, 0.95] # Bottom third
+
+ below:
+ # Same as above but swapped
+ box_a:
+ x_range: [0.25, 0.75]
+ y_range: [0.65, 0.95]
+ box_b:
+ x_range: [0.25, 0.75]
+ y_range: [0.05, 0.35]
+
+# Seeds for reproducibility (K=4 images per prompt)
+# IMPORTANT: Use same seeds as other baselines for fair comparison
+seeds: [0, 1, 2, 3]
+
+# Device configuration
+device: cuda
+
+# Output configuration
+output:
+ format: png
+ save_config: true
+ log_versions: true
+
+ # BoxDiff doesn't use control images like ControlNet
+ save_control_images: false
+
+# Resume from interrupted run
+resume: true
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+{"sample_id": "sd15_boxdiff_v1_000199_seed0003", "run_id": "sd15_boxdiff", "prompt_id": "v1_000199", "image_path": "images/sd15_boxdiff_v1_000199_seed0003.png", "model": {"pipeline": "StableDiffusionPipeline", "model_id": "runwayml/stable-diffusion-v1-5", "revision": "451f4fe16113bff5a5d2269ed5ad43b0592e9a14"}, "gen_params": {"seed": 3, "height": 512, "width": 512, "num_inference_steps": 30, "guidance_scale": 7.5, "scheduler": "UniPCMultistepScheduler", "negative_prompt": null}, "prompt": "A photo of a pizza below a bottle.", "relation": "below", "object_a": "pizza", "object_b": "bottle", "timestamp_utc": "2026-01-12T09:57:57.842075+00:00", "code_version": {"torch": "2.9.1+cu128", "diffusers": "0.36.0", "transformers": "4.57.3", "git_commit": "94de0648"}}
diff --git a/runs/final_20260112_084335/sd15_promptonly/eval/checker_config.yaml b/runs/final_20260112_084335/sd15_promptonly/eval/checker_config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8231f0c7972a4daaf28d380ceb64dc7fbefe8971
--- /dev/null
+++ b/runs/final_20260112_084335/sd15_promptonly/eval/checker_config.yaml
@@ -0,0 +1,59 @@
+confidence:
+ geom_slope: 0.15
+ weights:
+ agreement: 0.1
+ detection: 0.4
+ geometry: 0.3
+ stability: 0.2
+detector:
+ primary:
+ params:
+ device: cuda
+ score_threshold: 0.5
+ type: fasterrcnn
+ secondary:
+ model_id: IDEA-Research/grounding-dino-base
+ params:
+ box_threshold: 0.35
+ device: cuda
+ text_threshold: 0.25
+ revision: 12bdfa3120f3e7ec7b434d90674b3396eccf88eb
+ type: grounding_dino
+geometry:
+ margin: 0.1
+output:
+ generate_overlays: true
+ metrics_file: metrics.json
+ overlay_style:
+ box_a_color:
+ - 255
+ - 0
+ - 0
+ box_b_color:
+ - 0
+ - 0
+ - 255
+ font_size: 16
+ text_color:
+ - 255
+ - 255
+ - 255
+ overlays_dir: overlays
+ results_file: per_sample.jsonl
+stability:
+ consistency_threshold: 0.5
+ enabled: true
+ perturbations:
+ - factor: 1.1
+ type: brightness
+ - factor: 0.9
+ type: brightness
+ - sigma: 1.0
+ type: gaussian_blur
+ - scale: 0.9
+ type: resize
+thresholds:
+ ambiguity_delta: 0.1
+ detection_score: 0.2
+ max_overlap_iou: 0.5
+ min_area_fraction: 0.005
diff --git a/runs/final_20260112_084335/sd15_promptonly/eval/metrics.json b/runs/final_20260112_084335/sd15_promptonly/eval/metrics.json
new file mode 100644
index 0000000000000000000000000000000000000000..68d2fe06ee11fe1bcfc8110dd9bfabd762ddbe93
--- /dev/null
+++ b/runs/final_20260112_084335/sd15_promptonly/eval/metrics.json
@@ -0,0 +1,64 @@
+{
+ "total_samples": 800,
+ "pass_count": 94,
+ "fail_count": 96,
+ "undecidable_count": 610,
+ "coverage": 0.2375,
+ "pass_rate_overall": 0.1175,
+ "pass_rate_conditional": 0.49473684210526314,
+ "undecidable_rate": 0.7625,
+ "mean_confidence": 0.2058981726219487,
+ "by_relation": {
+ "left_of": {
+ "count": 200,
+ "pass_count": 15,
+ "fail_count": 19,
+ "undecidable_count": 166,
+ "coverage": 0.17,
+ "pass_rate_overall": 0.075,
+ "pass_rate_conditional": 0.4411764705882353
+ },
+ "right_of": {
+ "count": 200,
+ "pass_count": 18,
+ "fail_count": 21,
+ "undecidable_count": 161,
+ "coverage": 0.195,
+ "pass_rate_overall": 0.09,
+ "pass_rate_conditional": 0.46153846153846156
+ },
+ "above": {
+ "count": 200,
+ "pass_count": 33,
+ "fail_count": 28,
+ "undecidable_count": 139,
+ "coverage": 0.305,
+ "pass_rate_overall": 0.165,
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+{"sample_id": "sd15_promptonly_v1_000199_seed0002", "prompt_id": "v1_000199", "relation": "below", "object_a": "pizza", "object_b": "bottle", "verdict_raw": "UNDECIDABLE", "verdict_reason": "near_boundary (|delta|=0.070 <= margin=0.1)", "conf": 0.000989476879516172, "conf_components": {"detection": 0.9947789716557762, "geometry": 0.0, "stability": 1.0, "agreement": 0.9186500909357861}, "detectors": {"primary": {"type": "fasterrcnn", "detections": [{"label": "bottle", "score": 0.9958022236824036, "box_xyxy": [0.5516455173492432, 9.73476505279541, 116.52495574951172, 467.4355773925781]}, {"label": "pizza", "score": 0.9937567710876465, "box_xyxy": [155.77317810058594, 71.68861389160156, 507.0819396972656, 476.72271728515625]}, {"label": "pizza", "score": 0.6352119445800781, "box_xyxy": [163.1221160888672, 96.73612213134766, 334.1717224121094, 352.2350769042969]}]}, "secondary": {"type": "grounding_dino", "detections": [{"label": "pizza", "score": 0.7573268413543701, "box_xyxy": [151.0300750732422, 81.41909790039062, 512.0050048828125, 476.6667785644531]}, {"label": "bottle", "score": 0.8804497122764587, "box_xyxy": [-0.025726318359375, 7.20526123046875, 148.55809020996094, 500.45025634765625]}]}}, "selected": {"box_a_xyxy": [155.77317810058594, 71.68861389160156, 507.0819396972656, 476.72271728515625], "box_b_xyxy": [0.5516455173492432, 9.73476505279541, 116.52495574951172, 467.4355773925781], "score_a": 0.9937567710876465, "score_b": 0.9958022236824036}, "geometry": {"delta": 0.06957127805799246, "margin": 0.1, "iou_ab": 0.0}, "overlay_path": "overlays/sd15_promptonly_v1_000199_seed0002.png"}
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diff --git a/runs/final_20260112_084335/sd15_promptonly/eval/provenance.json b/runs/final_20260112_084335/sd15_promptonly/eval/provenance.json
new file mode 100644
index 0000000000000000000000000000000000000000..19d61addb0c9289b24fbcf2842245b0340c7fa2f
--- /dev/null
+++ b/runs/final_20260112_084335/sd15_promptonly/eval/provenance.json
@@ -0,0 +1,22 @@
+{
+ "timestamp_utc": "2026-01-16T11:38:51.986506+00:00",
+ "python_version": "3.11.10 (main, Sep 7 2024, 18:35:41) [GCC 11.4.0]",
+ "platform": "Linux-6.8.0-84-generic-x86_64-with-glibc2.35",
+ "device_info": {
+ "device": "cuda",
+ "cuda_available": true,
+ "mps_available": false,
+ "torch_version": "2.9.1+cu128",
+ "cuda_device_name": "NVIDIA GeForce RTX 4090",
+ "cuda_device_count": 1,
+ "cuda_memory_gb": 23.53,
+ "cuda_capability": "8.9"
+ },
+ "git_commit": "586dbf599cc2e705b4deda535745f5a98b3f0895",
+ "library_versions": {
+ "torch": "2.9.1+cu128",
+ "torchvision": "0.24.1+cu128",
+ "transformers": "4.57.3",
+ "git_commit": "586dbf59"
+ }
+}
\ No newline at end of file
diff --git a/runs/final_20260112_084335/sd15_promptonly/gen_config.yaml b/runs/final_20260112_084335/sd15_promptonly/gen_config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..98c56aa9a1c217b3d71309a36ec034fde97475e5
--- /dev/null
+++ b/runs/final_20260112_084335/sd15_promptonly/gen_config.yaml
@@ -0,0 +1,60 @@
+# =============================================================================
+# SD 1.5 Prompt-Only Generation Configuration
+# =============================================================================
+# Baseline 1: Standard text-to-image generation without guidance.
+# Research question: Can text prompts alone convey spatial relations?
+#
+# Usage:
+# python -m spatialbench_uc.generate \
+# --config configs/gen_sd15_promptonly.yaml \
+# --prompts data/prompts/v1.0.0/prompts.jsonl \
+# --out runs/
+
+# Generator configuration
+generator:
+ # Registry type (see generators/registry.py)
+ type: diffusers
+
+ # Model identifier (HuggingFace model ID)
+ model_id: "runwayml/stable-diffusion-v1-5"
+ revision: "451f4fe16113bff5a5d2269ed5ad43b0592e9a14"
+
+ # Generation mode
+ mode: prompt_only
+
+ # Generation parameters
+ params:
+ # Image dimensions (SD 1.5 native resolution)
+ height: 512
+ width: 512
+
+ # Diffusion parameters
+ num_inference_steps: 30
+ guidance_scale: 7.5
+
+ # Scheduler (UniPC is fast and high quality)
+ scheduler: "UniPCMultistepScheduler"
+
+ # No negative prompt for baseline
+ negative_prompt: null
+
+# Seeds for reproducibility (K=4 images per prompt)
+seeds: [0, 1, 2, 3]
+
+# Device configuration (auto = CUDA > MPS > CPU)
+device: cuda
+
+# Output configuration
+output:
+ # Image format
+ format: png
+
+ # Save generation config with each run
+ save_config: true
+
+ # Log library versions for reproducibility
+ log_versions: true
+
+# Resume from interrupted run
+resume: true
+
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+{"sample_id": "sd15_promptonly_v1_000199_seed0000", "run_id": "sd15_promptonly", "prompt_id": "v1_000199", "image_path": "images/sd15_promptonly_v1_000199_seed0000.png", "model": {"pipeline": "StableDiffusionPipeline", "model_id": "runwayml/stable-diffusion-v1-5", "revision": "451f4fe16113bff5a5d2269ed5ad43b0592e9a14"}, "gen_params": {"seed": 0, "height": 512, "width": 512, "num_inference_steps": 30, "guidance_scale": 7.5, "scheduler": "UniPCMultistepScheduler", "negative_prompt": null}, "prompt": "A photo of a pizza below a bottle.", "relation": "below", "object_a": "pizza", "object_b": "bottle", "timestamp_utc": "2026-01-12T09:10:13.254552+00:00", "code_version": {"torch": "2.9.1+cu128", "diffusers": "0.36.0", "transformers": "4.57.3", "git_commit": "94de0648"}}
+{"sample_id": "sd15_promptonly_v1_000199_seed0001", "run_id": "sd15_promptonly", "prompt_id": "v1_000199", "image_path": "images/sd15_promptonly_v1_000199_seed0001.png", "model": {"pipeline": "StableDiffusionPipeline", "model_id": "runwayml/stable-diffusion-v1-5", "revision": "451f4fe16113bff5a5d2269ed5ad43b0592e9a14"}, "gen_params": {"seed": 1, "height": 512, "width": 512, "num_inference_steps": 30, "guidance_scale": 7.5, "scheduler": "UniPCMultistepScheduler", "negative_prompt": null}, "prompt": "A photo of a pizza below a bottle.", "relation": "below", "object_a": "pizza", "object_b": "bottle", "timestamp_utc": "2026-01-12T09:10:14.661052+00:00", "code_version": {"torch": "2.9.1+cu128", "diffusers": "0.36.0", "transformers": "4.57.3", "git_commit": "94de0648"}}
+{"sample_id": "sd15_promptonly_v1_000199_seed0002", "run_id": "sd15_promptonly", "prompt_id": "v1_000199", "image_path": "images/sd15_promptonly_v1_000199_seed0002.png", "model": {"pipeline": "StableDiffusionPipeline", "model_id": "runwayml/stable-diffusion-v1-5", "revision": "451f4fe16113bff5a5d2269ed5ad43b0592e9a14"}, "gen_params": {"seed": 2, "height": 512, "width": 512, "num_inference_steps": 30, "guidance_scale": 7.5, "scheduler": "UniPCMultistepScheduler", "negative_prompt": null}, "prompt": "A photo of a pizza below a bottle.", "relation": "below", "object_a": "pizza", "object_b": "bottle", "timestamp_utc": "2026-01-12T09:10:16.063275+00:00", "code_version": {"torch": "2.9.1+cu128", "diffusers": "0.36.0", "transformers": "4.57.3", "git_commit": "94de0648"}}
+{"sample_id": "sd15_promptonly_v1_000199_seed0003", "run_id": "sd15_promptonly", "prompt_id": "v1_000199", "image_path": "images/sd15_promptonly_v1_000199_seed0003.png", "model": {"pipeline": "StableDiffusionPipeline", "model_id": "runwayml/stable-diffusion-v1-5", "revision": "451f4fe16113bff5a5d2269ed5ad43b0592e9a14"}, "gen_params": {"seed": 3, "height": 512, "width": 512, "num_inference_steps": 30, "guidance_scale": 7.5, "scheduler": "UniPCMultistepScheduler", "negative_prompt": null}, "prompt": "A photo of a pizza below a bottle.", "relation": "below", "object_a": "pizza", "object_b": "bottle", "timestamp_utc": "2026-01-12T09:10:17.486174+00:00", "code_version": {"torch": "2.9.1+cu128", "diffusers": "0.36.0", "transformers": "4.57.3", "git_commit": "94de0648"}}
+ 
+ 
+ 
+ 
+