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Rewrite experiment docs with TeX-grounded mathematical context
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docs/Gemini_hallicination.md

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## Source
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$s
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```text
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experiments/Gemini_hallicination.py
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```
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## Type
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Python script
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## Purpose
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## Research Goal
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This document tracks the experiment script $s and its role in exploratory simplicial-tensor workflows.
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Critically checks conjectural statements against the proven DSTM framework and identifies mismatches between heuristic claims and manuscript-level results.
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## Theoretical Anchors
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- tex/introduction.tex (overall DSTM program and classification objective).
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- tex/combinatorics.tex (strict algebraic n-hypergroupoid criterion k = n).
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- tex/dichotomy.tex (filler uniqueness vs non-uniqueness regimes).
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## Typical Workflow
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1. Configure shape/order/parameter choices directly in the script.
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2. Run the script to evaluate identities or invariants associated with its target phenomenon.
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3. Compare printed or saved outputs against the theorem-level expectations listed above.
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## How To Run
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`ash
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```bash
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python experiments/Gemini_hallicination.py
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`
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```
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## Inputs
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- Parameters and constants defined directly in the script.
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- Local package modules from src/simplicial_tensors.
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- Tensor shape data or graph/permutation objects defined in-script.
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- The core simplicial_tensors implementation in src/simplicial_tensors.
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- Optional scientific/python ecosystem dependencies required by the script.
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## Outputs
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- Console output and, depending on script logic, generated artifacts (for example plots or intermediate files).
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- Diagnostic comparisons in console output documenting where claims fail or require proof-level support.
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## Interpretation Guidance
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## Notes
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Use this script as computational evidence for manuscript-level claims, not as a standalone proof. Cross-check discrepancies against the cited TeX sections and their formal statements.
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- This script lives under xperiments/ and is research-oriented rather than part of the stable package API.

docs/atlas_cospectral_scan.md

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## Source
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$s
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```text
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experiments/atlas_cospectral_scan.py
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```
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## Type
810

911
Python script
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11-
## Purpose
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## Research Goal
1214

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This document tracks the experiment script $s and its role in exploratory simplicial-tensor workflows.
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Computes graph-derived simplicial statistics (including boundary-rank style invariants) for cospectral/non-isomorphic comparisons and structural scans.
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## Theoretical Anchors
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- tex/horns.tex (kernel-support interpretation of omitted faces).
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- tex/combinatorics.tex (rank counting framework and inclusion-exclusion viewpoint).
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- tex/generated_subobjects.tex (realization matrices and rank-loss/collision perspective).
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## Typical Workflow
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1. Configure shape/order/parameter choices directly in the script.
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2. Run the script to evaluate identities or invariants associated with its target phenomenon.
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3. Compare printed or saved outputs against the theorem-level expectations listed above.
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## How To Run
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`ash
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```bash
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python experiments/atlas_cospectral_scan.py
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`
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```
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## Inputs
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- Parameters and constants defined directly in the script.
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- Local package modules from src/simplicial_tensors.
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- Tensor shape data or graph/permutation objects defined in-script.
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- The core simplicial_tensors implementation in src/simplicial_tensors.
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- Optional scientific/python ecosystem dependencies required by the script.
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## Outputs
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- Console output and, depending on script logic, generated artifacts (for example plots or intermediate files).
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- Enumerations, rank distributions, cospectral pair comparisons, and optional saved summaries.
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## Interpretation Guidance
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## Notes
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Use this script as computational evidence for manuscript-level claims, not as a standalone proof. Cross-check discrepancies against the cited TeX sections and their formal statements.
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- This script lives under xperiments/ and is research-oriented rather than part of the stable package API.

docs/bdry_network_experiment1.md

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## Source
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$s
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```text
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experiments/bdry_network_experiment1.py
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```
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## Type
810

911
Python script
1012

11-
## Purpose
13+
## Research Goal
1214

13-
This document tracks the experiment script $s and its role in exploratory simplicial-tensor workflows.
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Explores ML-style training behavior under simplicial boundary/degeneracy-inspired transformations and compares optimization behavior across configurations.
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## Theoretical Anchors
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- tex/normalization.tex (decomposition into normalized and degenerate components).
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- tex/combinatorics.tex (rank behavior and boundary-related structure in degrees).
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- tex/equivariant_homotopy.tex (contractibility perspective motivating robustness checks).
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## Typical Workflow
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1. Configure shape/order/parameter choices directly in the script.
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2. Run the script to evaluate identities or invariants associated with its target phenomenon.
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3. Compare printed or saved outputs against the theorem-level expectations listed above.
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## How To Run
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`ash
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```bash
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python experiments/bdry_network_experiment1.py
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`
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```
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## Inputs
2236

23-
- Parameters and constants defined directly in the script.
24-
- Local package modules from src/simplicial_tensors.
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- Tensor shape data or graph/permutation objects defined in-script.
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- The core simplicial_tensors implementation in src/simplicial_tensors.
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- Optional scientific/python ecosystem dependencies required by the script.
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2641
## Outputs
2742

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- Console output and, depending on script logic, generated artifacts (for example plots or intermediate files).
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- Training/validation statistics, loss curves, and optional plot artifacts for comparative runs.
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## Interpretation Guidance
2946

30-
## Notes
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Use this script as computational evidence for manuscript-level claims, not as a standalone proof. Cross-check discrepancies against the cited TeX sections and their formal statements.
3148

32-
- This script lives under xperiments/ and is research-oriented rather than part of the stable package API.

docs/boundary_augmented_network.md

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## Source
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$s
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```text
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experiments/boundary_augmented_network.py
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```
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79
## Type
810

911
Python script
1012

11-
## Purpose
13+
## Research Goal
1214

13-
This document tracks the experiment script $s and its role in exploratory simplicial-tensor workflows.
15+
Explores ML-style training behavior under simplicial boundary/degeneracy-inspired transformations and compares optimization behavior across configurations.
16+
17+
## Theoretical Anchors
18+
19+
- tex/normalization.tex (decomposition into normalized and degenerate components).
20+
- tex/combinatorics.tex (rank behavior and boundary-related structure in degrees).
21+
- tex/equivariant_homotopy.tex (contractibility perspective motivating robustness checks).
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## Typical Workflow
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1. Configure shape/order/parameter choices directly in the script.
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2. Run the script to evaluate identities or invariants associated with its target phenomenon.
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3. Compare printed or saved outputs against the theorem-level expectations listed above.
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## How To Run
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`ash
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```bash
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python experiments/boundary_augmented_network.py
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`
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```
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## Inputs
2236

23-
- Parameters and constants defined directly in the script.
24-
- Local package modules from src/simplicial_tensors.
37+
- Tensor shape data or graph/permutation objects defined in-script.
38+
- The core simplicial_tensors implementation in src/simplicial_tensors.
39+
- Optional scientific/python ecosystem dependencies required by the script.
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2641
## Outputs
2742

28-
- Console output and, depending on script logic, generated artifacts (for example plots or intermediate files).
43+
- Training/validation statistics, loss curves, and optional plot artifacts for comparative runs.
44+
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## Interpretation Guidance
2946

30-
## Notes
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Use this script as computational evidence for manuscript-level claims, not as a standalone proof. Cross-check discrepancies against the cited TeX sections and their formal statements.
3148

32-
- This script lives under xperiments/ and is research-oriented rather than part of the stable package API.

docs/consolidated_experiment.md

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## Source
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$s
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```text
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experiments/consolidated_experiment.py
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```
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79
## Type
810

911
Python script
1012

11-
## Purpose
13+
## Research Goal
1214

13-
This document tracks the experiment script $s and its role in exploratory simplicial-tensor workflows.
15+
Performs targeted computational checks of combinatorial identities and structural invariants on explicit tensor families.
16+
17+
## Theoretical Anchors
18+
19+
- tex/horns.tex (missing-index characterization and face-kernel basis).
20+
- tex/combinatorics.tex (rank and finite-difference formulas).
21+
- tex/normalization.tex (decomposition through Moore filler map).
22+
23+
## Typical Workflow
24+
25+
1. Configure shape/order/parameter choices directly in the script.
26+
2. Run the script to evaluate identities or invariants associated with its target phenomenon.
27+
3. Compare printed or saved outputs against the theorem-level expectations listed above.
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## How To Run
1630

17-
`ash
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```bash
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python experiments/consolidated_experiment.py
19-
`
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```
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2135
## Inputs
2236

23-
- Parameters and constants defined directly in the script.
24-
- Local package modules from src/simplicial_tensors.
37+
- Tensor shape data or graph/permutation objects defined in-script.
38+
- The core simplicial_tensors implementation in src/simplicial_tensors.
39+
- Optional scientific/python ecosystem dependencies required by the script.
2540

2641
## Outputs
2742

28-
- Console output and, depending on script logic, generated artifacts (for example plots or intermediate files).
43+
- Consistency checks, discrepancy reports, and compact experiment summaries.
44+
45+
## Interpretation Guidance
2946

30-
## Notes
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Use this script as computational evidence for manuscript-level claims, not as a standalone proof. Cross-check discrepancies against the cited TeX sections and their formal statements.
3148

32-
- This script lives under xperiments/ and is research-oriented rather than part of the stable package API.

docs/consolidated_experiment_with_n01.md

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## Source
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$s
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```text
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experiments/consolidated_experiment_with_n01.py
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```
68

79
## Type
810

911
Python script
1012

11-
## Purpose
13+
## Research Goal
1214

13-
This document tracks the experiment script $s and its role in exploratory simplicial-tensor workflows.
15+
Performs targeted computational checks of combinatorial identities and structural invariants on explicit tensor families.
16+
17+
## Theoretical Anchors
18+
19+
- tex/horns.tex (missing-index characterization and face-kernel basis).
20+
- tex/combinatorics.tex (rank and finite-difference formulas).
21+
- tex/normalization.tex (decomposition through Moore filler map).
22+
23+
## Typical Workflow
24+
25+
1. Configure shape/order/parameter choices directly in the script.
26+
2. Run the script to evaluate identities or invariants associated with its target phenomenon.
27+
3. Compare printed or saved outputs against the theorem-level expectations listed above.
1428

1529
## How To Run
1630

17-
`ash
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```bash
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python experiments/consolidated_experiment_with_n01.py
19-
`
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```
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2135
## Inputs
2236

23-
- Parameters and constants defined directly in the script.
24-
- Local package modules from src/simplicial_tensors.
37+
- Tensor shape data or graph/permutation objects defined in-script.
38+
- The core simplicial_tensors implementation in src/simplicial_tensors.
39+
- Optional scientific/python ecosystem dependencies required by the script.
2540

2641
## Outputs
2742

28-
- Console output and, depending on script logic, generated artifacts (for example plots or intermediate files).
43+
- Consistency checks, discrepancy reports, and compact experiment summaries.
44+
45+
## Interpretation Guidance
2946

30-
## Notes
47+
Use this script as computational evidence for manuscript-level claims, not as a standalone proof. Cross-check discrepancies against the cited TeX sections and their formal statements.
3148

32-
- This script lives under xperiments/ and is research-oriented rather than part of the stable package API.

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