Edge review
step · openDeclaration 81cb6ec4cb48 has not been accepted by anyone. · no paper read under it
What does a claim added after induction depend on and support?
Mechanical: re-runnable from its declared inputs.
How it works
Rests on
- claim-tree · step
- relation-vocab · question
Feeds
Nothing — this is a leaf.
How it is defined
A model answers this layer, so the prompt is the layer. It is reproduced below from the committed file, and it is a declared input — editing it makes every run that used it stale.
The declaration names this path and the repository does not have it. An input that does not exist hashes to nothing, so it cannot make a run stale — the layer is declared to depend on something it is not in fact tracking.
The declaration names this path and the repository does not have it. An input that does not exist hashes to nothing, so it cannot make a run stale — the layer is declared to depend on something it is not in fact tracking.
The declaration names this path and the repository does not have it. An input that does not exist hashes to nothing, so it cannot make a run stale — the layer is declared to depend on something it is not in fact tracking.
What it produces6 edges
One paper, as the worked example — Gadeke, v1. Read from runs/gadeke-2026-guilt-insula/edge-review.output.json · 3 KB. reviewed_on 2026-09-12model supplied:runs/gadeke-2026-guilt-insula/edge-review.answer.json
| # | source | target | relation | why |
|---|---|---|---|---|
| 1 | social-vs-partner-roi-risky-safe-coefficients | only-precuneus-tpj-showed-positive | part-of | Claim 68 is the Social-vs-Partner half of the decision-phase Risky-Safe ROI regression (Appendix 1-table 6, span tables-019) whose two comparisons claim 45 states as one whole when it says only precun… |
| 2 | social-vs-solo-roi-risky-safe-coefficients | only-precuneus-tpj-showed-positive | part-of | Claim 69 is the Social-vs-Solo half of the same decision-phase Risky-Safe ROI regression (Appendix 1-table 5, span tables-016), the second of the two comparisons claim 45 states together. |
| 3 | risk-aversion-parameter-not-differ-between | participants-slightly-more-risk-averse | validates | The null difference in rho between gain and loss trials is the control that justifies pooling across them, and claim 54's Social-vs-Solo comparison of rho is computed on those pooled estimates. |
| 4 | left-ifg-insula-connectivity-subthreshold | connectivity-between-guilt-responsibility-related-outcome-ph | tests | The subthreshold left IFG cluster from the insula-seeded gPPI (span results-143) is a further result of the seed-to-voxel analysis claim 14 predicts would show a Condition-by-Choice interaction in pre… |
| 5 | among-computational-models-fitted-momentary | responsibility-redux-model-incorporating-expected | part-of | The AIC row of the happiness-model comparison is one measure of the Responsibility Redux model's fit that claim 63 states as a whole when it says the model predicted momentary happiness well. |
| 6 | participants-own-reward-prediction-errors | partner-reward-prediction-errors-resulting | qualifies | Claim 55 asserts that the partner's prediction errors arising from the participant's own choices contribute to happiness; claim 51 bounds that contribution by showing the participant's own prediction … |
Across the corpus
8 not run · 2 stale·a paper links to its own cell, where this layer's output for it is rendered
| Paper | State | Version | Last run | Output | Cell |
|---|---|---|---|---|---|
| A three-dimensional immunofluorescence atlas of the … | not run | — | — | — | json |
| Distinct representational properties of cues and con… | not run | — | — | — | json |
| Computational modelling identifies key determinants … | not run | — | — | — | json |
| Contributions of insula and superior temporal sulcus…first run of the layer | stale | v1 | 2026-09-12 | edge-review.output.json | json |
| Spatially targeted inhibitory rhythms differentially… | not run | — | — | — | json |
| Feedback of peripheral saccade targets to early fove…first run of the layer | stale | v1 | 2026-09-12 | edge-review.output.json | json |
| iGABASnFR2 is an improved genetically encoded protei… | not run | — | — | — | json |
| A deep learning pipeline for mapping in situ network… | not run | — | — | — | json |
| Self-association enhances early attentional selectio… | not run | — | — | — | json |
| Impaired excitability of fast-spiking neurons in a n… | not run | — | — | — | json |
Inputs and outputs
- Reads, besides its dependencies
-
- extract/prompts/edge-inference.md · declared, and not in the repository — it hashes to nothing, so it cannot make a run stale
- extract/prompts/contract/vocabulary.md · declared, and not in the repository — it hashes to nothing, so it cannot make a run stale
- scripts/edge_review.py · declared, and not in the repository — it hashes to nothing, so it cannot make a run stale
- Produces
-
- runs/{paper}/edge-review.output.json
- Views
-
- table — rendered above, over the 6 edges in the artifact
Running it
The command comes from the declaration, so this text and what actually runs cannot
diverge. pipeline.py run also runs the unmet dependencies first.
python3 scripts/pipeline.py run <paper> edge-review
Underneath, that runs python3 scripts/edge_review.py {paper} --answer runs/{paper}/edge-review.answer.json.