Parts
not run provisional awaiting approvalWhich claims are components of other claims, and which whole does each belong to?
for Distinct representational properties of cues and contexts shape fear and reversal learning · this layer across all papers · json
Provisional
This layer needs a corpus-scope decision that has not been ruled on yet, so what it produces would change if the decision changed. It waits on claim-format, relation-vocab.
Awaiting approval
Waiting for approval. That is a statement about the record, not about whether anyone has read this: people read the corpus without stamping what they read, and only a stamp leaves a trace. Approval is an operation on a version, not a step of its own — it is recorded against the version it was granted to, so running this layer again does not carry it forward.
Not run for this paper
What would fill it:
python3 scripts/pipeline.py run bouyeure-2026-fear-rsa partsHow 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.
Artifacts
- runs/bouyeure-2026-fear-rsa/parts.output.json · not produced
This layer across the corpus
Across the corpus
9 not run · 1 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…parts re-run against final v3 tree post-stance (#96) | stale | v3 | 2026-09-12 | parts.output.json | json |
| Spatially targeted inhibitory rhythms differentially… | not run | — | — | — | json |
| Feedback of peripheral saccade targets to early fove… | not run | — | — | — | 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/parts.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
- Produces
-
- runs/{paper}/parts.output.json
One per paper — the table above links each one that exists.
- Views
-
- table — rendered above, over the 10 parts in the artifact
- graph — on the paper page, as the claim graph
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> parts
Underneath, that runs cd extract && python3 -m claim_graphs.cli parts --paper {paper}.