rewire.itbenchmarks
Evidence claim

scRegNet (Geneformer backbone): uses model Geneformer

Graph learning is combined with a Geneformer backbone; full scRegNet pipeline results are not standalone Geneformer results.

Evidence

Source checking verifies the cited claim or transcription. It does not establish independent reproduction.

Evidence table

Inspect claims, sources and review details

Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.

One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.

6 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-29-06401fd5b220
Property and statementOriginal source and locationReview and provenance
attributes.field
links:uses_model:catalog-model-geneformer
Context-only references
Prediction of Gene Regulatory Connections with Joint Single-Cell Foundation Models and Graph-Based Learning

Original source ↗

Methods scFM encoder and GNN encoder; Tables 2 and 3 scRegNet(w/ Geneformer)

Version: PMC11838224.2
Retrieved: 2026-09-16T10:41:16.541287+00:00

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.field

Source artifact SHA-256: 65b3272d47bb9c4ee1e7a965169bef63add9dbeb31508d4076e5145b761af4ec

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.source_locator
Methods scFM encoder and GNN encoder; Tables 2 and 3 scRegNet(w/ Geneformer)
Context-only references
Prediction of Gene Regulatory Connections with Joint Single-Cell Foundation Models and Graph-Based Learning

Original source ↗

Methods scFM encoder and GNN encoder; Tables 2 and 3 scRegNet(w/ Geneformer)

Version: PMC11838224.2
Retrieved: 2026-09-16T10:41:16.541287+00:00

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.source_locator

Source artifact SHA-256: 65b3272d47bb9c4ee1e7a965169bef63add9dbeb31508d4076e5145b761af4ec

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.target_id
catalog-model-geneformer
Context-only references
Prediction of Gene Regulatory Connections with Joint Single-Cell Foundation Models and Graph-Based Learning

Original source ↗

Methods scFM encoder and GNN encoder; Tables 2 and 3 scRegNet(w/ Geneformer)

Version: PMC11838224.2
Retrieved: 2026-09-16T10:41:16.541287+00:00

not individually reviewed

No individual claim review recorded

Audit details

Field: attributes.target_id

Source artifact SHA-256: 65b3272d47bb9c4ee1e7a965169bef63add9dbeb31508d4076e5145b761af4ec

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

description
Graph learning is combined with a Geneformer backbone; full scRegNet pipeline results are not standalone Geneformer results.
Context-only references
Prediction of Gene Regulatory Connections with Joint Single-Cell Foundation Models and Graph-Based Learning

Original source ↗

Methods scFM encoder and GNN encoder; Tables 2 and 3 scRegNet(w/ Geneformer)

Version: PMC11838224.2
Retrieved: 2026-09-16T10:41:16.541287+00:00

not individually reviewed

No individual claim review recorded

Audit details

Field: description

Source artifact SHA-256: 65b3272d47bb9c4ee1e7a965169bef63add9dbeb31508d4076e5145b761af4ec

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Relationship: subject
reported-model-60455ff7cc0c15
Context-only references
Prediction of Gene Regulatory Connections with Joint Single-Cell Foundation Models and Graph-Based Learning

Original source ↗

Methods scFM encoder and GNN encoder; Tables 2 and 3 scRegNet(w/ Geneformer)

Version: PMC11838224.2
Retrieved: 2026-09-16T10:41:16.541287+00:00

not individually reviewed

No individual claim review recorded

Audit details

Field: links:subject:reported-model-60455ff7cc0c15

Source artifact SHA-256: 65b3272d47bb9c4ee1e7a965169bef63add9dbeb31508d4076e5145b761af4ec

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

name
scRegNet (Geneformer backbone): uses model Geneformer
Context-only references
Prediction of Gene Regulatory Connections with Joint Single-Cell Foundation Models and Graph-Based Learning

Original source ↗

Methods scFM encoder and GNN encoder; Tables 2 and 3 scRegNet(w/ Geneformer)

Version: PMC11838224.2
Retrieved: 2026-09-16T10:41:16.541287+00:00

not individually reviewed

No individual claim review recorded

Audit details

Field: name

Source artifact SHA-256: 65b3272d47bb9c4ee1e7a965169bef63add9dbeb31508d4076e5145b761af4ec

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Sources and history

View linked audit checks and correction history

Release 2026-09-29-06401fd5b220 · Record review: source checked

1 source records and release historyDownload this release
Technical metadata and extraction receipts

Stable ID: model-evaluation-identity-6b8750b0eb008666f1ee

areas
cells-tissues
field
links:uses_model:catalog-model-geneformer
target id
catalog-model-geneformer
source locator
Methods scFM encoder and GNN encoder; Tables 2 and 3 scRegNet(w/ Geneformer)
review
method: automated_source_review; date: 2026-09-23; note: Source review establishes this relationship only. Exact evaluated configurations and original numerical review status remain unchanged. Graph learning is combined with a Geneformer backbone; full scRegNet pipeline results are not standalone Geneformer results.
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