scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis
Primary reference; inspect retrieval status and review scope.
Evidence table
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.
14 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.artifact_sha256 ef75f0d63a567f5e9d7132fd847f44838a82a9741ae55323437e1d1812d86316 Source metadata | scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis No field-specific location recorded Version: preprint archived 2025-08-23 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.artifact_url https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12393277/fullTextXML Source metadata | scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis No field-specific location recorded Version: preprint archived 2025-08-23 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.hash_scope Exact retrieved primary paper artifact bytes. Source metadata | scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis No field-specific location recorded Version: preprint archived 2025-08-23 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.retrieved_at 2026-09-17T07:54:48.189925+00:00 Source metadata | scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis No field-specific location recorded Version: preprint archived 2025-08-23 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.review_scope Source identification and table transcription; no independent experimental reproduction. Source metadata | scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis No field-specific location recorded Version: preprint archived 2025-08-23 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.url https://pmc.ncbi.nlm.nih.gov/articles/PMC12393277/ Source metadata | scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis No field-specific location recorded Version: preprint archived 2025-08-23 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.version preprint archived 2025-08-23 Source metadata | scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis No field-specific location recorded Version: preprint archived 2025-08-23 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| description Primary reference; inspect retrieval status and review scope. Source metadata | scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis No field-specific location recorded Version: preprint archived 2025-08-23 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| facets {} Source metadata | scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis No field-specific location recorded Version: preprint archived 2025-08-23 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| id evidence-expansion-scelmo-2025-ef75f0d6 Source metadata | scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis No field-specific location recorded Version: preprint archived 2025-08-23 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
Sources and history
Release 2026-09-17-d277315f7d76 · Record review: source checked
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Stable ID: evidence-expansion-scelmo-2025-ef75f0d6
- url
- https://pmc.ncbi.nlm.nih.gov/articles/PMC12393277/
- version
- preprint archived 2025-08-23
- retrieved at
- 2026-09-17T07:54:48.189925+00:00
- artifact sha256
- ef75f0d63a567f5e9d7132fd847f44838a82a9741ae55323437e1d1812d86316
- artifact url
- https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12393277/fullTextXML
- hash scope
- Exact retrieved primary paper artifact bytes.
- review scope
- Source identification and table transcription; no independent experimental reproduction.