LATTICE: Graph Self-Supervised Learning for Multimodal Spatial Omics Integration
Manuscript statistics
Major revisionpanel verdict · 2026-09-01
Manuscript Statistics — LATTICE: Graph Self-Supervised Learning for
Measured deterministically at ingest, with no model involved. Every figure describes the converted text the panel read, not the PDF.
How the file converted
- Format: markdown via rustypaper 0.2.0
- Section map: read from the document model
- Conversion health: clean
- Fused tokens: 0.0 per 1000 words
- Hyphenated line breaks: 0.0 per 1000 words
- Lost sentence spaces: 0.0 per 1000 words
- Markdown headings emitted by the converter: 55
- Blank-line-separated blocks: 219
- Text matching no known section: 1%
Size
- Words: 6,056
- Main text (excluding references): 3,071
- Reference list: 2,985 words
- Sentences: 327
- Display equations: 29
- Table rows: 32
Prose
- Sentence length: mean 18.87, median 17.0, 90th percentile 32.0 words
- Sentences over 40 words: 5%
- Lexical diversity (MATTR): 0.5688
- Passive constructions: 0.156 per sentence (regex approximation)
Claims and evidence
- Citations: 54 (8.92 per 1000 words), style numeric
- Bibliography: 20 entries typed by the converter
- Numbers: 48.38 per 1000 words
- Hedging language: 4.29 per 1000 words
- Amplifying language: 0.5 per 1000 words
- p-values: 0 exact, 0 reported only as a threshold
By section
Measured over each section separately. The bibliography is left out: hedging and sentence length over a reference list describe a dozen journals' house styles rather than this manuscript.
| Section | Words | Sentences | Mean sentence | Citations/1k | Hedges/1k | Boosters/1k |
|---|---|---|---|---|---|---|
| _preamble | 60 | 1 | 60.0 | 0.0 | 0.0 | 0.0 |
| abstract | 228 | 9 | 25.33 | 0.0 | 13.16 | 4.39 |
| introduction | 834 | 43 | 20.85 | 4.8 | 4.8 | 0.0 |
| related work | 1,740 | 96 | 18.71 | 9.2 | 3.45 | 0.0 |
| conclusion | 203 | 7 | 29.0 | 9.85 | 4.93 | 0.0 |