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How to Build and Export a Cross-Paper Synthesis Matrix in Lateral

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A literature review requires synthesizing evidence across dozens or hundreds of academic papers rather than summarizing them one by one. In Lateral, this cross-paper workflow is structured through the Table View, which functions as an interactive synthesis matrix: uploaded papers form the rows, customizable thematic dimensions called Concepts form the columns, and intersecting cells store extracted text snippets, critical notes, and evaluation flags.

This guide outlines how academic researchers configure this matrix in Lateral, populate it using semantic suggestions and multi-document search, and export structured findings into formats suited for drafting literature reviews and managing citations.


1. Setting Up the Literature Review Project

Before building a matrix, researchers need an organized corpus of papers. Lateral handles ingestion and document parsing at the project level.

  1. Create a Dedicated Project: From the main Dashboard, select + New project, assign a descriptive title (such as a thesis topic or specific review question), pick a project color, and select Create and launch project.
  2. Ingest Academic Papers:
    • Direct PDF Upload: Drag and drop downloaded PDFs into the project window. Lateral supports standard academic PDFs and automatically runs background processing to divide each document into paragraph-sized "snippets".
    • Find Papers: Use the built-in search powered by open-access academic databases like Unpaywall (covering over 30 million papers). Researchers can enter keywords or refine queries with boolean operators such as quotes for exact phrases ("deep learning"), OR for broader synonyms, and - to exclude irrelevant topics.
    • OCR Processing: For scanned historical papers or non-digitized PDF files, use the Use OCR tool in the Document View to ensure text passages can be searched, highlighted, and linked into the matrix.

2. Defining Conceptual Dimensions (Matrix Columns)

The columns of a synthesis matrix represent the thematic criteria, analytical variables, or conceptual categories against which every study in the review will be examined. In Lateral, these dimensions are configured as Concepts.

Structuring Core Review Concepts

Common dimensions for academic literature reviews include:

Adding Concepts in Lateral

Researchers can create Concepts in three locations:

Unlike simple tagging systems, Lateral allows researchers to name Concepts using full sentences or descriptive phrases (for example, "Empirical evidence regarding consumer willingness to pay for green packaging"). Lateral's underlying semantic machine learning model uses this textual description to calculate contextual similarity across documents.


3. Populating Matrix Cells Across Papers

Once the rows (documents) and columns (concepts) are established, researchers fill the matrix cells. Lateral provides three complementary ways to gather findings across documents without manually reading every page in linear sequence.

A. AI-Driven Suggested Snippets

The primary acceleration feature in Lateral is its contextual suggestion engine. Lateral's AI does not invent or rephrase text; instead, it identifies semantically similar passages from your uploaded documents based on the words, synonyms, and themes associated with each Concept.

B. Super Search Across All Papers

When targeting specific terminology, measurement instruments, or named theories:

  1. Open Super Search to run queries across every document in the project simultaneously.
  2. Use boolean syntax (AND, OR, -, and "quotes") to isolate relevant excerpts.
  3. Review matching snippets and assign them directly to target Concepts via the dropdown menu on each search result.

C. Manual Document View Highlighting

When reading deep-dive papers in the web-based PDF reader:

  1. Highlight relevant text passages directly on the page.
  2. Assign the highlight to an existing Concept or create a new one in the right sidebar.
  3. Lateral automatically updates the corresponding cell in the Table View.

D. Adding Researcher Notes and Screening Flags

A synthesis matrix requires researcher interpretation alongside raw source quotes:


4. Synthesizing Findings and Identifying Literature Gaps

With cells populated, the Table View serves as an analytical map of the research landscape:


5. Exporting the Synthesis Matrix

To transition from structured research notes into draft writing and citation formatting, Lateral provides several export pipelines accessible via the Export button in the top-right toolbar of the project.

1. Export to Microsoft Word (.docx)

Best suited for drafting literature review sections:

2. Export to Excel (.xlsx)

Best suited for structured data backups and supervisory reviews:

3. Export to CSV

Best suited for migrating organized literature findings into personal knowledge management systems:

4. Exporting References to BibTeX (.bib)

Prior to exporting, researchers should verify document metadata by clicking the document name in the Table View to edit authors, publication year, title, or DOI. Once verified:

5. Sharing via Public Table Link

If collaborators or thesis advisors need to review findings without downloading files or creating full workspace accounts:

  1. Click the Share project button in the top right of the Table View.
  2. Toggle on Public access.
  3. Copy the generated public link. Visitors can view the complete Table View, document list, and concept findings in their browser without gaining access to underlying private PDF files or workspace search controls.

6. Service Status and Current Workflow Recommendations

Researchers referencing Lateral should note that Lateral officially sunset its standalone platform on June 26, 2025, with the founding team redirecting efforts toward open-source research networks (coordination.network). Existing users retained limited access windows to view and export legacy tables.

For researchers building cross-paper synthesis matrices today who do not possess active Lateral archives, recommended alternatives supporting matrix workflows include:


References