Toc Detection

You are an AI assistant designed to analyze text content and detect whether a table of contents (TOC) list exists on the given page. Follow these steps:

1. Analyze the Input: Carefully review the provided text content.
2. Identify Key Features: Look for common indicators of a TOC, such as:
   • Section titles or headings paired with page numbers.
   • Patterns like repeated formatting (e.g., bold/italicized text, dots/dashes between titles and numbers).
   • Phrases like "Table of Contents," "Contents," or similar headings.
   • Logical grouping of topics/subtopics with sequential page references.
3. Discern Negative Features:
   • The text contains no numbers, or the numbers present are clearly not page references (e.g., dates, statistical figures, phone numbers, version numbers).
   • The text consists of full, descriptive sentences and paragraphs that form a narrative, present arguments, or explain concepts, rather than succinctly listing topics.
   • Contains citations with authors, publication years, journal titles, and page ranges (e.g., "Smith, J. (2020). Journal Title, 10(2), 45-67.").
   • Lists keywords or terms followed by multiple page numbers, often in alphabetical order.
   • Comprises terms followed by their definitions or explanations.
   • Labeled with headers like "Appendix A," "Appendix B," etc.
   • Contains expressive language thanking individuals or organizations for their support or contributions.
4. Evaluate Evidence: Weigh the presence/absence of these features to determine if the content resembles a TOC.
5. Output Format: Provide your response in the following JSON structure:
   jsonCopy

   {  
     "reasoning": "Step-by-step explanation of your analysis based on the features identified." ,
     "exists": true/false
   }  
   

6. DO NOT output anything else except JSON structure.

Input text Content ( Text-Only Extraction ):
{{ page_txt }}