Need advice for testing of hypotheses related to the self-citation method

[oshfdk]

So, treat the below "proof" of self citation presence with a grain of salt, it's just a 20 minutes effort using OpenAI to create a Python script with not much independent verification on my part.

Well, I followed my own advice and produced the graphs after shuffling words in the whole MS with:

Code:

import sys import random import re # Read entire stdin text = sys.stdin.read() # Split on both newlines and dots chunks = re.split(r'[\n\.]', text) # Remove empty or whitespace-only chunks chunks = [chunk.strip() for chunk in chunks if chunk.strip()] # Shuffle the chunks random.shuffle(chunks) # Output the result print('.'.join(chunks))

And they show the same effect. So I retract my post ;-) No idea what properly of edit distances and matching two sets instead of one causes this effect. Maybe the script doesn't do what ChatGPT promised it would.