---
schema: 1
type: term
title: '**inline citations**'
description: >-
  **Inline citations** are source references placed directly within the body of
  a text — next to the specific claims or passages they support — so a reader
  can trace each statement back to its origin without leaving the document. In
  this channel’s captured material, the term is used in the context of AI
  research tools like _NotebookLM_, where answers can carry inline citations
  that point back to the underlying sources.
canonical: >-
  https://liquidgold.cc/channel/everyinc/explore/term/inline-citations-56c249fca497
markdown: >-
  https://liquidgold.cc/channel/everyinc/explore/term/inline-citations-56c249fca497.md
llms: null
parent: 'https://liquidgold.cc/channel/everyinc/llms.txt'
channel: everyinc
updated: '2026-10-23T22:12:35.346Z'
language: null
children: []
---


# \*\*inline citations\*\*

Canonical: https://liquidgold.cc/channel/everyinc/explore/term/inline-citations-56c249fca497

Parent: [Channel index](https://liquidgold.cc/channel/everyinc/llms.txt)

## Definition

**Inline citations** are source references placed directly within the body of a text — next to the specific claims or passages they support — so a reader can trace each statement back to its origin without leaving the document. In this channel’s captured material, the term is used in the context of AI research tools like _NotebookLM_, where answers can carry inline citations that point back to the underlying sources.

Inline citations appear in this channel’s material in the context of **researching and reading with AI**, specifically around *NotebookLM*, Google’s research assistant, in the episode with **Steven Johnson** about whether NotebookLM is the “ultimate tool for thought” [^0cc0dd07-dc88-5d83-8cf7-2f6e48821796].The channel’s material on learning, reading, and research with AI emphasizes one spine across practitioners’ workflows: **ask AI for structure first, then do the understanding yourself**. Inline citations are part of that story because they let you explore a claim and understand where it came from, rather than taking the AI’s answer on faith — the same grounding-first mindset that shapes how these tools are evaluated in this material.- **Inline citations** sit directly inside the text you are reading, next to the claims they support.- In this channel, the term is grounded in the *NotebookLM* episode with Steven Johnson, part of the topic *Learning, Reading, and Research with AI*.- The broader workflow is: get structure from AI, then follow the citations yourself to verify and go deeper.