updated outline for paper from issue

paper/src/auto/main.el

@@ -6,11 +6,14 @@
    (setq TeX-command-extra-options
          "-file-line-error -interaction=nonstopmode")
    (TeX-add-to-alist 'LaTeX-provided-class-options
-                     '(("report" "12pt") ("article" "12pt") ("acmart" "sigconf" "nonacm")))
+                     '(("report" "12pt") ("article" "12pt") ("acmart" "sigconf" "nonacm" "natbib=false")))
    (TeX-run-style-hooks
     "latex2e"
     "preamble"
     "chapters/01-intro"
+    "chapters/02-literature-review"
+    "chapters/03-methodology"
+    "../build/concatenated_code"
     "acmart"
     "acmart10")
    (TeX-add-symbols

paper/src/chapters/01-intro.tex

@@ -6,5 +6,11 @@
 %%   \label{fig:example}
 %% \end{figure}
 
-\section{Know They Enemy}
+\section{Introduction}
-To know how to overcome we need to
+
+Research Objectives and Contribution: What are we making, why and who should care?
+
+\subsection{Motivation and Market Context}
+Current market dynamics and trends of dynamic pricing and AI agents. Future projections of AI agents. Key stakeholders that are discussing this and reporting on it (Thales). Who is most affected
+\subsection{Solution Space Overview}
+Different approaches and perspectives, here also add a preview of what will be developed and explored in the lit review.

paper/src/chapters/02-literature-review.tex

@@ -0,0 +1,17 @@
+\section{Literature Review}
+
+\subsection{Foundational Concepts}
+
+What is the taxonomy and definition of an agent and an actor in this case, a bit more about interaction models in sessions and about dynamic pricing algorithms.
+
+\subsection{Problem Evidence and Market Impact}
+Documented instances of agent-driven market disruptions - Quantitative evidence of pricing manipulation - Case studies from affected industries
+
+\subsection{Theoretical Foundations: Economic Prallels}
+
+Economic foundations: relating the problem to options pricing theory. Cost of Information (COI) concept and its relevance
+
+\subsection{Landscape of Existing Work}
+
+Previous efforts in adversarial computer use LLM agents, show how multi-faceted the whole problem is
+Here we can show a market visualization (venn-like-diagram)

paper/src/chapters/03-methodology.tex

@@ -0,0 +1,51 @@
+\section{Methodology}
+
+
+\subsection{Problem Formalization}
+
+Mathematical formalization of agent-induced pricing distortions. Formal definition of potential loss mechanisms $\alpha D$
+
+\subsection{Cost of Information Framework}
+
+Mathematical demonstration and validation of the COI and citation backed evidence, and framework overview + show harm to user via other cost distortions. Maybe split into 3.2.1 (COI Theory) and 3.2.2 (Framework Design)
+
+\subsection{System Architecture}
+\begin{figure}[ht]
+\centering
+\begin{tikzpicture}[
+  node distance=1.5cm and 2.5cm,
+  box/.style={rectangle, draw, thick, minimum height=1cm, minimum width=3cm, align=center, fill=blue!10},
+  kafka/.style={rectangle, draw=orange, thick, minimum height=1cm, minimum width=3cm, align=center, fill=orange!15},
+  arrow/.style={thick,->,>=Stealth}
+]
+
+% Nodes
+\node[box] (webapp) {Web Application \\ (Producer \& Consumer)};
+\node[kafka, below=of webapp] (kafka) {Apache Kafka \\ Cluster};
+\node[box, below=of kafka] (backend) {Backend Services / Microservices \\ (Producers and Consumers)};
+
+% Connections
+\draw[arrow] (webapp) to[out=210,in=150] node[above]{Publish} (kafka);
+\draw[arrow] (kafka) to[out=50,in=330] node[below]{Consume} (webapp);
+\draw[arrow] (backend) -- node[above]{Publish/Consume} (kafka);
+
+% Optional: Kafka internal components
+%\node[below=0.7cm of kafka, align=center] (topics) {Topics \\ Partitions};
+
+% Optional background
+\begin{scope}[on background layer]
+  \node[draw, rounded corners, fill=orange!5, fit=(kafka) (topics), inner sep=0.3cm] {};
+\end{scope}
+\end{tikzpicture}
+\caption{Technical Diagram}
+\end{figure}
+
+High level overview of how it works
+\subsection{Experimental Design}
+Study methodology and approach. Data acquisition strategy. Defined objectives and success criteria. Observable metrics and KPIs
+
+\subsection{Dynamic Pricing Algorithm Analysis}
+Deep dive into how the algorithm works, different kinds and justification for chosen appraoches + agent impact modeling and quantification.
+\subsection{Reinforcement Learning Formulation}
+How do we define the state space, action space and reward function breakdown and algorithm benchmarking.
+POSSIBLY: Expand into full subsections: 3.6.1 (State-Action Space), 3.6.2 (Reward Design), 3.6.3 (Benchmarking)

paper/src/main.tex

@@ -35,6 +35,9 @@ The primary objective of this thesis is to develop and validate pricing heuristi
 \maketitle
 
 \input{chapters/01-intro}
+\input{chapters/02-literature-review}
+\input{chapters/03-methodology}
+
 
 \printbibliography
 

paper/src/preamble.tex

@@ -4,10 +4,11 @@
 \usepackage{csquotes}
 \usepackage{subcaption}
 \usepackage{siunitx}
-
+\usepackage{tikz}
 \usepackage{listings}
 \usepackage{xcolor}
 
+\usetikzlibrary{positioning, shapes, arrows.meta, fit, backgrounds}
 \lstset{
     basicstyle=\ttfamily\footnotesize,
     breaklines=true,