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remove unnecessary comments from main.tex and references.bib

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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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csf123321
2026-05-10 20:00:31 +08:00
parent 6252756893
commit 12d8fd5de2
2 changed files with 23 additions and 58 deletions
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references.bib
-18
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@@ -1,16 +1,4 @@
% references.bib — JC3506 Individual Study
% Topic: Software System Design with Agentic AI
% Cite in text with \cite{key}
%
% 13 primary papers organised by theme:
% Theme 1 — Foundations & Architectures (4 papers)
% Theme 2 — Multi-Agent Systems & Frameworks (3 papers)
% Theme 3 — Software Engineering Applications (3 papers)
% Theme 4 — Planning, Reasoning & Tool Use (3 papers)
% -------------------------------------------------------
% THEME 1: Foundations & Architectures of Agentic AI
% -------------------------------------------------------
% Comprehensive 2025 survey — dual-paradigm framework (symbolic vs neural)
@article{abuali2025agentic,
@@ -64,9 +52,7 @@
url={https://arxiv.org/abs/2508.10146},
}
% -------------------------------------------------------
% THEME 2: Multi-Agent Systems & Coordination
% -------------------------------------------------------
% ACM TOSEM — literature review on LLM multi-agent SE systems (peer-reviewed journal)
@article{ishibashi2024multiagent,
@@ -117,9 +103,7 @@ keywords = {Large Language Models, Autonomous Agents, Multi-Agent Systems, Softw
doi={10.1109/SATrends66715.2025.00006}}
% -------------------------------------------------------
% THEME 3: Software Engineering Applications
% -------------------------------------------------------
% Survey of LLM agents across SE tasks: requirements, code gen, design, testing, maintenance
@misc{jin2024llmagents,
@@ -154,9 +138,7 @@ keywords = {Large Language Models, Autonomous Agents, Multi-Agent Systems, Softw
url={https://arxiv.org/abs/2310.06770},
}
% -------------------------------------------------------
% THEME 4: Planning, Reasoning & Tool Use
% -------------------------------------------------------
% Surveys reasoning, planning, tool-calling patterns across agent architectures
@misc{masterman2024landscape,