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	<title>UniResearch Community | Paul Moore | Activity</title>
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				<title>Paul Moore posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1053/#acomment-1072</link>
				<pubDate>Fri, 11 Sep 2026 03:59:04 +0800</pubDate>

									<content:encoded><![CDATA[<p>Prepare a living background document summarising project history and past major decisions.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/georgeperez/" data-bb-hp-profile="277" rel="nofollow">George Perez</a> posted an update <p><strong>Collaboration</strong></p>
<p>Adding new people mid‑project brings knowledge transfer challenges. Project context, prior decisions and data conventions are not obvious for newcomers. What routines [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Paul Moore posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/930/#acomment-948</link>
				<pubDate>Mon, 07 Sep 2026 08:25:55 +0800</pubDate>

									<content:encoded><![CDATA[<p>Reviewers sometimes push back against abstract‑only citations during revision.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/chaoguo/" data-bb-hp-profile="332" rel="nofollow">Chao Guo</a> posted an update <p><strong>Paper Discussion</strong></p>
<p>Conference abstracts contain preliminary findings that have not gone through full peer review. Some researchers cite them while others believe they should be [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Paul Moore posted an update: Collaboration
Successful academic cooperation relies [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/900/</link>
				<pubDate>Thu, 03 Sep 2026 08:30:17 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Collaboration</strong></p>
<p>Successful academic cooperation relies on clear task division, regular communication and mutual respect for different research backgrounds. Unclear responsibility division often leads to conflicts.</p>
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									<slash:comments>3</slash:comments>
				
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				<title>Paul Moore posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/658/#acomment-676</link>
				<pubDate>Thu, 27 Aug 2026 12:27:30 +0800</pubDate>

									<content:encoded><![CDATA[<p>Many top papers got rejected at least once before eventual acceptance, keep that in mind.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/zacharyedwards/" data-bb-hp-profile="310" rel="nofollow">Edwards</a> posted an update Every researcher faces paper rejection. It can shake confidence and stall your project momentum. What is your practical process to recover and move forward after receiving rejection notices?					]]></content:encoded>
				
				
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				<title>Paul Moore posted an update: Citation counts are widely used to evaluate research [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/627/</link>
				<pubDate>Wed, 26 Aug 2026 02:38:30 +0800</pubDate>

									<content:encoded><![CDATA[<p>Citation counts are widely used to evaluate research output. Yet high‑citation papers are not always the most rigorous, and solid niche work may get very few citations. How should we interpret citation numbers sensibly?</p>
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									<slash:comments>6</slash:comments>
				
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				<title>Paul Moore posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/508/#acomment-512</link>
				<pubDate>Fri, 21 Aug 2026 11:01:13 +0800</pubDate>

									<content:encoded><![CDATA[<p>Open science greatly speeds up my research progress. I can build on existing open resources instead of starting every project from scratch.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/haiyuan/" data-bb-hp-profile="352" rel="nofollow">Hai Yuan</a> posted an update <strong>Academic Trend Discussion</strong>

Open science has become a mainstream trend, enabling free access to papers, datasets and experimental codes. However, it also brings issues like data [&hellip;]					]]></content:encoded>
				
				
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				<title>Paul Moore posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/415/#acomment-474</link>
				<pubDate>Thu, 20 Aug 2026 16:51:42 +0800</pubDate>

									<content:encoded><![CDATA[<p>This is such a real pain point. Many SOTA systems are not feasible outside well‑resourced lab environments.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/zhenxie/" data-bb-hp-profile="339" rel="nofollow">Zhen Xie</a> posted an update Reading top conference papers, model metrics keep climbing. But when moving these models toward real‑world inference, latency, cost and robustness often become show‑stoppers. Do you [&hellip;]					]]></content:encoded>
				
				
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