papersnap
1.0.0
欢迎来到PaperSNAP存储库！我们的主要目标是促进从研究论文中提取重要信息，并将其组织成全面的思维图。为了实现这一目标，我们利用了一个名为Claude的强大语言模型，该模型有能力处理具有多达100,000个令牌的文档。
创建一个帐户：要开始，您需要在POE上拥有一个帐户。
使用PapersNap bot： https：//poe.com/papersnap
上传您的论文：准备要从中提取信息的研究论文。您可以将纸上传为PDF，也可以将其复制并直接粘贴到POE的界面中。
生成思维图：提供必要的输入后，让PapersNap Bot起作用！它将处理纸张并生成一个心理图，其中包含Markdown中最重要的信息。
查看结果：一旦PapersNap Bot完成了分析，您将在Markdown中向您提供Mind Map。要以用户友好的格式可视化和探索此思维地图，我们建议使用MarkMap。
创建一个帐户：要开始，您需要在Claude上拥有一个帐户。如果您还没有一个，请注册 - 它是免费的，轻松的（美国，英国）！
上传您的论文：准备要从中提取信息的研究论文。您可以将纸上上传为PDF或复制，然后将其文本直接粘贴到Claude的界面中。
设置PapersNap提示：在Claude，Paste PapersNap提示中。该提示已被优化，以指导Claude有效提取关键信息。
生成思维图：提供必要的输入后，让Claude发挥其魔力！它将处理纸张并生成一个心理图，其中包含Markdown中最重要的信息。
查看结果：一旦Claude完成了分析，您将在Markdown中使用Mind Map介绍。要以用户友好的格式可视化和探索此思维地图，我们建议使用MarkMap。
效率：从研究论文中提取基本细节可能很耗时。 PapersNap自动化此过程，为您节省了宝贵的时间和精力。
全面性： PaperSNAP生成的思维图提供了研究论文的关键概念，发现和见解的全面概述。
简单性：通过利用PapersNap和Claude，您可以快速将复杂的研究论文提炼成易于理解的视觉表示。
我们认为，PapersNap加上Claude提供了一种创新的方法来增强研究论文分析。随意探索我们的存储库，按照上述步骤操作，并发现论文NAP如何简化您的研究过程。
对于任何查询，反馈或支持，请随时与我们联系。
快乐的纸张分析和思维映射！
Extract the following information from the paper :
# PAPERSNAPv1: {Exact title of the research paper}
## ? Citation Information:
- Author(s): Name all authors in sequence.
- Title: Exact title of the research paper.
- Journal/Source: Specific journal, volume, and issue or other publication source.
- Publication Year: Year the paper was published.
- Pages: Range of pages or article number.
- DOI/URL: Direct link or unique identifier.
- Affiliation: Mention the institutions or organizations the authors are affiliated with.
## ? Contextual Insight:
* In a Sentence: Condense the abstract into a single, easily understandable sentence.
* Keywords: List key terms that frequently appear in the abstract and might be central to the paper's theme.
- Gap/Need: Define the existing gap or need that the paper addresses. Detail how the research fits or contrasts within the broader academic landscape.
- Novelty: How does this research stand out from existing works? What's new or innovative about the methods, results, or conclusions?
- Target Audience: Who would benefit most from this research? Academics, industry professionals, policymakers, or the general public?
- Jargon Density: Was the paper heavy on jargon, or was it relatively easy to understand?
- Recommendation: Would you recommend this paper to a novice, an intermediate reader, or only to experts in the field?
## ? Purpose/Objective:
- Goal: Explicitly state the paper's primary aim or objective.
- Research Questions/Hypotheses: Clearly list the central research questions or hypotheses.
- Significance: Why did the authors feel this research was necessary? What larger issues does it hope to address or solve?
## ? Background Knowledge:
- Core Concepts: List foundational concepts that the paper frequently references or assumes the reader knows. Define them succinctly.
- Preliminary Theories: Highlight any theories or models that the research paper builds upon or critiques. Provide a brief description of each.
* Contextual Timeline: Provide a brief timeline of the major developments in the field leading up to the current paper, helping readers to understand the chronological evolution.
- Prior Research: Point out significant previous studies that paved the way for this paper. Mention their primary findings and relevance.
- Terminology: List any specialized terms or jargons used in the paper, and provid clear definitions for each.
- Essential Context: Sometimes, external events, trends, or shifts in the field can influence a paper. Mention any such context that would help a reader better understand the paper's motivations or implications.
## Methodology:
- Research Design & Rationale: Outlines step by step type, implications, and the reasoning behind design choices.
- Participants/Subjects: Describe step by step sample size, demographics, and selection criteria.
- Instruments/Tools: Note step by step instruments, datasets or tools utilized, detailing their validity and reliability.
- Data Collection: Describe step by step the process, locations, duration, and controls during data gathering.
- Data Analysis Techniques: Explain step by step the techniques, software, and rationale.
- Ethical Considerations: Highlight step by step any ethical aspects and resolutions.
- Comparison to Standard: Does the methodology adhere to standard practices in the field? If it deviates, how and why?
- Replicability Score: On a scale of 1-10, how easy would it be for another researcher to replicate the study based on the provided methodology?
## Main Results/Findings:
- List of metrics: list for each metric: definition, importance, implications, and contextual relevance.
- Graphs/Tables: Highlight any key graphs, figures, or tables that provide a significant understanding of the results. Provide a brief description of each.
- Outcomes: List primary outcomes or findings figures and tables.
- Data & Code Availability: Indicate whether the paper provides access to the data and code, which is essential for reproducibility and further research.
- Statistical Significance: Highlight if the findings were statistically significant and any p-values associated.
- Unintended Findings: Sometimes, research can produce unexpected results. Mention these serendipitous discoveries.
## Discussion & Interpretation:
- Authors' Views: Examine the authors' interpretations and implications.
- Comparative Analysis: How do the authors' interpretations compare to previous work or general beliefs in the field?
- Contradictions: Are there any points in the discussion that seem to contradict earlier sections or external research?
## Limitations:
- List: Mention any study weaknesses, constraints, and biases.
- Mitigations: If the authors mention limitations, do they also suggest ways they tried to mitigate or account for these limitations?
## ?️ Conclusions:
- Takeaways: Extract core conclusions and emergent themes.
- Practical Implications: Beyond academic impact, how does the paper suggest its findings could be applied in practice?
* Potential Impact: If these future works were pursued, what potential impact could they have on the field or real-world applications?
## Future Work:
- Authors' Proposals: Highlight the avenues for further research or follow-up studies as suggested specifically by the authors.
## References:
- Notable Citations: Highlight crucial references related to the paper's content or the reader's interest.
## Relevance:
- Significance: Describe how the paper relates to current trends or personal trajectories.
- Real-world Implications: How can the research be applied in real-world situations or industries?
## Textual Mind Map:
List all sections from the research paper. This will serve as the main branches of your mind map. In each section extract:
- Central Ideas: Under each section, pinpoint the predominant ideas. These will form the sub-branches connected to the main branches.
- Significant Facts: Identify standout facts within the sections that are crucial or unexpected.
- Key Arguments: Extract and list pivotal arguments presented within each section, particularly those central to the paper's primary thesis.
- Interconnections: Highlight connections between various ideas, facts, or arguments across sections, showcasing the integrative nature of the paper.
## ? Key Quotes:
- list significant statements or sentences that encapsulate crucial points or findings of the paper.
## ? Personal Insights/Comments:
- Opinions: Critique, praise, raise questions, or cross-reference with other known papers or information.
Use markdown for a clear, hierarchical representation, employing bullet points, highlight verbs interesting concepts in bold ( ` **bold text** ` ), and italic ( ` *italic text* ` ) as needed. keep icons and sections as defined.
