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    <title>PaperTrace Research Signals</title>
    <link>https://yayajjiang.github.io/PaperTrace/radar</link>
    <description>Bilingual, evidence-aware research headlines across fields · 跨领域双语科研信号</description>
    <language>en-US</language>
    <lastBuildDate>Thu, 01 Oct 2026 21:51:18 GMT</lastBuildDate>
    <ttl>480</ttl>
    <item>
      <title>Are you a Codex Original?</title>
      <link>https://openai.com/form/codex-originals</link>
      <guid isPermaLink="false">papertrace:914f14710638</guid>
      <pubDate>Mon, 28 Sep 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>We’re collecting real stories of builders, tinkerers, researchers, and creators who are using Codex to do incredible things. If you want to be a part of the next chapter of the Codex Originals program, tell us more about your story and project below.

中文：We’re collecting real stories of builders, tinkerers, researchers, and creators who are using Codex to do incredible things. If you want to be a part of the next chapter of the Codex Originals program, tell us more about your story and project below.

Source: OpenAI · Impact 84 · Buzz 87 · Utility 90</description>
    </item>
    <item>
      <title>How Albertsons Companies is reimagining retail from the inside out</title>
      <link>https://openai.com/index/albertsons-reimagining-retail</link>
      <guid isPermaLink="false">papertrace:a80484c2d584</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Albertsons Cos. is using ChatGPT Enterprise and the OpenAI API to help teams work faster and make grocery shopping easier for millions of customers.

中文：Albertsons Cos. is using ChatGPT Enterprise and the OpenAI API to help teams work faster and make grocery shopping easier for millions of customers.

Source: OpenAI · Impact 78 · Buzz 93 · Utility 82</description>
    </item>
    <item>
      <title>DevDay 2026 Recap</title>
      <link>https://openai.com/index/devday-2026-recap</link>
      <guid isPermaLink="false">papertrace:19db7cc5ca5c</guid>
      <pubDate>Tue, 29 Sep 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Explore more than 20 announcements from OpenAI DevDay 2026, including GPT-6 Astra, ChatGPT, Codex, APIs, security, and new tools for builders.

中文：Explore more than 20 announcements from OpenAI DevDay 2026, including GPT-6 Astra, ChatGPT, Codex, APIs, security, and new tools for builders.

Source: OpenAI · Impact 78 · Buzz 89 · Utility 90</description>
    </item>
    <item>
      <title>Introducing GPT-6.1 Sol</title>
      <link>https://openai.com/index/introducing-gpt-6-1-sol</link>
      <guid isPermaLink="false">papertrace:dd66acaed2a0</guid>
      <pubDate>Tue, 29 Sep 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Meet GPT-6.1 Sol: near-Astra intelligence for coding, computer use, and professional work at one-fifth of Astra’s standard API input and output token prices.

中文：Meet GPT-6.1 Sol: near-Astra intelligence for coding, computer use, and professional work at one-fifth of Astra’s standard API input and output token prices.

Source: OpenAI · Impact 78 · Buzz 89 · Utility 82</description>
    </item>
    <item>
      <title>MerKurio: sequence extraction and annotation based on matching k-mers</title>
      <link>https://arxiv.org/abs/2609.39830v1</link>
      <guid isPermaLink="false">papertrace:db92b36260d6</guid>
      <pubDate>Wed, 30 Sep 2026 12:00:00 GMT</pubDate>
      <category>Bio &amp; Medicine</category>
      <description>K-mers, short subsequences of length k, play an important role in computational analyses using biological sequence data. A critical downstream processing step involves getting back to the source sequences of selected k-mers for further analysis or validation. Here, we present Mer

中文：K-mers, short subsequences of length k, play an important role in computational analyses using biological sequence data. A critical downstream processing step involves getting back to the source sequences of selected k-mers for further analysis or validation. Here, we present Mer

Source: arXiv · Bio · Impact 73 · Buzz 76 · Utility 90</description>
    </item>
    <item>
      <title>CellMSA: Context Modeling for Single-Cell Representation Learning</title>
      <link>https://arxiv.org/abs/2609.38908v1</link>
      <guid isPermaLink="false">papertrace:e6c062346c94</guid>
      <pubDate>Wed, 30 Sep 2026 12:00:00 GMT</pubDate>
      <category>Bio &amp; Medicine</category>
      <description>Single-cell transcriptomics enables profiling of cellular states at unprecedented resolution, but its high dimensionality, sparsity, and technical batch effects pose significant challenges for representation learning. Existing single-cell foundation models typically encode each c

中文：Single-cell transcriptomics enables profiling of cellular states at unprecedented resolution, but its high dimensionality, sparsity, and technical batch effects pose significant challenges for representation learning. Existing single-cell foundation models typically encode each c

Source: arXiv · Bio · Impact 73 · Buzz 76 · Utility 90</description>
    </item>
    <item>
      <title>Ranking-Aware Prompt Optimization for Multimodal Clinical Diagnosis</title>
      <link>https://arxiv.org/abs/2609.40361v1</link>
      <guid isPermaLink="false">papertrace:5155b289a771</guid>
      <pubDate>Wed, 30 Sep 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Multimodal large language models (MLLMs) are rapidly advancing clinical diagnosis, yet their adaptation pipelines remain anchored to accuracy-based objectives. Clinical data are heavily class-imbalanced: a constant-majority predictor can score above 90% accuracy while being clini

中文：Multimodal large language models (MLLMs) are rapidly advancing clinical diagnosis, yet their adaptation pipelines remain anchored to accuracy-based objectives. Clinical data are heavily class-imbalanced: a constant-majority predictor can score above 90% accuracy while being clini

Source: arXiv · AI &amp; CS · Impact 73 · Buzz 76 · Utility 90</description>
    </item>
    <item>
      <title>Semifactual Credit-Augmented Policy Optimization</title>
      <link>https://arxiv.org/abs/2609.40360v1</link>
      <guid isPermaLink="false">papertrace:347f7646bbb8</guid>
      <pubDate>Wed, 30 Sep 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Reinforcement learning with verifiable rewards (RLVR) has improved the reasoning capabilities of large language models (LLMs), yet their predictions remain sensitive to task-irrelevant prompt features. We investigate this sensitivity through semifactual prompt interventions that 

中文：Reinforcement learning with verifiable rewards (RLVR) has improved the reasoning capabilities of large language models (LLMs), yet their predictions remain sensitive to task-irrelevant prompt features. We investigate this sensitivity through semifactual prompt interventions that 

Source: arXiv · AI &amp; CS · Impact 73 · Buzz 76 · Utility 90</description>
    </item>
    <item>
      <title>ViTeX-Bench: Benchmarking High-Fidelity Video Scene Text Editing</title>
      <link>https://arxiv.org/abs/2609.40356v1</link>
      <guid isPermaLink="false">papertrace:7ac3f7734e2a</guid>
      <pubDate>Wed, 30 Sep 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Recent video generation is increasingly realistic and controllable, yet video editing remains less developed, particularly for precise local edits that must preserve the original scene dynamics. Video scene text editing replaces text on scene surfaces, such as storefront signs, w

中文：Recent video generation is increasingly realistic and controllable, yet video editing remains less developed, particularly for precise local edits that must preserve the original scene dynamics. Video scene text editing replaces text on scene surfaces, such as storefront signs, w

Source: arXiv · AI &amp; CS · Impact 73 · Buzz 76 · Utility 90</description>
    </item>
    <item>
      <title>Image Classifiers are Efficient Self-Supervised Video Representation Learners</title>
      <link>https://arxiv.org/abs/2609.40347v1</link>
      <guid isPermaLink="false">papertrace:78c1bce5c668</guid>
      <pubDate>Wed, 30 Sep 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>We introduce VideoMSN, a Masked Siamese Network framework for efficient self-supervised spatio-temporal representation learning in videos. Instead of relying on heavy 3D architectures or reconstruction-based autoencoders for learning with unlabeled data, we repurpose standard ima

中文：We introduce VideoMSN, a Masked Siamese Network framework for efficient self-supervised spatio-temporal representation learning in videos. Instead of relying on heavy 3D architectures or reconstruction-based autoencoders for learning with unlabeled data, we repurpose standard ima

Source: arXiv · AI &amp; CS · Impact 73 · Buzz 76 · Utility 90</description>
    </item>
    <item>
      <title>Towards safety cases for frontier AI training</title>
      <link>https://openai.com/index/towards-safety-cases-for-frontier-ai-training</link>
      <guid isPermaLink="false">papertrace:cf468ec39dd6</guid>
      <pubDate>Mon, 28 Sep 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Our early guidelines for safety cases in frontier AI training cover technical safeguards, operational practices, and investigating misalignment incidents

中文：Our early guidelines for safety cases in frontier AI training cover technical safeguards, operational practices, and investigating misalignment incidents

Source: OpenAI · Impact 91 · Buzz 87 · Utility 58</description>
    </item>
    <item>
      <title>Disrupting a coordinated model-distillation campaign</title>
      <link>https://openai.com/index/disrupting-a-coordinated-model-distillation-campaign</link>
      <guid isPermaLink="false">papertrace:6a91381a4292</guid>
      <pubDate>Wed, 30 Sep 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Learn how OpenAI disrupted a campaign to extract protected model reasoning and is strengthening defenses against adversarial distillation.

中文：Learn how OpenAI disrupted a campaign to extract protected model reasoning and is strengthening defenses against adversarial distillation.

Source: OpenAI · Impact 84 · Buzz 90 · Utility 58</description>
    </item>
    <item>
      <title>OpenAI releases GPT-6 Astra</title>
      <link>https://openai.com/index/gpt-6-astra/</link>
      <guid isPermaLink="false">papertrace:openai-gpt-6-astra-2026</guid>
      <pubDate>Thu, 03 Sep 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Astra is rolling out from limited organizational access to ChatGPT, Codex and API surfaces. OpenAI reports major gains in computer use, coding, science and cybersecurity; benchmark numbers remain vendor-reported until independently reproduced.

中文：Astra 正从少量组织逐步开放到 ChatGPT、Codex 与 API。OpenAI 报告其在计算机操作、代码、科学与网络安全上大幅提升；相关基准在独立复现前仍属于厂商自报。

Source: OpenAI · Impact 98 · Buzz 99 · Utility 88</description>
    </item>
    <item>
      <title>The eternal complement</title>
      <link>https://openai.com/index/the-eternal-complement</link>
      <guid isPermaLink="false">papertrace:7e67b43cf9d0</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>Social Science</category>
      <description>Advanced AI may matter most for the routine work behind breakthrough ideas. Explore why execution could shape the next economy and the pace of progress.

中文：Advanced AI may matter most for the routine work behind breakthrough ideas. Explore why execution could shape the next economy and the pace of progress.

Source: OpenAI · Impact 78 · Buzz 93 · Utility 58</description>
    </item>
    <item>
      <title>Barclays scales Claude to upgrade operations and improve client experience</title>
      <link>https://www.anthropic.com/news/barclays-scales-claude</link>
      <guid isPermaLink="false">papertrace:91b1f786ee50</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Announcements from Anthropic&apos;s official newsroom. Open the primary source for the full claim and evidence.

中文：来自 Anthropic 官方 Newsroom 的Announcements；请打开原始来源查看完整主张与证据。

Source: Anthropic · Impact 84 · Buzz 82 · Utility 58</description>
    </item>
    <item>
      <title>Gibbs Sampling in the Shattered Phase by Decoded Quantum Interferometry</title>
      <link>https://arxiv.org/abs/2609.40345v1</link>
      <guid isPermaLink="false">papertrace:e600ceca6acd</guid>
      <pubDate>Wed, 30 Sep 2026 12:00:00 GMT</pubDate>
      <category>Math &amp; Stats</category>
      <description>We apply Decoded Quantum Interferometry (DQI) to sample from the Gibbs measures of classical Ising spin Hamiltonians. We show that this Gibbs sampling problem reduces to a quantum decoding problem, and the temperature achievable by DQI is determined by the performance of decoding

中文：We apply Decoded Quantum Interferometry (DQI) to sample from the Gibbs measures of classical Ising spin Hamiltonians. We show that this Gibbs sampling problem reduces to a quantum decoding problem, and the temperature achievable by DQI is determined by the performance of decoding

Source: arXiv · Physics · Impact 66 · Buzz 76 · Utility 90</description>
    </item>
    <item>
      <title>Codex 0.160.0</title>
      <link>https://github.com/openai/codex/releases/tag/rust-v0.160.0</link>
      <guid isPermaLink="false">papertrace:codex-release-401312540</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Stable release. ## New Features - Browse older tasks in the agent command center with a keyboard-accessible “Show more” action. (#49106) - Select transcript text and paste with middle-click in fullscreen mode on supported local Linux X11 terminals. (#49112) - Start sessions outside a project wit

中文：稳定版本。## New Features - Browse older tasks in the agent command center with a keyboard-accessible “Show more” action. (#49106) - Select transcript text and paste with middle-click in fullscreen mode on supported local Linux X11 terminals. (#49112) - Start sessions outside a project wit

Source: OpenAI Codex · GitHub · Impact 72 · Buzz 68 · Utility 86</description>
    </item>
    <item>
      <title>Codex 0.161.0-alpha.9 · Preview</title>
      <link>https://github.com/openai/codex/releases/tag/rust-v0.161.0-alpha.9</link>
      <guid isPermaLink="false">papertrace:codex-release-400778004</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Preview release. Release 0.161.0-alpha.9

中文：预发布版本。Release 0.161.0-alpha.9

Source: OpenAI Codex · GitHub · Impact 72 · Buzz 68 · Utility 86</description>
    </item>
    <item>
      <title>Codex 0.161.0-alpha.8 · Preview</title>
      <link>https://github.com/openai/codex/releases/tag/rust-v0.161.0-alpha.8</link>
      <guid isPermaLink="false">papertrace:codex-release-400698028</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Preview release. Release 0.161.0-alpha.8

中文：预发布版本。Release 0.161.0-alpha.8

Source: OpenAI Codex · GitHub · Impact 72 · Buzz 68 · Utility 86</description>
    </item>
    <item>
      <title>Codex 0.161.0-alpha.7 · Preview</title>
      <link>https://github.com/openai/codex/releases/tag/rust-v0.161.0-alpha.7</link>
      <guid isPermaLink="false">papertrace:codex-release-400636696</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Preview release. Release 0.161.0-alpha.7

中文：预发布版本。Release 0.161.0-alpha.7

Source: OpenAI Codex · GitHub · Impact 72 · Buzz 68 · Utility 86</description>
    </item>
    <item>
      <title>Codex 0.161.0-alpha.6 · Preview</title>
      <link>https://github.com/openai/codex/releases/tag/rust-v0.161.0-alpha.6</link>
      <guid isPermaLink="false">papertrace:codex-release-400602811</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Preview release. Release 0.161.0-alpha.6

中文：预发布版本。Release 0.161.0-alpha.6

Source: OpenAI Codex · GitHub · Impact 72 · Buzz 68 · Utility 86</description>
    </item>
    <item>
      <title>Codex 0.161.0-alpha.13 · Preview</title>
      <link>https://github.com/openai/codex/releases/tag/rust-v0.161.0-alpha.13</link>
      <guid isPermaLink="false">papertrace:codex-release-401156642</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Preview release. Release 0.161.0-alpha.13

中文：预发布版本。Release 0.161.0-alpha.13

Source: OpenAI Codex · GitHub · Impact 72 · Buzz 68 · Utility 86</description>
    </item>
    <item>
      <title>Codex 0.161.0-alpha.12 · Preview</title>
      <link>https://github.com/openai/codex/releases/tag/rust-v0.161.0-alpha.12</link>
      <guid isPermaLink="false">papertrace:codex-release-401063591</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Preview release. Release 0.161.0-alpha.12

中文：预发布版本。Release 0.161.0-alpha.12

Source: OpenAI Codex · GitHub · Impact 72 · Buzz 68 · Utility 86</description>
    </item>
    <item>
      <title>Codex 0.161.0-alpha.11 · Preview</title>
      <link>https://github.com/openai/codex/releases/tag/rust-v0.161.0-alpha.11</link>
      <guid isPermaLink="false">papertrace:codex-release-400940186</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Preview release. Release 0.161.0-alpha.11

中文：预发布版本。Release 0.161.0-alpha.11

Source: OpenAI Codex · GitHub · Impact 72 · Buzz 68 · Utility 86</description>
    </item>
    <item>
      <title>Codex 0.161.0-alpha.10 · Preview</title>
      <link>https://github.com/openai/codex/releases/tag/rust-v0.161.0-alpha.10</link>
      <guid isPermaLink="false">papertrace:codex-release-400858796</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Preview release. Release 0.161.0-alpha.10

中文：预发布版本。Release 0.161.0-alpha.10

Source: OpenAI Codex · GitHub · Impact 72 · Buzz 68 · Utility 86</description>
    </item>
    <item>
      <title>Codex 0.159.0-alpha.12.1 · Preview</title>
      <link>https://github.com/openai/codex/releases/tag/rust-v0.159.0-alpha.12.1</link>
      <guid isPermaLink="false">papertrace:codex-release-401290664</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Preview release. Release 0.159.0-alpha.12.1

中文：预发布版本。Release 0.159.0-alpha.12.1

Source: OpenAI Codex · GitHub · Impact 72 · Buzz 68 · Utility 86</description>
    </item>
    <item>
      <title>Introducing SynthID Bio</title>
      <link>https://deepmind.google/blog/introducing-synthid-bio/</link>
      <guid isPermaLink="false">papertrace:0a622a33b8e3</guid>
      <pubDate>Wed, 30 Sep 2026 12:00:00 GMT</pubDate>
      <category>Bio &amp; Medicine</category>
      <description>Proof of concept for watermarking AI-generated proteins while preserving biological function.

中文：Proof of concept for watermarking AI-generated proteins while preserving biological function.

Source: Google DeepMind · Impact 78 · Buzz 90 · Utility 58</description>
    </item>
    <item>
      <title>Helping small businesses put AI to work</title>
      <link>https://openai.com/index/helping-small-businesses-put-ai-to-work</link>
      <guid isPermaLink="false">papertrace:b5e5e43443d2</guid>
      <pubDate>Wed, 30 Sep 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>OpenAI is partnering with America’s SBDC to expand hands-on AI training and local support for small businesses, alongside a new report on how small teams are using AI.

中文：OpenAI is partnering with America’s SBDC to expand hands-on AI training and local support for small businesses, alongside a new report on how small teams are using AI.

Source: OpenAI · Impact 78 · Buzz 90 · Utility 58</description>
    </item>
    <item>
      <title>Introducing dots</title>
      <link>https://openai.com/index/introducing-dots</link>
      <guid isPermaLink="false">papertrace:884977ecb800</guid>
      <pubDate>Tue, 29 Sep 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>Dots by OpenAI are proactive assistants that can keep working across complex projects and everyday tasks. Learn how dots help you stay in control while work moves forward.

中文：Dots by OpenAI are proactive assistants that can keep working across complex projects and everyday tasks. Learn how dots help you stay in control while work moves forward.

Source: OpenAI · Impact 78 · Buzz 89 · Utility 58</description>
    </item>
    <item>
      <title>A Reusable Semantic Web Framework for Evidence-Grounded Fundamental Rights Impact Assessments under the EU AI Act</title>
      <link>https://arxiv.org/abs/2609.39537v1</link>
      <guid isPermaLink="false">papertrace:dfe54a07fe6f</guid>
      <pubDate>Wed, 30 Sep 2026 12:00:00 GMT</pubDate>
      <category>AI &amp; CS</category>
      <description>The EU AI Act (Art. 27) requires deployers of high-risk AI systems to conduct Fundamental Rights Impact Assessments (FRIAs) before deployment, yet the evidence needed for credible assessments is fragmented across incompatible incident repositories, risk vocabularies, and legal te

中文：The EU AI Act (Art. 27) requires deployers of high-risk AI systems to conduct Fundamental Rights Impact Assessments (FRIAs) before deployment, yet the evidence needed for credible assessments is fragmented across incompatible incident repositories, risk vocabularies, and legal te

Source: arXiv · Social Science · Impact 67 · Buzz 76 · Utility 82</description>
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