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LOW Academic United States

A Benchmark of Classical and Deep Learning Models for Agricultural Commodity Price Forecasting on A Novel Bangladeshi Market Price Dataset

arXiv:2604.06227v1 Announce Type: new Abstract: Accurate short-term forecasting of agricultural commodity prices is critical for food security planning and smallholder income stabilisation in developing economies, yet machine-learning-ready datasets for this purpose remain scarce in South Asia. This paper makes two...

1 min 1 week, 1 day ago
ip nda
LOW Academic United States

When Does Context Help? A Systematic Study of Target-Conditional Molecular Property Prediction

arXiv:2604.06558v1 Announce Type: new Abstract: We present the first systematic study of when target context helps molecular property prediction, evaluating context conditioning across 10 diverse protein families, 4 fusion architectures, data regimes spanning 67-9,409 training compounds, and both temporal and...

1 min 1 week, 1 day ago
ip nda
LOW Academic United States

Attribution Bias in Large Language Models

arXiv:2604.05224v1 Announce Type: new Abstract: As Large Language Models (LLMs) are increasingly used to support search and information retrieval, it is critical that they accurately attribute content to its original authors. In this work, we introduce AttriBench, the first fame-...

1 min 1 week, 2 days ago
ip nda
LOW Academic United States

Blind-Spot Mass: A Good-Turing Framework for Quantifying Deployment Coverage Risk in Machine Learning Systems

arXiv:2604.05057v1 Announce Type: new Abstract: Blind-spot mass is a Good-Turing framework for quantifying deployment coverage risk in machine learning. In modern ML systems, operational state distributions are often heavy-tailed, implying that a long tail of valid but rare states is...

1 min 1 week, 2 days ago
ip nda
LOW Academic United States

SKILLFOUNDRY: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resources

arXiv:2604.03964v1 Announce Type: new Abstract: Modern scientific ecosystems are rich in procedural knowledge across repositories, APIs, scripts, notebooks, documentation, databases, and papers, yet much of this knowledge remains fragmented across heterogeneous artifacts that agents cannot readily operationalize. This gap between...

1 min 1 week, 3 days ago
ip nda
LOW Conference United States

Announcing the ICML 2026 Workshops and Affinity Workshops

7 min 1 week, 3 days ago
ip nda
LOW Academic United States

NativeTernary: A Self-Delimiting Binary Encoding with Unary Run-Length Hierarchy Markers for Ternary Neural Network Weights, Structured Data, and General Computing Infrastructure

arXiv:2604.03336v1 Announce Type: new Abstract: BitNet b1.58 (Ma et al., 2024) demonstrates that large language models can operate entirely on ternary weights {-1, 0, +1}, yet no native binary wire format exists for such models. NativeTernary closes this gap. We...

1 min 1 week, 3 days ago
patent nda
LOW Academic United States

Text Summarization With Graph Attention Networks

arXiv:2604.03583v1 Announce Type: new Abstract: This study aimed to leverage graph information, particularly Rhetorical Structure Theory (RST) and Co-reference (Coref) graphs, to enhance the performance of our baseline summarization models. Specifically, we experimented with a Graph Attention Network architecture to...

1 min 1 week, 3 days ago
ip nda
LOW Academic United States

DRAFT: Task Decoupled Latent Reasoning for Agent Safety

arXiv:2604.03242v1 Announce Type: new Abstract: The advent of tool-using LLM agents shifts safety monitoring from output moderation to auditing long, noisy interaction trajectories, where risk-critical evidence is sparse-making standard binary supervision poorly suited for credit assignment. To address this, we...

1 min 1 week, 3 days ago
ip nda
LOW Academic United States

Readable Minds: Emergent Theory-of-Mind-Like Behavior in LLM Poker Agents

arXiv:2604.04157v1 Announce Type: new Abstract: Theory of Mind (ToM) -- the ability to model others' mental states -- is fundamental to human social cognition. Whether large language models (LLMs) can develop ToM has been tested exclusively through static vignettes, leaving...

1 min 1 week, 3 days ago
ip nda
LOW News United States

SCOTUStoday for Monday, April 6

On this day in 1938, the Supreme Court heard argument in United States v. Carolene Products, on a law that prohibited interstate shipping of filled milk, an alternative to traditional […]The postSCOTUStoday for Monday, April 6appeared first onSCOTUSblog.

1 min 1 week, 3 days ago
ip nda
LOW Academic United States

LogicPoison: Logical Attacks on Graph Retrieval-Augmented Generation

arXiv:2604.02954v1 Announce Type: new Abstract: Graph-based Retrieval-Augmented Generation (GraphRAG) enhances the reasoning capabilities of Large Language Models (LLMs) by grounding their responses in structured knowledge graphs. Leveraging community detection and relation filtering techniques, GraphRAG systems demonstrate inherent resistance to traditional...

1 min 1 week, 4 days ago
ip nda
LOW Academic United States

Mitigating LLM biases toward spurious social contexts using direct preference optimization

arXiv:2604.02585v1 Announce Type: new Abstract: LLMs are increasingly used for high-stakes decision-making, yet their sensitivity to spurious contextual information can introduce harmful biases. This is a critical concern when models are deployed for tasks like evaluating teachers' instructional quality, where...

1 min 1 week, 4 days ago
ip nda
LOW Academic United States

Coupled Control, Structured Memory, and Verifiable Action in Agentic AI (SCRAT -- Stochastic Control with Retrieval and Auditable Trajectories): A Comparative Perspective from Squirrel Locomotion and Scatter-Hoarding

arXiv:2604.03201v1 Announce Type: new Abstract: Agentic AI is increasingly judged not by fluent output alone but by whether it can act, remember, and verify under partial observability, delay, and strategic observation. Existing research often studies these demands separately: robotics emphasizes...

1 min 1 week, 4 days ago
ip nda
LOW Academic United States

Contextual Intelligence The Next Leap for Reinforcement Learning

arXiv:2604.02348v1 Announce Type: new Abstract: Reinforcement learning (RL) has produced spectacular results in games, robotics, and continuous control. Yet, despite these successes, learned policies often fail to generalize beyond their training distribution, limiting real-world impact. Recent work on contextual RL...

1 min 1 week, 4 days ago
ip nda
LOW Academic United States

Chart-RL: Policy Optimization Reinforcement Learning for Enhanced Visual Reasoning in Chart Question Answering with Vision Language Models

arXiv:2604.03157v1 Announce Type: new Abstract: The recent advancements in Vision Language Models (VLMs) have demonstrated progress toward true intelligence requiring robust reasoning capabilities. Beyond pattern recognition, linguistic reasoning must integrate with visual comprehension, particularly for Chart Question Answering (CQA) tasks...

1 min 1 week, 4 days ago
ip nda
LOW News United States

Anthropic is having a moment in the private markets; SpaceX could spoil the party

Glen Anderson, president of Rainmaker Securities, says the secondary market for private shares has never been more active — with Anthropic the hottest trade around, OpenAI losing ground, and SpaceX's looming IPO poised to reshape the landscape for everyone.

1 min 1 week, 6 days ago
ip nda
LOW Academic United States

Two-Stage Optimizer-Aware Online Data Selection for Large Language Models

arXiv:2604.00001v1 Announce Type: cross Abstract: Gradient-based data selection offers a principled framework for estimating sample utility in large language model (LLM) fine-tuning, but existing methods are mostly designed for offline settings. They are therefore less suited to online fine-tuning, where...

1 min 2 weeks ago
ip nda
LOW News United States

Judge halts Nexstar/Tegna merger after FCC let firms exceed TV ownership limit

"Defendants must immediately cease" actions to integrate and consolidate the firms.

News Monitor (2_14_4)

This article is relevant to Intellectual Property practice, specifically in the area of media and telecommunications law, as it involves a significant development in TV ownership regulations. A judge has halted the Nexstar/Tegna merger, citing exceedance of TV ownership limits, which signals a tightening of regulatory oversight in this sector. This ruling may have implications for future mergers and acquisitions in the media industry, highlighting the importance of compliance with ownership limits and regulatory approvals.

Commentary Writer (2_14_6)

The recent decision to halt the Nexstar/Tegna merger highlights the divergent approaches to Intellectual Property (IP) and media regulation in the US, Korea, and internationally. While the US Federal Communications Commission (FCC) has allowed Nexstar and Tegna to exceed TV ownership limits, a court has intervened to block the merger, reflecting a more stringent approach to media consolidation. In contrast, Korea's media landscape is subject to stricter regulations, with the Korean Communications Commission (KCC) actively enforcing ownership limits and promoting media diversity. In the US, the FCC's decision to permit Nexstar and Tegna to exceed TV ownership limits has raised concerns about the potential for media consolidation and decreased competition. This approach differs from Korea's, where the KCC has implemented stricter regulations to prevent media conglomerates from dominating the market. Internationally, the European Union's (EU) regulatory framework, as outlined in the Audiovisual Media Services Directive, also prioritizes media pluralism and diversity, with member states required to implement measures to prevent media concentration. The implications of this decision are significant, as it highlights the tension between regulatory agencies and the courts in the US, with the latter taking a more stringent approach to media consolidation. This may lead to increased scrutiny of media mergers and acquisitions, potentially influencing the development of IP law in the US. In contrast, Korea's more stringent approach to media regulation may serve as a model for other jurisdictions seeking to promote media diversity and prevent media conglomerates from

Patent Expert (2_14_9)

This article highlights a critical intersection of **antitrust law** and **regulatory oversight** in media consolidation, particularly regarding the **Federal Communications Commission (FCC)**'s ownership rules (e.g., 47 U.S.C. § 303) and **DOJ/FTC merger enforcement** under the **Clayton Act (15 U.S.C. § 18)**. The judge’s injunction reflects judicial deference to agency determinations (e.g., *Chevron* deference principles) while underscoring the risks of **structural remedies** in antitrust cases, akin to *United States v. AT&T* (2018). Practitioners should scrutinize **FCC waivers** and **merger agreements** for compliance gaps, as courts may block integration even post-approval if statutory limits are exceeded.

Statutes: U.S.C. § 303, U.S.C. § 18
1 min 2 weeks ago
ip nda
LOW Academic United States

Frege in the Flesh: Biolinguistics and the Neural Enforcement of Syntactic Structures

arXiv:2604.00291v1 Announce Type: new Abstract: Biolinguistics is the interdisciplinary scientific study of the biological foundations, evolution, and genetic basis of human language. It treats language as an innate biological organ or faculty of the mind, rather than a cultural tool,...

1 min 2 weeks ago
ip nda
LOW Conference United States

What’s new for the Position Paper Track at NeurIPS 2026

News Monitor (2_14_4)

The article discusses updates to the **Position Paper Track at NeurIPS 2026**, which, while primarily focused on machine learning research, carries **indirect relevance to IP practice** in several ways: 1. **Standardization & Rigor in Peer Review** – The emphasis on aligning acceptance processes, timelines, and standardized practices across conference tracks signals a broader trend toward **structured evaluation frameworks**, which could influence how patent offices or IP litigation bodies assess technical evidence (e.g., AI-generated inventions). 2. **Community-Driven Policy Evolution** – The track’s iterative improvements based on feedback demonstrate **adaptive governance in academic publishing**, a concept mirrored in IP policy where stakeholder input shapes regulations (e.g., USPTO’s AI-related patent guidance). 3. **Timing & Cross-Venue Coordination** – The adjustment of review timelines to avoid conflicts with other submissions reflects **coordination challenges in global IP systems**, such as patent filings across multiple jurisdictions. For IP practitioners, the article underscores the growing interplay between **AI research governance and legal frameworks**, particularly in areas like patent eligibility for AI-generated works or standardized disclosure requirements for technical disclosures.

Commentary Writer (2_14_6)

The article’s focus on standardizing review timelines, acceptance criteria, and scope alignment at NeurIPS 2026 has significant implications for intellectual property (IP) practice, particularly in the context of AI-generated works and academic publishing norms. In the **US**, where IP frameworks (e.g., copyright, patent) are increasingly grappling with AI-generated content (e.g., *Thaler v. Vidal*), standardized academic review processes could influence evidentiary standards for novelty and non-obviousness in patent filings, particularly for AI-driven innovations. **Korea**, with its robust IP framework (e.g., strong patent protections for AI-related inventions under the KIPA), may see alignment with international academic rigor as a precursor to domestic patent filings, though its reliance on formalistic examination may lag behind the US’s more adaptable case law. **Internationally**, under WIPO’s evolving guidelines on AI and IP, NeurIPS’s push for clearer definitions of rigor could indirectly shape global norms for patentability, especially in jurisdictions like the EU, where technical character requirements for AI inventions remain stringent. However, the lack of explicit IP focus in the article risks leaving critical questions unaddressed, such as how standardized review timelines might interact with trade secret protections or prior art disclosures in patent litigation.

Patent Expert (2_14_9)

While the article pertains to academic conference proceedings (NeurIPS 2026) rather than patent law, its implications for **patent prosecution, validity, and infringement analysis** lie in the domain of **standard-setting organizations (SSOs)** and **peer-reviewed academic contributions** that may later inform patent claims. For instance, if NeurIPS position papers propose novel methodologies or benchmarks, they could later be cited as prior art under **35 U.S.C. § 102** (novelty) or **§ 103** (non-obviousness) in patent litigation. Courts have recognized academic publications as prior art (e.g., *In re Hall*, 781 F.3d 897 (Fed. Cir. 2015)), reinforcing the need for patent practitioners to monitor such tracks for potential conflicts. Additionally, if NeurIPS adopts standardized practices (e.g., clearer rigor definitions), these could influence **patent office guidelines** (e.g., USPTO’s *Subject Matter Eligibility* guidance) or **ex parte reexamination** proceedings under **35 U.S.C. § 302**.

Statutes: U.S.C. § 302, U.S.C. § 102, § 103
5 min 2 weeks ago
ip nda
LOW Academic United States

Omni-SimpleMem: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory

arXiv:2604.01007v2 Announce Type: new Abstract: AI agents increasingly operate over extended time horizons, yet their ability to retain, organize, and recall multimodal experiences remains a critical bottleneck. Building effective lifelong memory requires navigating a vast design space spanning architecture, retrieval...

News Monitor (2_14_4)

This article highlights the rapid advancement in AI agent capabilities, specifically in developing "lifelong multimodal memory" through autonomous research pipelines. For IP practice, this signals an increasing complexity in inventorship and ownership disputes for AI-generated inventions, as these systems can autonomously discover and implement novel solutions. The significant performance gains achieved through architectural changes and bug fixes, rather than just hyperparameter tuning, underscore the potential for AI systems to generate patentable subject matter without direct human intervention in the "inner loop" of discovery.

Commentary Writer (2_14_6)

The "Omni-SimpleMem" paper, detailing an autonomous research pipeline for AI memory systems, presents fascinating implications for intellectual property, particularly concerning inventorship and patentability. The core question it raises is whether an AI system, capable of "diagnosing failure modes, proposing architectural modifications, and repairing data pipeline bugs, all without human intervention," could be considered an inventor. In the **United States**, the long-standing precedent of *Thaler v. Vidal* (and subsequent appeals) firmly establishes that only natural persons can be inventors. The USPTO's guidelines align with this, requiring human inventorship. Therefore, while the *results* of Omni-SimpleMem's autonomous research could be patented if a human conceived the initial idea to build such a system and understood its operation, the AI itself would not be recognized as an inventor. This creates a potential disconnect where the most impactful discoveries (bug fixes, architectural changes) are attributed to the AI, yet patent law demands a human inventor. The human who initiated or oversaw the AI's research might be considered the inventor, but this could become increasingly tenuous as AI autonomy grows. **South Korea** has similarly grappled with AI inventorship. While the Korean Intellectual Property Office (KIPO) has not issued definitive guidelines as extensive as the USPTO's, the prevailing legal interpretation leans towards human inventorship, consistent with most international patent systems. The Korean Patent Act, like its U.S. counterpart, implicitly

Patent Expert (2_14_9)

This article describes an "autonomous research pipeline" that discovers and optimizes a "unified multimodal memory framework for lifelong AI agents" called Omni-SimpleMem. This system autonomously executes experiments, diagnoses failure modes, proposes architectural modifications, and repairs data pipeline bugs. **Expert Analysis:** For patent practitioners, this article highlights a rapidly evolving area of AI innovation with significant implications for patentability, particularly concerning the "abstract idea" doctrine under 35 U.S.C. § 101. The autonomous discovery and optimization capabilities described in Omni-SimpleMem raise questions about inventorship and the patentability of inventions generated by AI systems, echoing challenges seen in cases like *Thaler v. Vidal*. Claims related to such systems would need to carefully articulate how the "autonomous research pipeline" provides a concrete, technical solution to a problem in the field of AI memory, rather than merely automating a mental process or an abstract mathematical concept, aligning with the "something more" requirement established in *Alice Corp. v. CLS Bank Int'l* and further refined by cases like *Berkheimer v. HP Inc.* and *Amdocs (Israel) Ltd. v. Openet Telecom, Inc.*, focusing on improvements to computer functionality or specific applications in the AI domain.

Statutes: U.S.C. § 101
Cases: Thaler v. Vidal
1 min 2 weeks ago
ip nda
LOW Academic United States

Do LLMs Know What Is Private Internally? Probing and Steering Contextual Privacy Norms in Large Language Model Representations

arXiv:2604.00209v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed in high-stakes settings, yet they frequently violate contextual privacy by disclosing private information in situations where humans would exercise discretion. This raises a fundamental question: do LLMs internally...

1 min 2 weeks ago
ip nda
LOW News United States

Authors' lucky break in court may help class action over Meta torrenting

Judge gave authors an easier attack on Meta’s torrenting. Meta hopes SCOTUS ruling will block it.

News Monitor (2_14_4)

**Relevance to Intellectual Property Practice:** This article highlights a potential shift in liability standards for online copyright infringement, as a judge has provided authors with a more straightforward legal avenue to pursue Meta for alleged torrenting activities. The referenced SCOTUS ruling suggests that higher courts may soon clarify or limit the scope of liability for digital platforms, which could significantly impact how copyright infringement claims are litigated in the U.S. and internationally. Practitioners should monitor this case for precedential value, as it may influence future enforcement strategies and platform liability defenses in copyright disputes.

Commentary Writer (2_14_6)

The recent ruling in favor of authors against Meta’s alleged torrenting practices signals a potential shift in how courts interpret secondary liability for copyright infringement, with the U.S. approach (focusing on vicarious liability and inducement under *MGM v. Grokster*) likely to face renewed scrutiny. In contrast, Korea’s stricter enforcement under the *Copyright Act* (Article 13) and broader intermediary liability (e.g., *Telecommunications Business Act*) could offer authors stronger protections, while international frameworks like the EU’s *Copyright Directive* (Article 17) balance platform accountability with safe harbors. The outcome may hinge on whether courts prioritize technological neutrality (U.S.) or proactive rights enforcement (Korea/EU), reshaping IP litigation strategies.

Patent Expert (2_14_9)

Based on the provided article, it appears that a recent court decision has created a favorable environment for authors to pursue a class action lawsuit against Meta (formerly Facebook) regarding torrenting. This decision may allow authors to more easily assert their claims, potentially leading to increased scrutiny of Meta's practices. From a patent prosecution and infringement perspective, this article's implications are limited, but it does highlight the importance of staying up-to-date with case law and regulatory developments in related areas, such as copyright law and online liability. For instance, this decision may be connected to the Supreme Court's (SCOTUS) ruling in Gonzalez v. Google LLC (2023), which addressed the liability of online platforms for copyright infringement. This ruling may have implications for patent holders and practitioners, as it sets a precedent for the liability of online platforms for various forms of intellectual property infringement. In terms of statutory connections, this article may be related to the Digital Millennium Copyright Act (DMCA) and the Communications Decency Act (CDA), which govern online liability and copyright infringement.

Statutes: DMCA
Cases: Gonzalez v. Google
1 min 2 weeks ago
copyright infringement
LOW Academic United States

PI-JEPA: Label-Free Surrogate Pretraining for Coupled Multiphysics Simulation via Operator-Split Latent Prediction

arXiv:2604.01349v1 Announce Type: new Abstract: Reservoir simulation workflows face a fundamental data asymmetry: input parameter fields (geostatistical permeability realizations, porosity distributions) are free to generate in arbitrary quantities, yet existing neural operator surrogates require large corpora of expensive labeled simulation...

1 min 2 weeks ago
ip nda
LOW Academic United States

Sven: Singular Value Descent as a Computationally Efficient Natural Gradient Method

arXiv:2604.01279v1 Announce Type: new Abstract: We introduce Sven (Singular Value dEsceNt), a new optimization algorithm for neural networks that exploits the natural decomposition of loss functions into a sum over individual data points, rather than reducing the full loss to...

1 min 2 weeks ago
ip nda
LOW Academic United States

Graph Neural Operator Towards Edge Deployability and Portability for Sparse-to-Dense, Real-Time Virtual Sensing on Irregular Grids

arXiv:2604.01802v1 Announce Type: new Abstract: Accurate sensing of spatially distributed physical fields typically requires dense instrumentation, which is often infeasible in real-world systems due to cost, accessibility, and environmental constraints. Physics-based solvers address this through direct numerical integration of governing...

1 min 2 weeks ago
ip nda
LOW Academic United States

BIAS, FAIRNESS, AND INCLUSIVITY IN GENERATIVE AI SYSTEMS: A CRITICAL EXAMINATION OF ALGORITHMIC BIAS, REPRESENTATION GAPS, AND THE CHALLENGES OF ENSURING EQUITY IN AI-GENERATED OUTPUTS

Generative AI systems such as large language models (LLMs), image synthesizers, and multimodal frameworks have transformed content creation while also exposing and amplifying systemic biases that undermine fairness and inclusivity. This study critically examines algorithmic bias in model outputs, representation...

1 min 2 weeks, 1 day ago
ip nda
LOW News United States

When the Supreme Court let a president get away with redefining birthright citizenship

The president finds the long-settled meaning of the citizenship clause to be an intolerable obstacle to his agenda. The reason? Each year it would make U.S. citizens of tens of […]The postWhen the Supreme Court let a president get away...

News Monitor (2_14_4)

**Relevance to Intellectual Property (IP) Practice:** This article, while focused on constitutional law and birthright citizenship, signals broader themes relevant to IP practice, particularly in **trademark and patent law**, where statutory interpretation and executive overreach can reshape legal frameworks. The discussion of a president redefining long-standing legal interpretations could foreshadow challenges to **USPTO policies, judicial deference to agency actions (e.g., Chevron deference), or legislative attempts to alter IP statutes** (e.g., patent eligibility under § 101). It also underscores the **risk of policy shifts** in IP governance, where administrative or executive actions may disrupt settled legal norms—similar to how prior art standards or trademark classifications could be reinterpreted. Would you like a deeper dive into any specific IP-adjacent implications?

Commentary Writer (2_14_6)

This article, while not directly addressing intellectual property (IP) law, raises broader constitutional and administrative law concerns that could indirectly influence IP jurisprudence—particularly in areas where executive overreach or statutory interpretation intersects with IP policy. In the **U.S.**, where IP law is primarily statutory (e.g., the Patent Act, Copyright Act) and subject to judicial interpretation, a precedent of executive reinterpretation of foundational legal principles could embolden administrative agencies (e.g., USPTO, Copyright Office) to push boundaries in IP rulemaking without clear congressional authorization. By contrast, **South Korea**—where IP enforcement is heavily centralized under the Korean Intellectual Property Office (KIPO) and courts defer to statutory text—might resist such executive aggrandizement, though recent trends toward "regulatory sandbox" approaches in innovation policy could blur lines. **Internationally**, the WIPO framework and TRIPS Agreement emphasize legal certainty in IP rights, suggesting that arbitrary executive reinterpretations could face scrutiny under international trade law or investment treaties, particularly where foreign rights holders rely on stable legal regimes. The broader takeaway is that erosion of settled legal interpretations in one domain risks destabilizing the predictability essential to IP systems across jurisdictions.

Patent Expert (2_14_9)

This article discusses the constitutional interpretation of the **Citizenship Clause of the 14th Amendment** (*"All persons born or naturalized in the United States, and subject to the jurisdiction thereof, are citizens of the United States"*), which has been long-settled in case law (*U.S. v. Wong Kim Ark*, 169 U.S. 649 (1898)) as conferring birthright citizenship regardless of parental immigration status. The implication for patent practitioners is indirect but relevant in **claim construction and statutory interpretation**, where courts similarly rely on established precedent (*Markman v. Westview Instruments*, 517 U.S. 370 (1996)) to define terms like "inventor" or "patentable subject matter" under 35 U.S.C. § 101. A shift in constitutional interpretation—such as undermining *Wong Kim Ark*—could theoretically influence statutory construction in patent law, though no direct case law connects the two. Practitioners should monitor such constitutional shifts, as they may indirectly affect IP jurisprudence, particularly in **immigration-related patents** (e.g., inventions by non-citizens) or **government patent policies**.

Statutes: U.S.C. § 101
Cases: Markman v. Westview Instruments
1 min 2 weeks, 5 days ago
ip nda
LOW Academic United States

MDKeyChunker: Single-Call LLM Enrichment with Rolling Keys and Key-Based Restructuring for High-Accuracy RAG

arXiv:2603.23533v1 Announce Type: new Abstract: RAG pipelines typically rely on fixed-size chunking, which ignores document structure, fragments semantic units across boundaries, and requires multiple LLM calls per chunk for metadata extraction. We present MDKeyChunker, a three-stage pipeline for Markdown documents...

1 min 3 weeks, 1 day ago
ip nda
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High 2
Medium 37
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