{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9852767","patent":{"patent_number":"US-9852767","title":"Method for generating a cyclic video sequence","assignee":null,"inventors":[],"filing_date":"2016-03-18T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["G11B","G06T","G11B","G11B","G11B","G06T"],"num_claims":14,"abstract":"A method for generating a cyclic video sequence (SC), implemented by a data-processor (11). The method includes receiving a video sequence (S); determining a first singular point (P1) of the video sequence (S) in a first interval (11) of the sequence (S) and a second singular point (P2) of the video sequence (S) in a second interval (12) of the sequence (S). The first and second singular points (P1, P2) have a maximum similarity according to a given similarity criterion; then generating a connecting sequence (SR) between the image of the video sequence (S) corresponding to the second singular point (P2) and the image of the video sequence (S) corresponding to the first singular point (P1) by morphing then constructing the cyclic video sequence (SC) by concatenation of a fragment (S′) of the video sequence (S) extending from the first singular point (P1) to the second singular point (P2), and of the connecting sequence (SR)."},"analysis":{"summary":"The Method for Generating a Cyclic Video Sequence patent (US-9852767) introduces a sophisticated, data-processor-implemented technique for creating perfectly seamless video loops. At its core, this innovation solves the common problem of jarring transitions in looped video content, which often detract from viewer engagement and perceived quality. The patent achieves this by intelligently analyzing an input video sequence (S).\n\nThe key technical approach involves determining two 'singular points,' P1 and P2, within distinct intervals of the video. These points are meticulously selected because they exhibit the maximum similarity according to a predefined criterion, ensuring optimal visual alignment. Rather than a simple cut or fade, the system then generates a 'connecting sequence' (SR) through a morphing process. This morphing smoothly blends the image corresponding to P2 with the image corresponding to P1, creating an imperceptible transition.\n\nFinally, the cyclic video sequence (SC) is constructed by concatenating a fragment (S′) of the original video (extending from P1 to P2) with the newly generated connecting sequence (SR). This results in a continuous, endlessly looping video that maintains fluidity and eliminates visual breaks, a significant improvement over traditional methods.\n\nFrom a business perspective, this technology offers substantial value. It automates a previously labor-intensive and technically challenging task, dramatically reducing the time and cost associated with producing high-quality looped content. Applications span digital marketing, social media content, interactive displays, virtual reality, and advertising, where seamless visual experiences are paramount. The market opportunity lies in providing content creators, marketing agencies, and media companies with an efficient, high-fidelity solution for engaging audiences with uninterrupted video. This patent positions itself as a critical enabler for next-generation visual content strategies, driving higher engagement and delivering superior aesthetic quality.","layman_explanation":"### What Problem Does This Solve?\nImagine you're creating a short video for social media, a digital advertisement, or a background loop for a website. The goal is for the video to play continuously, seamlessly repeating without any noticeable break or jump. However, achieving this 'perfect loop' is surprisingly difficult. Most videos, when simply set to repeat, will have a jarring cut at the end, pulling the viewer out of the experience. This 'loop jitter' can make content look unprofessional, reduce engagement, and is a persistent headache for content creators and marketers. Existing solutions often involve time-consuming manual editing, which is expensive and still rarely achieves truly imperceptible transitions. This patent addresses this fundamental issue by offering an automated and highly effective solution.\n\n### How Does It Work?\nThe 'Method for Generating a Cyclic Video Sequence' patent works like a sophisticated video editor with an uncanny eye for continuity. Instead of relying on a human to manually find where a video should loop, this technology employs a data-processor to do it intelligently. It takes your original video and, rather than just matching the very first and last frames, it analyzes the entire sequence to find two specific moments—let's call them 'Point 1' (P1) and 'Point 2' (P2)—that are highly similar to each other, even if they're not at the very start or end. Think of it like finding two identical patterns in a long piece of fabric. These points are chosen because they represent the best possible 'seams' for a loop.\n\nHere's the clever part: once P1 and P2 are identified, the system doesn't just cut and paste. It generates a short 'connecting sequence' by 'morphing' the image at P2 into the image at P1. Morphing is like a smooth, gradual transformation—imagine one face subtly blending into another. This creates a fluid visual bridge between the end of the relevant video segment (at P2) and its beginning (at P1). Finally, the system takes the segment of your original video from P1 to P2 and attaches this seamlessly morphed connecting sequence. The result is a video that flows effortlessly from its end back to its beginning, making the loop completely invisible to the viewer.\n\n### Why Does This Matter?\nThis innovation matters significantly for several business reasons. Firstly, it dramatically **reduces production costs and time**. What once took hours of meticulous manual editing can now be automated, freeing up creative teams to focus on content quality rather than technical perfection. Secondly, it **enhances user engagement and brand perception**. Seamless loops are more aesthetically pleasing and less disruptive, leading to longer viewing times and a more positive impression of the brand or product. Imagine a luxury brand's digital signage with perfectly flowing product visuals – it exudes quality. Thirdly, it **opens up new creative possibilities** for digital marketing, interactive experiences, and immersive technologies like VR/AR, where continuous, high-fidelity visuals are paramount. Businesses can now deploy more sophisticated and captivating video content across all their digital touchpoints.\n\n### What's Next?\nThe 'Method for Generating a Cyclic Video Sequence' is poised to become an industry standard for any application requiring high-quality looped video. We can expect to see this technology integrated into popular video editing software, content management systems, and cloud-based video platforms. Its future applications could include dynamic backgrounds for virtual events, interactive advertising units that never break flow, and even real-time video processing for live streaming, where seamless transitions are critical. For investors, this represents an opportunity in a growing market for automated, intelligent media processing, offering a clear return on investment through efficiency gains and superior content delivery.","technical_analysis":"The Method for Generating a Cyclic Video Sequence patent (US-9852767) describes a data-processor-implemented technique for creating visually continuous video loops, addressing the prevalent issue of perceptible discontinuities in traditional looping methods. The technical architecture revolves around intelligent point detection, advanced similarity metrics, and a sophisticated morphing algorithm.\n\n**System Architecture and Data Flow:**\n1.  **Input Module:** Receives a raw video sequence (S) as input. This sequence is typically a digital stream of frames, potentially with associated metadata (timestamps, motion vectors, etc.).\n2.  **Singular Point Determination Module:** This is the core analytical component. It operates in two phases:\n    *   **First Singular Point (P1) Detection:** Analyzes a 'first interval (I1)' of the video sequence to identify a candidate frame for P1. This interval ensures P1 is not too close to the end of the video, allowing for a substantial loop fragment.\n    *   **Second Singular Point (P2) Detection:** Analyzes a 'second interval (I2)' of the video sequence to identify a candidate frame for P2. I2 is distinct from I1, typically later in the sequence, defining the end of the primary loop segment.\n    The determination of P1 and P2 is driven by a 'maximum similarity according to a given similarity criterion.' This criterion is crucial. It could involve:\n        *   **Feature Descriptors:** Extracting robust features (e.g., SIFT, ORB, perceptual hashes, deep learning features from a CNN) from candidate frames within I1 and I2.\n        *   **Similarity Metrics:** Calculating similarity (e.g., cosine similarity, Euclidean distance in feature space, structural similarity index (SSIM)) between all plausible (P1, P2) pairs within their respective intervals. The pair yielding the highest similarity is selected.\n        *   **Temporal Constraints:** The system might also incorporate temporal proximity or distance constraints to ensure the selected fragment (S') is of a reasonable length.\n3.  **Connecting Sequence Generation Module (Morphing Engine):** Once P1 and P2 are identified, this module generates a 'connecting sequence (SR).' This is not a simple fade or cross-dissolve, but a full morphing operation between the image at P2 and the image at P1. This typically involves:\n    *   **Feature Correspondence:** Establishing pixel-level or feature-level correspondences between the image at P2 and the image at P1. This might use optical flow, dense correspondence estimation, or landmark detection.\n    *   **Image Warping:** Geometrically transforming (warping) the P2 image into the P1 image (or vice-versa) over a series of intermediate frames. This involves interpolation of pixel positions based on the established correspondences.\n    *   **Cross-Fading/Blending:** Blending the color information of the warped images to create a smooth luminosity and color transition. Advanced techniques might use gradient-domain blending to avoid ghosting artifacts.\n    *   **Intermediate Frame Synthesis:** Generating a sequence of frames that smoothly transition from the P2 image to the P1 image, creating the SR.\n4.  **Concatenation Module:** Constructs the final cyclic video sequence (SC) by concatenating three parts:\n    *   The fragment (S′) of the original video (S) extending from P1 to P2.\n    *   The generated connecting sequence (SR).\n    The concatenation is `SC = S'[P1:P2] + SR`, forming a perfect loop where the end of SR blends seamlessly into P1, which is the start of S'.\n\n**Algorithm Specifics and Performance:**\nThe choice of similarity criterion and morphing algorithm directly impacts performance and quality. For real-time applications, faster feature extraction (e.g., perceptual hashing, lightweight CNNs) and efficient morphing algorithms (e.g., mesh warping with GPU acceleration) would be critical. Offline processing could leverage more computationally intensive, higher-fidelity techniques. The parallel nature of frame processing and morphing could benefit from multi-core processors or GPU acceleration.\n\n**Integration Patterns and Code-Level Implications:**\nThis technology could be integrated into existing video editing software as a plugin, into content management systems for automated asset processing, or as a service in cloud-based video platforms. From a code perspective, implementation would likely involve libraries for computer vision (e.g., OpenCV, Dlib), image processing (e.g., PIL, ImageMagick), and potentially deep learning frameworks (e.g., TensorFlow, PyTorch) for advanced feature extraction or generative morphing models. The patent's abstract suggests a data-processor-agnostic implementation, implying flexibility across various hardware and software environments capable of video processing.","business_analysis":"The Method for Generating a Cyclic Video Sequence patent (US-9852767) presents a significant business opportunity by addressing a pervasive challenge in digital media: the creation of flawless, looping video content. This innovation is poised to disrupt multiple markets by offering an automated, high-quality solution where manual efforts are tedious and existing automated tools are often insufficient.\n\n**Market Opportunity Size:**\nThe market for video content creation and consumption is vast and continually expanding. This includes:\n*   **Digital Advertising:** Billions of dollars are spent annually on video ads, with short, engaging loops being critical for social media and display networks.\n*   **Social Media Content:** Platforms like TikTok, Instagram Reels, and YouTube Shorts thrive on short, impactful, and often looping content. Creators and brands constantly need high-quality, seamless loops.\n*   **Digital Signage & Retail Displays:** The global digital signage market is projected to reach over $30 billion by 2027, with continuous video content as a cornerstone. Seamless loops enhance customer experience and brand perception.\n*   **Immersive Media (VR/AR/Metaverse):** As these technologies mature, the demand for continuously flowing, non-disruptive visual assets for backgrounds, ambient scenes, and interactive elements will surge.\n*   **Web Design & UI/UX:** Animated backgrounds and subtle video loops are increasingly used to enhance user experience on websites and applications.\nThis patent taps into a multi-billion dollar ecosystem where efficiency and visual quality are paramount, offering a solution that significantly improves both.\n\n**Competitive Advantages:**\n*   **Superior Quality:** The core advantage lies in the use of 'maximum similarity' criteria and 'morphing' for transitions, which produces loops of significantly higher quality than simple cuts, fades, or basic cross-dissolves found in most current tools.\n*   **Automation & Efficiency:** Automating the complex process of identifying optimal loop points and generating smooth transitions saves countless hours of manual editing, offering a major efficiency boost for content creators and agencies.\n*   **Scalability:** A data-processor-implemented method means the solution can be scaled from individual creators to large media production houses and cloud-based content platforms, processing vast volumes of video.\n*   **Reduced Friction & Cost:** By streamlining the workflow, the invention reduces the labor cost associated with producing high-quality looped content, making premium loops accessible to a broader market.\n\n**Revenue Potential and Business Models:**\nThis technology could generate revenue through several business models:\n*   **Software Licensing:** Licensing the core algorithm or a SDK to video editing software developers (e.g., Adobe, DaVinci Resolve) or content management system providers.\n*   **SaaS Platform:** Developing a cloud-based service where users upload videos and receive seamlessly looped versions, potentially tiered by processing volume or features.\n*   **API Access:** Offering an API for developers to integrate the cyclic video generation capability into their own applications or platforms.\n*   **Custom Solutions:** Providing tailored solutions for large enterprises in retail, advertising, or media that require high-volume, automated loop generation.\n*   **Direct-to-Consumer Tool:** Creating a user-friendly application for individual content creators and small businesses.\n\n**Strategic Positioning:**\nThe Method for Generating a Cyclic Video Sequence positions its adopters as leaders in intelligent video processing and content automation. It moves beyond basic video manipulation to sophisticated algorithmic synthesis, appealing to a market increasingly demanding both efficiency and aesthetic perfection. Companies leveraging this patent can differentiate themselves by offering 'invisible' loops, a premium feature that enhances user engagement and brand perception.\n\n**ROI Projections:**\nBusinesses investing in or adopting this technology can expect significant ROI through:\n*   **Increased Content Production Efficiency:** Dramatically reduced time and resources spent on loop creation.\n*   **Higher Engagement Rates:** More visually appealing and less disruptive content leads to longer viewing times and better audience retention.\n*   **Enhanced Brand Image:** Seamless, professional video loops contribute to a premium brand perception.\n*   **Competitive Edge:** Offering superior video content that is difficult for competitors to replicate without similar advanced technology.\n*   **New Revenue Streams:** Monetizing the technology through licensing or service offerings. The ability to transform standard video into high-quality, seamlessly looping assets represents a clear path to both cost savings and value creation in the dynamic digital media landscape.","faqs":[{"answer":"The 'Method for Generating a Cyclic Video Sequence' (patent US-9852767) is a groundbreaking innovation that describes a data-processor-implemented technique for creating perfectly seamless video loops. Unlike traditional methods that often result in noticeable jumps or abrupt transitions when a video repeats, this patent ensures a continuous, fluid visual experience.\n\nAt its core, the invention takes an ordinary video sequence and intelligently identifies optimal points within it to create an imperceptible loop. It's designed to solve the long-standing problem of 'loop jitter,' which can detract from the professionalism and engagement of looped video content across various digital platforms.\n\nThis technology automates a process that was previously labor-intensive and challenging, making high-quality cyclic video accessible and efficient for content creators, marketers, and developers. It represents a significant step forward in automated video content generation and visual continuity.","question":"What is the 'Method for Generating a Cyclic Video Sequence'?"},{"answer":"The 'Method for Generating a Cyclic Video Sequence' operates through a sophisticated, multi-step process. First, it receives an input video sequence (S). Then, a data-processor meticulously analyzes this sequence to identify two 'singular points,' P1 and P2. These points are specifically chosen from distinct intervals within the video because they exhibit the 'maximum similarity' according to a predefined criterion, ensuring they are the most compatible for a smooth transition.\n\nOnce P1 and P2 are determined, the innovation generates a 'connecting sequence' (SR). This isn't a simple cut or fade; instead, SR is created by 'morphing' the image corresponding to P2 into the image corresponding to P1. Morphing involves a gradual, geometric, and photometric transformation that blends the two images seamlessly, forming a fluid visual bridge.\n\nFinally, the complete cyclic video sequence (SC) is constructed. This is achieved by concatenating a fragment (S′) of the original video (extending from P1 to P2) with the newly generated connecting sequence (SR). The result is a video that flows continuously, with the end of the connecting sequence blending imperceptibly back into the start of the main fragment, creating a flawless loop.","question":"How does the 'Method for Generating a Cyclic Video Sequence' work?"},{"answer":"The 'Method for Generating a Cyclic Video Sequence' primarily solves the pervasive problem of jarring and noticeable transitions in looped video content. In many applications, from social media stories and digital advertisements to website backgrounds and retail displays, videos are intended to play on a continuous loop. However, traditional methods often result in an abrupt 'jump' or an obvious 'fade' when the video restarts.\n\nThis 'loop jitter' breaks the illusion of continuous play, detracts from the professionalism of the content, and can reduce viewer engagement. Manually creating truly seamless loops is a painstaking and time-consuming process that often requires expert video editing skills and still might not yield perfect results.\n\nThis patent provides an automated, high-fidelity solution that eliminates these visual discontinuities, ensuring that looped video content maintains its fluidity and captivating effect. It removes a significant technical bottleneck for content creators and marketers, allowing them to produce superior visual experiences more efficiently.","question":"What problem does the 'Method for Generating a Cyclic Video Sequence' solve?"},{"answer":"The 'Method for Generating a Cyclic Video Sequence' patent (US-9852767) does not list specific inventors or an assignee in the provided data. Patents are typically filed by individuals or organizations (assignees) who own the rights to the invention.\n\nIn many cases, the inventors are researchers or engineers working for a larger corporation or institution. While the specific names are not available in this abstract, the innovation itself points to a team or individual with deep expertise in computer vision, video processing, and algorithmic development.\n\nThe focus of this patent is on the technical method itself, which is applicable across various industries and could have been developed by innovators aiming to solve a fundamental problem in digital media content creation.","question":"Who invented the 'Method for Generating a Cyclic Video Sequence'?"},{"answer":"The 'Method for Generating a Cyclic Video Sequence' offers several key benefits that significantly impact digital content creation and consumption:\n\nFirstly, it delivers **unparalleled seamlessness**. By using intelligent singular point detection and advanced morphing, it creates video loops that are genuinely imperceptible, eliminating jarring cuts or obvious fades. This elevates the aesthetic quality of any continuous video content.\n\nSecondly, it provides **significant automation and efficiency**. The process of creating perfect loops, traditionally a tedious and time-consuming manual task, is now automated. This saves countless hours for content creators, agencies, and businesses, allowing them to produce high-quality looped content faster and at a lower cost.\n\nThirdly, it **enhances user engagement and brand perception**. Smooth, continuous video content is more immersive and professional, leading to longer viewing times and a more positive impression of brands and products. This innovation empowers creators to produce more captivating and effective visual narratives across all digital platforms.","question":"What are the key benefits of the 'Method for Generating a Cyclic Video Sequence'?"},{"answer":"The 'Method for Generating a Cyclic Video Sequence' distinguishes itself from prior art through its sophisticated approach to both identifying loop points and generating transitions.\n\nPrior art typically relies on simple methods like hard cuts, which are jarring, or basic cross-dissolves/fades, which are noticeable and break immersion. More advanced manual editing requires significant time and skill but still often falls short of true imperceptibility. Earlier automated attempts often used rudimentary frame matching based on simple pixel values, which struggled with complex scenes or subtle movements.\n\nThis patent, however, innovates by:\n1.  **Intelligent Singular Point Detection:** It doesn't just look for *any* similar frames, but uses a 'maximum similarity criterion' to find the *most* compatible singular points (P1 and P2) within distinct intervals. This advanced analysis ensures optimal 'seams' for the loop.\n2.  **Generative Morphing:** Instead of simple blending, it employs 'morphing' to create a 'connecting sequence' (SR). Morphing involves both geometric warping and photometric blending to smoothly transform one image into another, resulting in a fluid, organic, and truly imperceptible transition, a significant leap beyond traditional techniques. This combination of intelligent analysis and advanced generative synthesis sets the 'Method for Generating a Cyclic Video Sequence' apart, delivering superior quality and automation.","question":"How is the 'Method for Generating a Cyclic Video Sequence' different from prior art?"},{"answer":"The 'Method for Generating a Cyclic Video Sequence' (US-9852767) is poised to significantly impact a wide array of industries that rely on engaging and continuous video content.\n\n**Digital Marketing and Advertising** will benefit immensely, as the patent enables the creation of flawless, high-impact video ads for social media, display networks, and programmatic campaigns. **Social Media Platforms and Content Creators** will find it invaluable for producing professional-grade, endlessly engaging content like Reels, Stories, and TikToks.\n\n**Retail and Digital Signage** will be transformed, allowing for seamless product showcases and ambient displays that enhance customer experience and brand perception. Furthermore, **Immersive Media** such as Virtual Reality (VR), Augmented Reality (AR), and the Metaverse will leverage this technology for creating believable, continuous backgrounds and animations that maintain user immersion. **Web Design and UI/UX** will also see improvements, with animated website backgrounds and interactive elements flowing seamlessly, contributing to a premium user experience. This patent is a foundational technology for any sector where high-quality, continuous visual communication is key.","question":"What industries will the 'Method for Generating a Cyclic Video Sequence' impact?"},{"answer":"The 'Method for Generating a Cyclic Video Sequence' patent (US-9852767) has a recorded filing date and publication date.\n\n**Filing Date:** The patent application for the 'Method for Generating a Cyclic Video Sequence' was filed on **March 18, 2016**.\n\n**Publication Date:** The patent was subsequently published, and the official publication date is **December 26, 2017**.\n\nThe filing date marks when the invention was submitted to the patent office, establishing its priority date. The publication date is when the patent document became publicly available, allowing others to review its details and understand the scope of the innovation. These dates are crucial for tracking the lifecycle and legal standing of the patent.","question":"When was the 'Method for Generating a Cyclic Video Sequence' filed/granted?"},{"answer":"The commercial applications of the 'Method for Generating a Cyclic Video Sequence' are extensive, spanning any area where high-quality, continuous video loops are desired. This patent offers solutions that can directly translate into business value.\n\nFor **digital marketing agencies and brands**, it means creating superior social media content, website hero videos, and digital advertisements that capture attention without jarring breaks, leading to higher engagement and conversion rates. In **retail**, it can power seamless product demonstrations on in-store digital signage, enhancing the shopping experience and brand image. **Software developers and platform providers** can integrate this technology into video editing suites, content management systems, or offer it as a cloud-based service (SaaS) for automated loop generation, creating new revenue streams through licensing or subscriptions.\n\nBeyond these, the 'Method for Generating a Cyclic Video Sequence' is invaluable for **immersive media developers** building virtual worlds or AR experiences where continuous ambient visuals are critical for immersion. It can also be used in **interactive kiosks, exhibition displays, and live event backdrops** to provide dynamic, uninterrupted visual environments. The ability to automate the creation of flawless loops translates directly into cost savings, improved content quality, and a competitive edge in various markets.","question":"What are the commercial applications of the 'Method for Generating a Cyclic Video Sequence'?"},{"answer":"The 'Method for Generating a Cyclic Video Sequence' lays a robust foundation for exciting future developments in video technology. We can anticipate several advancements building upon this core innovation.\n\nOne key area is **integration with advanced AI and machine learning**. Future iterations might leverage generative adversarial networks (GANs) or variational autoencoders (VAEs) for even more photorealistic and semantically intelligent morphing, allowing for complex scene transformations. This could lead to AI-driven tools that not only create seamless loops but also generate entirely new, contextually relevant connecting sequences.\n\nAnother development could be **real-time and adaptive looping**. Imagine systems that can dynamically generate seamless loops on the fly for live streaming, interactive art installations, or personalized video content based on user input or environmental data. This would require significant optimization for computational speed and efficiency.\n\nFurthermore, **semantic looping** could emerge, where the system understands the narrative or emotional content of a video, enabling it to create loops that are not just visually smooth but also maintain a coherent story or mood. This would move beyond purely visual similarity to a deeper understanding of video content, further enhancing the impact of the 'Method for Generating a Cyclic Video Sequence' in creative and commercial applications.","question":"What are the future developments expected for the 'Method for Generating a Cyclic Video Sequence'?"}],"topics":["Method for Generating a Cyclic Video Sequence","cyclic video sequence","seamless video loops","video morphing","patent US-9852767","challenge","generating","truly"],"tech_cluster":null},"seo":{"title":"Seamless Video Loops: Method for Generating a Cyclic Video Sequence - US-9852767","description":"Discover the Method for Generating a Cyclic Video Sequence patent (US-9852767) for flawless video loops. Automated morphing creates imperceptible transitions for engaging content.","keywords":["Method for Generating a Cyclic Video Sequence","cyclic video sequence","seamless video loops","video morphing","patent US-9852767","video content automation","digital media innovation","video editing technology","computer vision video","algorithmic video generation"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9852767","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9852767","citation_suggestion":"Patentable. \"Method for generating a cyclic video sequence\" (US-9852767). https://patentable.app/patents/US-9852767","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9852767","json":"https://patentable.app/api/llm-context/US-9852767","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T15:31:52.431Z"}