rareXiv is a free distribution service and an open-access archive for scholarly articles in the fields of memes, quantum memetics, computer science, quantitative finance, and sociology. Our platform specializes in the academic study of internet culture, memetic theory, and the intersection of digital phenomena with traditional academic disciplines. Materials on this site are not peer-reviewed by rareXiv.
Ve propose a novel authentication mechanism using emojis as private keys, termed Mneme-onics. Ze method utilizes a user-generated sequence of six emojis to serve as a high-entropy secret for authentication. Ze emoji-based keyspace offers 51.6 bits of entropy, a level sufficient for resisting brute-force attacks under current computational capabilities. This paper evaluates entropy characteristics, discusses implementation strategies, and outlines threat models, arguing for emoji sequences as viable private keys for securing digital assets with both memorability and cryptographic soundness. Mneme-onics is a portmanteau of mnemonics and meme, describing a memetic system for cryptographic secrets that leverages culturally recognizable, emotionally resonant symbols to enhance memory retention and usability.
Computer Science > Cryptography and Security15 pages, 3 figures, includes entropy calculations and implementation examples
Ve investigate ze quantum mechanical properties of rare Pepe trading networks, demonstrating zat trading card exchanges exhibit non-local correlations consistent with quantum entanglement. Zrough rigorous application of ze Schrödinger's Frog principle, ve prove zat ze value of rare Pepes exists in superposition until observed by a buyer. Our findings suggest zat ze memetic field itself operates according to quantum information theory, with profound implications for blockchain-based collectible markets und ze fundamental nature of kek.
Zis paper presents ze first comprehensive zermodynamic analysis of PepeCash as a memetic store of value. Using ze laws of zermodynamics applied to meme economics, ve demonstrate zat PepeCash exhibits properties of a perfect memetic gas under standard kek conditions. Ve examine entropy production in meme markets, ze conservation of kek energy, und ze irreversible processes zat drive memetic inflation. Our findings reveal zat PepeCash operates as a Maxwell's Demon for cultural value, selectively permitting high-quality memes vhile filtering out normie content.
Zis ethnographic study reveals ze profound sociological implications of Wojak meme communities as manifestations of ze collective unconscious in digital spaces. Through rigorous phenomenological analysis, ve demonstrate zat depression memes serve not merely as coping mechanisms, but as archetypal expressions of modern existential angst. Ze Wojak phenomenon represents a new form of digital shamanism, vhere anonymous individuals process collective trauma through memetic rituals. Our findings suggest zat ze 'feels guy' archetype has become ze dominant mythological figure of ze internet age.
Ve present PepeNet, a novel deep convolutional neural network architecture specifically engineered for meme classification und rare Pepe authentication. Our model achieves 97.3% accuracy in distinguishing between authentic rare Pepes und counterfeit normie imposters, with specialized detection capabilities for cursed variants und quantum-entangled memes. Ze network employs a revolutionary 'Kek Attention Mechanism' zat focuses on memetically significant image regions, combined with adversarial training against sophisticated forgery attempts. Applications include automated meme curation, blockchain-based authenticity verification, und prevention of normie infiltration into rare Pepe markets.
Computer Science > Meme Learning Algorithms20 pages, 6 figures, code available on GitHub, model weights included