> For the complete documentation index, see [llms.txt](https://whitepaper.anttime.net/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.anttime.net/products-and-services/antground/dog-race.md). # DOG RACE ### 1. Introduction DOG RACE is a dynamic simulation racing game within the ANTTIME ecosystem. Users can use their analysis and intuition to predict the winner among the competing dogs and earn ANT token rewards based on the outcome. This content serves as a key utility feature that stimulates token circulation and provides entertainment value to the community. ### 2. Gameplay & Participation * How to Participate: Users participate by allocating ANT tokens to the dog they predict will win the race. * Selection Options: Users can designate their target by selecting the specific dog icons displayed at the bottom of the screen. * Multipliers (Odds): An expected reward multiplier (e.g., x2, x3, x5, etc.) is displayed above each dog character. These multipliers are set differentially based on each character's winning probability. * Asset Deduction: The allocated ANT tokens are immediately deducted from the user’s wallet at the start of the race. ### 3. Rewards System * Winning Condition: A user wins if their selected dog crosses the finish line in first place. * Reward Calculation: Upon winning, the reward is calculated as \[Allocated ANT Amount × Corresponding Multiplier]. * Instant Distribution: Rewards are automatically credited to the user's wallet immediately after the race results are announced. * Transparency: All participation records and reward outcomes can be transparently verified in the Wallet History. ### 4. Features & Technical Structure * Real-time Simulation: Every race is visually rendered through real-time simulation, powered by a fair and randomized probability engine. * Strategic Engagement: Users can choose between high-risk/high-reward or more stable strategies by considering the multipliers assigned to each character. ### 5. Terms & Precautions * Risk of Loss: If the prediction is incorrect, the allocated ANT tokens are fully forfeited. Refunds or recoveries are strictly unavailable under any circumstances. * System Variability: Parameters such as race intervals, multiplier settings, and minimum/maximum participation limits are subject to change without prior notice to maintain the health of the ecosystem. * Disclaimer of Liability: This content is provided for entertainment purposes only. All decisions to participate must be made at the user's own discretion. ANTTIME assumes no responsibility for individual losses incurred as a result of game outcomes. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://whitepaper.anttime.net/products-and-services/antground/dog-race.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.