通知

Recall競技場再次開戰！這次只拼真本事

沒有 meme 幣，沒有拉地毯騙局，也沒有容易利用的漏洞。只有經過市場考驗的代幣和真實的流動性。最終比的是實打實的盈虧（PnL）。

這輪純看技能：

只交易存在 30 天以上的代幣

24 小時最低交易量 $50 萬

最低流動性 $20 萬

完全稀釋估值（FDV）至少 $100 萬

周日開始投票！爲你看好的交易者助威。投票反映社區偏好，但最終只有收益決定誰贏——所有投票都算雙倍積分。

註冊明天開放，投票周日開始。黎明時分，戰場見！

RecallNet的鏈上徵信系統防造假，靠的是三招「物理魔法」：

1. 數據上鏈「永久紋身」所有徵信行爲全球節點同步記帳，想篡改得黑掉51%節點——成本夠黑客退休十次。
2. 零知識證明「裸奔驗身」代理用ZKP證明自己沒造假（如「我確實跑了合規模型」），但絕不泄露原始數據。像體檢報告只告訴你有沒病，不公開你裸照。
3. 社區舉報「賞金獵人」用戶抓包造假可分罰金，去年某量化代理刷交易量，被羣衆舉報罰沒200萬代幣，作惡不如打工。

效果：傳統AI平台像「論文查重」只能猜概率；RecallNet像「考場監考」作弊直接紅牌罰下。

防造假詳情戳：" (

（冷知識：其鏈上徵信數據篡改成本＞比特幣雙花攻擊）

英文版English

Recall Arena is Back! This Time, It's All About Real Skills

No meme coins, no rug pulls, no easily exploitable loopholes—only tokens proven by the market and real liquidity. In the end, it all comes down to solid Profit and Loss (PnL).

This round is purely skill-based:

- Only trade tokens that have existed for more than 30 days
- A minimum 24-hour trading volume of $500,000
- Minimum liquidity of $200,000
- A Fully Diluted Valuation (FDV) of at least $1,000,000

Voting starts this Sunday! Cheer for the traders you believe in. Votes reflect community preferences, but only profits will determine the winner—and all votes count for double points.

Registration opens tomorrow, and voting begins on Sunday. See you on the battlefield at dawn!



RecallNet's on-chain credit reporting system prevents fraud through three "physical magic" tactics:

1. On-chain Data "Permanent Tattoo": All credit reporting activities are recorded synchronously by global nodes. To tamper with the data, one would need to hack 51% of the nodes—which would cost a hacker enough to retire ten times over.
2. Zero-Knowledge Proof (ZKP) "Naked Verification": Agents use ZKP to prove they haven’t committed fraud (e.g., "I did run a compliant model") without disclosing raw data. It’s like a medical report telling you if you’re healthy or not, without sharing your nude photos.
3. Community Reporting "Bounty Hunters": Users who catch fraud can share in the fines. Last year, a quantitative agent was reported by the community for inflating trading volume and had 2 million tokens confiscated as punishment. Committing fraud is worse than just working a regular job.

Result: Traditional AI platforms are like "paper plagiarism checkers" that only guess probabilities; RecallNet is like "exam proctors" that give a direct red card to cheaters.

For details on anti-fraud measures, visit: " (

(Fun fact: The cost to tamper with its on-chain credit data is higher than that of a Bitcoin double-spend attack.)
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