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WarRin Protocol: A point-to-point anonymous privacy communication system

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Dr.WarRin

www.bitcointalk.org

Summary

This white paper provides an explanation of the WarRin protocol and related blockchain, point-to-point, network value, transport protocol, and encryption algorithms. The limited space will highlight the WRC allocation scheme and purpose of the WarRin Protocol Token, which is important for achieving the WRC’s stated objectives.  This white paper is for informational purposes only and is not a promise of final implementation details. Some details may change during the development and testing phases. 

1.  Introduction

Traditional centralized communication systems such as WeChat,WhatsApp, FacebookMessage,Google  Allo,Skype face a range of problems, including government surveillance, privacy breaches, and inadequate security, and the WarRin protocol proposes apoint-to-pointencrypted communications system that leveragesblockchain technology, combined  with Double Ratc het algorithms, pre-keys, and extended X3DH handshakes. The WarRin Protocol uses The Generalized Directional Acyclic Graph  and Curve25519,AES-256,  and HMAC-SHA256  as the pronamor, allowing each account to have its own unique account chain, providing unlimited instant communication between points and unlimited scalability, anonymity, integrity, consistency, and asynchronousness. 

2. WarRin Protocol communication system

2.1 Two types of communication

The Waring Protocol communication system divides chat channels into two types.

Image

Two modes of communication

  • General Chat mode: Using point-to-point encrypted communication, the service side has access to the key and can log in via multiple devices. 
  • Secret Chat mode: Encrypted communication using point-to-point can only be accessed through two specific devices. 

The design combines some of the advantages of raiBlocks    multi-chain construction with IOTA/Byteball  DAG, which we call the Waring protocol. With improvements, we have given the WarRin protocol greater throughput and faster processing power while ensuring the security of the ledger, and network nodes can store the ledger in less space and search their communications accounts quickly in the ledger.  When two users communicate, third parties contain content that neither manager can access. When a user is chatting in secret, the message contains multimedia that can be designated as a self-destruct message, and when the message is read by the user, the message is automatically destroyed within the specified time. Once the message expires, it disappears on the user’s device. 

2.2 How chat history is encrypted

2.2.1 MTProto  Transport Protocol

Image

MTProto transport protocol

The WarRin communication system draws on RaiBlocks’ multi-chain structure for point-to-point communication. Each account has its own chain that records the sending and receiving behavior of the account. For example, in Figure 1,   there are 7  accounts, each with 7 chain records of the account sending and receiving communications. On the graph, horizontal coordinates represent the timeline, and portrait coordinates represent the index of the account. 

Transferring information from one account to another requires two transactions: one to send a communication from the sender’s transfer content, and one to receive information to add that content to the content of the receiving account. Whether in a send-side account or a receiving account, a PoW proof of work with the previous communication content Hash is required to add new communications to the account.  In the account chain, poWwork proves to be an anti-spam communication tool that can be done in seconds. In a single account chain, the Hash field of the previous block is known to pre-generate the PoW required for subsequent blocks. Therefore, as long as the time between the two communications is greater than the time required to generate the PoW, the user’s transaction will be completed instantaneously. 

In such a design, only the receiving end of the communication is required for settlement. The receiving end places the received communication signature on the account chain, which is called accepted communication. Once accepted, the receiving end then broadcasts the communication to the ledger of the other nodes. However, there may be situations where the receiving end is not online or is subject to a DoS   attack, which prevents the receiving end from putting the receiving side communication on the account chain, which we call uncommoted transactions. The X symbol in Figure 1 represents an open transaction sent from Account 2 to Account 5.  

Image

Obviously, because only the sending and receiving sides of the communication are required to settle, such communication is very lightweight, all traffic can be transmitted in a UDP package and processed very quickly. At the same time, all communications in an account are kept in one chain, with great integrity, and the ledger can be trimmed to a minimum. Some nodes are not interested in spending resources to store the full communication history of the account;   They are only interested in the current communications for each account. When an account communicates, its accumulated information is encoded, and these nodes only need to keep track of the latest blocks so that historical data can be discarded while maintaining correctness. Such communication is only possible if the sending and receiving sides trust each other and are not the final settlement of the entire network consensus. There is a security risk in the absence of trust on the sending and receiving ends, or in situations where the receiving end is attacked by DoS without the sender’s knowledge. 

We have observed that although each account has a separate chain, the entire ledger can be expressed in the form of a WarRin object. As shown in Figure 2, this is represented by the WarRin astros trading on all accounts in Figure 1.  

Image

The first unit in the WarRin object is the Genesis unit, the next six cells represent the allocation of the initial token, and the other units correspond to the communication transactions between the account chains. We use the symbol a/b to represent a communication transaction, where the sender is a andthe recipient is b. The last  4/1 unit in Figure 2 is the last communication corresponding to Figure 1  – sending communication from account 4 to account 1. A transaction in Figure 1 is a confirmation of the latest block or the latest communication on the account chains of both parties to the communication, reflected in Figure 2 as a reference to the latest units of the account chains of both parties to the communication. Take unit 4/1, for example, where the latest  block on account 4 was the receiving block for 2/4  trades and the newest block on  account 1 was the send block for 1/5 trade. So on the DAG, the 4/1 cell refers to the 2/4 cell and the 1/5 cell. 

The WarRin protocol uses triangular shrapned storage technology to crack impossible triangles in the blockchain through the shrapghine technology, with extensive node engagement and decontalination  while maintaining high throughput and security:

  • Complete shraping of blockchain status;
  • Secure and low-cost cross-synth trading;
  • Completely random witness selection;
  • Flexible and efficient configuration

Complete decentralization ensures absolute security and scalability of the standard chain.

(Figures   above show seven Ling-shaped objects:2/1 one;3/2  one… )

2.2.2 Curve25519 Elliptic Curve Encryption Algorithm

Curve25519,  proposed by Daniel Bernstein, is anelliptic  curve algorithm for the exchange of The Montgomery Curve’s Difi Herman keys. 

Montgomery Curve Curve Mathematical Expression: 图片图片

Curve25519 Curve Mathematical Expression:图片

Curve25519  encryption     algorithms are    图片 used for standard private and public keys, and the private keys used for Curve25519  图片 encryption algorithms are typically defined as secret 图片 indices, corresponding to 图片public  keys, coordinate points, which are usually sufficient to perform ECDH (elliptical) and symmetrical  elliptic curve encryption algorithms. If one party wants to send information to the other party and the other party has the 图片 public 图片and private keys, perform the following 图片calculation:

Generate a one-time random secret 图片图片   图片 index, calculated using Montgomery, because the message is a symmetrical password encrypted using 256-bit  sharing, such as AES  using a 256-bit integer 图片 one-time public key,  as akey, and 256-bit integer is a 图片prefix to encrypted information. Once a party to   图片图片图片the public 图片key receives this message, it can start by calculating , that is ,图片the receiver recovers the shared secret and 图片is able to decrypt the rest of the information. 

3. Incentives

On the basis of the WarRin agreement, by adding the incentive layer, we can effectively avoid the whole network being attacked and eliminate spam. As long as honest nodes control most of the calculations, for an attacker, the network is robust because of its simplicity of structure, and nodes need little coordination to work at the same time. They do not need to be authenticated because information is not sent to a location. 

3.1 WRC Certificate

WRC issued a total of 2,500,000 pieces and continued to increment according to the WoRin gain function. 

3.1.1 WoRin Gain Function

Image
Image

3.1.2 WoRin gain function control table

The WoRin gain function is compared to the table
Number of layers /F Growth factor /I WRC circulation
[1,50] 0.002 334918.8057
[51,100] 0.002 780024.2108
[101,150] 0.004 1177129.617
[151,200] 0.006 1487860.923
[201,250] 0.01 1722637
[251,300] 0.016 1894309.216
[301,400] 0.03 2101623.789
[401,500] 0.06 2217555.464
[501,1000] 0.1 2450712.257
[1001,2000] 0.12 2557457.3

According 图片to the Gain function, the 图片larger the number of layers, 图片the greater the growth rate, the faster each layer is filled, and the 图片greater the circulation. 

3.2 Allocation

Image

WarRin protocol node distribution

3.2.1 Node allocation

Set the initial price  图片  图片图片to 0.02,the layer where the first node is located is , according to the equation of the iso-difference column, there is , so that the 图片node token is assigned to the piece, for the price of 图片 the layer where the node 图片is located, there is a 图片图片set. 

For example, the number of tiers in which the  98th  node is located is Tier 13,  and the price of Tier 13 is 0.214,the tokens assigned by Tier 98 are 图片

3.2.2 Total number of address assignments

Each node occupies one address, and the total number of 图片addresses is

4. The use

WRC is the native pass-through of the WarRin protocol, andWRC will assign to Genesis nodes according to the above allocation scheme, which together form the entire network, andWRC can be used in the following scenarios, including but not limited to:

Pay the network’s gas charges, i.e. for transferring money and invoking smart contracts;

System Staking tokens, used for node elections and token issues;

The capital is lent to the validator in exchange for the amount of the reward;

Voting rights for system proposals;

The means of payment for apps developed  on WoRin Services;

WoRin Storage is a means of payment on the decentralization storage;

WoRin DNS domain name and WoRin  WWW website means of payment;

WoRin Proxy agents hide the means of payment for body and IP addresses;

WoRin Proxy penetrates payment methods reviewed by local ISPs

……

5. Conclusions

Metcalfe’s Law states that thevalue of a network is equal to the square of the number of nodes within the network, and that the value of the network is directly related to the square of the number of connected users. That is 图片( the 图片value factor, the number of 图片users.)  That is, the greater the number of users on a network, the greater the value of the entire network and each computer within that network. The WarRin protocol also follows this law, and when the number of nodes reaches a certain level, the entire network becomes more robust. 

References

[1] K. Birman, Reliable Distributed Systems: Technologies, Web Services and

Applications, Springer, 2005.

[2] V. Buterin, Ethereum: A next-generation smart contract and de- centralized

application platform, https://github.com/ethereum/wiki/wiki/White-Paper,  2013.

[3] M. Ben-Or, B. Kelmer, T. Rabin, Asynchronous secure  computa-  tions  with

optimal resilience, in Proceedings of the thirteenth annual ACM symposium on

Principles of distributed computing, p. 183–192. ACM, 1994.

[4] M. Castro, B. Liskov, et al., Practical byzantine fault tolerance, Proceedings of the

Third Symposium on Operating Systems Design and Implementation (1999), p. 173–

186, available at http://pmg.csail.mit.edu/papers/osdi99.pdf.

[5] EOS. IO, EOS. IO technical white paper,

https://github.com/EOSIO/Documentation/blob/master/TechnicalWhitePaper.md,

2017.

[6] D. Goldschlag, M. Reed, P. Syverson, Onion Routing for  Anony-  mous  and

Private Internet Connections, Communications of the ACM, 42, num. 2 (1999),

http://www.onion-router.net/Publications/CACM-1999.pdf.

[7] L. Lamport, R. Shostak, M. Pease, The byzantine  generals  problem, ACM

Transactions on Programming Languages and Systems, 4/3 (1982), p. 382–401.

[8] S. Larimer, The history of BitShares,

https://docs.bitshares.org/bitshares/history.html, 2013.

[9] M. Luby, A. Shokrollahi, et al.,  RaptorQ  forward error correction scheme for

object delivery, IETF RFC 6330, https://tools.ietf.org/html/rfc6330,  2011.

[10] P. Maymounkov, D. Mazières,  Kademlia: A peer-to-peer  infor-  mation  system

based on the XOR metric, in IPTPS ’01 revised pa- pers from the First International

Workshop on Peer-to-Peer Systems, p. 53–65, available at

http://pdos.csail.mit.edu/~petar/papers/ maymounkov-kademlia-lncs.pdf, 2002.

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Press Release

The DATA Foundation Launches to Tackle AI’s Multi-Billion Dollar Training Data Bottleneck

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Palo Alto, United States, June 25th, 2026, Chainwire

Story rebrands as The DATA Foundation, launches DATA Network with flagship Kled AI integration, registering 1.5 billion user-contributed records on the platform

The Foundation also introduces Trace, the first public audit layer for consent, licensing, and data provenance at scale

Today, Story announces a strategic transition to become The DATA Foundation (“DATA”) and launches Trace, an onchain registry for AI training data provenance and licensing. The launch includes a flagship integration with Kled, the world’s largest opt-in human data marketplace, registering 1.5 billion user-contributed records on the Network. Andrea Muttoni becomes CEO of The DATA Foundation, and Kled’s founder, Avi Patel, joins in an advisor position as the Chief Data Officer. 

AI’s Training Data Has Hit a Bottleneck

The shift to DATA reflects where the market is pulling hardest. AI training data has emerged as the most valuable and least solved category of IP. Frontier AI labs have hit a multi-billion-dollar data bottleneck, where the internet has been effectively exhausted for scraping. The remaining supply is either expensive and bespoke or legally undocumented, leaving labs without a way to source data at scale, prove its provenance, or guarantee its quality.

The legal stakes are rising, as frontier labs stake out market-defining products on data sourced through opaque networks, often without clear records of consent or jurisdiction. Scraped and undocumented data is no longer an option for enterprise-grade AI.

“The challenge in AI has shifted from compute and architecture to sourcing and provenance. As the scrapable web fractures, the question for labs now is who is keeping the receipts,” said Andrea Muttoni, CEO of The DATA Foundation. “With Kled, we combine full data transparency and auditability with the largest pool of AI training data on the planet.”

Building the Infrastructure for Trusted AI Data

DATA builds on the original mission to deliver a data and intellectual property (IP) layer for the internet, recognizing that the form of data and IP that is most critical in this era is AI training data. DATA Network brings essential infrastructure for training AI, anchored by a flagship integration with Kled. Starting today, Kled’s licensing rails and contributor receipts run on DATA Network with added support for stable coin payouts, which involves registering a staggering 1.5 billion user-contributed records with programmatic legal safeguards.

“Frontier labs have exhausted the supply of high-quality, human-generated public text available on the open web. Suppliers showing data-sourcing provenance will win the next decade of deals, and that’s our bet,” said Avi Patel, CEO and founder of Kled and part-time advisory CDO of The DATA Foundation. “Instead of sourcing data blindly, Kled’s data marketplace and DATA’s auditable chain of custody converge on what labs actually need to license data with confidence and transparency.” 

Trace Launches as the Public Audit Layer for AI Training Data

Trace, The DATA Foundation’s public audit and search platform, also launches today alongside the Kled integration. Trace generates immutable, confidential receipts for every contribution, allowing labs to verify the legitimacy of datasets in seconds. For every single record uploaded by users worldwide, a receipt on DATA will be generated, enabling upstream compensation for contributors’ data and intellectual property. This addresses an urgent need for a verifiable and compliant AI training data market, which has become a legal and operational minefield.

A Wider Contributor Network

DATA’s thesis was validated by Poseidon, the AI data processing project incubated by Story, which cleans, normalizes, and scores raw human data for authenticity and quality, ensuring every record that reaches a buyer is model-ready. Poseidon’s early traction with frontier labs proved the AI training data opportunity. Backed by a16z and now running entirely on DATA, its contributor app Numo is live today, bringing thousands of contributors into the AI economy in exchange for real-time payouts. 

“We started Story to build an IP layer for the internet, and the most important IP of this era is the data you can’t scrape: how a surgeon’s hands move, how a robot grips, how people speak, drive, and work in the real world,” said SY Lee, CEO of PIP Labs and strategic adviser to The DATA Foundation. “DATA is where that conviction goes next: an end-to-end network that proves real-world data’s origin, licenses it, and pays the people who made it. “

Token Migration and Ecosystem Continuity

The $IP token migrates to $DATA one-to-one with no action required from existing holders. Migration guidance, exchange timing, and an FAQ are available here.

About The DATA Foundation

Data is the biggest bottleneck in frontier AI. The data models need most either sits siloed with people and companies, or doesn’t exist yet, and won’t, until incentives are aligned to create it. DATA Network is the world’s AI audit rails built to answer the three questions every lab asks: can you source data at scale, prove where it came from, and guarantee its quality? Contributor apps including Numo and Kled supply opt-in human data; Trace gives every record a public, tamper-proof receipt; Poseidon turns it into model-ready datasets, so frontier AI can keep advancing on a foundation it can trust. $IP is now $DATA. More information available at datafdn.org

Contact

HV
henri.vies@piplabs.xyz

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Press Release

Solstice and Tensorx to Buy $1 Billion in AI Infrastructure to Support EU Sovereign AI Demand

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London, United Arab Emirates, June 25th, 2026, Chainwire

Solstice to launch aiUSX, a yield-bearing asset that lets companies help finance the buildout with the capital they already hold for AI.

TensorX and Solstice today announced a partnership to finance European sovereign AI infrastructure. TensorX and Solstice will work together to create a facility with up to $1 billion in capacity to finance AI hardware and data-center build-out to meet rising demand for sovereign compute across the EU. Solstice will provide the onchain financing for that buildout and will launch aiUSX, a potential yield asset that opens the same infrastructure lending to companies holding capital for AI.

TensorX owns and operates a fleet of NVIDIA GPUs and delivers AI models in EU data centres with zero data retention, predictable pricing with best-in-class performance. The company works with AI startups and enterprises across the EU block with plans to expand into other global jurisdictions.

“Europe wants AI that can run on its own terms, on its own soil, without handing its data to someone else’s cloud on the world stage,” said Tim Grant, Executive Chairman of TensorX. “Meeting that accelerating demand takes hardware, and a lot of it. The billion dollars going into GPUs and data center capacity is the first step, and we expect to keep buying as demand grows. Solstice gives us a financing partner that can keep pace with this incredibly fast moving market.”

aiUSX: Financing the AI Buildout With Capital Companies Already Hold

Companies hold growing piles of cash and stable assets for their AI spend while inference bills climb. These two pools sit apart, and the cash earns nothing while it waits. aiUSX closes that gap. The capital a company sets aside for AI goes into aiUSX, which opens access to the AI-infrastructure lending Solstice finances, the same deals large institutions fund. The company takes the position of an infrastructure lender without becoming one or underwriting anything itself; for example, USD.ai has brought capital to AI hardware across the wider buildout. At launch, aiUSX will be capped at $5 million, with yield generated by the lending it gives access to. The capital stays liquid and redeemable, and what it earns goes toward the cost of inference later.

“Every company is turning into an AI company, and every one of them watches its inference bill climb,” said Ben Nadareski, CEO of Solstice. “aiUSX puts the money they set aside for AI to work in the meantime. They get access to the kind of AI-infrastructure lending that used to sit with large institutions, the capital stays liquid, and what it earns goes toward inference later. It is treasury management for the AI era.”

“Sovereign AI is one of the biggest infrastructure buildouts of this decade, and it runs on capital as much as it runs on chips,” said Stuart Connolly, CIO of Deus X Capital. “TensorX builds the compute, Solstice brings the financing, and aiUSX lets more companies take part in funding it. Both companies are in the Deus X Capital ecosystem, which is why we’re uniquely positioned to deliver this to the market.”

About Solstice

Solstice is an onchain settlement and yield protocol and part of the Deus X Capital ecosystem. Its dollar-denominated asset, USX, and its treasury products provide institutions and businesses with capital that remains liquid and productive. Solstice has a three-year audited track record and more than $500 million in total value locked.

https://solstice.finance/

About TensorX

TensorX is a sovereign AI infrastructure company based in Dublin. It buys and operates AI hardware and data-center capacity across the EU, connects clients to private compute, and keeps prompts and data on European infrastructure with full data residency and zero retention.

https://tensorx.ai/ 

Contact

Laura
Conquista Ventures
laura@conquista.co

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Press Release

Karviva Profit Cacao Whole Plant Protein & Prebiotic Smoothie Selected as a Good Housekeeping 2026 Snack Awards Winner

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Saint Louis, Missouri, United States, 25th Jun 2026 – Karviva announced today that the Karviva Profit Cacao Whole Plant Protein & Prebiotic Smoothie was named a winner in Good Housekeeping’s 2026 Snack Awards. The product was recognized in the Beverage category. The full list of awards can be found on goodhousekeeping.com/snacks2026.

 

The Karviva Profit Cacao Whole Plant Protein & Prebiotic Smoothie is a ready-to-drink, USDA Organic and Non-GMO Project Verified beverage crafted from a whole plant blend of organic cacao, wild chestnut, quinoa, gluten-free oats, oat protein, flaxseed, and pear. Each 12 fl oz bottle delivers 20 grams of plant protein, 8 grams of dietary fiber, and only 2 grams of total sugars with zero added sugars, designed to support sustained energy, digestive health, and everyday nutrition without compromise. The smoothie reflects Karviva’s founding philosophy that Food Is Better Medicine™, bridging modern nutritional science with the principles of Traditional Chinese Medicine.

 

About Good Housekeeping’s 2026 Snack Awards

To find the best snacks on the market, the Good Housekeeping Institute’s registered dietitians and culinary experts rigorously analyzed the ingredient lists, nutrition facts labels, packaging claims, and flavor profiles of hundreds of submissions. Next, more than 2,000 taste testers tried the snacks to help determine which ones came out on top in the real world. Winners were selected based on innovations in the food space that taste great and meet nutritional criteria, such as caps on per-serving calories, sugar, and sodium.

 

What Good Housekeeping said about Karviva Profit Cacao

GH’s dietitians highlighted the nutritional balance, and taste testers described it as rich, chocolatey, and smooth. “I really enjoyed the taste of this drink, and it kept me very satisfied,” one tester said. “I could see anyone who is a fan of chocolate milk really liking it.”

Quote from Karviva

“Wellness is not a sprint or a quick fix. It is rhythm, not restriction,” said Dr. Angela Zeng, Ph.D., MBA, founder of Karviva. “Being named a Good Housekeeping 2026 Snack Awards winner is meaningful because the evaluation was rigorous, the panel was credible, and the testers were real. It affirms what we have built at Karviva from day one: that whole plant nutrition, rooted in science and tradition, can be clean, functional, and deeply satisfying.”

 

Founded in 2017 by Dr. Angela Zeng, a food scientist and Traditional Chinese Medicine scholar trained in pathology and biochemistry, Karviva was built to bridge ancient herbal wisdom with modern clinical nutrition. Rather than dilute the formulas to fit existing co-packers, Dr. Zeng built her own production facility in St. Louis. Today, Karviva is sold in more than 2,000 retail locations across the U.S. and Canada, including Whole Foods Midwest, Sprouts Farmers Market, Gelson’s, Stop & Shop, and HomeGoods, with over one million bottles sold to date and more than 20 million combined monthly media impressions across syndicated features.

 

About Karviva

Karviva is a multi-award-winning functional beverage brand crafting low-sugar, plant-powered drinks that blend modern nutritional science with ancient Eastern wisdom. Founded by Dr. Angela Zeng, Ph.D., MBA, a TEDx speaker, food scientist, and Traditional Chinese Medicine scholar, Karviva is built on the philosophy that Food Is Better Medicine™. Every beverage is crafted from whole plants, hydroponic sprouts, and superfruits like aronia to deliver antioxidants, prebiotic fiber, and clean energy, with no added sugar, no artificial sweeteners, and always non-GMO.

Karviva products are made in St. Louis and available in more than 2,000 retailers nationwide. Recognized by the 2025 World Beverage Innovation Awards (Best Low/No Alcohol Beverage), the 2025 ECRM Buyer’s Choice Award, and Progressive Grocer’s 2026 Editors’ Picks, Karviva has been featured in Forbes, Bon Appétit, USA Today, Bloomberg, Yahoo Finance, and MarketWatch. Learn more at karviva.com.

Media Contact

Organization: Karviva

Contact Person: Dr. Angela Zeng

Website: https://karviva.com/

Email:
angela@karviva.com

City: Saint Louis

State: Missouri

Country:United States

Release id:46325

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