Press Release
WarRin Protocol: A point-to-point anonymous privacy communication system
Dr.WarRin
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.
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
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.
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.
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:
Curve25519 Curve Mathematical Expression:
Curve25519 encryption algorithms are used for standard private and public keys, and the private keys used for Curve25519
encryption algorithms are typically defined as secret
indices, corresponding to
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
public
and private keys, perform the following
calculation:
Generate a one-time random secret
index, calculated using Montgomery, because the message is a symmetrical password encrypted using 256-bit sharing, such as AES using a 256-bit integer
one-time public key, as akey, and 256-bit integer is a
prefix to encrypted information. Once a party to
the public
key receives this message, it can start by calculating , that is ,
the receiver recovers the shared secret and
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
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 to the Gain function, the
larger the number of layers,
the greater the growth rate, the faster each layer is filled, and the
greater the circulation.
3.2 Allocation
WarRin protocol node distribution
3.2.1 Node allocation
Set the initial price
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
node token is assigned to the piece, for the price of
the layer where the node
is located, there is a
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
3.2.2 Total number of address assignments
Each node occupies one address, and the total number of 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 ( the
value factor, the number of
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.
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About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
AccountingOCR.com Releases AI OCR Platform for Accounting Teams
AccountingOCR.com has launched a new AI-powered OCR platform built for accounting workflows. The software helps firms and finance teams extract structured data from financial documents without relying on templates or manual document setup.
Mississippi, United States, 1st Apr 2026 – AccountingOCR.com recently announced the launch of its AI OCR platform designed to help accounting teams convert financial documents into structured digital data.
The platform was developed for firms and finance departments that regularly work with invoices, receipts, bank statements, tax forms, and other records that often arrive in inconsistent formats. In many accounting environments, processing these documents still involves a mix of manual entry, template-based extraction tools, and fragmented systems for different document types. AccountingOCR.com enters the market with a broader approach focused on handling varied financial records through a single AI-driven workflow.
According to the company, the software reads data from scanned paper documents, digital PDFs, and image-based files without requiring fixed templates or document-by-document configuration. The goal is to make document intake more practical for accounting teams that need to work across changing layouts, multiple clients, and large volumes of records while keeping extracted information usable for spreadsheet review and accounting system imports.
A key part of the platform’s positioning is its focus on accounting use rather than general OCR alone. In addition to extracting text and tables, the software is designed to support early-stage classification of financial data, helping teams organize information in a way that better fits bookkeeping and reporting workflows. This reflects growing demand for tools that do more than capture text and instead help reduce the administrative burden around coding, categorization, and review.
The launch also speaks to a wider shift taking place across the accounting profession. As firms manage rising document volumes and tighter reporting timelines, there is increasing pressure to reduce repetitive processing work without sacrificing structure or control. AccountingOCR.com is aimed at teams looking for a more consistent way to move from raw financial documents to usable data without adding more manual steps to the process.
The company said the platform includes security controls intended for organizations handling sensitive financial information. It states that the software is SOC 2 Type 2 certified, uses encryption for data in transit and at rest, and does not use customer files to train AI models. Documents processed through the system are automatically deleted within 24 hours.
About AccountingOCR.com
AccountingOCR.com is an AI-powered OCR software platform focused on accounting and financial document processing. The company helps firms and finance teams extract structured data from invoices, receipts, statements, tax forms, and other records for use in spreadsheets and downstream accounting workflows.
Media Contact
Organization: AccountingOCR.com
Contact Person: Zoe Russell
Website: https://www.accountingocr.com/
Email: Send Email
State: Mississippi
Country:United States
Release id:43490
The post AccountingOCR.com Releases AI OCR Platform for Accounting Teams appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
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Press Release
ContractExtraction.com Launches AI Platform for Extracting Data from Contracts
ContractExtraction.com has launched a new AI-powered platform designed to extract key terms from contracts and convert them into structured data. The software is intended to help legal, procurement, and operations teams reduce the time spent reviewing agreements manually and improve visibility across large contract portfolios.
United States, 1st Apr 2026 – https://www.contractextraction.com announced the launch of its new contract extraction platform, a software solution developed to help organizations identify and structure important terms from contracts, NDAs, and related agreements through AI.
For many businesses, contract information is available but not easily usable. Important details such as effective dates, renewal terms, payment obligations, notice periods, and party names are often buried in lengthy agreements that must be reviewed one by one. This can create delays not only in legal review, but also in procurement, compliance, and operational planning, especially when organizations are working across large volumes of active and legacy contracts.
ContractExtraction.com was developed to address that challenge by turning contract language into structured output that can be searched, filtered, and analyzed more efficiently. According to the company, the platform is designed to interpret legal phrasing and identify key business terms across a wide range of contract formats without requiring template setup or document-by-document configuration. The software is intended to help teams move more quickly from document review to practical contract visibility.
The company says the platform is particularly relevant in situations where businesses need to review agreements at scale, whether for migration projects, portfolio cleanup, vendor oversight, or renewal tracking. In these settings, the burden often comes from the amount of manual reading required to locate recurring terms across hundreds or thousands of files. ContractExtraction.com is positioning its software as a way to reduce that burden while making contract information easier to use in downstream systems and reporting environments.
The launch reflects broader interest in tools that can support contract operations beyond storage alone. As organizations place greater emphasis on obligation tracking, commercial visibility, and internal controls, there is increasing demand for systems that can help transform static agreements into working data. The company says this is especially relevant for teams that need contract information to support ongoing decisions rather than remain locked inside legal documents.
ContractExtraction.com also states that the platform is SOC 2 Type 2 certified and HIPAA compliant, uses AES-256 encryption for data at rest, protects data in transit with TLS 1.2 or higher, does not use customer files to train AI models, and deletes processed contracts within 24 hours. According to the company, these measures are intended to support organizations that require stronger safeguards when handling sensitive legal and business records.
One user described the impact by saying that a portfolio migration involving more than 2,000 legacy contracts, which would have taken months to review manually, was completed in two days using automated extraction. The company says this reflects growing demand for tools that can help legal and business teams work through contract volume with greater speed and consistency.
About ContractExtraction.com
ContractExtraction.com helps organizations extract key terms and structured data from contracts using AI. The platform is designed to make information from agreements easier to use in spreadsheets, reporting tools, and contract management workflows.
Media Contact
Organization: ContractExtraction.com
Contact Person: Isaac Bell
Website: https://www.contractextraction.com/
Email: Send Email
Country:United States
Release id:43461
The post ContractExtraction.com Launches AI Platform for Extracting Data from Contracts appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
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Press Release
ContractDataExtraction.com Launches AI Tool to Convert Contracts into Structured Data
ContractDataExtraction.com has launched a new AI-powered platform designed to convert contracts into structured, spreadsheet-ready data. The software is intended to help legal, procurement, and operations teams work more effectively with contract information that is often difficult to track once it is locked inside static documents.
United States, 1st Apr 2026 – ContractDataExtraction.com recently announced the launch of its new contract analysis platform, a software solution developed to help organizations extract structured data from contracts, agreements, and related records through AI.
The release addresses a common challenge in contract management. While contracts often contain critical information tied to renewal timing, payment obligations, termination rights, liability terms, and operational commitments, much of that information remains embedded in documents that are easy to store but difficult to monitor at scale. In many organizations, this leads to fragmented review processes, limited visibility across contract portfolios, and avoidable risk when key terms are not surfaced in time.
ContractDataExtraction.com was developed to address that gap by converting contract language into structured output that can be searched, filtered, and analyzed more easily. According to the company, the platform is designed to identify key provisions and business terms across a wide range of contract formats without requiring document-specific templates or manual setup. The software is intended to support both newly received contracts and legacy archives that may currently sit in shared folders, inboxes, or document repositories without a practical way to compare them at scale.
The company says the platform is especially relevant for teams that need contract data in a working format rather than a storage format. In legal and procurement environments, the challenge is often not access to contracts themselves, but the time required to locate and organize the information that matters across hundreds or thousands of files. ContractDataExtraction.com is positioning its platform around that operational need, with an emphasis on helping businesses turn agreements into usable datasets that support oversight, compliance, and planning.
The launch also reflects a broader shift in how organizations are approaching contract operations. As companies place greater emphasis on renewal management, vendor governance, and internal controls, there is increasing demand for tools that can surface contractual information without requiring line-by-line manual review for every document. The company says this is particularly important where large contract inventories make traditional tracking methods difficult to sustain.
ContractDataExtraction.com also states that the platform is SOC 2 Type 2 certified and HIPAA compliant, uses AES-256 encryption for data at rest, protects data in transit with TLS 1.2 or higher, does not use customer files to train AI models, and deletes processed contracts within 24 hours. According to the company, these measures are intended to support organizations that require stronger standards around privacy, security, and document handling.
One user described the impact by saying that a contract archive containing thousands of documents could be converted into a searchable spreadsheet within days, allowing the team to identify expiration dates and renewal terms that had previously been difficult to track. The company says this reflects growing demand for tools that can help organizations move from passive contract storage to more active contract visibility.
About ContractDataExtraction.com
https://www.contractdataextraction.com aims to help organizations extract structured data from contracts using AI. The platform is designed to make information from agreements, NDAs, leases, and other contract records easier to use in spreadsheets, reporting tools, and operational workflows.
Media Contact
Organization: ContractDataExtraction.com
Contact Person: Nora Kelly
Website: https://www.contractdataextraction.com/
Email: Send Email
Country:United States
Release id:43460
The post ContractDataExtraction.com Launches AI Tool to Convert Contracts into Structured Data appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
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