Table of Contents: BUBIWOT Protocol Research

I. Introduction and Core Principles

Vision and Goals:
Establish a sovereign, user-governed, resilient ecosystem integrating Bitcoin, social reputation, and UBI.
Aim for durability, trust-minimization, decentralization, and sovereignty.

Core Components Synergy:
Detail the interconnectedness of human-only IRL attestations, positive-sum economics with Bitcoin, reputation-weighted filtering, and scalable P2P architecture.
Robust identity underpins reputation, which influences filtering and economic incentives.

Overarching Principle - Trust Minimization:
Emphasize reducing reliance on central authorities and trusted third parties by leveraging cryptography, decentralized consensus, and transparent mechanisms.

II. Foundational Layers

A. Identity Layer: Proof-of-Personhood (PoP) & Attestations

• Human-Only IRL Attestations:
  Define mechanisms for verifying unique human participants without relying on liveness checks.
  This is the bedrock of Sybil resistance and system integrity.

• Sybil Resistance:
  Address long-term resistance against evolving AI capabilities; the strength of PoP mechanisms impacts Sybil attack difficulty.

• P2P Attestation Protocols:
  Design secure, usable, privacy-preserving protocols for mobile environments that resist collusion and spoofing.

• Zero-Knowledge (ZK) Proof Integration:
  Utilize ZK-Proofs for location sharing to enhance verification while preserving privacy.
  Explore advanced cryptographic techniques for identity and reputation verification.
  (If location is even deemed necessary... better to build "too secure" than "not secure enough")

• Non-Biometric Validation:
  Investigate robust and user-friendly methods for human validation.

B. Social Graph Layer: Web of Trust (WoT)

• WoT Structure:
  Design a dynamic, chain-of-referrer based WoT as a directed graph where reputation flows between nodes.

• Topology & Vulnerabilities:
  Analyze network properties to detect suspicious patterns characteristic of Sybil farms or collusion.

• Gamified Incentives:
  Create multi-level incentives that balance reward-seeking behavior with genuine trust connections.

C. Reputation Layer: Dynamic & Multi-Faceted Scoring

• Reputation Scoring Algorithms:
  Develop dynamic systems inspired by PageRank/EigenTrust and SourceCred's graph flow logic.

• Temporal Decay:
  Implement decay mechanisms so that past stakes and attestations lose influence over time.

• Multi-Faceted Modeling:
  Represent reputation as a multi-dimensional profile (stake reliability, attestation honesty, WoT centrality, community contribution) with clear aggregation methods.

• Normalization and Aggregation:
  Normalize disparate inputs using techniques like min-max scaling or z-score normalization.

• Anti-Plutocracy Mechanisms:
  Limit wealth influence through non-linear utility functions and demurrage on reputation.

• Sybil Resistance in Attestations:
  Enhance resistance by leveraging PoP strengths and social graph analysis with algorithms like SybilGuard/SybilRank.

III. Economic Layer: Tokenized UBI & Incentives

A. Bitcoin Integration & Staking

• Bitcoin-Backed Economic Identities:
  Use Bitcoin-backed stakes to establish "skin-in-the-game" endorsements tied to referee legitimacy.

• Connecting Off-Chain Attestations to BTC Value:
  Develop mechanisms linking off-chain P2P attestations to Bitcoin staking/slashing, potentially via L2 solutions.

• Collateralization & Proof-of-Reserves (PoR):
  Ensure that UNIT tokens are verifiably backed by locked Bitcoin collateral, possibly leveraging decentralized oracles.

• Secure Minting:
  Implement "Secure Mint" logic to programmatically verify PoR data before issuing new tokens.

B. UBI Tokenomics & Stability

• UBI Token Issuance Model:
  Design the token model for UNIT that represents a claim on or is backed by staked Bitcoin.

• Economic Stability & Value:
  Develop strategies to counteract inflationary pressures from continuous UBI distribution and to create demand for UNIT.

• Demurrage:
  Incorporate a holding fee to discourage hoarding.

• Transaction Fee Redistribution:
  Use UNIT transfer fees to provide a sink or recirculation mechanism.

• Creating Structural Demand:
  Develop mechanisms that require UNIT for platform services (e.g., communication, storage, governance).

• Yield-Backed Value Support:
  Explore using yields from staked Bitcoin or ecosystem fees to buy back and burn UNIT tokens.

• Reputation-Weighted Distribution:
  Tie a user's UNIT distribution to their multi-faceted reputation score with a baseline allotment for all verified humans.

C. Ranked Speech & Market Dynamics

• Fee Structure:
  Design fee models for auctions that balance revenue generation with accessibility.

• Auction Model Design:
  Research and select auction models (e.g., based on GSP auctions) integrated with the reputation system.

• Market Dynamics Modeling:
  Model demand dynamics for ranked speech and adjust auction parameters to maintain content diversity.

• Bitcoin L2 Integration:
  Implement these auction and fee structures on a suitable Bitcoin Layer 2.

D. Slashing & Economic Disincentives

• Robust Slashing Mechanisms:
  Develop chain-aware slashing tied to referral structures, where the referrer's stake is linked to the referee's legitimacy.

• Game-Theoretic Foundations:
  Apply game theory (e.g., Prisoner's Dilemma) to design deterrents where honesty is the optimal strategy.

• Cost-of-Corruption Analysis:
  Conduct formal analyses for optimal economic deterrence parameters.

IV. System Architecture & Functionality

A. Peer-to-Peer (P2P) Network & Scalability

• Architecture Design:
  Create a scalable P2P network capable of supporting a large user base (e.g., 300 million US users).

• Challenges:
  Address issues in network architecture, data management, and mobile resource constraints.

• Resilience:
  Ensure the design is decentralized, resilient, and censorship-resistant.

B. Decentralized Services

• Sovereign Banking:
  Develop methods for user self-custody of staked BTC and UNIT tokens.

• Secure Communication:
  Evaluate integrations with censorship-resistant P2P messaging protocols using DID/reputation systems.

• Data Indexing & Provenance:
  Research architectures for decentralized data indexing tied to DIDs and blockchain-backed timestamping.

• Authorship & Data Permanence:
  Explore cryptographic attestations and decentralized storage (e.g., IPFS) for verifiable authorship and permanence.

C. Trust-Minimized Social Recovery

• Protocol Design:
  Design protocols enabling account recovery through M-of-N attestations from a user's WoT-selected guardians.

• Leveraging Reputation:
  Incorporate reputation to require minimum guardian reputations and weight attestations.

• Trust Minimization:
  Ensure guardians only authorize pre-defined actions without controlling funds or keys.

• Security Analysis:
  Analyze potential attack vectors including collusion, coercion, and social engineering.

V. Trust Minimization & Security Analysis

A. Overarching Principles

• Security-First Culture:
  Integrate security from the start with ongoing internal reviews and external audits.

• Holistic Vulnerability Analysis:
  Conduct comprehensive system-wide analyses.

B. Component Integration & Interoperability

• Defining Interfaces:
  Establish clear APIs and data formats (e.g., using DIDs, VCs, EAS) for module intercommunication.

• Cross-Chain Communication:
  Design protocols for IBC interactions, especially in Cosmos SDK-based L2 environments.

C. Security Assessment & Audits

• Security Audit Reports:
  Plan for and include summaries of future security audits.

VI. Research Challenges & Future Roadmap

A. Identified Challenges & Dependencies

• Summarize key research challenges such as balancing PoP requirements and linking off-chain attestations to L2 value.
• Outline external dependencies like Bitcoin L1 features, L2 security, ZKP advancements, secure hardware, and regulatory clarity.

B. Phased Approach & Next Steps

• Proposed Phased R&D:
  Recommend a phased approach from foundational research to pilot testing.

• Specialized Research Sub-Teams:
  Dedicate teams to focus on Identity/ZK, P2P/Scalability, Tokenomics/L2, WoT/Reputation/Filtering, and Client-Side Security/UX.

• Detailed Proof-of-Concept (PoC) Plans:
  Develop detailed PoC plans for the highest-risk components.

• Community Engagement & Iterative Development:
  Foster collaborations and adopt an agile approach with clear success metrics (e.g., Sybil infiltration rate, maximum nodes supported).

C. Future Research Directions

• Advanced Graph-Theoretic Algorithms:
  For collusion detection.

• Formal Game-Theoretic Modeling:
  In chain-of-referrer contexts.

• Privacy-Preserving Cryptoeconomics.

• Empirical Studies and Simulations:
  Such as agent-based modeling.

• Comparative Staking Analysis:
  Between BTC and native tokens.

• User-Friendly Non-Biometric Validation & Decentralized Governance Mechanisms.

VII. Content Moderation: WoT Reputation-Weighted Comment Filtering

• Objective:
  Foster healthy discourse, resist spam, and improve content quality.

• Dynamic WoT Basis:
  Utilize the WoT reputation system for filtering.

• Challenges:
  Address subjective definitions of "good" vs. "spam" and avoid majoritarian bias.

• Application to Filtering:
  Weight the visibility of comments based on reputation scores.

• Dispute Resolution:
  Consider lightweight, reputation-gated review mechanisms for transparent, trust-minimized dispute resolution.