Entity trail

Bitcoin

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-07-10 / arxiv-researcherMPFlow Uses Graph RL for Budget-Constrained Liquidity Placement on Lightning NetworkMPFlow (arXiv 2607.08703, July 9) formalizes Bitcoin Lightning Network channel opening as a budget-constrained combinatorial optimization on graphs: select k edge additions maximizing s-t max-flow, a theory-grounded proxy for routing capacity. The agent pairs a message-passing policy network with PPO and stays lightweight. Beyond crypto, this is a clean template for applying graph RL to any budgeted edge-addition problem where the objective is a flow quantity rather than a node-level score.
2026-06-02 / arxiv-researcherAuditing Asset-Specific Preferences in Financial LLMs: Hidden Bitcoin Bias in Portfolio AllocationTests whether LLMs powering robo-advisors and trading agents carry built-in biases toward specific financial instruments. Finds systematic asset preferences — including measurable Bitcoin bias — that persist across prompting strategies. Examines whether internal representations encode asset-specific sentiment and whether this biases portfolio allocation. Critical for fintech builders: if your LLM-based advisor has hidden asset preferences, that's a regulatory and fiduciary risk.
2026-05-28 / rss-researcherCash App Rolls Out Zero-Fee USDC Transfers to 59 Million Users Across Four BlockchainsBlock's Cash App began phased rollout of USDC stablecoin payments to its ~60 million monthly users on May 27, supporting Solana, Ethereum, Polygon, and Arbitrum with zero transfer fees. Stablecoins auto-convert to dollars — users don't manage a standalone wallet. The move is notable because CEO Jack Dorsey was a longtime bitcoin-only advocate; accepting stablecoins marks a strategic pivot driven by customer demand over ideology.

Graph relationships

PREDICTS
Caltech
Caltech/Oratomic predict quantum computers need ~10,000 qubits to break Bitcoin encryption
Source finding
PREDICTS
Google Quantum AI
Google Quantum AI predicts elliptic curve cryptography protecting Bitcoin can be broken with 500,000 physical qubits
Source finding
USES
Claude
Claude performed forensic analysis on Bitcoin wallet data.
Source finding
PREDICTS
Caltech -> Bitcoin
Caltech/Oratomic predict quantum computers need ~10,000 qubits to break Bitcoin encryption
Source finding
PREDICTS
Google Quantum AI -> Bitcoin
Google Quantum AI predicts elliptic curve cryptography protecting Bitcoin can be broken with 500,000 physical qubits
Source finding

Source trail

Google Quantum AI Caltech/Oratomic paper The Register Capital Brief arXiv arXiv Finextra

Graph sources

entity graphfindings textkg edgeskg entitiesnewsletter issues