[Paper Review] Kladia Liquidity Deflator (KLD): A Debt-Indexed Deflationary Token on XRPL

Kiarash Firouzi, Parham Pajouhi|arXiv (Cornell University)|Jan 1, 2026

Credit Risk and Financial Regulations0 citations

TL;DR

KLD is an XRPL-based debt-indexed token with a fixed supply that adjusts issuance, burns, and escrow caps in response to a macro debt index derived from IMF data, governed by multi-signature and oracle mechanisms.

ABSTRACT

Kladia Liquidity Deflator (KLD) is an XRPL-based, debt-indexed token whose supply dynamics respond directly to a debt index derived from macroeconomic data sources. The model links indebtedness to deterministic adjustments in issuance, burns, and escrow release caps, creating a rule-based deflationary mechanism that strengthens as debt rises. With a fixed maximum supply of 10 billion KLD, the mechanism is implemented through XRPL oracles and governance. Escrow locking depends on the TokenEscrow amendment; until it is active network-wide, allocations will be secured in a multi-signature vault with published rules and public monitoring. KLD provides a transparent and mathematically grounded framework for a macro-responsive digital asset.

Motivation & Objective

• Provide a macro-responsive digital asset anchored to a debt index derived from IMF WEO data.
• Define a fixed-supply token with rule-based deflationary mechanics linked to debt levels.
• Implement governance, oracles, and escrow structures to enforce transparent, auditable policy actions.

Proposed method

• Define the debt index X_t as the IMF WEO-based KC7 bloc debt-to-GDP ratio, normalized to a fixed baseline BDI_ref.
• Compute policy factor g_t = x_t / (1 + λ x_t) where x_t = max(0, X_t - 1).
• Make issuance I_t^gross, burn B_t, and escrow release cap E_cap(g_t) functions of g_t to create a deflationary bias as debt rises.
• Set a hard cap S_max = 10,000,000,000 KLD and enforce no post-genesis minting via multisignature controls and audits.
• Outline staking emission adjustments r(g_t) to reduce inflationary pressure as debt increases.
• Describe an oracle-based data ingestion, challenge window, dispute handling, and on-chain policy execution framework.

Experimental results

Research questions

• RQ1 How is the KC7 Bloc Debt Index (BDI) constructed and updated annually from IMF WEO data?
• RQ2 How do debt-driven policy variables (issuance, burn, escrow, staking) respond to the debt index g_t?
• RQ3 What governance and oracle mechanisms ensure transparency, robustness, and no retroactive changes to policy?
• RQ4 What are the structural safeguards against token reissuance and how is asset transparency maintained?

Key findings

• KLD has a fixed maximum supply of 10 billion tokens (S_max) issued at genesis.
• Issuance decreases with debt pressure, while burn rate and escrow caps increase as debt rises, creating net deflationary pressure in high-debt regimes.
• Escrowed tokens are governed by multi-signature controls and will move to dedicated escrows once the TokenEscrow amendment is active.
• Staking emissions are reduced as debt rises to further tighten supply during high-debt periods.
• Oracle inputs from multiple sources are used with median aggregation to determine X_t, with a 72-hour challenge window before execution.
• Transparency is maintained via on-chain policy reports, cryptographic hashes, and published governance and treasury reports.