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Hedge Funds × Risk — United States · Last updated 11 Jun 2026 · Hallucination Register
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Finding#1, Multi-DCO haircut tiebreaker: highest-accepted-rate rule omitted

RLB Citation ID: RLB-F-US-CFTC-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-Q007
AI's failure:Misstated Rule Risk for Hedge Funds × Risk:Liability / PI exposure
What the RLB Specialist Panel found

Finding#1, Multi-DCO haircut tiebreaker: highest-accepted-rate rule omitted

Impact for Risk Teams in Hedge Funds Sector in the United States working with the CFTC Digital Asset Collateral No-Action Relief and Tokenized Asset Staff Guidance (Market Participants Division, December 2025)

A Risk teams at Hedge Funds firms setting the collateral eligibility model around the AI-described 20% floor produces systematically light haircuts across the multi-DCO universe. The model output is internally consistent but materially understates required collateral wherever any registered DCO prices the asset above the floor. The firm's actual margin coverage diverges from the regulatory requirement and from what a peer DCO would accept on default.

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Each finding has a stable Citation ID (RLB-F-… for aggregated case-study findings, RLB-H-… for raw per-model hallucinations) — like a DOI, the ID always resolves to the canonical finding even if URLs change.

RLB Citation ID: RLB-F-US-CFTC-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-Q007
Plain text Download 
RegLeg Specialist Panel (2026). "Finding#1, Multi-DCO haircut tiebreaker: highest-accepted-rate rule omitted — Hedge Funds × Risk — United States." Citation ID: RLB-F-US-CFTC-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-Q007. RegLegBrief AI Hallucination Research, published 2026-06-11. https://reglegbrief.com/regulators/j3/us/CFTC/DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025/sectors/hedge_funds/risk/finding/US-CFTC-US-001-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-v1-007/
APA 7th edition Download 
RegLeg Specialist Panel. (2026). Finding#1, Multi-DCO haircut tiebreaker: highest-accepted-rate rule omitted [Hallucination finding RLB-F-US-CFTC-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-Q007]. RegLegBrief AI Hallucination Research. https://reglegbrief.com/regulators/j3/us/CFTC/DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025/sectors/hedge_funds/risk/finding/US-CFTC-US-001-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-v1-007/
Bluebook / OSCOLA (US + UK legal) Download 
RegLeg Specialist Panel, Finding#1, Multi-DCO haircut tiebreaker: highest-accepted-rate rule omitted [RLB-F-US-CFTC-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-Q007], RegLegBrief AI Hallucination Research (June 11, 2026), https://reglegbrief.com/regulators/j3/us/CFTC/DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025/sectors/hedge_funds/risk/finding/US-CFTC-US-001-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-v1-007/.
BibTeX Download 
@misc{reglegbrief_RLB_F_US_CFTC_DIGITAL_ASSET_COLLATERAL_TOKENIZED_ASSETS_STAFF_GUIDANCE_2025_Q007,
  author    = {RegLeg Specialist Panel},
  title     = {Finding#1, Multi-DCO haircut tiebreaker: highest-accepted-rate rule omitted},
  year      = {2026},
  publisher = {RegLegBrief AI Hallucination Research},
  note      = {Hallucination finding Citation ID: RLB-F-US-CFTC-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-Q007},
  url       = {https://reglegbrief.com/regulators/j3/us/CFTC/DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025/sectors/hedge_funds/risk/finding/US-CFTC-US-001-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-v1-007/}
}
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Every finding on this page compares an AI subject's account of the rule against the regulator's verbatim text from the regulator's own portal. Both are linked. Each delta, its root causes, and impact analysis are documented and published with immutable Citation IDs.