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Investment Banking × Finance — 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 Investment Banking × Finance:Liability / PI exposure
What the RLB Specialist Panel found

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

Impact for Finance Teams in Investment Banking 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 Finance teams at Investment Banking firms that prices the digital asset collateral programme against AI's 20% floor underestimates required customer haircuts in the multi-DCO scenario. The firm's margin economics, capital usage projections, and pricing of the FCM service are all built on a haircut input that the staff letter would push higher. Realised collateral is then light relative to the regulatory standard the Finance team thought it was modelling.

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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 — Investment Banking × Finance — 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/investment_banking/finance/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/investment_banking/finance/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/investment_banking/finance/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/investment_banking/finance/finding/US-CFTC-US-001-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-v1-007/}
}
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