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Corporate Banking × Risk — International / Multilateral · updated 2026-06-05
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Finding#2 — Repeated fabrication of three-part creditor coverage rule

RLB Citation ID: RLB-F-INT-IMF-IMF-GUIDANCE-FINANCING-ASSURANCES-SOVEREIGN-ARREARS-2024-Q006
AI's failure:Exposed Fabrication Risk for Corporate Banking × Risk:Wrong deliverable
What the RLB Specialist Panel found
Question (paraphrased to protect IP)

A G20 roundtable presenter asked how the 2024 reforms work for pre-emptive debt restructuring — specifically what creditor coverage the country needs to secure and what happens when bilateral creditors refuse to commit. The AI stated the 'sufficient set' must represent more than 50 percent of total bilateral financing contributions, plus any standing creditor forum and any creditor with significant influence. The source specifies no such numerical threshold for 'sufficient set' in pre-emptive cases; the AI applied the majority-of-financing-contributions test from the Strand 1 adequately-representative-Paris-Club-agreement context, where it does appear.

RLB's analysis

This is the same cross-provision threshold conflation documented in Finding 3, reproduced under a different query framing and a different stated user context. The identical fabricated majority threshold appearing in both responses — despite the queries being framed independently and for different audiences — indicates this is a stable encoding in the model rather than a retrieval artifact. The model has a consistent wrong representation of what "sufficient set" requires in pre-emptive cases, derived from the Strand 1 provision where the majority test does exist.

AI Head's analysis — what weakness in the AI model caused this

The persistence of the identical fabricated threshold across two independent queries with different professional framings — Finance Ministry briefing and G20 roundtable presentation — indicates this is a weighted model encoding, not a query-dependent retrieval artifact. For the lab's eval design, this distinction matters: retrieval failures are addressable through tool-stack improvements, while weighted encodings require training-data intervention. This finding is a diagnostic signal that the majority-threshold conflation will persist across model deployments regardless of retrieval-stack updates unless the underlying training-data representation is corrected.

Impact for Risk Teams in Corporate Banking Sector in international jurisdictions working with the IMF-GUIDANCE-FINANCING-ASSURANCES-SOVEREIGN-ARREARS-2024

A G20 roundtable presentation or internal policy document built on this AI answer would circulate a three-part quantitative definition of 'sufficient set' creditor coverage that has no basis in the 2024 IMF guidance for pre-emptive cases. For a Risk function at a Corporate Banking firm, the damage is compounded by the answer's apparent precision: a numbered list with a clean percentage threshold is exactly the form that junior analysts will not question and credit committees will treat as settled policy.

Correcting the record after the threshold has travelled into model parameters, provisioning frameworks, or client-facing advisory work requires a document-level audit of every deliverable that relied on the fabricated rule.

References — raw findings (per AI model)
This finding also affects
← Previous finding Finding#1 — Fabricated >50% threshold for pre-emptive 'sufficient set'
Cite this finding

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-INT-IMF-IMF-GUIDANCE-FINANCING-ASSURANCES-SOVEREIGN-ARREARS-2024-Q006
Plain text Download
RegLeg Specialist Panel (2026). "Finding#2 — Repeated fabrication of three-part creditor coverage rule — Corporate Banking × Risk — International / Multilateral." Citation ID: RLB-F-INT-IMF-IMF-GUIDANCE-FINANCING-ASSURANCES-SOVEREIGN-ARREARS-2024-Q006. RegLegBrief AI Hallucination Research, published 2026-06-05. https://reglegbrief.com/regulators/j1/int/imf-elib/imf-guidance-financing-assurances-sovereign-arrears-2024/sectors/corporate_banking/risk/finding/INT-IMF-ELIB-INT-001-IMF-GUIDANCE-FINANCING-ASSURANCES-SOVEREIGN-ARREARS-2024-v1-006/
APA 7th edition Download
RegLeg Specialist Panel. (2026). Finding#2 — Repeated fabrication of three-part creditor coverage rule [Hallucination finding RLB-F-INT-IMF-IMF-GUIDANCE-FINANCING-ASSURANCES-SOVEREIGN-ARREARS-2024-Q006]. RegLegBrief AI Hallucination Research. https://reglegbrief.com/regulators/j1/int/imf-elib/imf-guidance-financing-assurances-sovereign-arrears-2024/sectors/corporate_banking/risk/finding/INT-IMF-ELIB-INT-001-IMF-GUIDANCE-FINANCING-ASSURANCES-SOVEREIGN-ARREARS-2024-v1-006/
Bluebook / OSCOLA (US + UK legal) Download
RegLeg Specialist Panel, Finding#2 — Repeated fabrication of three-part creditor coverage rule [RLB-F-INT-IMF-IMF-GUIDANCE-FINANCING-ASSURANCES-SOVEREIGN-ARREARS-2024-Q006], RegLegBrief AI Hallucination Research (June 05, 2026), https://reglegbrief.com/regulators/j1/int/imf-elib/imf-guidance-financing-assurances-sovereign-arrears-2024/sectors/corporate_banking/risk/finding/INT-IMF-ELIB-INT-001-IMF-GUIDANCE-FINANCING-ASSURANCES-SOVEREIGN-ARREARS-2024-v1-006/.
BibTeX Download
@misc{reglegbrief_RLB_F_INT_IMF_IMF_GUIDANCE_FINANCING_ASSURANCES_SOVEREIGN_ARREARS_2024_Q006,
  author    = {RegLeg Specialist Panel},
  title     = {Finding#2 — Repeated fabrication of three-part creditor coverage rule},
  year      = {2026},
  publisher = {RegLegBrief AI Hallucination Research},
  note      = {Hallucination finding Citation ID: RLB-F-INT-IMF-IMF-GUIDANCE-FINANCING-ASSURANCES-SOVEREIGN-ARREARS-2024-Q006},
  url       = {https://reglegbrief.com/regulators/j1/int/imf-elib/imf-guidance-financing-assurances-sovereign-arrears-2024/sectors/corporate_banking/risk/finding/INT-IMF-ELIB-INT-001-IMF-GUIDANCE-FINANCING-ASSURANCES-SOVEREIGN-ARREARS-2024-v1-006/}
}
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