Sign inGet started
Paper · arXiv

CIPHER: Benchmarking Cross-record Inference over Privacy-Hardened Evidence Records

Reasoning over privacy-constrained records requires combining structured attributes with evidence from free-text narratives. We introduce CIPHER (Cross-record Inference over Privacy-Hardened Evidence Records), a benchmark of expert-validated questions from consumer-finance, clinical, and law-enforcement records. The questions cover common tabular operations and include executable SQL supervision. We evaluate retrieval, prompting, table-specialist, and hybrid symbolic-neural systems under native redaction and surrogate-based evidence restoration. All system families exhibit substantial failures even when supporting records are provided. Most errors arise from incorrect record selection and...

AuthorsSuparno Roy Chowdhury, Manan Roy Choudhury, Dhruv Madhwal et al.
Primary categorycs.CR
Published7 September 2026
Last updated at source7 September 2026
cs.CRcs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/8998daf7-1eec-4a18-b657-0fe651aafb42" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.