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SNARGs Beyond Non-Signaling

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Constructs a SNARG for a subclass called monotone policy batch NP under the LWE assumption, yielding the first standard-assumption SNARG for a class not known to admit small-locality non-signaling PCPs. Technique replaces somewhere-extractable hashing with a new predicate-extractable hash (PEH) that lets the CRS extract a global predicate of the (hashed) tableau, producing an augmented quasi-argument that avoids the 2^depth error blow-up and yields succinct proofs for threshold-style policies; PEH is stated as a reusable primitive.

AI-written summary · about

  1. 0:00Introduction to snarks
  2. 1:52The classic blueprint
  3. 6:26Challenges in scaling
  4. 11:58Limitations of current methods
  5. 17:23Monotone batch NP
  6. 24:20A new framework proposal
  7. 30:14Predicate extraction
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