Bibliographic record
Abstract
Interactive oracle proofs (IOPs) are a hybrid between interactive proofs and PCPs. In an IOP, the prover is allowed to interact with a verifier (like in an interactive proof) by sending relatively long messages to the verifier, who in turn is only allowed to query a few of the bits that were sent (like in a PCP). Efficient IOPs are currently at the core of leading practical implementations of highly efficient proof-systems. In this work we construct, for a large class of NP relations, IOPs in which the communication complexity approaches the witness length. More precisely, for any NP relation for which membership can be decided in polynomial-time with bounded polynomial space (i.e., space n ξ for some sufficiently small constant ξ > 0; e.g., SAT, Hamiltonicity, Clique, Vertex-Cover) and for any constant γ > 0, we construct an IOP with communication complexity (1 + γ) ⋅ n , where n is the original witness length. The number of rounds, as well as the number of queries made by the IOP verifier, are constant. This result improves over prior works on short IOPs/PCPs in two ways. First, the communication complexity in these short IOPs is proportional to the complexity of verifying the NP witness, which can be polynomially larger than the witness size. Second, even ignoring the difference between witness length and non-deterministic verification time, prior works incur (at the very least) a large constant multiplicative overhead to the communication complexity. In particular, as a special case, we also obtain an IOP for CircuitSAT with communication complexity (1 + γ) ⋅ t , for circuits of size t and any constant γ > 0. This improves upon the prior state-of-the-art work of Ben Sasson et al. (ICALP, 2017) who construct an IOP for CircuitSAT with communication length c ⋅ t for a large (unspecified) constant c ≥ 1. Our proof leverages the local testability and (relaxed) local correctability of high-rate tensor codes, as well as their support of a sumcheck-like procedure. In particular, we bypass the barrier imposed by the low rate of multiplication codes (e.g., Reed–Solomon, Reed–Muller, or AG codes)—a key building block of all known short PCP/IOP constructions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.006 | 0.020 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.002 | 0.010 |
| Insufficient payload (model declined to judge) | 0.020 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".