Hyper Separation Logic extends separation logic and Hyper Hoare Logic with a hyper separating conjunction to support arbitrary quantifier alternation for hyperproperties over heap programs, with a soundness proof in Isabelle/HOL.
super hub Canonical reference
2023.Parallel Programming for Multicore and Cluster Systems(3 ed.)
Canonical reference. 83% of citing Pith papers cite this work as background.
hub tools
citation-role summary
citation-polarity summary
authors
co-cited works
representative citing papers
2G2T enables constant-size, statistically sound outsourcing of MSM with verification up to 300x faster than local computation and error probability at most 1/q.
A survey of 172 open educational datasets from 204 papers across LAK, EDM, and AIED conferences reveals trends, 143 previously uncatalogued datasets, field gaps, and an 8-item PRACTICE checklist for better data publication.
A dependent linear type theory is constructed by embedding linear logic into dependent type theory, yielding multiplicities that depend on variables, supporting W-types, with semantics in indexed Categories with Families and an Agda implementation.
HDL defines dynamic theories with lifting and combination operations, proves soundness and relative completeness in Isabelle, and demonstrates the approach on a Java controller steering a differential dynamic logic plant model.
An O(n^5) exact algorithm for broadcast domination obtained by reducing the path-case to O(n^3) via a single DAG on oriented broadcast balls.
Polyconvexity implies true-stress-true-strain monotonicity in incompressible isotropic hyperelasticity, which is enforced in four PANN architectures that show varying extrapolation behavior on experimental data.
Event-B Agent is an LLM agent that synthesizes, refines, and repairs Event-B formal models from natural language requirements via iterative verification feedback loops.
CDCL SAT solvers compute small proofdoors on linearly scaling BMC families but large non-absorbed ones on exponential families, as shown by empirical measurements on a 76k+ instance benchmark where prior parameters fail to discriminate regimes.
Proves that ℓ_p norm minimization yields p-independent Hausdorff convergence rate O(k^{2/(1-q)}) in convex vector optimization via Euclidean intermediary and norm equivalence.
A compositional algebraic decision diagram algorithm quantifies sensitivity in decision tree ensembles with certified error and confidence bounds, outperforming model counters on benchmarks.
PAFP is FPT by BFS-width plus backward arcs in the union digraph and polynomial-time solvable via 2-SAT for DAGs of exact-length width 2, with matching NP-hardness for width 3.
FLiD is a field-localized forgery detection method for identity documents that outperforms full-document baselines and general detectors with significantly fewer parameters.
LLM2Ltac mines symbolic tactics from 11,725 Coq theorems using LLMs and integrates them into CoqHammer, improving proof rates by 23.87% on 6,199 theorems from four large verification projects.
A source-level interaction concept for interactive program verification, prototyped in KeY, improves user understanding of proof states and defect detection according to a user study.
SCHORTY uses a tilted sensor in a single camera to map pixel position to range via the Scheimpflug principle, demonstrated experimentally with event cameras for passive UAV ranging up to 1.1 km.
Text-guided class-agnostic counting models exhibit significant weaknesses in grounding textual prompts to visual objects, as demonstrated by new negative-label and distractor tests on a multi-category dataset.
BadmintonGRF is a new public multimodal dataset and benchmark that pairs multi-view video with instrumented GRF for markerless load estimation in badminton.
RESTestBench shows that LLM-generated REST API test effectiveness drops when interacting with faulty or mutated code, especially for vague requirements, indicating that high-detail requirements make direct SUT interaction unnecessary.
Hybrid Path-Sums offer a new symbolic framework with rewriting rules and assertions to represent, simplify, and verify properties of hybrid quantum-classical programs.
Agentic Witnessing enables privacy-preserving auditing of semantic properties in private data by running an LLM auditor in a TEE that answers binary queries and produces cryptographic transcripts of its reasoning.
Point&Grasp probabilistically integrates pointing and grasp gestures for out-of-reach object selection in MR, trained on a new ORG dataset, and outperforms single-cue baselines in user studies.
The exact inner vertex-isoperimetric profile I_d(k) on the d-regular tree is determined, with sets optimal precisely when their boundary branching excess satisfies τ(D) ≤ d-2, and all minimizers admit a canonical decomposition into iterated gluings of full domains.
Covariance matrix of network meta-analysis treatment effects is the sum of a geometric series of diffusion matrices without inversion.
citing papers explorer
-
Agentic Witnessing: Pragmatic and Scalable TEE-Enabled Privacy-Preserving Auditing
Agentic Witnessing enables privacy-preserving auditing of semantic properties in private data by running an LLM auditor in a TEE that answers binary queries and produces cryptographic transcripts of its reasoning.
-
Entanglement in the open XX chain: R\'enyi oscillations, hard-edge crossover, and symmetry resolution
Closed-form asymptotics for Rényi entropies in the open XX chain give 2k_F oscillations, s^{±1/α} envelopes, and -½ log log ℓ equipartition offset.
-
Big AI's Regulatory Capture: Mapping Industry Interference and Government Complicity
Big AI captures regulation through 27 mechanisms in five categories, most commonly via discourse influence and law elusion, often justified by narratives that regulation stifles innovation or serves national interest.