Clause substitution creates local blind spot in K-SAT
Indistinguishable SAT/UNSAT pairs force wide clauses in Resolution and push proof size toward 2^N.
· “Self-Referential K-SAT and the Finite Analogue of G\"odel's Incompleteness Theorem”
Information Theory
Covers theoretical and experimental aspects of information theory and coding. Includes material in ACM Subject Class E.4 and intersects with H.1.1.
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Indistinguishable SAT/UNSAT pairs force wide clauses in Resolution and push proof size toward 2^N.
· “Self-Referential K-SAT and the Finite Analogue of G\"odel's Incompleteness Theorem”
Under a Markov model of ISL states, scalability rises to an optimum then falls toward zero as satellite count grows.
· “Capacity Scalability of LEO Constellations With Dynamic Link Failures”
Coupling one control qubit to a sensor learns a kth Fourier feature in O(k) shots; Gaussian sensors need exponentially many.
· “Exponential quantum advantage for learning signals with a single qubit”
Multi-snapshot sensing produces a reliability field that turns state distinction into a geometric codebook problem with an optimal finite-
· “Embodied Communication: Sensing-Induced Reliability Fields and Capacity Bounds”
Outer linear codes over four elements yield binary locally repairable codes that meet the Griesmer-like bound and an improved Johnson-like 2
· “Constructions of locally repairable codes via concatenated codes”
The equivalence also fixes the four nonzero weights of the related cyclic codes and determines their differential and boomerang spectra.
· “Walsh Spectrum and Boomerang Properties of Locally-APN Niho Functions”
Hovering base stations and moving delivery drones coordinate to maintain reliable links and lower hardware costs after disasters.
Closed forms fix the two-source case while auxiliary-variable measures avoid contradictions for larger collections.
Splitting the residual graph into biconnected clusters turns peeling into maximum-likelihood decoding for quantum LDPC codes.
· “Cluster Decomposition for Improved Erasure Decoding of Quantum LDPC Codes”
A joint RRH-association, fronthaul, and power-allocation loop beats max-SINR and saves over 20% power in dense networks.
· “Power-Efficient Resource Allocation in Massive MIMO Aided Cloud RANs”
Every eligible pair count now obeys the 2^{k−1} bound, settling a cryptographic conjecture from 2011.
For any nonzero correlation, exact synthesis costs more than approximate synthesis; the exact gap is now known.
· “Exact Common Information and Exact Channel Synthesis for Correlated Gaussian Sources”
Projective-geometry adversary families lift the Ω(Ln) baseline to Ω(L n^{1+1/d}) bits for agreement and broadcast.
· “Multivalued Consensus: General Adversaries Require More Communication”
Any alarm rule with average run length at least b is a threshold crossing of an e-detector; strong rules also bound every adaptive horizon.
Exact limit resolves the global-error direct sum conjecture and corrects set-disjointness scaling.
· “Zero-error information equals amortized communication complexity”
Every quantum channel's ID rate is capped by its entanglement-assisted capacity; low-noise channels meet it.
· “The entanglement-assisted transmission capacity is a strong converse bound for identification”
Phase/CZ circuits and mirrors span the whole code-preserving Clifford group; two-local stacks go full on 78 codes.
· “Beyond transversality: structure of Clifford circuits for CSS codes”
Monotonicity under data processing and additivity on independent products force every such functional to an integral over four strata
The reduction uses only n plus little-o-n oracle bits and equates decompression ratios to Kolmogorov complexity rates.
The quadratic coefficient a must meet a prime-dependent valuation threshold at every p^α exactly dividing N.
· “A Local Valuation Criterion for Quadratic-Permutation Interleaved Zadoff--Chu Sequences”
This violates the conjectured sign pattern under heat flow and overturns Gaussian optimality and entropy power claims.
· “A Counterexample to the Gaussian Completely Monotone Conjecture”
Exact equivalence for bounded real-valued classes closes scale gaps in PAC learning and gives sharp IPM evaluability thresholds
· “Scale-Sensitive Shattering: Learnability and Evaluability at Optimal Scale”
Unattended, it rewrote architecture, loss and features to hit 600x cheaper inference.
· “Agentic Autoresearch for Cell-Edge Power Control: Radically Redefining the Researcher's Role”
Grouping peers by reliability and coding within and across clusters cuts latency 10-23% and raises retention up to 30%.
Reoptimizing at each SNR shrinks the error constant from 4n to 8 for n+2 signals.
A finite spectral readout can identify at most the product of all but one direction's label budgets.
Every nonzero component of the ortho-derivative has algebraic degree exactly n-2.
Four-error radius is exactly 11 for large fields, and every higher order is pinned within a fixed gap.
A leave-one-out sampler needs O(DTC/ε) parallel steps, bypassing the dimension-scaling barrier of standard τ-leaping.
· “Provably adaptive sampling with uniform and remasking discrete diffusion models”
Both inequality branches were numerical checks before; this proof makes them analytic for every dimension.
A sandwich of known bounds closes for DSBS and product nulls, giving exact error exponents at every rate.
· “Exact Rate Exponent Tradeoff for New Classes of Distributed Hypothesis Testing Problems”
Explicit subspace-count formulas yield computable sizes and deterministic sparse-recovery guarantees.
· “Compressed sensing matrices from orthogonal spaces over finite fields of odd characteristic”
Phase stays measurable below -3 dB uncertainty at SNR down to -32 dB, versus 3.5 dB with conventional I/Q demodulation.
Per-user decoder cost stays linear in user count, not exponential, at finite blocklengths.
Plus a model table for channel adaptation and gradient-free fine-tuning that cuts communication 15,000x.
· “Rethinking the Foundations of Two-Sided AI Models for 6G”
Predictive lookahead in threshold detection is redundant exactly when the monitored direction is a left-eigenvector of the dynamics with a…
· “React or Predict? A Spectral Rule for Wireless Threshold Detection”
For any p<1/2, linear encoders achieve exactly the time-sharing rate-distortion tradeoff for Bernoulli(p) sources, confirming Massey's…
· “Entropy of Bernoulli Measures Conditioned on Affine Subspaces and a Problem of Ancheta--Massey”
Under channel switching or drift, the mismatch between the channel model used to order guesses and the real channel can be bounded, giving…
A random F_q-linear code at capacity rate stays decodable under the stricter average-distance test.
A tiny entropy-power gap puts each summand within O(sqrt(delta log(1/delta))) of the uniform law.
New formulas predict joint rate-energy coverage and secrecy from ρ, D, and jammer power.
· “Secure Wireless Information Transfer and Energy Harvesting in HAPS-Based Network”
Rank-one Gaussian sensors attain it; a convex recovery rule stays stable at optimal sampling scale.
· “Optimal Condition Numbers in Low-Rank Positive Semidefinite Matrix Sensing”
A new lower bound forces a positive per-key excess over the static information bound for every fixed error rate.
· “Beyond the Static Barrier for Ordinary Dynamic Approximate Membership”
Per-AP and per-SIM-layer updates replace general-purpose solvers in weighted sum-rate beamforming.
At fixed error, the √n dispersion equals the full optimizer-density variance, settling the known converse gap.
Most earlier quantum LRC constructions need large alphabets; this one works for qubits, qutrits, and beyond.
· “Quantum Locally Repairable Codes from Negacyclic and Repeated-Root Cyclic Codes over Small Fields”
Partial convolution plus frozen-set row combinations lowers the error floor at the same decoding budget.
Hidden layers shrink to a width fixed by input dimension and the error budget, with no fine-tuning.
· “Width-Independent Compressibility of Deep Neural Networks”
Tail-structured sparsity turns each token's allocation into one small index, beating fixed-allocation learned JSCC.
· “Single-Model Adaptive Wireless Image Transmission via Feature Sparsity Regularization”
Expected squared smoothed-likelihood force equals entropy dissipation, giving one exact budget for when measurements act.
· “Posterior Information Dynamics of Diffusion Models for Linear Inverse Problems”
A Target Wake Time scheduler now comes with a constant-factor guarantee on information age under per-station energy budgets.
Short-packet reliability over any Nakagami-m channel becomes one special-function evaluation, not a numerical integral.
Over finite fields the count is a divisor sum; isometry merges more only when m|n.
· “The first tight classification of skew-constacyclic codes over finite fields”
Perfect-channel port selection adds 1.39 dB; the paper's full receiver cuts 62-dB error rate from 7% to 3%.
Each tail bound becomes an identity with a named closed-form slack: Gibbs tilt, overshoot, or certificate deficit.
· “Information on trajectories: martingales and random times”
A single subspace condition separates new bent functions from rearranged Maiorana-McFarland ones.
· “Bent Functions and the Completed Maiorana-McFarland Class”
First level of a representation hierarchy outdoes both the MRRW-era and quantum-channel curves at every distance.
The 1971 fair-sampling rule's mean wait is a product over Rényi entropies; binary extraction runs in near-linear time.
· “Algorithms, Complexity, and Entropy of the Bernard-Letac Fair-Sampling Construction”
Systematic MDS, simplex, and balanced quasi-arc encoders now have closed-form average retrieval times.
A one-label variance-reduction identity ties channel calibration to downstream task risk in multi-UAV control.
A real-domain IA scheme needs CSI only at the IRS and turns sum-rate optimization into eigenvalue checks.
· “Real Interference Alignment for Active IRS-Aided Systems: A Rate-Profile Learning-Based Approach”
A depth-averaged Bayesian prior matches the symbol-discovery rate and beats specialized estimators on large alphabets.
Robustness, adaptability, survivability, recoverability: the hierarchy that ties them to mechanisms and trade-offs.
Sender-side feedback fetches missing evidence; receiver-side feedback trims what is already there.
· “The Verification Gap in Networked Physical AI: A Post-Semantic Communication Framework”
Weak arcs on the fundamental simplex build explicit storage multisets that beat the previous bound over every finite field.
· “Weak arcs and applications to the DNA-based storage access problem”
Four ways of reading a quantum circuit converge on fabricated devices whose measured modes match curved-space graphs.
Hybrid design claims higher sum throughput and sensing accuracy with half the fronthaul connections.
· “Integrated Sensing and Communications over Hierarchical Cellular and Cell-Free MIMO Systems”
A randomized Pauli-basis protocol nearly closes the gap between O(4^N) and Omega(sqrt(8)^N) copies.
Stochastic geometry counts the nodes, then clustering and min-cut place them and form cells for indoor users.
Intra-layer coupling lets a two-layer metasurface match a six-layer one for joint sensing and communication.
A genetic search over cyclotomic cosets yields [169,18,87]_3 and [175,18,90]_3.
· “Constructing Good Abelian Codes via Shift Bounds and Genetic Algorithms”
Sending a variable path list adapts to each channel and transfers to new arrays without retraining.
· “GCNO: Gramian Chebyshev Neural Operator for Physics-Based Compression of Wireless Channels”
Below twice the minimum distance, weight counting is orbit counting.
A constraints-separation solver keeps sensing beam gain on par with SCA and SDR while cutting runtime.
· “Joint Beamforming and Phase Shifts Design for RIS-Enabled RSMA-ISAC Systems”
A new CUSUM variant tunes its 1-bit threshold on the fly and reaches the information-theoretic delay limit.
· “Quickest Change Detection in Parametric Models With 1-Bit Measurements”
Two new estimator designs, one per order range, close the Rényi and Tsallis sample-complexity gaps.
· “Nearly Sample-Optimal Estimators for Quantum R\'enyi and Tsallis Entropies”
Method-of-types proof yields closed-form exponents via tilted distributions, with a password-security estimate.
· “Tail exponents of conditional guesswork via the method of types”
Directly estimating the Rényi-derivative gives a consistent Bayesian error-exponent estimator from raw samples.
For odd fields q, it computes all weights and separates the new codes from prior families by a geometric invariant.
· “Near-MDS codes of lengths q+6 and q+7 from conics in PG(2,q), q odd”
A 2.6 KB statistical fingerprint finds the right pretrained model, saving 300–1000 samples and 100 epochs.
· “Learnware for CSI Feedback: Scene-specific Small Models Can Do Big”