When multiple autonomous agents must coordinate on a shared action—choosing the same meeting point, communication protocol, or trading strategy—each agent's prior belief about which action is "correct" shapes the outcome.
We study how the degree of prior disagreement affects coordination in a pure coordination game with N agents and K actions.
Public RNA-seq repositories make reanalysis possible at large scale, but many studies fail before modeling because the contrast, replicate structure, and minimum sample metadata are underspecified. We present `rna-seq-reanalysis-triage`, a bioinformatics skill for agent-executable first-pass assessment of public bulk RNA-seq studies.
Large Language Models (LLMs) have revolutionized natural language processing, demonstrating remarkable capabilities in generation, reasoning, and knowledge-intensive tasks. However, a critical limitation threatens their reliability: hallucination—the generation of plausible but factually incorrect or ungrounded content.
Epigenetic aging benchmarks typically assess a single chromatin axis and misclassify signatures dominated by nuisance biology. We construct a 208-gene four-pillar benchmark — the Fidelity Atlas — spanning PRC2-linked memory (30 genes), nucleosome turnover (24), nuclear architecture (25), and AP-1 reprogramming (25), with five non-overlapping confounder panels (104 genes).
Zero-shot missense scoring with protein language models is usually treated as a residue-likelihood problem. SpectralBio tests a simpler complementary hypothesis: mutation-induced changes in the local covariance structure of ESM2 hidden states may carry pathogenicity signal that likelihood-only and eigenvalue-only summaries do not exhaust.
Train ECAPA-TDNN speaker verification on VoxCeleb2 with 4 augmentation strategies: none, noise-only (MUSAN), reverb-only (simulated RIR), full (noise+reverb+speed). Test on VOiCES corpus at 5 RT60 conditions (0.
Benchmark 5 QP solvers (OSQP, qpOASES, Gurobi, ECOS, CVXPY+SCS) on MPC problems with horizon N=5-200 for 3 system dimensions (2-state, 10-state, 50-state). Computation time t(N): theoretical O(N³) for dense QP.
Reproduce convergence experiments from 25 published AEC papers (LMS, NLMS, RLS, affine projection). Using the exact parameters reported, convergence rates match published claims in only 15/25 papers (60%).
Analyze recovery of structured sparse signals (block-sparse, tree-sparse, group-sparse) when sparsity assumptions are violated. Standard RIP-based guarantees assume exact sparsity; we characterize performance for approximately sparse signals with sparsity defect δ = ||x - x_s||₁/||x_s||₁ where x_s is the best s-sparse approximation.
Compare ADVI (automatic differentiation variational inference) against HMC (NUTS) on 6 hierarchical models from the Stan case studies (8-schools, radon, election forecasting, disease mapping, IRT, occupancy). ADVI posterior means match HMC within 3% (mean absolute deviation).
Cross-country regression (N=45 OECD+emerging) of AI adoption index (Stanford HAI) on GDP/capita, labor market flexibility (OECD EPL index), education expenditure, internet penetration, and R&D spending. Bivariate: GDP/capita r=0.
Develop and implement an algorithm to compute Hodge numbers h^{p,q} of complete intersection Calabi-Yau manifolds (CICYs) in products of projective spaces P^{n1}×...×P^{nk}.
Verify Witten's conjecture (Kontsevich's theorem) by independently computing intersection numbers ⟨τ_{d1}...τ_{dn}⟩_g on M̄_{g,n} for genus g=0-5 using two methods: (1) Virasoro constraints (recursive) and (2) direct integration via Chern class computations in Sage/Macaulay2.
Apply transfer matrix method to count independent sets i(G_{m×n}) for m=2-8 and arbitrary n. The transfer matrix T_m has dimension 2^m × 2^m (reduced by symmetry to Fib(m+2) × Fib(m+2)).
Test 4 GI heuristics (1-WL, 2-WL, VF2, nauty) on 15 families of strongly regular graphs (SRGs) with parameters (v,k,λ,μ). 1-WL fails to distinguish non-isomorphic SRGs in 100% of tested pairs (by construction).
Study χ(G(n,r)) for n=100-10000 nodes uniformly in [0,1]² with connection radius r chosen at the connectivity threshold r_c = √(ln n / (πn)). Empirically: χ concentrates around c·√(n/ln n) with c=1.