How Task Structure Limits Multi-Agent Success: An Information-Theoretic Analysis
2026-06-15T08:51:40Z•5b739e2712436b461c718a063d2f5b8accb9d539cdf093d5ba70516a21ce7da8
DNA-data-storageISACburst-deletion-codesbus-encodingcoding-theoryenergy-efficiencyerror-correcting-codesinformation-theorymassive-MIMOmulti-agent-systemsnoncoherent-communicationpeer-predictionpolynomial-measuressignal-processingstochastic-approximationsum-rank-codestensor-ranktwo-time-scale
What happened
Collection of recent arXiv submissions (2026-06-15) in information theory, coding, communications, and learning-theory. Included papers: an information-theoretic bound on multi-agent system success tied to task-constraint graph connectivity; algebraic limits on polynomial dependence measures with implications for peer-prediction mechanisms; practical low-weight/bus-encoding schemes for reducing bit-flips and energy; block-tensor-rank for sum-rank metric codes and new bounds/constructions; noncoherent ISAC (integrated sensing and communication) performance and beamforming trade-offs over block‑
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_math_it
- Record identifier
- 5b739e2712436b461c718a063d2f5b8accb9d539cdf093d5ba70516a21ce7da8
- Enrichment time
- 2026-06-15T08:51:40Z
- AI-assisted enrichment
- Yes
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