pith. sign in

Title resolution pending

4 Pith papers cite this work. Polarity classification is still indexing.

4 Pith papers citing it

citation-role summary

background 1

citation-polarity summary

verdicts

UNVERDICTED 4

roles

background 1

polarities

background 1

representative citing papers

Finite-Time Thermodynamics of an Autonomous Information Machine

quant-ph · 2026-04-17 · unverdicted · novelty 6.0

An autonomous information machine operating in finite time exhibits a regime where erasure power P and efficiency η increase simultaneously, governed by the trade-off v(1-η)P/η ≤ D with D an information-geometric distance.

Contextuality in anomalous heat flow

quant-ph · 2024-06-14 · unverdicted · novelty 6.0

Anomalous heat flow occurs in quantum prepare-transform-measure protocols only when noncontextuality inequalities are violated, for evolution times in (0, τ_c), with analysis of an existing experiment and extension to qutrits.

Quantifying information flow along a stochastic trajectory

cond-mat.stat-mech · 2026-05-13 · unverdicted · novelty 5.0

A scalable deep-learning estimator for trajectory-level stochastic information flow is proposed and tested on solvable models, oscillators, and motile cell trajectories.

citing papers explorer

Showing 4 of 4 citing papers.

  • Finite-Time Thermodynamics of an Autonomous Information Machine quant-ph · 2026-04-17 · unverdicted · none · ref 3

    An autonomous information machine operating in finite time exhibits a regime where erasure power P and efficiency η increase simultaneously, governed by the trade-off v(1-η)P/η ≤ D with D an information-geometric distance.

  • Contextuality in anomalous heat flow quant-ph · 2024-06-14 · unverdicted · none · ref 25

    Anomalous heat flow occurs in quantum prepare-transform-measure protocols only when noncontextuality inequalities are violated, for evolution times in (0, τ_c), with analysis of an existing experiment and extension to qutrits.

  • Quantifying information flow along a stochastic trajectory cond-mat.stat-mech · 2026-05-13 · unverdicted · none · ref 21

    A scalable deep-learning estimator for trajectory-level stochastic information flow is proposed and tested on solvable models, oscillators, and motile cell trajectories.

  • Demon with dementia - the deterioration of information transcription cond-mat.stat-mech · 2025-11-19 · unverdicted · none · ref 28

    Abstracts DNA transcription as an autonomous Maxwell demon on two bitstreams and analyzes steady-state work extraction, transcription fidelity, and mutual information under constant and time-varying rates.