A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification | Paper Citation Record

Observation 46460be5-2b2e-4121-a7c4-86b991d8c26b · outbound

This paper cites Dimensional Reduction in Quantum Gravity.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Dimensional Reduction in Quantum Gravity

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification The World as a Hologram

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This paper cites The Large N Limit of Superconformal Field Theories and Supergravity.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification The Large N Limit of Superconformal Field Theories and Supergravity

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This paper cites The dS/CFT Correspondence.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification The dS/CFT Correspondence

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This paper cites Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Les Houches Lectures on De Sitter Space

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification De Sitter Musings

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This paper cites Modave Lecture Notes on de Sitter Space & Holography.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Modave Lecture Notes on de Sitter Space & Holography

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Unresolved cited work

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification An Algebra of Observables for de Sitter Space

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This paper cites Algebras, Regions, and Observers.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Algebras, Regions, and Observers

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Adventures in de Sitter space

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Observation 2964ab5a-dbf6-44ce-a7a3-5b030e9ae189 · outbound

This paper cites Entanglement and Chaos in De Sitter Holography: An SYK Example.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Entanglement and Chaos in De Sitter Holography: An SYK Example

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification The central dogma and cosmological horizons

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This paper cites Entanglement in De Sitter Space.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Entanglement in De Sitter Space

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This paper cites The Holographic Principle for General Backgrounds.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification The Holographic Principle for General Backgrounds

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This paper cites M-theory observables for cosmological space-times.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification M-theory observables for cosmological space-times

Reference 21

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This paper cites Recurrent Nightmares?: Measurement Theory in de Sitter Space.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Recurrent Nightmares?: Measurement Theory in de Sitter Space

Reference 22

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This paper cites Is There Really a de Sitter/CFT Duality.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Is There Really a de Sitter/CFT Duality

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This paper cites Towards a quantum theory of de Sitter space.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Towards a quantum theory of de Sitter space

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This paper cites The Holographic Space-Time Model of Cosmology.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification The Holographic Space-Time Model of Cosmology

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification De Sitter Holography: Fluctuations, Anomalous Symmetry, and Wormholes

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification De Sitter Holography and Entanglement Entropy

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This paper cites Infinite Temperature's Not So Hot.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Infinite Temperature's Not So Hot

Reference 28

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This paper cites The Cosmological Switchback Effect.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification The Cosmological Switchback Effect

Reference 29

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This paper cites Lewkowycz, J.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Lewkowycz, J

Reference 30

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification de Sitter Microstates from $T\bar T+\Lambda_2$ and the Hawking-Page Transition

Reference 31

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Quantum de Sitter horizon entropy from quasicanonical bulk, edge, sphere and topological string partition functions

Reference 32

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Black hole to cosmic horizon microstates in string/M theory: timelike boundaries and internal averaging

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Inflation in AdS/CFT

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Punctuated eternal inflation via AdS/CFT

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification A paucity of bulk entangling surfaces: AdS wormholes with de Sitter interiors

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Infrared Realization of dS$_2$ in AdS$_2$

Reference 37

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification De Sitter Horizons & Holographic Liquids

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Uptunneling to de Sitter

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Constructing AdS_2 flow geometries

Reference 40

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Black hole scrambling from hydrodynamics

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification A quantum hydrodynamical description for scrambling and many-body chaos

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Many-body chaos and energy dynamics in holography

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Replica manifolds, pole skipping, and the butterfly effect

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification The complex life of hydrodynamic modes

Reference 45

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Horizon constraints on holographic Green's functions

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Hydrodynamics and beyond in the strongly coupled N=4 plasma

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification On systems of maximal quantum chaos

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Bound of diffusion constants from pole-skipping points: spontaneous symmetry breaking and magnetic field

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Pole skipping away from maximal chaos

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Effective Field Theory for Chaotic CFTs

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Scrambling in nearly thermalized states at large central charge

Reference 52

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This paper cites Real Time Dynamics in Low Point Correlators in 2d BCFT.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Real Time Dynamics in Low Point Correlators in 2d BCFT

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Reparametrization modes, shadow operators, and quantum chaos in higher-dimensional CFTs

Reference 54

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Chaos and pole skipping in CFT$_2$

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Nonuniqueness of scattering amplitudes at special points

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Nonuniqueness of Green's functions at special points

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Holographic chaos, pole-skipping, and regularity

Reference 58

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Pole-skipping with finite-coupling corrections

Reference 59

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Fermionic pole-skipping in holography

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Scrambling in Hyperbolic Black Holes: shock waves and pole-skipping

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Pole-skipping of scalar and vector fields in hyperbolic space: conformal blocks and holography

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Complexified quasinormal modes and the pole-skipping in a holographic system at finite chemical potential

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Observation c81aabce-f4fa-4fe2-9b7a-c32be5679ad1 · outbound

This paper cites Quantum Chaos in Topologically Massive Gravity.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Quantum Chaos in Topologically Massive Gravity

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Observation ff0943ca-8a4a-4ee1-b5ca-84a0d9719b62 · outbound

This paper cites Classifying pole-skipping points.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Classifying pole-skipping points

Reference 65

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Observation a681d9a2-eb9d-4725-9344-5a9c9d7f30d0 · outbound

This paper cites Pole-skipping and zero temperature.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Pole-skipping and zero temperature

Reference 66

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Observation c0aae80a-df39-4a29-94b6-454eaee050ad · outbound

This paper cites Pole skipping and chaos in anisotropic plasma: a holographic study.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Pole skipping and chaos in anisotropic plasma: a holographic study

Reference 67

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Observation 57e1956e-ec44-4962-895f-8f93fb82fb34 · outbound

This paper cites Pole-skipping and Rarita-Schwinger fields.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Pole-skipping and Rarita-Schwinger fields

Reference 68

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Observation 8b3fe581-ed95-4cf7-84d1-c4b05ef078ce · outbound

This paper cites Chaos and pole-skipping in rotating black holes.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Chaos and pole-skipping in rotating black holes

Reference 69

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Observation e3e64eae-456c-4023-9764-e97d41b54c1c · outbound

This paper cites Butterfly velocity and chaos suppression in de Sitter space.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Butterfly velocity and chaos suppression in de Sitter space

Reference 70

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Observation cfc48ebb-958f-4da7-9780-9a273bdf8671 · outbound

This paper cites Pole-skipping of Holographic Correlators: Aspects of Gauge Symmetry and Generalizations.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Pole-skipping of Holographic Correlators: Aspects of Gauge Symmetry and Generalizations

Reference 71

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Observation eb68fb4a-6771-4045-817c-4a591d5bedc0 · outbound

This paper cites Pole skipping in holographic theories with bosonic fields.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Pole skipping in holographic theories with bosonic fields

Reference 72

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Observation 8a3f745e-6187-4b72-ab7e-dead6dd4e82e · outbound

This paper cites Chaos and pole-skipping in a simply spinning plasma.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Chaos and pole-skipping in a simply spinning plasma

Reference 73

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Observation ffdc1aad-0283-4eaa-a47b-5a8f2d764b12 · outbound

This paper cites Pole-skipping of gravitational waves in the backgrounds of four-dimensional massive black holes.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Pole-skipping of gravitational waves in the backgrounds of four-dimensional massive black holes

Reference 74

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Observation c114cbf9-2097-4fd1-bb6b-5a0f5dff3e5a · outbound

This paper cites Pole-Skipping in Rotating BTZ Black Holes.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Pole-Skipping in Rotating BTZ Black Holes

Reference 75

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Observation 5e3a7a79-b0b4-47ea-b0ea-cb9acefeff87 · outbound

This paper cites Reconstruction of the quasinormal spectrum from pole-skipping.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Reconstruction of the quasinormal spectrum from pole-skipping

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Observation b9ad1acd-d94a-48f1-b6ce-9babc7aca36d · outbound

This paper cites Thermal Diffusivity and Pole-Skipping in the Incoherent Semilocally Critical IR.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Thermal Diffusivity and Pole-Skipping in the Incoherent Semilocally Critical IR

Reference 77

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Observation 7497abaf-ad45-4513-8311-372cb9fcc618 · outbound

This paper cites Pole-skipping as order parameter to probe a quantum critical point.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Pole-skipping as order parameter to probe a quantum critical point

Reference 78

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Observation f9c3a1dd-5653-4d48-a372-ff141243b963 · outbound

This paper cites Pan, Y.-W.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Pan, Y.-W

Reference 79

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Observation 06eb7d0e-9555-46e5-a19b-0d4ddb132588 · outbound

This paper cites On pole-skipping with gauge-invariant variables in holographic axion theories.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification On pole-skipping with gauge-invariant variables in holographic axion theories

Reference 80

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Observation 79b3c2c9-f957-4d38-aea3-5d65c39a47c3 · outbound

This paper cites Duality Constraints on Thermal Spectra of 3d Conformal Field Theories and 4d Quasinormal Modes.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Duality Constraints on Thermal Spectra of 3d Conformal Field Theories and 4d Quasinormal Modes

Reference 81

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Observation 32a81f17-cf24-4f15-bf67-51c0082268c1 · outbound

This paper cites Grozdanov and M.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Grozdanov and M

Reference 82

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Observation 828ba186-f3ea-4764-aad8-7ca4e7b0f318 · outbound

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Unresolved cited work

Reference 83

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Observation 668cecc2-3499-40c1-aa1d-a22f90bbffc2 · outbound

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Unresolved cited work

Reference 84

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Observation 18aab490-d0af-4148-832a-564565896b77 · outbound

This paper cites Comparative study of the butterfly velocity in holographic QCD models at finite temperature and chemical potential.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Comparative study of the butterfly velocity in holographic QCD models at finite temperature and chemical potential

Reference 85

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Observation fc2bcca5-32cc-49e5-95d1-bbbcc8320d3f · outbound

This paper cites Kottler, ¨Uber die physikalischen Grundlagen der Einsteinschen Gravitationstheorie, Annalen Phys.��(1918) 401–462.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Kottler, ¨Uber die physikalischen Grundlagen der Einsteinschen Gravitationstheorie, Annalen Phys.��(1918) 401–462

Reference 86

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Observation 9160f21c-8162-40c4-85d6-a23329ec6144 · outbound

This paper cites Deser and R.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Deser and R

Reference 87

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This paper cites Action, Mass and Entropy of Schwarzschild-de Sitter black holes and the de Sitter/CFT Correspondence.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Action, Mass and Entropy of Schwarzschild-de Sitter black holes and the de Sitter/CFT Correspondence

Reference 88

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Observation fdf59434-d8b9-428d-9eb7-1088ae2c730d · outbound

This paper cites Two dimensional Nearly de Sitter gravity.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Two dimensional Nearly de Sitter gravity

Reference 89

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Observation 70a85719-4b4a-41d4-93a3-af889773b509 · outbound

This paper cites On the Euclidean Action of de Sitter Black Holes and Constrained Instantons.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification On the Euclidean Action of de Sitter Black Holes and Constrained Instantons

Reference 90

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Observation eeb483ec-67e9-401e-897e-b09d3e85e547 · outbound

This paper cites Nakarachinda,Effective thermodynamical system of schwarzschild–de sitter black holes from r´ enyi statistics,Physical Review D��(2021).

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Nakarachinda,Effective thermodynamical system of schwarzschild–de sitter black holes from r´ enyi statistics,Physical Review D��(2021)

Reference 91

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Observation b5498678-a81a-46f8-92a6-09f0622c825c · outbound

This paper cites (Anti-)Evaporation of Schwarzschild-de Sitter Black Holes.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification (Anti-)Evaporation of Schwarzschild-de Sitter Black Holes

Reference 92

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Observation 57883166-c5d4-45e7-9e56-f855a6b9a5af · outbound

This paper cites Temperature and entropy of Schwarzschild-de Sitter space-time.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Temperature and entropy of Schwarzschild-de Sitter space-time

Reference 93

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Observation 003960ab-5f6c-4302-8108-478f3abced9f · outbound

This paper cites Concept of temperature in multi-horizon spacetimes: Analysis of Schwarzschild-De Sitter metric.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Concept of temperature in multi-horizon spacetimes: Analysis of Schwarzschild-De Sitter metric

Reference 94

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Observation b9764b58-647c-4da6-9dfd-26583f534886 · outbound

This paper cites Area products for stationary black hole horizons.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Area products for stationary black hole horizons

Reference 95

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Observation 04a816bc-ac73-4833-93a1-bb91c6b48c98 · outbound

This paper cites Pole-skipping in a non-black-hole geometry.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Pole-skipping in a non-black-hole geometry

Reference 96

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Observation d2012358-2fed-4e9d-85fd-5efb1ed5f6a4 · outbound

This paper cites Brane World Cosmology - Gauge-Invariant Formalism for Perturbation.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Brane World Cosmology - Gauge-Invariant Formalism for Perturbation

Reference 97

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Observation dd83aaa0-ada9-4c08-89eb-7f442553979e · outbound

This paper cites Massive vector field perturbations on extremal and near-extremal static black holes.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Massive vector field perturbations on extremal and near-extremal static black holes

Reference 98

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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Unresolved cited work

Reference 99

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Observation b1bccbae-e20a-49a2-904a-b17ab02cf14b · outbound

This paper cites Weak Quantum Chaos.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Weak Quantum Chaos

Reference 100

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Observation d4638f89-47e9-4631-8cca-a7d407f8088d · outbound

This paper cites A bound on chaos.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification A bound on chaos

Reference 101

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Observation 5120ffaa-ebf8-4de6-bc98-0cab61477b9a · outbound

This paper cites Fast Scramblers.

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification Fast Scramblers

Reference 102

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