Paper Citation Record · LEDGER

Efficient training of photonic quantum generative models

As of 20 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 5 inbound Pith citation observations for arXiv:2603.08793.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2603.08793 v2

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Outbound references

Observation 94c9101d-9058-4034-82be-6664a5bea706 · outbound

This paper cites + + + + + (1↔2) + (1↔3) # +O(λ 4) (B8) while ibC3(p1,p 2;p 3) = + + + + +.

Efficient training of photonic quantum generative models + + + + + (1↔2) + (1↔3) # +O(λ 4) (B8) while ibC3(p1,p 2;p 3) = + + + + +

Reference 1

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This paper cites Baume, B.

Efficient training of photonic quantum generative models Baume, B

Reference 2

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This paper cites Probing P and CP Violations on the Cosmological Collider.

Efficient training of photonic quantum generative models Probing P and CP Violations on the Cosmological Collider

Reference 3

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This paper cites Parity violation in the scalar trispectrum: no-go theorems and yes-go examples.

Efficient training of photonic quantum generative models Parity violation in the scalar trispectrum: no-go theorems and yes-go examples

Reference 4

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This paper cites Goodhew, A.

Efficient training of photonic quantum generative models Goodhew, A

Reference 5

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This paper cites No-go Theorem for Cosmological Parity Violation.

Efficient training of photonic quantum generative models No-go Theorem for Cosmological Parity Violation

Reference 6

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This paper cites Leading Loops in Cosmological Correlators.

Efficient training of photonic quantum generative models Leading Loops in Cosmological Correlators

Reference 7

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This paper cites Unitary and Analytic Renormalisation of Cosmological Correlators.

Efficient training of photonic quantum generative models Unitary and Analytic Renormalisation of Cosmological Correlators

Reference 8

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This paper cites Quantum Gravity Slows Inflation.

Efficient training of photonic quantum generative models Quantum Gravity Slows Inflation

Reference 9

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Efficient training of photonic quantum generative models Weinberg, Phys

Reference 10

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This paper cites The IR stability of de Sitter: Loop corrections to scalar propagators.

Efficient training of photonic quantum generative models The IR stability of de Sitter: Loop corrections to scalar propagators

Reference 11

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This paper cites Infrared Sensitivity of Unstable Vacua.

Efficient training of photonic quantum generative models Infrared Sensitivity of Unstable Vacua

Reference 12

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This paper cites Lifetime of a massive particle in a de Sitter universe.

Efficient training of photonic quantum generative models Lifetime of a massive particle in a de Sitter universe

Reference 13

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This paper cites On Loops in Inflation.

Efficient training of photonic quantum generative models On Loops in Inflation

Reference 14

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This paper cites The IR stability of de Sitter QFT: results at all orders.

Efficient training of photonic quantum generative models The IR stability of de Sitter QFT: results at all orders

Reference 15

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Efficient training of photonic quantum generative models On the Decay of Massive Fields in de Sitter

Reference 16

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This paper cites On Loops in Inflation III: Time Independence of zeta in Single Clock Inflation.

Efficient training of photonic quantum generative models On Loops in Inflation III: Time Independence of zeta in Single Clock Inflation

Reference 17

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This paper cites Dynamical RG and Critical Phenomena in de Sitter Space.

Efficient training of photonic quantum generative models Dynamical RG and Critical Phenomena in de Sitter Space

Reference 18

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This paper cites Soft de Sitter Effective Theory.

Efficient training of photonic quantum generative models Soft de Sitter Effective Theory

Reference 19

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This paper cites Cosmological Correlators at Finite Coupling.

Efficient training of photonic quantum generative models Cosmological Correlators at Finite Coupling

Reference 20

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This paper cites Analytical evaluation of cosmological correlation functions.

Efficient training of photonic quantum generative models Analytical evaluation of cosmological correlation functions

Reference 21

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This paper cites Analytic Results for Loop-Level Momentum Space Witten Diagrams.

Efficient training of photonic quantum generative models Analytic Results for Loop-Level Momentum Space Witten Diagrams

Reference 22

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Efficient training of photonic quantum generative models Soft Metric Fluctuations During Inflation

Reference 23

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Efficient training of photonic quantum generative models A note on loop resummation in de Sitter spacetime with the wavefunction of the universe approach

Reference 24

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Efficient training of photonic quantum generative models Regularizing infrared divergences in de Sitter spacetime: Loops, dimensional regularization, and cutoffs

Reference 25

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Efficient training of photonic quantum generative models Confronting infrared divergences in de Sitter: loops, logarithms and the stochastic formalism

Reference 26

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Efficient training of photonic quantum generative models On one-loop corrections to the Bunch-Davies wavefunction of the universe

Reference 27

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Efficient training of photonic quantum generative models Braglia and L

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Efficient training of photonic quantum generative models Resummation of Cosmological Correlators and their UV-Regularization

Reference 29

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Efficient training of photonic quantum generative models Bispectrum at 1-loop in the Effective Field Theory of Inflation

Reference 30

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Efficient training of photonic quantum generative models Singularities in Cosmological Loop Correlators

Reference 31

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Efficient training of photonic quantum generative models The Subtle Simplicity of Cosmological Correlators

Reference 32

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Efficient training of photonic quantum generative models Loops, Recursions, and Soft Limits for Fermionic Correlators in (A)dS

Reference 33

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Efficient training of photonic quantum generative models Regulating loops in de Sitter spacetime

Reference 34

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Efficient training of photonic quantum generative models Cosmological Cutting Rules

Reference 35

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Efficient training of photonic quantum generative models On the IR Divergences in de Sitter Space: loops, resummation and the semi-classical wavefunction

Reference 36

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Efficient training of photonic quantum generative models Inflation Correlators at the One-Loop Order: Nonanalyticity, Factorization, Cutting Rule, and OPE

Reference 37

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Efficient training of photonic quantum generative models Nonanalyticity and On-Shell Factorization of Inflation Correlators at All Loop Orders

Reference 38

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Efficient training of photonic quantum generative models Cosmological Correlators at the Loop Level

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Efficient training of photonic quantum generative models Dispersive Bootstrap of Massive Inflation Correlators

Reference 40

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Efficient training of photonic quantum generative models Kinematic Flow for Cosmological Loop Integrands

Reference 41

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Efficient training of photonic quantum generative models Ansari, S

Reference 42

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Efficient training of photonic quantum generative models On Cosmological Correlators at One Loop

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Efficient training of photonic quantum generative models Gr¨ afe and I

Reference 44

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Efficient training of photonic quantum generative models Chowdhury, S

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Efficient training of photonic quantum generative models Loop Corrections to Standard Model Fields in Inflation

Reference 46

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Efficient training of photonic quantum generative models Precision Calculation of Inflation Correlators at One Loop

Reference 47

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Efficient training of photonic quantum generative models Bootstrapping One-Loop Inflation Correlators with the Spectral Decomposition

Reference 48

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Efficient training of photonic quantum generative models Bodas, E

Reference 49

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Efficient training of photonic quantum generative models Note on the bispectrum and one-loop corrections in single-field inflation with primordial black hole formation

Reference 50

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Efficient training of photonic quantum generative models Primordial Black Holes and Loops in Single-Field Inflation

Reference 51

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Efficient training of photonic quantum generative models Cosmological Correlators in massless ${\phi}^4$-theory and the Method of Regions

Reference 52

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Efficient training of photonic quantum generative models Absence of one-loop effects on large scales from small scales in non-slow-roll dynamics

Reference 53

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Efficient training of photonic quantum generative models Quantum loop effects on the power spectrum and constraints on primordial black holes

Reference 54

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Efficient training of photonic quantum generative models One-loop Corrections in Power Spectrum in Single Field Inflation

Reference 55

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Efficient training of photonic quantum generative models One-loop corrections to the E-type $\alpha$-attractor models of inflation and primordial black hole production

Reference 56

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Efficient training of photonic quantum generative models Conservation of superhorizon curvature perturbations at one loop: Backreaction in the in-in formalism and Renormalization

Reference 57

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Efficient training of photonic quantum generative models Incorporating Backreaction in One-Loop Corrections in Ultra-Slow-Roll Inflation

Reference 58

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Efficient training of photonic quantum generative models Role of the counterterms in the conservation of superhorizon curvature perturbations at one loop

Reference 59

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Efficient training of photonic quantum generative models Braglia and L

Reference 60

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Efficient training of photonic quantum generative models Unresolved cited work

Reference 61

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Efficient training of photonic quantum generative models Interact or Twist: Cosmological Correlators from Field Redefinitions Revisited

Reference 62

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Efficient training of photonic quantum generative models Non-Gaussianity from $X, Y$ gauge bosons in Cosmological Collider Physics

Reference 63

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Efficient training of photonic quantum generative models Parity-Odd and Even Trispectrum from Axion Inflation

Reference 64

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Efficient training of photonic quantum generative models Parity-violating scalar trispectrum from a rolling axion during inflation

Reference 65

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Efficient training of photonic quantum generative models Full Parity-Violating Trispectrum in Axion Inflation: Reduction to Low-D Integrals

Reference 66

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Efficient training of photonic quantum generative models Garcia-Saenz, Y

Reference 67

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Efficient training of photonic quantum generative models Caron-Huot and M

Reference 68

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Observation 71c5c43e-1dea-4f8d-82e0-a1e5fa542819 · outbound

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Efficient training of photonic quantum generative models Chavda, D

Reference 69

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Observation 869e2748-82f3-42e5-b555-ecec34577144 · outbound

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Efficient training of photonic quantum generative models Chavda, D

Reference 70

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Efficient training of photonic quantum generative models Unresolved cited work

Reference 71

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Efficient training of photonic quantum generative models Late-time Structure of the Bunch-Davies De Sitter Wavefunction

Reference 72

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Efficient training of photonic quantum generative models From AdS to dS Exchanges: Spectral Representation, Mellin Amplitudes and Crossing

Reference 73

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Efficient training of photonic quantum generative models Operator Dictionaries and Wave Functions in AdS/CFT and dS/CFT

Reference 74

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Efficient training of photonic quantum generative models Renormalisation of IR divergences and holography in de Sitter

Reference 75

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Efficient training of photonic quantum generative models Holography for Cosmology

Reference 76

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Efficient training of photonic quantum generative models Wick rotation and the positivity of energy in quantum field theory

Reference 77

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Efficient training of photonic quantum generative models A Note On Complex Spacetime Metrics

Reference 78

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Efficient training of photonic quantum generative models There and Back Again: Mapping and Factorising Cosmological Observables

Reference 79

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Efficient training of photonic quantum generative models The Analytic Wavefunction

Reference 80

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Efficient training of photonic quantum generative models The Cosmological Tree Theorem

Reference 81

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Efficient training of photonic quantum generative models The Cosmological Optical Theorem

Reference 82

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Efficient training of photonic quantum generative models Cutting Cosmological Correlators

Reference 83

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Pith citing papers

Observation 96283b30-fa64-4911-83df-ea5a25f9ada8 · inbound

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Qudit extension of parameterized IQP circuits: A generative quantum machine learning approach to integer data Efficient training of photonic quantum generative models

Reference 77

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Quantum Fourier Generative Models Trainable at Large Scale Efficient training of photonic quantum generative models

Reference 40

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Observation a105888e-ad0d-4b45-ad1f-9ca4193bfe17 · inbound

Spectral Born machines: classically trainable quantum generative models for discrete data cites this paper.

Spectral Born machines: classically trainable quantum generative models for discrete data Efficient training of photonic quantum generative models

Reference 19

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Observation 6787df97-f98f-4cfc-af71-b5cb3301dba3 · inbound

Classical simulation and model concentration in passive linear optics cites this paper.

Classical simulation and model concentration in passive linear optics Efficient training of photonic quantum generative models

Reference 80

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Observation 411af774-ff33-4347-b0ad-bdd44fcdbeb2 · inbound

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Hybrid Quantum Neural Networks: Theory, Implementations, and Applications Efficient training of photonic quantum generative models

Reference 225

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