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Paper Citation Record · LEDGER

Continuously Tempered Diffusion Samplers

As of 15 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2509.00316.

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

pith.paper-citation-record.v1
2509.00316 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:56:10.245039Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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  • verified fuzzy8
  • unresolved20
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7bb05a5c-4f00-43ce-a0da-e477d06d5ed3 · outbound

This paper cites Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling.

Continuously Tempered Diffusion Samplers Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling

Reference 3

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Observation d987eddd-21e6-403f-999b-db02107a7125 · outbound

This paper cites (15) as ˆπθ t (x, ξ) = e−U ξ t (x)+F θ t (ξ)+ψ′ t(ξ) = e− ˜U θ t (x,ξ).

Continuously Tempered Diffusion Samplers (15) as ˆπθ t (x, ξ) = e−U ξ t (x)+F θ t (ξ)+ψ′ t(ξ) = e− ˜U θ t (x,ξ)

Reference 4

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Observation 01e9b2da-448d-46dc-8d12-545c764bc641 · outbound

This paper cites an unresolved cited work.

Continuously Tempered Diffusion Samplers Unresolved cited work

Reference 6

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Observation 1752ed6d-10e0-49ac-93b0-84c967a4a6da · outbound

This paper cites MCMC Variational Inference via Uncorrected Hamiltonian Annealing.

Continuously Tempered Diffusion Samplers MCMC Variational Inference via Uncorrected Hamiltonian Annealing

Reference 7

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Observation 019a4385-67a2-4e31-b6ec-7b65c87253cd · outbound

This paper cites Continuously tempered Hamiltonian Monte Carlo.

Continuously Tempered Diffusion Samplers Continuously tempered Hamiltonian Monte Carlo

Reference 9

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Observation 9156be58-2e91-43bb-ba49-45e1e5e63aac · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Continuously Tempered Diffusion Samplers Adam: A Method for Stochastic Optimization

Reference 10

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Observation 0d658f47-e986-405b-b46f-d96dc225a54a · outbound

This paper cites Learning Interpolations between Boltzmann Densities.

Continuously Tempered Diffusion Samplers Learning Interpolations between Boltzmann Densities

Reference 13

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Observation c1096eff-1f20-455f-8c56-a188309c8ca1 · outbound

This paper cites Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space.

Continuously Tempered Diffusion Samplers Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space

Reference 15

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Observation 660e4415-048f-49dc-8035-2d39450f78a4 · outbound

This paper cites Improved sampling via learned diffusions.

Continuously Tempered Diffusion Samplers Improved sampling via learned diffusions

Reference 16

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Observation 4a67d790-de63-4368-a34d-45d63d860a70 · outbound

This paper cites Continuously-Tempered PDMP Samplers.

Continuously Tempered Diffusion Samplers Continuously-Tempered PDMP Samplers

Reference 19

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Observation f05e8f5e-959c-40d4-ad73-66780fa66c2b · outbound

This paper cites Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains.

Continuously Tempered Diffusion Samplers Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Reference 20

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Observation aa5c7370-2534-41ee-9938-7ca0ea703b45 · outbound

This paper cites Monte Carlo Variational Auto-Encoders.

Continuously Tempered Diffusion Samplers Monte Carlo Variational Auto-Encoders

Reference 21

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source=pdf_text observed=2026-08-05T13:56:09.067046Z digest=sha256:98ea1768dfd8aab3c3ecba8eb20d7b5a884e3a475b73a0d3f37d754d1bc7f5ff

Observation d40b0b33-4ce5-4515-86f1-913fdcf69fc2 · outbound

This paper cites Liouville Flow Importance Sampler.

Continuously Tempered Diffusion Samplers Liouville Flow Importance Sampler

Reference 22

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source=pdf_text observed=2026-08-05T13:56:09.121763Z digest=sha256:2754036fd2a2ce4314bc6099445817a6e50001e624a0a6e1e3c26d8acb5efded

Observation 461c9977-366d-411a-8bfc-08ddfb0ee5db · outbound

This paper cites Denoising diffusion samplers,.

Continuously Tempered Diffusion Samplers Denoising diffusion samplers,

Reference 24

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source=pdf_text observed=2026-08-05T13:56:09.306002Z digest=sha256:6366004d2ecbcaea533ba616fda848676d48f77eb08937531c6347441d824bad

Observation f9371236-b98d-4f2a-b5b8-bf3ea7927c5f · outbound

This paper cites Denoising Diffusion Samplers.

Continuously Tempered Diffusion Samplers Denoising Diffusion Samplers

Reference 25

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Observation 30147c18-5f3e-4f85-8e60-07f014410b70 · outbound

This paper cites An Expert's Guide to Training Physics-informed Neural Networks.

Continuously Tempered Diffusion Samplers An Expert's Guide to Training Physics-informed Neural Networks

Reference 26

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Observation 27ce58fe-0c89-48e4-bf87-936a7166d737 · outbound

This paper cites Stochastic Normalizing Flows.

Continuously Tempered Diffusion Samplers Stochastic Normalizing Flows

Reference 27

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Observation 195441c1-ee8d-4423-a52e-6f7e256574da · outbound

This paper cites Path Integral Sampler: a stochastic control approach for sampling.

Continuously Tempered Diffusion Samplers Path Integral Sampler: a stochastic control approach for sampling

Reference 28

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Observation 66808e01-2209-4007-83e1-dd1684356e3b · outbound

This paper cites doi: 10.1103/physreve.110.034121.

Continuously Tempered Diffusion Samplers doi: 10.1103/physreve.110.034121

Reference 29

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Observation 6c90e252-06a3-49ef-ba0f-98e2244ba1ce · outbound

This paper cites (35) However, by eq.

Continuously Tempered Diffusion Samplers (35) However, by eq

Reference 31

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Observation d43c5867-e3cd-42f8-9a9d-3215163c83ee · outbound

This paper cites First, as is directly observed from the discretizations shown in fig.

Continuously Tempered Diffusion Samplers First, as is directly observed from the discretizations shown in fig

Reference 32

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Observation ec05e1b8-e349-4c4b-ba6f-af587739ae15 · outbound

This paper cites (59) and eq.

Continuously Tempered Diffusion Samplers (59) and eq

Reference 33

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Observation 66ebd205-84ab-487f-9ee7-29285bed10bd · outbound

This paper cites Additionally, we follow the lead of (Wang et al., 2023; Albergo & Vanden-Eijnden,.

Continuously Tempered Diffusion Samplers Additionally, we follow the lead of (Wang et al., 2023; Albergo & Vanden-Eijnden,

Reference 35

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Observation 6a37bcfd-12ba-43c5-a4ad-28e63e5ca851 · outbound

This paper cites For CTDS, we reparameterize using eq.

Continuously Tempered Diffusion Samplers For CTDS, we reparameterize using eq

Reference 36

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Observation 2942b794-b09f-4e3f-99e5-15471f5c8de5 · outbound

This paper cites Sampling Details.

Continuously Tempered Diffusion Samplers Sampling Details

Reference 37

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source=pdf_text observed=2026-08-05T13:56:10.245039Z digest=sha256:3941d2ad44ca5528074a1f90eb6c8ce97b4e9283e5af3f9b2b572a5f97e9dcd1

Observation 2a626429-0107-47c9-a317-b5ac2b298068 · outbound

This paper cites doi: 10.1209/0295-5075/19/6/002.

Continuously Tempered Diffusion Samplers doi: 10.1209/0295-5075/19/6/002

Reference 1992

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Observation a981d08c-ee8a-4804-a961-5395cf59a44e · outbound

This paper cites Annealed Importance Sampling.

Continuously Tempered Diffusion Samplers Annealed Importance Sampling

Reference 1998

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Observation 9c31acd4-2648-43ac-b697-5562fcb777f5 · outbound

This paper cites Physics-informed neural networks for sampling.

Continuously Tempered Diffusion Samplers Physics-informed neural networks for sampling

Reference 1999

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Observation 81254c79-bdad-49ea-981a-c900a5291a59 · outbound

This paper cites Transport meets Variational Inference: Controlled Monte Carlo Diffusions.

Continuously Tempered Diffusion Samplers Transport meets Variational Inference: Controlled Monte Carlo Diffusions

Reference 2008

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Observation 9360a1bb-4e19-49b7-8011-9343b69de800 · outbound

This paper cites Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning.

Continuously Tempered Diffusion Samplers Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning

Reference 2017

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Observation 1b9be40a-fe25-4464-b8ba-5c4ab9de8fa4 · outbound

This paper cites Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning.

Continuously Tempered Diffusion Samplers Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning

Reference 2019

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Observation 786bef4d-29f0-48d9-aa61-073f66fe9454 · outbound

This paper cites VarGrad: A Low-Variance Gradient Estimator for Variational Inference.

Continuously Tempered Diffusion Samplers VarGrad: A Low-Variance Gradient Estimator for Variational Inference

Reference 2020

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Observation ea8d51db-7447-40b7-a74a-5e7afc7a79d3 · outbound

This paper cites Annealed Flow Transport Monte Carlo.

Continuously Tempered Diffusion Samplers Annealed Flow Transport Monte Carlo

Reference 2021

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Observation f13cec0b-b54a-4194-8af0-ba98714b3c7e · outbound

This paper cites Score-Based Diffusion meets Annealed Importance Sampling.

Continuously Tempered Diffusion Samplers Score-Based Diffusion meets Annealed Importance Sampling

Reference 2022

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Observation d61393b0-aac8-44fe-b320-43ff49444f9d · outbound

This paper cites Langevin Diffusion Variational Inference.

Continuously Tempered Diffusion Samplers Langevin Diffusion Variational Inference

Reference 2023

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Observation 5956a456-32b3-4b25-ac65-84d5c556f902 · outbound

This paper cites NETS: A Non-Equilibrium Transport Sampler.

Continuously Tempered Diffusion Samplers NETS: A Non-Equilibrium Transport Sampler

Reference 2024

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Observation d98c3e0a-cf8e-49c6-9933-cc23f34128fe · outbound

This paper cites URL http://dx.doi.org/10.1103/PhysRevE.

Continuously Tempered Diffusion Samplers URL http://dx.doi.org/10.1103/PhysRevE

Reference 3787

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Pith citing papers

No inbound Pith citation observations are available.