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Paper Citation Record · LEDGER

Sampling from Boltzmann densities with physics informed low-rank formats

As of 12 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2412.07637.

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

pith.paper-citation-record.v1
2412.07637 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:42:48.203522Z

measured 38 of 38 standing notices

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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

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation 280c66f0-8ef8-4341-82c6-af87d9f63f7a · outbound

This paper cites Albergo, G.

Sampling from Boltzmann densities with physics informed low-rank formats Albergo, G

Reference 1

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Observation 6d52f071-7017-48c7-a882-bb72b3798239 · outbound

This paper cites Ambrosio, N.

Sampling from Boltzmann densities with physics informed low-rank formats Ambrosio, N

Reference 2

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Observation 9aca7fa6-8e28-47c4-8333-222b55ad9faf · outbound

This paper cites Arbel, A.

Sampling from Boltzmann densities with physics informed low-rank formats Arbel, A

Reference 3

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Observation 2414d702-b378-4592-85a2-350d7755e8e5 · outbound

This paper cites Bandeira, A.

Sampling from Boltzmann densities with physics informed low-rank formats Bandeira, A

Reference 4

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Observation 51b8afff-da76-4fa4-ab7a-0c11c71480ec · outbound

This paper cites Berner, L.

Sampling from Boltzmann densities with physics informed low-rank formats Berner, L

Reference 5

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Observation 700fc7d6-f5ec-403d-866d-8c0f38eb59e8 · outbound

This paper cites Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry.

Sampling from Boltzmann densities with physics informed low-rank formats Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry

Reference 6

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Observation 48ca9496-5aa2-4240-90a1-df7aa51031ff · outbound

This paper cites Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration.

Sampling from Boltzmann densities with physics informed low-rank formats Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration

Reference 7

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Observation fda30759-f507-410b-8499-c2ec7ade69a2 · outbound

This paper cites User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient.

Sampling from Boltzmann densities with physics informed low-rank formats User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient

Reference 8

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Observation b6f03973-e13e-460a-9283-eec19effd176 · outbound

This paper cites Del Debbio, J.

Sampling from Boltzmann densities with physics informed low-rank formats Del Debbio, J

Reference 9

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Observation b860c2db-c502-4b57-bb82-809669b5167e · outbound

This paper cites Del Moral, A.

Sampling from Boltzmann densities with physics informed low-rank formats Del Moral, A

Reference 10

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Observation a321ebbe-7057-40cf-ae7b-81e8d3d9a0d7 · outbound

This paper cites Dolgov, D.

Sampling from Boltzmann densities with physics informed low-rank formats Dolgov, D

Reference 11

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Observation 67b693f8-b2cb-48bf-9fc2-8a6f96a9a485 · outbound

This paper cites Doucet, S.

Sampling from Boltzmann densities with physics informed low-rank formats Doucet, S

Reference 12

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Observation 31dffefd-33e5-458e-a06e-672e3f7780ef · outbound

This paper cites Eigel, J.

Sampling from Boltzmann densities with physics informed low-rank formats Eigel, J

Reference 13

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Observation b0906a49-b950-4669-9575-5e87d5ba8b14 · outbound

This paper cites Eigel, R.

Sampling from Boltzmann densities with physics informed low-rank formats Eigel, R

Reference 14

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Observation 7194102a-3065-4ff9-b20d-9680af6579fa · outbound

This paper cites Hagemann, J.

Sampling from Boltzmann densities with physics informed low-rank formats Hagemann, J

Reference 15

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Observation aa59fa6e-50b6-4018-ace3-0951e502b441 · outbound

This paper cites Importance Corrected Neural JKO Sampling.

Sampling from Boltzmann densities with physics informed low-rank formats Importance Corrected Neural JKO Sampling

Reference 16

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Observation 8333b5a9-73c4-4b8b-8d94-b9c404c51cfe · outbound

This paper cites Thealternatinglinearschemefortensoroptimization in the tensor train format.SIAM Journal on Scientific Computing, 34(2):A683–A713, 2012.

Sampling from Boltzmann densities with physics informed low-rank formats Thealternatinglinearschemefortensoroptimization in the tensor train format.SIAM Journal on Scientific Computing, 34(2):A683–A713, 2012

Reference 17

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Observation 7ae62459-9adf-48d8-a530-74cf38817b31 · outbound

This paper cites Holtz, T.

Sampling from Boltzmann densities with physics informed low-rank formats Holtz, T

Reference 18

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Observation 9c5a5345-6f13-4a46-9769-79ad58804ed9 · outbound

This paper cites Máté and F.

Sampling from Boltzmann densities with physics informed low-rank formats Máté and F

Reference 19

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Observation 34ff1d08-be0f-4e57-9f03-475b07d907cf · outbound

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Sampling from Boltzmann densities with physics informed low-rank formats Unresolved cited work

Reference 20

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Observation 6471693a-68fb-437e-9aa1-93a8d7634c11 · outbound

This paper cites Flow Annealed Importance Sampling Bootstrap.

Sampling from Boltzmann densities with physics informed low-rank formats Flow Annealed Importance Sampling Bootstrap

Reference 21

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This paper cites Approximating Langevin Monte Carlo with ResNet-like Neural Network architectures.

Sampling from Boltzmann densities with physics informed low-rank formats Approximating Langevin Monte Carlo with ResNet-like Neural Network architectures

Reference 22

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Sampling from Boltzmann densities with physics informed low-rank formats Unresolved cited work

Reference 23

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Observation b76758f3-7353-40be-8a81-2a0078014b8f · outbound

This paper cites Nouy.Chapter 4: Low-Rank Methods for High-Dimensional Approximation and Model Order Reduction, page 171–226.

Sampling from Boltzmann densities with physics informed low-rank formats Nouy.Chapter 4: Low-Rank Methods for High-Dimensional Approximation and Model Order Reduction, page 171–226

Reference 24

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Observation 52113e25-6c2a-4ece-ad55-83c91c3b7c40 · outbound

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Sampling from Boltzmann densities with physics informed low-rank formats Unresolved cited work

Reference 25

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Sampling from Boltzmann densities with physics informed low-rank formats Unresolved cited work

Reference 26

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Sampling from Boltzmann densities with physics informed low-rank formats Unresolved cited work

Reference 27

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Sampling from Boltzmann densities with physics informed low-rank formats Papamakarios, E

Reference 28

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Observation 2605484b-99b9-4c6e-87d5-2e0e3679f865 · outbound

This paper cites Raissi, P.

Sampling from Boltzmann densities with physics informed low-rank formats Raissi, P

Reference 29

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Observation 6bd590c3-80d0-4983-9375-ad9cd37f5dfb · outbound

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Sampling from Boltzmann densities with physics informed low-rank formats Richter, L

Reference 30

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Sampling from Boltzmann densities with physics informed low-rank formats Rohwedder and A

Reference 31

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Observation 4510dc13-a43c-4988-9f63-b6425cf7e6e2 · outbound

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Sampling from Boltzmann densities with physics informed low-rank formats Sejdinovic, B

Reference 32

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Observation 1a641df4-0ecf-4982-ba3b-b19ab926e5ce · outbound

This paper cites Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations.

Sampling from Boltzmann densities with physics informed low-rank formats Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations

Reference 33

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Observation fe5b9c64-6ba1-4d27-900d-4a00631d473c · outbound

This paper cites Dynamical Measure Transport and Neural PDE Solvers for Sampling.

Sampling from Boltzmann densities with physics informed low-rank formats Dynamical Measure Transport and Neural PDE Solvers for Sampling

Reference 34

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Sampling from Boltzmann densities with physics informed low-rank formats Unresolved cited work

Reference 35

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Observation a509c8a0-1373-434a-976d-52f4f0b8fa64 · outbound

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Sampling from Boltzmann densities with physics informed low-rank formats Functional Tensor Decompositions for Physics-Informed Neural Networks

Reference 36

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Observation cb4d9a38-1258-4a83-a83b-418b15b733aa · outbound

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Sampling from Boltzmann densities with physics informed low-rank formats Unresolved cited work

Reference 37

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Observation 6fc3838c-4d1e-4c0c-801f-ee61cad82175 · outbound

This paper cites Zhang, Ö.

Sampling from Boltzmann densities with physics informed low-rank formats Zhang, Ö

Reference 38

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