Paper Citation Record · LEDGER

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation

As of 17 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 3 inbound Pith citation observations for arXiv:2505.03652.

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

pith.paper-citation-record.v1
2505.03652 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:51:02.505124Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:22:08.078088Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T22:00:50.282623Z

Reference resolution

52 of 52 outbound references displayed

verified exact2
verified fuzzy42
unresolved8
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 97dfaef0-d39b-46e7-aea9-34bf900cb9aa · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 1

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Source-reported events for the cited work

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Observation 8c7d8588-681a-4e4f-8a6d-136d7c6a4458 · outbound

This paper cites K., Beck, J.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation K., Beck, J

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:03.203571Z

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Observation e9d63664-6ba2-4677-9688-290aa978f7b2 · outbound

This paper cites S., 2021.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation S., 2021

Reference 3

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Observation ebe5cdf4-3a74-465c-916d-170c2220b8cb · outbound

This paper cites Statistics and Computing 16, 239–249.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Statistics and Computing 16, 239–249

Reference 4

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Observation 155716a2-bb6b-4f9a-bf9b-8e99148e4441 · outbound

This paper cites P., Louis, T.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation P., Louis, T

Reference 5

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Observation c42a45e9-3b9c-4d97-9cbd-1f9b23593b8a · outbound

This paper cites Sampling parameters of ordinary differential equations with Langevin dynamics that satisfy constraints.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Sampling parameters of ordinary differential equations with Langevin dynamics that satisfy constraints

Reference 6

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Observation f76864e3-9148-4165-b565-74ba2c4a01a1 · outbound

This paper cites Free energy methods for Bayesian inference: efficient explo- ration of univariate gaussian mixture posteriors.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Free energy methods for Bayesian inference: efficient explo- ration of univariate gaussian mixture posteriors

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:03.150708Z

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Observation 5db13678-7706-4013-b237-941e4403ff1d · outbound

This paper cites A., 2024.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation A., 2024

Reference 8

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Observation 74de8ea9-97de-43e7-9ce3-dd785d449254 · outbound

This paper cites Density estimation using real NVP.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Density estimation using real NVP

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:03.125067Z

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Observation 4e9f7737-cfc3-4082-b514-e4a62b2677ee · outbound

This paper cites R., Thiede, E.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation R., Thiede, E

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:03.112438Z

Source-reported events for the cited work

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Observation e827703a-92f7-4510-b6d3-8a79bb37bb64 · outbound

This paper cites Neural spline flows.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Neural spline flows

Reference 11

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Source-reported events for the cited work

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Observation 73dcb30d-71a1-4c7a-88b8-044344a76f67 · outbound

This paper cites B., Leibler, S., 2000.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation B., Leibler, S., 2000

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:03.087987Z

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Observation c4366e14-fee2-443c-a934-e1b50d330c8b · outbound

This paper cites W., Lang, D., Goodman, J., 2013.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation W., Lang, D., Goodman, J., 2013

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:03.075657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3dd6a168-4e50-4ee7-b0f2-aee5c30f93c6 · outbound

This paper cites N., 2008.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation N., 2008

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:03.062878Z

Source-reported events for the cited work

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Observation 407e7a1d-f69a-4aaa-b743-1501e1171d63 · outbound

This paper cites Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods

Reference 15

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Source-reported events for the cited work

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Observation 137b0ff8-40b0-443d-b38f-67aa51134781 · outbound

This paper cites M., Vanden-Eijnden, E., 2022.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation M., Vanden-Eijnden, E., 2022

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:03.049405Z

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Observation dc087e8b-0a77-4ac3-8206-168fcf4c762e · outbound

This paper cites J., 1992.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation J., 1992

Reference 17

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Source-reported events for the cited work

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Observation 329d335e-b74e-487d-bd8c-06b1dd1ef5eb · outbound

This paper cites Ensemble samplers with affine invariance.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Ensemble samplers with affine invariance

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:03.024476Z

Source-reported events for the cited work

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Observation 526c65ea-4079-4f51-b210-e95b7c4c7acc · outbound

This paper cites FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models

Reference 19

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Source-reported events for the cited work

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Observation e830f7b8-e3f7-4113-803b-010254490717 · outbound

This paper cites Deterministic Langevin Monte Carlo with normalizing flows for Bayesian inference.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Deterministic Langevin Monte Carlo with normalizing flows for Bayesian inference

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:03.011240Z

Source-reported events for the cited work

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Observation b34ded77-2470-4f1d-b76f-6954babd77d1 · outbound

This paper cites N., Waterfall, J.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation N., Waterfall, J

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.998856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 06d8204e-9493-41ed-9795-d7a168cf22f9 · outbound

This paper cites Flow-based sampling for multimodal and extended-mode distributions in lattice field theory.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Flow-based sampling for multimodal and extended-mode distributions in lattice field theory

Reference 22

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Source-reported events for the cited work

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Observation 63c76964-f997-48bd-a374-44754027533e · outbound

This paper cites Geometric insight into the challenges of solving high-dimensional reliability problems.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Geometric insight into the challenges of solving high-dimensional reliability problems

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.986260Z

Source-reported events for the cited work

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Observation f2b7d84a-3c8d-403b-af97-796ea5edb0d4 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Adam: A Method for Stochastic Optimization

Reference 24

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Source-reported events for the cited work

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Observation 155ec74e-5ff2-4713-8e1b-2335b08e6b95 · outbound

This paper cites P., Dhariwal, P., 2018.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation P., Dhariwal, P., 2018

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.973437Z

Source-reported events for the cited work

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Observation 8b3a2137-55be-456e-afb7-2ac8e11af9de · outbound

This paper cites D., Vecchi, M.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation D., Vecchi, M

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.961515Z

Source-reported events for the cited work

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Observation 0b591638-e570-4427-b42b-47f46ad63998 · outbound

This paper cites J., Brubaker, M.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation J., Brubaker, M

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.949044Z

Source-reported events for the cited work

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Observation a75dc256-bde5-46dd-9c2e-9ed265789ce8 · outbound

This paper cites Computing Bayes factors using thermodynamic integration.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Computing Bayes factors using thermodynamic integration

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.936433Z

Source-reported events for the cited work

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Observation 1480b8ca-2fa8-4601-9db3-9aff598e2317 · outbound

This paper cites S., 1996.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation S., 1996

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.923587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6a2835aa-a50f-4c0f-a645-a7e66eb2eb18 · outbound

This paper cites Learning interpolations between Boltzmann densities.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Learning interpolations between Boltzmann densities

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.911113Z

Source-reported events for the cited work

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Observation 71476cf2-9e41-4846-ae9f-f5119767b223 · outbound

This paper cites Umbrella sampling: A powerful method to sample tails of distributions.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Umbrella sampling: A powerful method to sample tails of distributions

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.898594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aa029311-e85a-4dc4-9530-411921a77723 · outbound

This paper cites Enhanced sampling with machine learning.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Enhanced sampling with machine learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.885689Z

Source-reported events for the cited work

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Observation e0daeee1-df4b-43d6-af39-61153b867eb8 · outbound

This paper cites W., Rosenbluth, M.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation W., Rosenbluth, M

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.873227Z

Source-reported events for the cited work

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Observation a8e4b0ad-6c0b-44b3-8fcf-76462c99d4cb · outbound

This paper cites I., Stimper, V., Simm, G.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation I., Stimper, V., Simm, G

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.860986Z

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Observation a2e9d73c-2f16-4ce5-b149-531bb65eb97c · outbound

This paper cites B., Payne, M.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation B., Payne, M

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.848652Z

Source-reported events for the cited work

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Observation 55bd226f-5c13-4f6b-a941-e67a6b31bbdf · outbound

This paper cites A., Anders, C.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation A., Anders, C

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.836579Z

Source-reported events for the cited work

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Observation 3c867b17-8534-47e6-95ed-07bd341151ff · outbound

This paper cites A., Nakajima, S., Strodthoff, N., Samek, W., Müller, K.-R., Kessel, P., 2020.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation A., Nakajima, S., Strodthoff, N., Samek, W., Müller, K.-R., Kessel, P., 2020

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.824304Z

Source-reported events for the cited work

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Observation 9d43436e-9ff5-41c7-82ff-7738db0ce7aa · outbound

This paper cites Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.811927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6577b19c-c5b8-496c-8beb-4777408e29f6 · outbound

This paper cites J., Mohamed, S., Lakshminarayanan, B., 2021.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation J., Mohamed, S., Lakshminarayanan, B., 2021

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.799376Z

Source-reported events for the cited work

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Observation f2d382c1-9f1d-434b-a964-7107f33b6c78 · outbound

This paper cites Masked Autoregressive Flow for Density Estimation.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Masked Autoregressive Flow for Density Estimation

Reference 40

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Observation 698b3bf3-6379-410e-9dba-459b714bcf7f · outbound

This paper cites On the difficulty of training recurrent neural networks.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation On the difficulty of training recurrent neural networks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.786967Z

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Observation 9ec2d804-9761-4ba1-9093-7ba43a574e35 · outbound

This paper cites H., Teukolsky, S.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation H., Teukolsky, S

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.773941Z

Source-reported events for the cited work

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Observation 43939afe-eadb-4372-ae6d-d6765d2d2c5e · outbound

This paper cites J., 1997.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation J., 1997

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.761324Z

Source-reported events for the cited work

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Observation a97966ee-f6ce-4413-a9b7-ab011188c401 · outbound

This paper cites Reweighting from the mixture distribution as a better way to describe the Multistate Bennett Acceptance Ratio.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Reweighting from the mixture distribution as a better way to describe the Multistate Bennett Acceptance Ratio

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:51:02.544061Z

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Observation b64f7cd5-0fac-478f-a01f-398d1f013128 · outbound

This paper cites Monte Carlo methods in statistical mechanics: foundations and new algorithms.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Monte Carlo methods in statistical mechanics: foundations and new algorithms

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.748271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d26f76da-cc7b-4ed9-b07e-32d94e25f769 · outbound

This paper cites Fixed-kinetic neural Hamiltonian flows for enhanced interpretability and reduced complexity.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Fixed-kinetic neural Hamiltonian flows for enhanced interpretability and reduced complexity

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.734533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5800a541-3b40-469e-a7fb-871ceed470e8 · outbound

This paper cites K., Machta, B.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation K., Machta, B

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.721441Z

Source-reported events for the cited work

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Observation fbf42cc2-eb26-487d-b0c1-ed8e25bae804 · outbound

This paper cites Runge–Kutta pairs of order 5(4) satisfying only the first column simplifying as- sumption.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Runge–Kutta pairs of order 5(4) satisfying only the first column simplifying as- sumption

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.707616Z

Source-reported events for the cited work

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Observation ad4c152b-b695-4bb1-bcaa-20a90a95e366 · outbound

This paper cites A., Nakajima, S., Kessel, P., 2022.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation A., Nakajima, S., Kessel, P., 2022

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.694772Z

Source-reported events for the cited work

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Observation f3d09081-997e-4ec3-bbbe-aba8f288161d · outbound

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Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:51:02.681234Z

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Observation 2c0cc2b5-df82-45a3-b2d8-c50d911fa313 · outbound

This paper cites an unresolved cited work.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:51:02.668048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 606b92c9-a311-47be-8e4d-75544702211a · outbound

This paper cites For each parameter, we computed the ESS using the formula: neff = N 1 + 2P∞ τ=1ρk.

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation For each parameter, we computed the ESS using the formula: neff = N 1 + 2P∞ τ=1ρk

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:51:02.654901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 7cef6f3e-8681-413c-8364-69105227454a · inbound

Jeffreys Flow: Robust Boltzmann Generators for Rare Event Sampling via Parallel Tempering Distillation cites this paper.

Jeffreys Flow: Robust Boltzmann Generators for Rare Event Sampling via Parallel Tempering Distillation Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:00:50.289879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e28f214a-12dc-4f35-8443-d09983e692f5 · inbound

Leveraging generative models to assist Monte Carlo sampling cites this paper.

Leveraging generative models to assist Monte Carlo sampling Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-11T00:34:16.264107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa45d59c-4f49-4e8a-bf1b-cf35eca29944 · inbound

NAE: Normalizing AutoEncoder cites this paper.

NAE: Normalizing AutoEncoder Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation

Reference 211

Resolution: unresolved; no resolver link, observed 2026-08-16T00:22:08.078088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.