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Paper Citation Record · LEDGER

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage

As of 7 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 1 inbound Pith citation observation for arXiv:2505.19431.

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

pith.paper-citation-record.v1
2505.19431 v1

Coverage vector

measured 84 of 84 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:20:08.788471Z

measured 85 of 85 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:28:41.763670Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T19:28:44.979901Z

Reference resolution

84 of 84 outbound references displayed

  • verified exact0
  • verified fuzzy46
  • unresolved37
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8f3cbd0-29e5-4f9c-ac71-25ae799eb182 · outbound

This paper cites Impor- tance sampling: Intrinsic dimension and computational cost.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Impor- tance sampling: Intrinsic dimension and computational cost

Reference 1

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Observation c7f965f6-5359-4e37-8c47-8ee776d0b2be · outbound

This paper cites Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Iterated Denoising Energy Matching for Sampling from Boltzmann Densities

Reference 2

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source=pdf_text observed=2026-08-07T14:19:59.230923Z digest=sha256:2e4d0ebfdba8f74cf77715deba5f0a61d9382d105b5fec7304d9276881fca01c

Observation b85fd8ba-2d18-43e6-b1af-85df2af2c0b2 · outbound

This paper cites Flow-based generative models for markov chain monte carlo in lattice field theory.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Flow-based generative models for markov chain monte carlo in lattice field theory

Reference 3

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Observation e16abda2-87a9-43f5-b04b-fbe8d6bc68e4 · outbound

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

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage NETS: A Non-Equilibrium Transport Sampler

Reference 4

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source=pdf_text observed=2026-08-07T14:19:59.386610Z digest=sha256:4e0b1ae85a50cd25999cd86beaa3fa775f61577f55b545b89d8298356b736f43

Observation 7f559711-99e4-456c-8846-9b0bf6f0ad97 · outbound

This paper cites Reverse-time diffusion equation models.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Reverse-time diffusion equation models

Reference 5

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source=pdf_text observed=2026-08-07T14:19:59.455757Z digest=sha256:673d5f218dafcf4a276e5182d6fd4e6e50f078e58c81cfbec697a1da0b0127b2

Observation 0824b8eb-3ba8-40c7-a220-f59dd000105b · outbound

This paper cites Gflownet foundations.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Gflownet foundations

Reference 6

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source=pdf_text observed=2026-08-07T14:19:59.543236Z digest=sha256:30c6e18fa2dfff990cea58be0ecbbc102dd2b27b43bf23437f6130278df4f7fb

Observation 17a35320-edfa-4c87-8694-985c26d06814 · outbound

This paper cites Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization

Reference 7

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source=pdf_text observed=2026-08-07T14:19:59.605198Z digest=sha256:e5beb124898850c6303050a55457e10b8f037a088a0d4ddb723d92f6b188e8af

Observation bf4dc9f1-34aa-420e-a931-f05d6af1ff65 · outbound

This paper cites An optimal control perspective on diffusion-based generative modeling.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage An optimal control perspective on diffusion-based generative modeling

Reference 8

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source=pdf_text observed=2026-08-07T14:19:59.677218Z digest=sha256:8181d1311edb661d6518ad55fa5c52085e0b6b51b5cba073c9e91fc07c1c6e1b

Observation bc77cb4c-8104-45d5-a2af-507774178f38 · outbound

This paper cites Pattern recognition and machine learning, volume 4.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Pattern recognition and machine learning, volume 4

Reference 9

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source=pdf_text observed=2026-08-07T14:19:59.760187Z digest=sha256:8ffa7be5d5349afe672aa1d7c2a370ca6a37f0e9eb5a12afabaffe56b3fc1c57

Observation a6b34ddf-c826-4ca0-878f-5c40029a4573 · outbound

This paper cites SE(3)-stochastic flow matching for protein backbone generation.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage SE(3)-stochastic flow matching for protein backbone generation

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cbf830f3-09fc-4256-a1ca-06b616b45e42 · outbound

This paper cites Bayesian inference in statistical analysis.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Bayesian inference in statistical analysis

Reference 11

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Observation e3e04862-3198-42fa-8c42-59b103f605fa · outbound

This paper cites Introduction to Rare Event Simulation.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Introduction to Rare Event Simulation

Reference 12

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:19:59.985080Z digest=sha256:98ea148e9b38773a24bd9471cfefa163f6fa870aa0fdee4f741295e46663a336

Observation 87a59107-b327-4198-8450-414fe43fe867 · outbound

This paper cites Adaptive importance sampling in general mixture classes.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Adaptive importance sampling in general mixture classes

Reference 13

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 58992129-9126-49b4-8cce-f7046c77294e · outbound

This paper cites Br-snis: bias reduced self-normalized importance sampling.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Br-snis: bias reduced self-normalized importance sampling

Reference 14

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:00.127613Z digest=sha256:69fadf57db8a6ad3574be974b078ff182e1c8c66e75453c96c2f32efcec96629

Observation 2479f6d7-096d-4e75-abbc-4dac00053a37 · outbound

This paper cites Sequential Controlled Langevin Diffusions.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Sequential Controlled Langevin Diffusions

Reference 15

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Observation b40bf42f-5be7-41c5-b304-5aa1ffcc1e54 · outbound

This paper cites The probability flow ode is provably fast.Advances in Neural Information Processing Systems, 36:68552–68575, 2023.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage The probability flow ode is provably fast.Advances in Neural Information Processing Systems, 36:68552–68575, 2023

Reference 16

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Observation 9c9ba75f-774d-471f-a416-b06b2c27c3f2 · outbound

This paper cites Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions

Reference 17

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Observation cb699fa7-dcb1-4322-b9b9-013f60c057fd · outbound

This paper cites Adaptive multiple importance sampling.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Adaptive multiple importance sampling

Reference 18

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 934dca37-818e-4c7c-b283-aeb2298ae390 · outbound

This paper cites Sequential Monte Carlo samplers.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Sequential Monte Carlo samplers

Reference 19

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Observation 9db2e5d2-53f2-4d3a-84d7-570d3c877861 · outbound

This paper cites Density estimation using Real NVP.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Density estimation using Real NVP

Reference 20

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ccb88a66-2473-4723-92d5-3177585ebf24 · outbound

This paper cites Alaya, Aurélie Boisbunon, Stanislas Chambon, Laetitia Chapel, Adrien Corenflos, Kilian Fatras, Nemo Fournier, Léo Gautheron, Nathalie T.H.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Alaya, Aurélie Boisbunon, Stanislas Chambon, Laetitia Chapel, Adrien Corenflos, Kilian Fatras, Nemo Fournier, Léo Gautheron, Nathalie T.H

Reference 21

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Observation 20796e1e-ae50-4520-adf6-e31d12d369a2 · outbound

This paper cites Understanding molecular simulation: from algorithms to applications.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Understanding molecular simulation: from algorithms to applications

Reference 22

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Observation 4cf115e1-6fec-464f-8fd0-22079755f313 · outbound

This paper cites MCMC variational inference via uncorrected Hamiltonian annealing.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage MCMC variational inference via uncorrected Hamiltonian annealing

Reference 23

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9e9fc08d-0df2-486d-8a9b-31c8544ddc7e · outbound

This paper cites Sampling-based approaches to calculating marginal densities.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Sampling-based approaches to calculating marginal densities

Reference 24

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7499948f-9e88-4a42-a27f-d5cffe434890 · outbound

This paper cites Neural adaptive sequential monte carlo.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Neural adaptive sequential monte carlo

Reference 25

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 536e5f22-2691-420d-9cc8-16a93816b43f · outbound

This paper cites Training Neural Samplers with Reverse Diffusive KL Divergence.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Training Neural Samplers with Reverse Diffusive KL Divergence

Reference 26

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Observation a43b3737-28c0-4d30-a4ef-f1596f42f131 · outbound

This paper cites Denoising diffusion probabilistic models.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Denoising diffusion probabilistic models

Reference 27

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source=pdf_text observed=2026-08-07T14:20:01.204952Z digest=sha256:3398069065df530ac2eca502825029385e395110e693b2bc7eff290bed41496d

Observation b5ff85c8-4fc6-436a-a30c-5307291ab732 · outbound

This paper cites The no-u-turn sampler: adaptively setting path lengths in hamiltonian monte carlo.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage The no-u-turn sampler: adaptively setting path lengths in hamiltonian monte carlo

Reference 28

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a3948166-ea59-48ed-a083-0c7f75df1951 · outbound

This paper cites Schrödinger-föllmer sampler.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Schrödinger-föllmer sampler

Reference 29

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c68a6a2d-7217-417e-84b3-891746ad72ae · outbound

This paper cites Highly accurate protein structure prediction with alphafold.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Highly accurate protein structure prediction with alphafold

Reference 30

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Observation cc6cece9-0eb9-4aab-8802-a5ce3b4fca46 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Elucidating the design space of diffusion-based generative models

Reference 31

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source=pdf_text observed=2026-08-07T14:20:01.644673Z digest=sha256:5884ff97e72c49abcbd3fc2054ce6a3af8f92c104b4956ab40da1c4a6612db77

Observation 8112c7ed-53c8-4954-b40f-68d593688f29 · outbound

This paper cites Equivariant flow matching.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Equivariant flow matching

Reference 32

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raw_fallback, observed 2026-08-07T14:20:16.285163Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:01.769862Z digest=sha256:e36fbfc86a098a5c80363596313d2c6cd72b4c4f65c50ad22b3dc5561e19b576

Observation 302378ba-9e29-4df6-9144-efbec69370a1 · outbound

This paper cites Rigid body flows for sampling molecular crystal structures.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Rigid body flows for sampling molecular crystal structures

Reference 33

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:01.854750Z digest=sha256:72613290fb5adfad5fa18f161c850b647ad7395a65fbd4affe1c42fd6a2e88c4

Observation 70c3be15-e577-45e5-9545-1ce831ffa1f9 · outbound

This paper cites Equivariant flows: exact likelihood generative learning for symmetric densities.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Equivariant flows: exact likelihood generative learning for symmetric densities

Reference 34

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raw_fallback, observed 2026-08-07T14:20:15.913781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:01.970989Z digest=sha256:38d010975b5c056ec74b6e15a6740097a25c4d84246c433dfbaf52fd1f8fa212

Observation 27146593-2012-4ce8-9d31-c468e27bba6a · outbound

This paper cites A theory of continuous generative flow networks.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage A theory of continuous generative flow networks

Reference 35

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raw_fallback, observed 2026-08-07T14:20:15.703724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:02.048732Z digest=sha256:db9379c43783afbddb93263aab87b0f3e0d7fd35834179088da54f8b9a8f6d9d

Observation 1c119bfc-dd18-4f73-8383-a58ee882ded8 · outbound

This paper cites Markov chains and mixing times , volume 107.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Markov chains and mixing times , volume 107

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:02.161831Z digest=sha256:9fcdab3dd9b91ccbacdb1ee5ec637f42fc4c818fb045c1853d1eab32facd145b

Observation 37f979da-8233-428a-b92c-d7b2de2eb54d · outbound

This paper cites Towards non-asymptotic convergence for diffusion-based generative models.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Towards non-asymptotic convergence for diffusion-based generative models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:15.479393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:02.247690Z digest=sha256:62ab1481ac42a4685724c342536df51c0e3558f169f14040fb95fc9eddbb59ed

Observation eb95708c-15e6-411f-afb4-5db965ee0b0d · outbound

This paper cites Gradient Estimators for Implicit Models.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Gradient Estimators for Implicit Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:02.355450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:02.355450Z digest=sha256:256b9e01d68d80a2b6769b23369664422c3f9eab415f3176bb481b2fb0a72562

Observation 625702cc-c656-460b-bba9-864f87412ce6 · outbound

This paper cites Entropy-based training methods for scalable neural implicit samplers.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Entropy-based training methods for scalable neural implicit samplers

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:15.311301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:02.463207Z digest=sha256:423f54de92dbff55fb9724d55980d22b90c92135620624bec089d597ec1e4a48

Observation 17bd7b48-9563-4bb4-b258-6da4e89e6a1d · outbound

This paper cites Learning gflownets from partial episodes for improved convergence and stability.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Learning gflownets from partial episodes for improved convergence and stability

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:15.114829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:02.549526Z digest=sha256:5a958b5968c8f6b712354222547c032b4cc9fea5d730d7d8f2f355f19b9f2374

Observation a5e75809-8fb8-4ca7-a574-ad4896ea483f · outbound

This paper cites Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:02.633092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:02.633092Z digest=sha256:f31e18ab6593eb97a0597d33b46602e60bc5b1937b4c03847ba7c3600bfdb5d0

Observation c8a1914f-c267-443f-9149-fafb66f5f47e · outbound

This paper cites Trajectory balance: Improved credit assignment in gflownets.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Trajectory balance: Improved credit assignment in gflownets

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:14.920293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:02.741277Z digest=sha256:c15b8b4d624a0af465542fd7ab8e5b6b573d423f38e356b87daca4de840952b5

Observation 39dea423-ecc5-43db-9580-881b5c7e2ccb · outbound

This paper cites Gflownets and variational inference.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Gflownets and variational inference

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:14.730777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:02.826613Z digest=sha256:b0842c1f5d68f1a5d257345f7fc85e06316bdbe7ab56b7302b9dcff1af941d6f

Observation e7169e7e-0830-43d3-b090-b2ee13e1f4b9 · outbound

This paper cites Independent doubly adaptive rejection metropolis sampling within gibbs sampling.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Independent doubly adaptive rejection metropolis sampling within gibbs sampling

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:14.569285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:02.881781Z digest=sha256:9e54e96018bbe9df74a0d45d5b0e9eee002336c87e18566f406c5c516d9d67ab

Observation f7c9c7c3-e9ee-4201-a4fa-104dd0a13fdd · outbound

This paper cites Equation of state calculations by fast computing machines.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Equation of state calculations by fast computing machines

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:14.386221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:02.969876Z digest=sha256:12f075b75073d3496b1a7c67a1e0430db5165172442aa29155648de079af9d2d

Observation df0546c9-845a-4190-a738-934ab093e6a3 · outbound

This paper cites SE(3) equivariant augmented coupling flows.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage SE(3) equivariant augmented coupling flows

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:14.122364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:03.064993Z digest=sha256:894d67167bccfddab393654246605469f0ab348329880f5eb3975024b0225ae9

Observation 7ba8ac22-24b7-44d8-999c-1764e4e9a73b · outbound

This paper cites Flow annealed importance sampling bootstrap.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Flow annealed importance sampling bootstrap

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:13.933149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:03.193401Z digest=sha256:958523dcdea1f1f556db100e767906455f93fa47de9b9608588d2ba4648628b2

Observation aecd947a-7c57-4574-8087-0c48bf4d4087 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Playing Atari with Deep Reinforcement Learning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:03.295320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:03.295320Z digest=sha256:086e4834d90a3d3e8a5db9c8a743ab90b71cd1b5d950a8972262903549f404d4

Observation e4935491-6c9f-42cf-b7ed-0fbb392c44ca · outbound

This paper cites Neural importance sampling.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Neural importance sampling

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:13.761033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:03.396191Z digest=sha256:ff8180495a7a23498d44bfea8367bc156792d2c917db8fb0f348eae082a4eadc

Observation 1f388550-29b2-4fdb-8d15-9e462d13a865 · outbound

This paper cites Annealed importance sampling.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Annealed importance sampling

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:13.611020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:03.511847Z digest=sha256:9bdc332378b55bef58bd9a8b4190d92ea1197d8ba4ea8f67bf3b54544298e48e

Observation 04f51476-dbe1-4819-9151-0c375947e232 · outbound

This paper cites MCMC using Hamiltonian dynamics.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage MCMC using Hamiltonian dynamics

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:13.460911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:03.668208Z digest=sha256:886dcb1f059d8d244536a066ec5890800efa7a52cc2b76917e5f7e070f4b9075

Observation 0fa7f484-9914-492f-8138-23b9e4aa4821 · outbound

This paper cites Asymptotically unbiased estimation of physical observables with neural samplers.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Asymptotically unbiased estimation of physical observables with neural samplers

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:13.288640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:03.811000Z digest=sha256:0492122caed957c7844ccfdb476b26ea6b8033b58971e1bdf708af0f2145535a

Observation 9a282d74-3ca2-4a1b-962f-e07e7e313aa8 · outbound

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

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:13.052241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:03.955763Z digest=sha256:d8d63ae8c124b0c09849cc388745c74f9795c51e85cb8f2d30628c6ec7064c67

Observation 903c25cc-3f7a-4ad3-ad57-0241c88a3f76 · outbound

This paper cites Machine learning for molecular simulation.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Machine learning for molecular simulation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:12.902072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:04.113072Z digest=sha256:d1eac71b5e493ff56f2081505760f94a5f1a49346946c337f7feb9eeceeeba1a

Observation d9dfc3be-f772-48ce-901b-4f598b9c896f · outbound

This paper cites Adaptive importance sampling in monte carlo integration.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Adaptive importance sampling in monte carlo integration

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:12.728788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:04.287638Z digest=sha256:a8cc4dea53a04df1e88e96942d08274aedaeaaa0ed01df2da69995b0b34d4a73

Observation 66482ca1-b2ef-407b-aa40-b8a39c1d86ea · outbound

This paper cites an unresolved cited work.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:20:12.568028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:04.484340Z digest=sha256:df74241437a3cdf6b9c6fbb0bb1477837e88b59fd23c9dbf1b4e220363ec802f

Observation 959c5962-9fc4-41d2-b2f4-4491157f7de3 · outbound

This paper cites Monte Carlo theory, methods and examples, volume 1.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Monte Carlo theory, methods and examples, volume 1

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:12.354914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:04.656894Z digest=sha256:cf1d31e17053b2eb0015301df82d1b8b09156fb5cdccbb4faa708d75bf97f5ab

Observation 8739ce35-e847-494d-a5d5-9f58bb00fec4 · outbound

This paper cites Statistical aspects of wasserstein distances.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Statistical aspects of wasserstein distances

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:12.217797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:04.829376Z digest=sha256:ed49008a4f4c9f4207cc9b72fb3bde277c81f5befeede9bef2b4fe3fa0845ae8

Observation 6cac21a3-782a-4f2d-8365-90fafbef7773 · outbound

This paper cites Parallel markov chain monte carlo simulations.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Parallel markov chain monte carlo simulations

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:12.008286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:05.056647Z digest=sha256:9b6cd81a7060bb98b01de826e4640f088f6953fc4275609054c49c214f7ff1ba

Observation 645ce116-f356-48e8-9b4f-705d12b7ba57 · outbound

This paper cites Variational inference with normalizing flows.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Variational inference with normalizing flows

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:11.827728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:05.249956Z digest=sha256:c99ed854271eb21c27904729d2c5ccd0ec650749adfc9b95ec52a79f03729d4d

Observation ea46225b-e15e-4f8a-9a5a-d13e9dc06813 · outbound

This paper cites Monte Carlo Statistical Methods.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Monte Carlo Statistical Methods

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:11.673926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:05.425033Z digest=sha256:e327366bc1423f5f640431ec4daf45a50d27ee861ca33a82a0d4f88cf044a7f5

Observation f05387c2-1a52-4c81-b193-2e4efc7f5e35 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Progressive Distillation for Fast Sampling of Diffusion Models

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:05.650168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:05.650168Z digest=sha256:8a36775b65dc5cd238e86e0fd5de772fc961a8df471f446595af2e324f1fb316

Observation ca74a71a-c719-4798-a819-195e382118c1 · outbound

This paper cites Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:05.850886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:05.850886Z digest=sha256:c47189b4975e756a6069b4ba38aa2294435e8891ff189f528f74b33444d9058e

Observation d3fb6c67-fd9f-4012-8529-38bf7e685f73 · outbound

This paper cites Improved off-policy training of diffusion samplers.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Improved off-policy training of diffusion samplers

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:11.497644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:06.011790Z digest=sha256:5b1a45f19554dac3697760a00abb328cf4bd04a1ea7557b66c2be3222fbabfc8

Observation 4a10c921-b4fa-4b29-b5af-a128145f6c3b · outbound

This paper cites Kernel Implicit Variational Inference.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Kernel Implicit Variational Inference

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:06.182070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:06.182070Z digest=sha256:b23a88ef1c2f37e86cfa60fb2ab7613f7a8a1e69a8fc6163a21df98587797486

Observation ca8e4667-5a07-4220-ab54-9e5db9444638 · outbound

This paper cites Consistency models.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Consistency models

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:06.353050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:06.353050Z digest=sha256:6718613826f89f4bdc4de002209776532dd8dd881f6eee46ab6bb445f51d20a4

Observation 11dc6435-8cc1-44f5-8e1b-850a3fca6d16 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Generative modeling by estimating gradients of the data distribution

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:06.581683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:06.581683Z digest=sha256:7c33ad93c7a6b579634dbe10ede1752c9ddf32179b51fd92f4500d6f09465505

Observation 9b3ee823-3d49-494e-aeac-32cf587a0973 · outbound

This paper cites Sliced score matching: A scalable approach to density and score estimation.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Sliced score matching: A scalable approach to density and score estimation

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:11.322892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:06.758599Z digest=sha256:7f2e0ad3406e7a892b8c3de0328cf7d739295d8af53d96475c422d9cb5789fca

Observation b2a2d557-4da0-4d11-bd5c-241d4ead3474 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Score-based generative modeling through stochastic differential equations

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:06.926733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:06.926733Z digest=sha256:ec18a7948fad23ce066eb540cf2331f09983ed6b605aa54206f48d9fa0e0ed3c

Observation 57f40d47-1651-4dac-ab8c-341b9f7cf6f0 · outbound

This paper cites Reinforcement learning: An introduction.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Reinforcement learning: An introduction

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:07.108715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:07.108715Z digest=sha256:5b57e43006c92b58b3a5b92eedd17746f9270ceafcfcb1c0660739ce3575cb85

Observation e5f72778-17fd-48db-898a-292651acf76c · outbound

This paper cites Monte Carlo variational auto-encoders.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Monte Carlo variational auto-encoders

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:11.132189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:07.280698Z digest=sha256:c4eda05baecd02c24191ee86844266520f99dce05a73b6bfc1eba72dba4f8d7b

Observation c4965f5b-c968-4361-8651-78ca23269a93 · outbound

This paper cites Importance sampling: a review.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Importance sampling: a review

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:10.973282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:07.483748Z digest=sha256:5d788e7cde7009e2123b86d260d5d2a7a8cec232609b4e885bca3c5874298a42

Observation 6ddc7ef4-6fb0-457c-988d-e2af518d2d5c · outbound

This paper cites Denoising diffusion samplers.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Denoising diffusion samplers

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:10.809730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:07.640070Z digest=sha256:abd5dcd403d00ce49be6248fdb29d9afe0cbd27cc9e27cad81c0617afc700ddf

Observation 0c61b34f-0c5b-4eb1-a1f3-c5434552a013 · outbound

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

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Transport meets Variational Inference: Controlled Monte Carlo Diffusions

Reference 74

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unresolved
no resolver link, observed 2026-08-07T14:20:07.813485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:07.813485Z digest=sha256:aafc31d059fcbef4756616151aefcfc9a1847dc6605edc712016ee4d787585dd

Observation 832168a7-1cc1-4724-8bf8-170aa3834c8f · outbound

This paper cites The wasserstein distances.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage The wasserstein distances

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:10.620627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:07.987211Z digest=sha256:e2801bffc1c29dffddd130d55e1c04ee7e8d54f4ccee3cc44dc7ab71c9bdc682

Observation b8a17e10-a157-4b31-97ad-e212cc72d8c2 · outbound

This paper cites A connection between score matching and denoising autoencoders.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage A connection between score matching and denoising autoencoders

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:08.221008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:08.221008Z digest=sha256:e02d341c56ce97fc65bf59205a81defdb8b76a7c071a4d5a29d6962ea4914611

Observation f1478dfb-26a3-4982-815f-5e05974e70f6 · outbound

This paper cites High-dimensional statistics: A non-asymptotic viewpoint , volume 48.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage High-dimensional statistics: A non-asymptotic viewpoint , volume 48

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:08.411571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:08.411571Z digest=sha256:70fa6544fc75b15815345ca2b064b17aa06b1d1d1c4c5bc24edc711005855be8

Observation b9a6b6c2-26d0-46eb-96f5-da711ffacdfb · outbound

This paper cites Q-learning.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Q-learning

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:10.399950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:08.598237Z digest=sha256:accd5a104ab1bb1a74541f1946ffc46c9df61741f937db0c7ba7f9b7efda36f6

Observation d4dfa244-b70d-4eea-9716-c100a69fda57 · outbound

This paper cites Targeted free energy estimation via learned mappings.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Targeted free energy estimation via learned mappings

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:08.601508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:08.601508Z digest=sha256:29c5179c892b8ee5f83d6863b8e1efba5a4d04c13593efc7e0cb09cd11498c0e

Observation 3f711642-d62a-41ef-a6f1-645fd80cfabf · outbound

This paper cites Stochastic normalizing flows.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Stochastic normalizing flows

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:10.151086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:08.604164Z digest=sha256:eced2a4535e321f0204fac4ae1ca5f19c94856a712830c8cecfd4d89120b5c95

Observation bb9c735d-7b88-4b22-bfef-d904b615f43c · outbound

This paper cites Diffusion generative flow samplers: Improving learning signals through partial trajectory optimization.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Diffusion generative flow samplers: Improving learning signals through partial trajectory optimization

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:09.847136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:08.607171Z digest=sha256:07c1f2079dfa0c33c7388188e6bd7a024ae91b7cf19404b2971d874298b9090f

Observation ca2ffe61-9e00-4127-bbee-792bac32a5ed · outbound

This paper cites Variational f-divergence Minimization.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Variational f-divergence Minimization

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:08.610162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:08.610162Z digest=sha256:c18ecfcb0c5a45660ee12f2aeb16db5da5497b477a59d9081ad711203756dfbe

Observation b02ce62c-3e4c-4896-ab62-3d523a06691a · outbound

This paper cites Path integral sampler: a stochastic control approach for sampling.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Path integral sampler: a stochastic control approach for sampling

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:20:09.562661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:08.650206Z digest=sha256:d47f6d84b3c22588ac629020a44fad50b8df82fd5a10e9f08bef775b4ca66bbb

Observation 971873c7-aa5d-48d8-99dd-f36abe8d1295 · outbound

This paper cites Future Work,.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Future Work,

Reference 84

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T14:20:09.293151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:20:08.788471Z digest=sha256:218b45f7cbb28c290105fe6a113e73f9d6c72b795e88ecc65c5a4e76d3f70b1a

Pith citing papers

Observation 26e3ca9f-ab89-4db2-9c1f-c6f8a5a77ffe · inbound

Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework cites this paper.

Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage

Reference 136

Resolution
verified exact
local_arxiv, observed 2026-08-05T19:28:45.029331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T19:28:41.763670Z digest=sha256:1498fbdf815a25b95200f34430619e07c69b17f6ffdc51b6d6983a4c257704c3