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Paper Citation Record · LEDGER

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage

As of 9 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 2026-08-09T06:31:02.800959+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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  • malformed identifier1
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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=sha256:34f97e4c351f51e16511f9e452f32cf416e8d2957a78c1e553e21cba47fe97c3

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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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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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=sha256:8fbea14ce1b1c47f1e9a565edc9f65c7abc1f6fe56956a6754cf08a4142b2543

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=sha256:0b5957e04769e25fe356e10c8cad43013e5717f150d1b12db5a33e0e3d2f5b5e

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 2026-08-09T06:31:02.800959+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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source=pdf_text observed=2026-08-07T14:19:59.926785Z digest=sha256:e343b56ab1c9e05e7c20a48792563537dd90baf6efd6e5e1441e88c69a692e1b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:19:59.985080Z digest=sha256:eaab7c94431e40f86d7947dc47a7915646560ebed42b8940a0644dcd01db6af4

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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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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source=pdf_text observed=2026-08-07T14:20:01.526794Z digest=sha256:1f5e7db187d4783019d8334b63afbbf999f03dca38dcf92f661b6881949200ec

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:01.769862Z digest=sha256:beafd186ffc0e87d32a188ddce268cbf024056a2e4dcaee9dbce8931b8b3c26c

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:01.854750Z digest=sha256:2eb5cc42872b23b07822dcc8239a9a413f73d0e67868906802a3ca5146f57321

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:01.970989Z digest=sha256:a07fb8fe598aa913bb16fa34886b11c5418bfe0e354fef6cc9ed33d2f9d5e32a

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:02.048732Z digest=sha256:a1aebbd4e557bb8bf50b0f2197f0fc085c17e8a71f8398b7d5f1dc8930e46bd8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:02.247690Z digest=sha256:03f31f9dd9f8a7d64847bedc44ce6a71ea5ca3bb87699a4d43d015e2dae44c1c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:02.463207Z digest=sha256:084019a2290719bd89fdd5bf34afe1e0fb7c9909712ce12631df2ca0c0335da2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:02.549526Z digest=sha256:6832a6c3caa23ea2a3345a8821007bc01658df407f161fb8330a655e9fb67d22

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:02.741277Z digest=sha256:9690c9ff36fe1352eb179a0e4b2ee9b465efcf73b396286d757e2e413a2c20f2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:02.826613Z digest=sha256:9aa59884342f66624006332c0f98dea0dfb8469306b36a27452ac285c477489d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:02.881781Z digest=sha256:85a06848e54a0f7f75c0f770f820eaa80d1035ff18e2d4d48f606e7162ca3ea1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:02.969876Z digest=sha256:f76e8351c0a8894be607db9865c2177f5e7e3a9614c3b42ab548015c4733f248

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:03.064993Z digest=sha256:3476cb8665736a486075780a910c56adc05649a0d40561c961f8020071702e21

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:03.193401Z digest=sha256:fc671e73a883235dfbcddb44a915b396fd15649450bf5d0f67781470e3e2c1db

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:03.396191Z digest=sha256:d7fd83196c312fa525e31398f1184649b5c84a19b741feb46598dd1f82f067a2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:03.511847Z digest=sha256:5d3f8c4d78ab613dd2070da04edfb6f305225768e3194c1abb8fe4be165c5d66

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:03.668208Z digest=sha256:b3c32e366ae5868680732fa0139853138bbe34397aebcdf9de9e9d3e5ead6c41

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:03.811000Z digest=sha256:17998096fbb3a3eb50d23c174d232855f1ca1963567b1fcdb3f95df9074ebaf2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:03.955763Z digest=sha256:5cb0161456c7518fd9a80de0b33cbe3ede127965e5fbfad05932fd0911040f33

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:04.113072Z digest=sha256:66207701f422f3f2489cfe6018a5b17e89422f792583c77443c4103eadbd2d8d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:04.287638Z digest=sha256:ee67b13d07730a9fc09a04ee2492231c4a84a23695e0f2c10b7679a026fa4c71

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:04.484340Z digest=sha256:0015eb7ef977134f6762b2633fc72fe7ae1fed54ca6259723118496fca952ca1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:04.656894Z digest=sha256:b97fe749a9aa1ed6b3abe7c83ae9bbf003a4f59c4331062f67acbb4d419fbb8f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:04.829376Z digest=sha256:0de613f71a233912a08f583d53171ce2ee631b7e620803ad57b04acc0cf571bd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:05.056647Z digest=sha256:7d56c45e347ac1aed4366d87dc0a5b3db5d3f2fca2b58271aad40ff2d6d76f01

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:05.249956Z digest=sha256:bf5854179abf502348d4215efe78ef8d965366c392b943133e16c34a8bfd517d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:05.425033Z digest=sha256:07511335043e66db4e0646cd685bd2dc112e87bf3e1adaf1004066793b9d8c3b

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:e9e3bd1e834ee98a66e2f168e53b0883fa66a5c6e0ee7a8c981654f932687542

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:06.011790Z digest=sha256:a21dc6bd7d8876013d20c864358922131b45c705fa6c1622c15f77b4102227c3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:06.758599Z digest=sha256:00ee863f6fb8de9d633c2aed37555b2ac152d1695269bd75f8db931f559b30a7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:07.280698Z digest=sha256:1d6bd38bdfb76d91c473471c7d7fad20d5ad90c63f6fb3e68d9a862bbb0fbbc4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:07.483748Z digest=sha256:d75a62fadc27aca48b5961a6f5996f63de07f4e1533efda65937e9a53f249b9b

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 2026-08-09T06:31:02.800959+00:00.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:07.813485Z digest=sha256:25413f74a7ac96d5ff4d2f9405cc1130c439bdedb96ca6d880d2776b929a1f5f

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:07.987211Z digest=sha256:5aa2a6360def272f5e8612558cfe38f735efacba8c7efe14012ce78154aed663

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

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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

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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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:08.598237Z digest=sha256:022ad8d96877e7b42261b1fa249dd96dc61f37c21b2f5019230bc4c9e561e97f

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:08.604164Z digest=sha256:51941dc8fc159f9cd6795a6423d17327929287c59d7e4c553aee38764873fc93

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:08.607171Z digest=sha256:ed7b80a97c5b8812c424ec73e77ea299f2b56807371d951f8218568cbbd4e3d6

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

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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=sha256:4a3ae681789a17131f2f07466b909103a73fedcac464affe39d7bc6e493d5471

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:08.650206Z digest=sha256:44683099040983e9891ecd6f7678050bd9ed74d03bdf55f90e4a67faff8c1495

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:20:08.788471Z digest=sha256:b041de311fdd4404a0836b789e61440149e4ca28f6a086f1a03bf4ca1803f4b2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T19:28:41.763670Z digest=sha256:bd887cadff50378eef3de06dd2c168771b12361e4e7bb39c47d763ff1b81c722