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Paper Citation Record · LEDGER

Sobolev Regularized MMD Gradient Flow

As of 2 August 2026, this Paper Citation Record lists 100 of 173 outbound references and 3 inbound Pith citation observations for arXiv:2605.11884.

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

pith.paper-citation-record.v1
2605.11884 v1

Coverage vector

measured 100 of 173 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T05:56:13.862153Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-02T06:30:47.504484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:49:34.619818Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-29T14:43:30.617586Z

Reference resolution

100 of 173 outbound references displayed

  • verified exact2
  • verified fuzzy86
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 14c5ebfb-1a0e-41da-ab08-b435ac398597 · outbound

This paper cites Differential inclusions in.

Sobolev Regularized MMD Gradient Flow Differential inclusions in

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 880c6841-0e63-4e92-99b3-d7937400bc8a · outbound

This paper cites Journal of Machine Learning Research , volume=.

Sobolev Regularized MMD Gradient Flow Journal of Machine Learning Research , volume=

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 6aff669d-1b8d-4521-981e-a7a8f6c54b9d · outbound

This paper cites A kernelized.

Sobolev Regularized MMD Gradient Flow A kernelized

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 73c9008d-1cc8-471d-92ba-f0ee124932e7 · outbound

This paper cites International conference on machine learning , pages=.

Sobolev Regularized MMD Gradient Flow International conference on machine learning , pages=

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 9741efcf-67c6-425b-bdb4-f9f3f05f9628 · outbound

This paper cites Sutherland and Michael Arbel and Arthur Gretton , booktitle=.

Sobolev Regularized MMD Gradient Flow Sutherland and Michael Arbel and Arthur Gretton , booktitle=

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 6b4c5819-a659-45c2-9693-830731407767 · outbound

This paper cites Improved training of.

Sobolev Regularized MMD Gradient Flow Improved training of

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation e15893be-7d73-4c04-80fd-f674160cf798 · outbound

This paper cites Advances in applied probability , volume=.

Sobolev Regularized MMD Gradient Flow Advances in applied probability , volume=

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation ec3bb27e-b5ee-4871-a485-fcd6326c218f · outbound

This paper cites an unresolved cited work.

Sobolev Regularized MMD Gradient Flow Unresolved cited work

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 4425f373-8298-4747-9ee5-d90b936388ea · outbound

This paper cites Foundations and Trends in Machine Learning , volume=.

Sobolev Regularized MMD Gradient Flow Foundations and Trends in Machine Learning , volume=

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 816a9ed7-4901-4718-ac33-e853edf7f394 · outbound

This paper cites Annealed.

Sobolev Regularized MMD Gradient Flow Annealed

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 8e1e3ce7-233d-4a8d-a211-cb1e69afacc6 · outbound

This paper cites Advances in neural information processing systems , volume=.

Sobolev Regularized MMD Gradient Flow Advances in neural information processing systems , volume=

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 69fca84f-e53b-4a46-a8fc-130ddb4deb67 · outbound

This paper cites Using the.

Sobolev Regularized MMD Gradient Flow Using the

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation bb110436-7ad0-4a22-aa75-0f92e74be441 · outbound

This paper cites International Conference on Machine Learning , pages=.

Sobolev Regularized MMD Gradient Flow International Conference on Machine Learning , pages=

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 1491b6ba-4c6c-4c88-9785-a41c5a707346 · outbound

This paper cites Scattered Data Approximation , publisher=.

Sobolev Regularized MMD Gradient Flow Scattered Data Approximation , publisher=

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:d7dd33361c2fb7b064eca56b439b643466ee47ba085a069681fd388a9a23cce6

Observation 87029a08-5d96-4722-baad-b2ad611fd6e2 · outbound

This paper cites 2013 , publisher=.

Sobolev Regularized MMD Gradient Flow 2013 , publisher=

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:1a1b161a2807817fa4c05089f329b798eb7ab587ec7ec71a3054427809c919ca

Observation 5b204501-acbb-4902-8ddf-21c396935f34 · outbound

This paper cites Mirror and preconditioned gradient descent in.

Sobolev Regularized MMD Gradient Flow Mirror and preconditioned gradient descent in

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 84ed2437-a87e-4e13-b33d-c81e198af565 · outbound

This paper cites Improved Finite-Particle Convergence Rates for.

Sobolev Regularized MMD Gradient Flow Improved Finite-Particle Convergence Rates for

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 95f32f39-418c-4fe9-a3f7-2a7dac7ef89a · outbound

This paper cites Annals of Mathematics , volume=.

Sobolev Regularized MMD Gradient Flow Annals of Mathematics , volume=

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 229cb751-b229-470e-8495-239a45c2c38b · outbound

This paper cites Convex analysis of the mean field.

Sobolev Regularized MMD Gradient Flow Convex analysis of the mean field

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 6c290b2c-f38d-464c-9ac4-6e833c48d565 · outbound

This paper cites 2014 , publisher=.

Sobolev Regularized MMD Gradient Flow 2014 , publisher=

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 789e0bf6-46e3-49b7-8a0c-743b0d4f3a1e · outbound

This paper cites 2017 , editor=.

Sobolev Regularized MMD Gradient Flow 2017 , editor=

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 5bbe455b-74b8-420f-9e23-2956439942d5 · outbound

This paper cites On gradient regularizers for.

Sobolev Regularized MMD Gradient Flow On gradient regularizers for

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation dc72a6fd-759b-406d-a929-c1ac6f373c18 · outbound

This paper cites Large Scale.

Sobolev Regularized MMD Gradient Flow Large Scale

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 9725d052-145c-464b-a42a-8803b4862a15 · outbound

This paper cites SIAM Journal on Mathematics of Data Science , volume=.

Sobolev Regularized MMD Gradient Flow SIAM Journal on Mathematics of Data Science , volume=

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation b1f12426-e5c9-4baf-9a16-d0c4768234cc · outbound

This paper cites Kernel Approximation of Fisher-Rao Gradient Flows.

Sobolev Regularized MMD Gradient Flow Kernel Approximation of Fisher-Rao Gradient Flows

Reference 25

Resolution
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arxiv_id, observed 2026-05-13T05:57:22.600358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 4b5db717-8675-4e10-9ddf-592879ea164f · outbound

This paper cites Inclusive KL Gradient Flows: Otto-Wasserstein, Fisher-Rao-Gaussian, and Local-Estimator Dynamics.

Sobolev Regularized MMD Gradient Flow Inclusive KL Gradient Flows: Otto-Wasserstein, Fisher-Rao-Gaussian, and Local-Estimator Dynamics

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-07T02:18:23.053178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 11e86687-ae89-4d77-9872-092b19a5ddf1 · outbound

This paper cites User-friendly guarantees for the.

Sobolev Regularized MMD Gradient Flow User-friendly guarantees for the

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 587db042-e744-424f-8cb2-e01dcf59f178 · outbound

This paper cites Bounding the error of discretized.

Sobolev Regularized MMD Gradient Flow Bounding the error of discretized

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.095633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation df8004bf-63f2-4f55-a5f4-b94f4a7d571d · outbound

This paper cites Further and stronger analogy between sampling and optimization: Langevin.

Sobolev Regularized MMD Gradient Flow Further and stronger analogy between sampling and optimization: Langevin

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 9cbacafa-780a-4342-b6d7-f2a52c343a4d · outbound

This paper cites Wasserstein gradient flows for.

Sobolev Regularized MMD Gradient Flow Wasserstein gradient flows for

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 723eb7ad-b6df-4d87-8419-53587344a5ca · outbound

This paper cites Denoising Diffusion Probabilistic Models , volume =.

Sobolev Regularized MMD Gradient Flow Denoising Diffusion Probabilistic Models , volume =

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.069395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

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Observation 6ab1fe02-af5e-446b-907c-3daf129be000 · outbound

This paper cites The Annals of Statistics , number =.

Sobolev Regularized MMD Gradient Flow The Annals of Statistics , number =

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.088845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:2b134b9ac92355b3f8a96de53eb9e4bae04695efcf98c0b80da5173eea7adf5a

Observation d281234e-fa22-4ab9-8d85-f8525076f007 · outbound

This paper cites Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat.

Sobolev Regularized MMD Gradient Flow Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.152144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:b47c64216d65b06190caee0394290d6e765b5f5ae71c00dbc1aca56561bd33bd

Observation 21ea2ed2-432a-47d4-9483-74b13964a95c · outbound

This paper cites Journal of Machine Learning Research , volume=.

Sobolev Regularized MMD Gradient Flow Journal of Machine Learning Research , volume=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.213356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:ee008102ec592c6979771985b28db7f77aefeb613aa72ec70f66832266727976

Observation a7501b81-b3e6-49ae-b798-220308357f01 · outbound

This paper cites On the global convergence of.

Sobolev Regularized MMD Gradient Flow On the global convergence of

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.305090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:8fd9eae894cb8c317c98253ee87126a6ad871a6bb72e0a823885d07ead8d3188

Observation 7b40e182-3734-4d59-8d9a-afff303465c7 · outbound

This paper cites Wasserstein steepest descent flows of discrepancies with.

Sobolev Regularized MMD Gradient Flow Wasserstein steepest descent flows of discrepancies with

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.169670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:8d96108778b6ad13397af97e746a40de4b56aa3cb10eb4401c90ff49b8e3d6b2

Observation 8b406e6e-4f6f-4a57-83eb-d6b3401df96a · outbound

This paper cites International Conference on Learning Representations , year=.

Sobolev Regularized MMD Gradient Flow International Conference on Learning Representations , year=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.269109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:1d4edc43eb84aca3e996a746bedf785a47be5b41f662f0634e205a8f647114ac

Observation 89f62992-4eed-4166-918c-d05421135f63 · outbound

This paper cites Fourth Symposium on Advances in Approximate Bayesian Inference , year=.

Sobolev Regularized MMD Gradient Flow Fourth Symposium on Advances in Approximate Bayesian Inference , year=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.196906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:ed43694b2b79b300861c0dfb1e6a3d428b7dd40e33ba33599f27e47caf6d1c17

Observation 323a54a1-d697-4626-98c5-679a665b2580 · outbound

This paper cites International Conference on Machine Learning , pages=.

Sobolev Regularized MMD Gradient Flow International Conference on Machine Learning , pages=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.079530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:a9f9fe05bddb73891375d762f007a44335a682900d96366e490a4f384bbe158f

Observation 8bf6087f-b5ef-48bf-ab3f-72efe843e6df · outbound

This paper cites An almost constant lower bound of the isoperimetric coefficient in the.

Sobolev Regularized MMD Gradient Flow An almost constant lower bound of the isoperimetric coefficient in the

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.185048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:1b16ae137ed970a00a1d80bf2f30e66c9fa071449696466df6c4f499bc0ee8ce

Observation 40c2fa14-7f64-4594-b8f5-7a10251338ee · outbound

This paper cites Journal of Machine Learning Research , volume=.

Sobolev Regularized MMD Gradient Flow Journal of Machine Learning Research , volume=

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.294394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:bed2081b770ddc913770fc01fe3851a92297571a90fe074f829ec623134a3529

Observation 6e7e819f-da7a-410f-9e3e-8d3a66c34087 · outbound

This paper cites Transactions of the American Mathematical Society , volume=.

Sobolev Regularized MMD Gradient Flow Transactions of the American Mathematical Society , volume=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.171461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:118049ac74ff32776f973884fd235ddabbb264f781e9af495503f80984ec38bc

Observation b283a7cd-cbf4-41ac-b900-2cb6ad58a1dc · outbound

This paper cites 2004 , journal=.

Sobolev Regularized MMD Gradient Flow 2004 , journal=

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.203471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:8141caa59b2a43ceb647b0cbf768c44a040e4ea7bf66f423e8c35b6fb88d32bc

Observation 6228c610-63b7-46ac-a133-26f5c1e59497 · outbound

This paper cites and Salim, Adil and Zhang, Shunshi , booktitle=.

Sobolev Regularized MMD Gradient Flow and Salim, Adil and Zhang, Shunshi , booktitle=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.265322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:c83e25021446566f6a9ed30914de079b707c9dae3997e044bf4a025af9c921b3

Observation e8491ff5-4606-41c8-9973-8bf1abd5fb4b · outbound

This paper cites The 22nd International Conference on Artificial Intelligence and Statistics , pages=.

Sobolev Regularized MMD Gradient Flow The 22nd International Conference on Artificial Intelligence and Statistics , pages=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.296274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:b4458f6024c866f37a06f45421e06be4f356630ffb83f2bc514c41ff9b6988cd

Observation 25cb652b-d74b-4e2a-b876-2cebf9a8beb3 · outbound

This paper cites 2024 , howpublished =.

Sobolev Regularized MMD Gradient Flow 2024 , howpublished =

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.288704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:d8f87fda67bb794f67213f4cb3fae56f0bdd11f2b02c48553dea5a2ebb91cff8

Observation 971a4a76-6c9c-4c59-b8ea-e72d1b74d65a · outbound

This paper cites Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence , pages=.

Sobolev Regularized MMD Gradient Flow Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence , pages=

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.310002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:d2b963b22d9300ddcfebe44131e9c0690052966292c8702a83d5325abf5e10b1

Observation 6e0dab96-e553-4024-80c9-428eb3ee4706 · outbound

This paper cites Conditional.

Sobolev Regularized MMD Gradient Flow Conditional

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.150022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:d3e2b704f3a9bc2a128f592a2390db61ca60f6bc70aff8e4de9d4df9baa3c0b8

Observation 6128ed0c-2521-4825-a838-ea8308f06951 · outbound

This paper cites 2014 , publisher=.

Sobolev Regularized MMD Gradient Flow 2014 , publisher=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.165909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:5678c8cab822765f340d3cbf72e8f93c7162e3a1e40910aec0badbdbbcf56591

Observation 1d5bf820-c3be-4ecd-a91d-15a01ab27ea3 · outbound

This paper cites Philosophical Transactions of the Royal Society A , volume =.

Sobolev Regularized MMD Gradient Flow Philosophical Transactions of the Royal Society A , volume =

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.086060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:88395e3086305cea6de73f9621a2960e171d2bc325a16dbf4d1cc5f4f94eea61

Observation 633331bf-28af-479e-9d6e-ef42853a49c0 · outbound

This paper cites Lecture Notes of the 18th International Internet seminar, version , volume=.

Sobolev Regularized MMD Gradient Flow Lecture Notes of the 18th International Internet seminar, version , volume=

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.178636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:15ff3652f94fa72e4094238b1abf7765953fbcdae78e26f7712d02cfb3008c56

Observation 80ce711b-b4ab-457f-bb71-9e9a743d80a7 · outbound

This paper cites journal=.

Sobolev Regularized MMD Gradient Flow journal=

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.201776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:46c3d5f14d24e6812a8b548de441fac0dbb5edba4743facc936433b1fdd7256a

Observation 07d53f80-dd8f-4b99-83ce-3a36d2fa468c · outbound

This paper cites 2012 , publisher=.

Sobolev Regularized MMD Gradient Flow 2012 , publisher=

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.283559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:91d416030b9df1454144364536b225b0776fe2476f91312929e5592b9c4feef4

Observation a3b0cddc-a652-41cd-8b25-db405f626fff · outbound

This paper cites Quantita- tive convergence of wasserstein gradient flows of kernel mean discrepancies.arXiv preprint arXiv:2603.01977.

Sobolev Regularized MMD Gradient Flow Quantita- tive convergence of wasserstein gradient flows of kernel mean discrepancies.arXiv preprint arXiv:2603.01977

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:57:22.608590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:2688d040412697147854484ec398d983012854ec16f6f5b5307974fb9e7b70bf

Observation fb61ead0-79ce-4f0f-b6bd-10f428043857 · outbound

This paper cites an unresolved cited work.

Sobolev Regularized MMD Gradient Flow Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-05-13T09:47:34.180189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:b4e296844382100084a4009ce22e0bc9fe9e19e2fe8000e5e3beec4968fa6b08

Observation 23929d3e-0ebc-459c-b1cb-9b512d965f4e · outbound

This paper cites Wasserstein gradient flows of.

Sobolev Regularized MMD Gradient Flow Wasserstein gradient flows of

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.121276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:f0b6854e76c07ab9aa41d47094c90165bb3520b1076f356ecef7c6ee1e2af28a

Observation d1a967c2-b262-49a7-9360-f23a49b2db98 · outbound

This paper cites Posterior Sampling Based on Gradient Flows of the.

Sobolev Regularized MMD Gradient Flow Posterior Sampling Based on Gradient Flows of the

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.160027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:78263bcd3b7600cf0e0c5550be49f0a5c096c8a13d2c2e78d235c122de0c02f8

Observation e85fed5a-b776-4bae-ab3f-a073316b6c07 · outbound

This paper cites Controlling moments with kernel.

Sobolev Regularized MMD Gradient Flow Controlling moments with kernel

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.137214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:6de9df9e67524652b7630317b44b3098fad692c8983c6e83b46bec215f65ea06

Observation 157629cc-553d-4b37-b4a4-8d94649d20ef · outbound

This paper cites an unresolved cited work.

Sobolev Regularized MMD Gradient Flow Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-05-13T09:47:34.217137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:6465d0777380ddee40f586e698d14e371b11c119b1031bb4b232af37d10814c9

Observation 2b7f7ef6-67c6-4a18-9892-9f514fc3fe34 · outbound

This paper cites How to train your neural.

Sobolev Regularized MMD Gradient Flow How to train your neural

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.200175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:55ab6885f1891805545e77d7c29cc7466b4c6617993cd3c9c2104745df8acecb

Observation acb2c786-0948-4199-8be3-3532c9809f58 · outbound

This paper cites Minimax optimal goodness-of-fit testing with kernel.

Sobolev Regularized MMD Gradient Flow Minimax optimal goodness-of-fit testing with kernel

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.263434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:ffcde794252cad5c09729ab461b74e1ea991cfab44024f28bfa7f285102cb326

Observation dcb956e8-7db3-487a-a80c-607d27ee24d0 · outbound

This paper cites Advances in neural information processing systems , volume=.

Sobolev Regularized MMD Gradient Flow Advances in neural information processing systems , volume=

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.237155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:c195dfa2a68b15f7913d8f7d207e93b9025f671b405c1f2a123523130ee7e7ed

Observation 8888b41c-912d-4b6b-a120-4e3465c461d5 · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

Sobolev Regularized MMD Gradient Flow The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.064364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:cbc6fd0e6769dce8f334d426db550ec0c786ea8ad53a88af947b55242d15dba7

Observation ce9d45a9-d1b4-44c4-b8f8-fe8f0a06495d · outbound

This paper cites REVERSE DIFFUSION.

Sobolev Regularized MMD Gradient Flow REVERSE DIFFUSION

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.325541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:e2594bc5bf785ae585a7675fa56cfa4bc1472a4a7b1682199c6774eaddaf46c3

Observation 1c81d513-a2af-4f30-9465-ad9063469d4e · outbound

This paper cites International Conference on Learning Representations , year=.

Sobolev Regularized MMD Gradient Flow International Conference on Learning Representations , year=

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.286271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:2efd37ba2f0e3f7caf8cb8eeb4481951c299b00e74d81fbe5d380a7ed2eee28e

Observation 5cd9b02e-8539-4266-96e7-0ec5b354ba66 · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

Sobolev Regularized MMD Gradient Flow Forty-second International Conference on Machine Learning , year=

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.211588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:1d841a9484972e9c4fc20580a34ce90e0a42e8f6cc1ce3e217ef6f4b3a1429f9

Observation eb147de7-f352-4f3e-9bdc-8119d992bd64 · outbound

This paper cites Towards optimal.

Sobolev Regularized MMD Gradient Flow Towards optimal

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.228967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:62b45f22b62da1fb281f420777e093ccde85c9b3a0d1dcb2e9204a6c46d52978

Observation d2a5dc05-1a44-4709-a862-22f223cf4b1c · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Sobolev Regularized MMD Gradient Flow Advances in Neural Information Processing Systems , volume=

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.111907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:3a914ff54fa612b11d3011568750430c40fc393f5c99afdfd16ea89fd48483ad

Observation f9df9f9a-5e87-461c-8f3d-5a97a0dd552f · outbound

This paper cites On converse and saturation results for.

Sobolev Regularized MMD Gradient Flow On converse and saturation results for

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.317616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:14098b03eb8b62c2011259d986875097a79fec20197d2b6f3a9c1f0487573dcc

Observation 414fd6da-a761-46f6-b507-f045fc48d97b · outbound

This paper cites 2024 , note =.

Sobolev Regularized MMD Gradient Flow 2024 , note =

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.055829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:5b02b4d62f34effde25077b86762b2c7e061db23347f87d776bbdb7a85bb6993

Observation 32195e4d-5e97-4458-8a01-610bd573a26c · outbound

This paper cites an unresolved cited work.

Sobolev Regularized MMD Gradient Flow Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-05-13T09:47:34.195233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:015a5ff701466f144938894428b49943036217e97477805a8c6c2d2152281298

Observation 28e1ed73-ce28-474a-b787-c72d1308869d · outbound

This paper cites On the convergence of gradient descent in.

Sobolev Regularized MMD Gradient Flow On the convergence of gradient descent in

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.123175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:dfbfe1ce1cad9ef57076dda9cc21539ff30927e1ca6487b55e7745fd83ebd7b4

Observation b3b86795-95b0-4fe9-b73d-e763ffc73083 · outbound

This paper cites Unbalanced.

Sobolev Regularized MMD Gradient Flow Unbalanced

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.322931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:c8fd51587d26759553a32001410d5624b422907fd9988733d33494d68e7c3633

Observation 636bf19e-0a90-4486-be44-944206b1433d · outbound

This paper cites Towards a complete analysis of.

Sobolev Regularized MMD Gradient Flow Towards a complete analysis of

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.290836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:9bbc6a998dc7563e14dadd898624e43b71d074951a938baa6d0cb32c6bec1d10

Observation d053ce49-7922-437f-9eb4-d09fccd59af3 · outbound

This paper cites an unresolved cited work.

Sobolev Regularized MMD Gradient Flow Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-05-13T09:47:34.303108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:dc228a7128a0f2fc217e6ab79e0dc132c6cf21858c3dac89dd24469c4823b7ec

Observation 0fc4b675-28dc-43b1-9971-e039e4cb97f5 · outbound

This paper cites an unresolved cited work.

Sobolev Regularized MMD Gradient Flow Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-05-13T09:47:34.241935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:ddd6f9a296d09fb91169ef2300a09e3ed316fa18467c40e536a430eb15c80a91

Observation 6cf72ccb-49c5-4ba4-9b74-044cdf340ca0 · outbound

This paper cites Rapid convergence of the unadjusted.

Sobolev Regularized MMD Gradient Flow Rapid convergence of the unadjusted

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.232273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:719b2f9a69fe13d10ab10d74281ee64d1ec8714ad6180df53f9c9ad2e82291e8

Observation 9a0c4e6c-1cce-4f93-826a-8264298b7cd1 · outbound

This paper cites 2004 , publisher=.

Sobolev Regularized MMD Gradient Flow 2004 , publisher=

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.081321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:053b13c3c2999fc43c9489362b4a675017937e591ac9ab2d7544f9b52faad206

Observation eda76099-9932-450b-a7a1-6a8c2866c9c2 · outbound

This paper cites an unresolved cited work.

Sobolev Regularized MMD Gradient Flow Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-05-13T09:47:34.139301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:a470eab76aa8a8be79fb4dd61a7d2da3397470c4fcdcc85d5313cffa5d87b727

Observation 1c89b44b-27b4-487c-b45b-645dc49de514 · outbound

This paper cites 2013 , publisher=.

Sobolev Regularized MMD Gradient Flow 2013 , publisher=

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.230664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:a62bea2d2da01dc8c3cb58739d97dd3c7cad109e79c3de472fc97855c2c79685

Observation 63843847-b2c6-4ca8-a87d-461267788527 · outbound

This paper cites 2020 , publisher=.

Sobolev Regularized MMD Gradient Flow 2020 , publisher=

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.084455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:bb1b6811fac7a7b95f3a1b4526640e3686184ea9f0c312207fa1f4a4ca6a1732

Observation 21da2474-6826-434e-8cf9-249628cb7587 · outbound

This paper cites IEEE Transactions on Information Theory , volume=.

Sobolev Regularized MMD Gradient Flow IEEE Transactions on Information Theory , volume=

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.173717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:67a5c485142e1f984b6e436c75dfcdea0300cab6a2e78e7a8ae535fed62a9593

Observation 41e0d048-63c9-4dc6-862b-1a84c126b7e7 · outbound

This paper cites an unresolved cited work.

Sobolev Regularized MMD Gradient Flow Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-05-13T09:47:34.191649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:3fb0c3f4b0669fff3e81c040d09a5c13f2645f40f829b2fc46f62ecd82c9c9e9

Observation f01b14ef-d77f-44a6-bba6-17a89d764bca · outbound

This paper cites an unresolved cited work.

Sobolev Regularized MMD Gradient Flow Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-05-13T09:47:34.215430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:e2acf8ada6c88e152c463934d950d50591cf7851983d70b5248503db91633fa3

Observation 2ec3d7ad-296e-4d68-a506-da9ff0fbab11 · outbound

This paper cites Bernoulli , pages=.

Sobolev Regularized MMD Gradient Flow Bernoulli , pages=

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.335155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:ae5cc6060dfdde9f0c6aa504ed013309ae041d4e46523ea8cf9a9a4fbb1f0551

Observation 3c5ebca8-f95d-4d7a-8a02-4820a26ea8c1 · outbound

This paper cites Learning.

Sobolev Regularized MMD Gradient Flow Learning

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.308221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:a9f0fa44de37535cf30f2ecd57494516062a62e9cdeac266f27e47a13fdae607

Observation 6d8b3ea6-df0e-40fc-87f6-281cf0cec53f · outbound

This paper cites International Conference on Scale Space and Variational Methods in Computer Vision , pages=.

Sobolev Regularized MMD Gradient Flow International Conference on Scale Space and Variational Methods in Computer Vision , pages=

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.316124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:ea5e6745606eb78577ad0a012cfa83c18aea4b8f04e0cc21e4d8ee82cf62f2fc

Observation 02d1fba0-6302-4e0f-ae6c-c69568bb1733 · outbound

This paper cites an unresolved cited work.

Sobolev Regularized MMD Gradient Flow Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-05-13T09:47:34.119461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:fffb7ce3f772ce118a0562af52a5faef22d858fadad8feb5dc304eb61463f81b

Observation 20b4e559-db6b-4fe0-a7ff-93231060235c · outbound

This paper cites Displacement interpolation using.

Sobolev Regularized MMD Gradient Flow Displacement interpolation using

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.189900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:6fcebdf3c1484840a1e0a9139fe5cc40257060c48cf7b5266aac4c8b1ec41612

Observation 701a291c-d967-434b-a5aa-811584e0a32b · outbound

This paper cites Generative Sliced.

Sobolev Regularized MMD Gradient Flow Generative Sliced

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.074514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:7052898e1e6f494e625c769f56cad1292f10cf137f7a5196b84afb32ec03bc40

Observation f13f0fc9-ef07-4724-8cd3-31a8df7d3cfc · outbound

This paper cites Learning generative models with.

Sobolev Regularized MMD Gradient Flow Learning generative models with

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.240393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:5690ff4c816d060cf8824b59115f52dc1b7b448b146f4058a622c24436596574

Observation 75247429-f061-4985-aa6a-d1e8982a9891 · outbound

This paper cites Unifying.

Sobolev Regularized MMD Gradient Flow Unifying

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.070928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:5111375ef1f3e3d18a50d0c587e541bc55ba33322f41a7361a6a2a54f9588f4d

Observation 977e1d48-c882-4d03-a2be-9b78b0257b31 · outbound

This paper cites Optimal thinning of.

Sobolev Regularized MMD Gradient Flow Optimal thinning of

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.297990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:f21fe45286a98756adcf90ad75102f056cd38df3cc709bdbb2f8e02542496f34

Observation a804867d-e5f7-4250-b358-18c37f3b0ebe · outbound

This paper cites an unresolved cited work.

Sobolev Regularized MMD Gradient Flow Unresolved cited work

Reference 94

Resolution
unresolved
raw_fallback, observed 2026-05-13T09:47:34.065996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:ae68a52727efbba3049020edce703aa99a326ef4422ab9c4185e58d2ea39121f

Observation 97053e5c-30a0-46c0-ac55-3e5f7091f6b9 · outbound

This paper cites Mathematics of Computation , year=.

Sobolev Regularized MMD Gradient Flow Mathematics of Computation , year=

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.188282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:87d94aec823ba85e5935edb5d42c773c325953991afe99276dc9a7d6661f7d82

Observation c39e67e0-eccf-455a-b3ff-e992ddd254f9 · outbound

This paper cites The variational formulation of the.

Sobolev Regularized MMD Gradient Flow The variational formulation of the

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.177032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:1603baefb78bad6e235852ae5aeb6f35a7778e42b9f75ebe91e62d1f74132853

Observation e8b2858e-9b28-425b-beed-a39181f57ce0 · outbound

This paper cites International Conference on Machine Learning , pages=.

Sobolev Regularized MMD Gradient Flow International Conference on Machine Learning , pages=

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.313119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:049e31f10d17dfb3adad86729be96fa89788146ca01d73c21e49f9071415585a

Observation bd5a104a-63c2-43ea-bad7-666f4979edd8 · outbound

This paper cites Journal of Differential Equations , volume=.

Sobolev Regularized MMD Gradient Flow Journal of Differential Equations , volume=

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.133060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:67dafceafca5cc5dd470fbe542906c4f73b080c2067cb7733882836a24e849b1

Observation 00fa2343-37d5-4b37-ab6e-ce505dd6a0b5 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Sobolev Regularized MMD Gradient Flow Advances in Neural Information Processing Systems , volume=

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.258283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:b66296a6a92f7f0c9e53259845e66faab7ad672d4082c0396fd573f26cbdb942

Observation 46bebb06-b1f8-4a13-9de7-3aac6265608e · outbound

This paper cites author=.

Sobolev Regularized MMD Gradient Flow author=

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:47:34.077880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=arxiv_source observed=2026-05-13T05:56:13.862153Z digest=sha256:bd5f5bf2437f234e27c8ce8b86b87687a18e45dc1891993163164bf7f633198c

Pith citing papers

Observation f6878d3f-f095-417e-86e8-bd791f20eb4c · inbound

Thinned Mean Field Langevin Dynamics cites this paper.

Thinned Mean Field Langevin Dynamics Sobolev Regularized MMD Gradient Flow

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-06-29T14:43:30.618994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-06-29T14:40:49.227377Z digest=sha256:4f5b956684c1c8a1fb1519cf709c2196737b285dd27027ca422024ecd3f588e1

Observation d8962ac0-7dbe-4f02-b60a-741251bc0ac5 · inbound

A Gradient Flow Perspective on Minimum MMD Estimation cites this paper.

A Gradient Flow Perspective on Minimum MMD Estimation Sobolev Regularized MMD Gradient Flow

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-11T23:22:05.432957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:22:05.432957Z digest=sha256:078d8c99e0a4ec6412f1ac34c3a9594d4d70e56088bd01ff0802b8a6e41b99ad

Observation 52cb2d76-4b94-4b66-8550-97d2f598d818 · inbound

Three-Body Scattering for Generative Modeling cites this paper.

Three-Body Scattering for Generative Modeling Sobolev Regularized MMD Gradient Flow

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-01T15:49:34.619818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:49:34.619818Z digest=sha256:41150e03c7dbb81c04c44d59b050bbfb262c0c1b968083f85cfbd0bffb2df385