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Paper Citation Record · LEDGER

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models

As of 9 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.03517.

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

pith.paper-citation-record.v1
2607.03517 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T01:56:57.493772Z

measured 27 of 27 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 648e8bf0-a5a6-42b1-8f99-b78865719115 · outbound

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

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 1

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Observation c2149a3f-6f57-43a8-a5a3-9942051cbd83 · outbound

This paper cites arXiv preprint arXiv:2502.00180 , year =.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models arXiv preprint arXiv:2502.00180 , year =

Reference 2

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source=arxiv_source observed=2026-07-12T01:56:57.493772Z digest=sha256:1d6a581a447c0866d38aa3eb54b3d2b324e1a4d2a9c4da1473acaf18cb0554f7

Observation 66298be5-396d-4d7d-baf1-d97901f7af54 · outbound

This paper cites Analyzing and Guiding Zero-Shot Posterior Sampling in Diffusion Models.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Analyzing and Guiding Zero-Shot Posterior Sampling in Diffusion Models

Reference 3

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source=arxiv_source observed=2026-07-12T01:56:57.493772Z digest=sha256:af87f21e9514352b2c32692e7167a58b5a06c891c47aceee97f4acacd44eae76

Observation cf4e26a3-7700-4ce9-8822-583f33eef4d7 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =

Reference 4

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source=arxiv_source observed=2026-07-12T01:56:57.493772Z digest=sha256:f1e2061a2fff2d436824081f62c518c34ebe5f2e0df34a0770f02c9c680619ed

Observation 723152e3-348c-4e0b-beb7-5efe5c35b470 · outbound

This paper cites Journal of Mathematical Imaging and Vision , volume =.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Journal of Mathematical Imaging and Vision , volume =

Reference 5

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source=arxiv_source observed=2026-07-12T01:56:57.493772Z digest=sha256:7dfd93cbdc509dc37656b52f293c141531486bcec2395e669586b68fd36c08b0

Observation 171dee3f-4323-4a34-9e89-87abdbcef7c5 · outbound

This paper cites McCann and Marc L.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models McCann and Marc L

Reference 6

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Observation d40e38ba-9410-4eda-adfc-726f59bebc79 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 7

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Observation 11345cc0-653e-4160-9804-09ad919363f7 · outbound

This paper cites an unresolved cited work.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-07-12T01:56:57.493772Z digest=sha256:e9fc9ef2e5982994bc23666701fef6ca625efc2c387c572ab9fbfd4fa3635471

Observation e451fa20-f999-420c-9415-285ba31ae9e7 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 9

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source=arxiv_source observed=2026-07-12T01:56:57.493772Z digest=sha256:f910919f050f43b60c623abbf70a1799d387f0f3ea0983408029fe2ce8476d58

Observation df333761-859e-4999-bcc0-02d55901555b · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 10

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source=arxiv_source observed=2026-07-12T01:56:57.493772Z digest=sha256:76390945b108be9196a486cc279dfd1771f48a89f07dbfce67fd5fb25a417dea

Observation 9f386058-49f1-4581-a16e-ec0211b5d3e3 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =

Reference 11

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source=arxiv_source observed=2026-07-12T01:56:57.493772Z digest=sha256:6e9a397e50a3a70295bebc6a99b78c9877ad6a5428ef9903a109a8189fb25260

Observation b84ebbd2-0318-44c7-bfe9-f8ba2a206733 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 12

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source=arxiv_source observed=2026-07-12T01:56:57.493772Z digest=sha256:b2dd033cacc045f4df76e518c4777c6ad6317bed7cb325a04822b87c6d6ff0eb

Observation 4f50d79c-285d-4d36-a23c-422b5fb912dc · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 13

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source=arxiv_source observed=2026-07-12T01:56:57.493772Z digest=sha256:91ac2ca14b7685651a246030a1902db833ccb7cecef21b5540bcb0c23ed7beea

Observation 908c3de3-c5bd-4b1a-b297-d39cb4de7bb2 · outbound

This paper cites Proceedings of the IEEE , volume =.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Proceedings of the IEEE , volume =

Reference 14

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source=arxiv_source observed=2026-07-12T01:56:57.493772Z digest=sha256:e31765fc3702f279ce8994a0198763983cc4e4e32ba92c8d78c47f5a47da2ff2

Observation afcd574e-ac21-4c6b-ba25-49e57828ecd2 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =

Reference 15

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source=arxiv_source observed=2026-07-12T01:56:57.493772Z digest=sha256:76dacde877fed945b81dc54331c63a7e0218179282fb3cc6fc6363b366964c75

Observation cb080848-ca34-49c2-926b-8529948a1474 · outbound

This paper cites Theodorou and Weili Nie and Anima Anandkumar , title =.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Theodorou and Weili Nie and Anima Anandkumar , title =

Reference 16

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source=arxiv_source observed=2026-07-12T01:56:57.493772Z digest=sha256:d2e72a6be67835921c434fa8d24c7f10e214aec03da0100cec2cc05687e6a9fb

Observation aebd296a-8323-4310-be62-d7ebdf887d88 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =

Reference 17

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source=arxiv_source observed=2026-07-12T01:56:57.493772Z digest=sha256:5d9d3b9aab43f628dff1c7071e02eabe3e7051f7709e2df2cb747f97e79fcdfc

Observation 13b5e9aa-22c6-45ba-95d7-a4c3ce7bb3b9 · outbound

This paper cites International Conference on Machine Learning (ICML) , year =.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models International Conference on Machine Learning (ICML) , year =

Reference 18

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Observation 94dac70c-f49e-49df-ac34-124fdeb9083c · outbound

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

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Foundations and Trends in Machine Learning , volume =

Reference 19

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Observation dc3573fa-a1e9-4baf-9ba4-26347e97db2c · outbound

This paper cites Electronic Communications in Probability , volume =.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Electronic Communications in Probability , volume =

Reference 20

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source=arxiv_source observed=2026-07-12T01:56:57.493772Z digest=sha256:a55132c2d3d08358817227050be38f6fb36d25ada4a12e9785975eb7726b273f

Observation bfd55fce-29a7-41bd-bccc-6e0f843549db · outbound

This paper cites Image Super-Resolution via Iterative Refinement.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Image Super-Resolution via Iterative Refinement

Reference 21

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Observation bdabb5fa-8ac2-4a65-925d-e28a754db265 · outbound

This paper cites Lee and Jonathan Ho and Tim Salimans and David J.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Lee and Jonathan Ho and Tim Salimans and David J

Reference 22

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Observation 6e657cc0-0dac-4522-bf77-8542b76885a3 · outbound

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

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models International Conference on Learning Representations (ICLR) , year =

Reference 23

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Observation 0f5638a4-a176-4e20-90a8-f04e655a17c9 · outbound

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

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models International Conference on Learning Representations (ICLR) , year =

Reference 24

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source=arxiv_source observed=2026-07-12T01:56:57.493772Z digest=sha256:69ef2d696ead98bb53645d1a6b20e897880d4ac114081f9a274dae9fbba07f92

Observation b68175a0-0e12-410a-82c2-433724d95ee8 · outbound

This paper cites Bovik and Hamid R.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Bovik and Hamid R

Reference 25

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source=arxiv_source observed=2026-07-12T01:56:57.493772Z digest=sha256:0e3377ca85d8d8fc3f567856d9049a42efc83d204d5a53a4bcc51073367561e5

Observation e0edf001-0a83-467b-9e85-d2e12267c1ba · outbound

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

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models International Conference on Learning Representations (ICLR) , year =

Reference 26

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source=arxiv_source observed=2026-07-12T01:56:57.493772Z digest=sha256:71a3a4830117767e7ea59be5427325c94c2be0f6e60ed42430b976d1b7834dbb

Observation a8b89a4b-8561-48cb-9b29-c050263bb725 · outbound

This paper cites Efros and Eli Shechtman and Oliver Wang , title =.

Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models Efros and Eli Shechtman and Oliver Wang , title =

Reference 27

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Pith citing papers

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