Paper Citation Record · LEDGER

Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching

As of 13 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2608.00537.

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

pith.paper-citation-record.v1
2608.00537 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T00:49:59.599813Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

55 of 55 outbound references displayed

verified exact2
verified fuzzy4
unresolved48
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External citation measurements

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Outbound references

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This paper cites an unresolved cited work.

Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

Reference 1

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

Reference 2

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

Reference 8

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

Reference 9

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

Reference 10

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

Reference 11

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

Reference 12

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Observation c0a31007-99bf-430a-a101-f5db7677f76e · outbound

This paper cites Fast and Stable Diffusion Inverse Solver with History Gradient Update.

Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Fast and Stable Diffusion Inverse Solver with History Gradient Update

Reference 13

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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This paper cites an unresolved cited work.

Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

Reference 16

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

Reference 19

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Observation 6204b759-0c2d-4faf-bb4b-7ff96dd0f9d0 · outbound

This paper cites Auto-Encoding Variational Bayes.

Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Auto-Encoding Variational Bayes

Reference 20

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Observation 27e9a402-7116-457b-bcdd-8454acefe2e2 · outbound

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

Reference 25

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Observation a0867b98-5acd-46f2-a437-bad75e5cd5b8 · outbound

This paper cites FlowLPS: Langevin-Proximal Sampling for Flow-based Inverse Problem Solvers.

Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching FlowLPS: Langevin-Proximal Sampling for Flow-based Inverse Problem Solvers

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Metaxas, and Yezhou Yang

Reference 27

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching 2005.Inverse problem theory and methods for model parameter estimation

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching Unresolved cited work

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching a photo of a closed face

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching InProceedings of the Computer Vision and Pattern Recognition Conference

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Observation 88bf1388-c8e3-4ab9-b92b-ee43c72c5bca · outbound

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching InProceedings of the IEEE conference on computer vision and pattern recognition

Reference 2018

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Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching D-Flow: Differentiating through Flows for Controlled Generation

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This paper cites In The Thirteenth International Conference on Learning Representations.

Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching In The Thirteenth International Conference on Learning Representations

Reference 2025

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.