Paper Citation Record · LEDGER

Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2307.08123.

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

pith.paper-citation-record.v1
2307.08123 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:26:57.734687Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:34:39.259920Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0552f496-9a0f-4a32-9195-ad9770030e2b · inbound

ART-VITON: Measurement-Guided Latent Diffusion for Artifact-Free Virtual Try-On cites this paper.

ART-VITON: Measurement-Guided Latent Diffusion for Artifact-Free Virtual Try-On Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:26:24.759170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 00d38db8-216f-487d-b310-c603c34ec553 · inbound

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems cites this paper.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T11:16:19.082107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d25df624-c822-4572-bd4d-73b95483fc1e · inbound

q3-MuPa: Quick, Quiet, Quantitative Multi-Parametric MRI using Physics-Informed Diffusion Models cites this paper.

q3-MuPa: Quick, Quiet, Quantitative Multi-Parametric MRI using Physics-Informed Diffusion Models Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:13:32.311619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4da0b1eb-a87f-4467-ac49-2d40f346abf3 · inbound

Solving Inverse Problems with Flow-based Models via Model Predictive Control cites this paper.

Solving Inverse Problems with Flow-based Models via Model Predictive Control Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T06:26:57.734687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6a27eb9-5736-4803-bfc6-848a7ba5da1a · inbound

Conditional Diffusion Posterior Alignment for Sparse-View CT Reconstruction cites this paper.

Conditional Diffusion Posterior Alignment for Sparse-View CT Reconstruction Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:56:06.661372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 58d25d67-1c7f-459c-b354-e3bd525b9ff1 · inbound

Discrete Langevin-Inspired Posterior Sampling cites this paper.

Discrete Langevin-Inspired Posterior Sampling Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:26:26.331340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7538d2e7-ec73-4ae3-b8cb-29d95cf469d4 · inbound

Proximal-Based Generative Modeling for Bayesian Inverse Problems cites this paper.

Proximal-Based Generative Modeling for Bayesian Inverse Problems Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T17:57:33.528630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 78f14779-018f-40f5-90af-9516a6639acd · inbound

Longwang: Zero-Shot Global Spatiotemporal Precipitation Downscaling with a Latent Generative Prior cites this paper.

Longwang: Zero-Shot Global Spatiotemporal Precipitation Downscaling with a Latent Generative Prior Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-19T22:17:49.447849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1294e609-e540-40ff-80fc-f2ab11920c96 · inbound

Unbiased Diffusion Variational Inversion via Principled Posterior Matching cites this paper.

Unbiased Diffusion Variational Inversion via Principled Posterior Matching Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:34:39.261473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 10430e20-070c-45b2-b3d4-779e5a7809a9 · inbound

AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? cites this paper.

AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T16:43:40.133501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bad700b0-246a-4537-889b-1d9336044a6f · inbound

Provable diffusion-based posterior sampling for linear inverse problems via DDIM cites this paper.

Provable diffusion-based posterior sampling for linear inverse problems via DDIM Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-01T12:52:54.201163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.