Paper Citation Record · LEDGER

GSURE-Based Diffusion Model Training with Corrupted Data

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.13128.

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

pith.paper-citation-record.v1
2305.13128 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:53:25.693113Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:37:57.353809Z

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 1d319233-ce9b-4f40-a5ea-d422b1fa8a80 · inbound

Denoising Data with Measurement Error Using a Reproducing Kernel-based Diffusion Model cites this paper.

Denoising Data with Measurement Error Using a Reproducing Kernel-based Diffusion Model GSURE-Based Diffusion Model Training with Corrupted Data

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T23:05:16.211181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 628aa308-6636-47e7-bb95-22fa44fb1796 · inbound

Bootstrapping Diffusion: Diffusion Model Training Leveraging Partial and Corrupted Data cites this paper.

Bootstrapping Diffusion: Diffusion Model Training Leveraging Partial and Corrupted Data GSURE-Based Diffusion Model Training with Corrupted Data

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:25.693113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4149bb32-8d54-4536-b120-e75819b7cfd9 · inbound

Christoffel-DPS: Optimal sensor placement in diffusion posterior sampling for arbitrary distributions cites this paper.

Christoffel-DPS: Optimal sensor placement in diffusion posterior sampling for arbitrary distributions GSURE-Based Diffusion Model Training with Corrupted Data

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:30:59.815813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fae3f44f-ab84-4ed3-9a21-b933b6205d38 · inbound

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics cites this paper.

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics GSURE-Based Diffusion Model Training with Corrupted Data

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:37:57.355108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.