Paper Citation Record · LEDGER

UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2409.01985.

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

pith.paper-citation-record.v1
2409.01985 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:32:47.602721Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T08:23:24.082731Z

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 4bb9b2d8-27a3-4f6e-b70a-c96360b56c92 · inbound

What is Adversarial Training for Diffusion Models? cites this paper.

What is Adversarial Training for Diffusion Models? UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T13:32:47.602721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13f94960-4ea6-4b20-baac-becfb9bca1fa · inbound

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting cites this paper.

Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T18:59:57.518117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69e0208b-fd54-4d30-bc06-5df17e25062d · inbound

Equivariance2Inverse: A Practical Self-Supervised CT Reconstruction Method Benchmarked on Real, Limited-Angle, and Blurred Data cites this paper.

Equivariance2Inverse: A Practical Self-Supervised CT Reconstruction Method Benchmarked on Real, Limited-Angle, and Blurred Data UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T03:25:49.123692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 56fefe82-0d44-46f6-a352-930411c7d001 · inbound

Perspective-Equivariant Fine-tuning for Multispectral Demosaicing without Ground Truth cites this paper.

Perspective-Equivariant Fine-tuning for Multispectral Demosaicing without Ground Truth UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:30:14.302531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 608a7866-e458-4fc8-84d7-50e57247109b · inbound

Self-Supervised Conformal Prediction with Equivariant Bootstrapping for Image Uncertainty Quantification cites this paper.

Self-Supervised Conformal Prediction with Equivariant Bootstrapping for Image Uncertainty Quantification UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-20T08:23:24.084916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a3b4e2bf-07c3-4a80-8019-4eda5e3fd159 · inbound

Domain Adaptation of Mismatched Proximal Denoiser for Plug-and-Play Image Reconstruction cites this paper.

Domain Adaptation of Mismatched Proximal Denoiser for Plug-and-Play Image Reconstruction UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T00:50:35.502461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.