Paper Citation Record · LEDGER

Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.04718.

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

pith.paper-citation-record.v1
2408.04718 v1

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 2026-08-07T10:45:00.007572Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fa19a227-3936-4604-a01b-3e6c23047e8b · inbound

Using Ensemble Diffusion to Estimate Uncertainty for End-to-End Autonomous Driving cites this paper.

Using Ensemble Diffusion to Estimate Uncertainty for End-to-End Autonomous Driving Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:20:32.200052Z

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 34ca2852-48d8-46b1-b910-0689fd74794c · inbound

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth cites this paper.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:00.007572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 959f3c69-bdc5-4e02-bbde-b226df50733d · inbound

DAV-GSWT: Diffusion-Active-View Sampling for Data-Efficient Gaussian Splatting Wang Tiles cites this paper.

DAV-GSWT: Diffusion-Active-View Sampling for Data-Efficient Gaussian Splatting Wang Tiles Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-15T22:06:42.666336Z

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 67fbda43-8105-4d43-a4c6-862f979f7191 · inbound

DAV-GSWT: Diffusion-Active-View Sampling for Data-Efficient Gaussian Splatting Wang Tiles cites this paper.

DAV-GSWT: Diffusion-Active-View Sampling for Data-Efficient Gaussian Splatting Wang Tiles Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T22:57:10.998445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b45843f1-acd9-47c6-91d7-8c11f9565327 · inbound

DiffUNet^2: Bidirectional Prediction, Probabilistic Generation and Collaborative Visual Discovery for Scientific Data cites this paper.

DiffUNet^2: Bidirectional Prediction, Probabilistic Generation and Collaborative Visual Discovery for Scientific Data Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-28T08:11:49.461824Z

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 06acffe8-956d-4037-bf49-2098a914f1de · inbound

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors cites this paper.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-04T00:52:55.543953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.