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Paper Citation Record · LEDGER

ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.08501.

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

pith.paper-citation-record.v1
2401.08501 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:40:43.824240Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:38:16.315248Z

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 b5c0bf0f-9241-4e1d-a053-98761000e929 · inbound

Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction cites this paper.

Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T05:40:43.824240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:40:43.824240Z digest=sha256:07918c03971a511d4bd3effc7774799dd3cd392e8b0f69cfe1e5a36e6243de5e

Observation 03a981a0-cff3-471e-9849-fe76ab501457 · inbound

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation cites this paper.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:38:16.319949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T05:38:16.242631Z digest=sha256:cadeb67dcd4a298dac1e0891f109a2e9d9146c2e11460019e2678504a1741bf4