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Paper Citation Record · LEDGER

Calibration of Model Uncertainty for Dropout Variational Inference

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.11584.

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

pith.paper-citation-record.v1
2006.11584 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:17:50.420319Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:17:50.603964Z

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 ba260054-35fd-4987-9a3f-96e491ba7a52 · inbound

Uncertainty-aware Test-Time Training (UT$^3$) for Efficient On-the-fly Domain Adaptive Dense Regression cites this paper.

Uncertainty-aware Test-Time Training (UT$^3$) for Efficient On-the-fly Domain Adaptive Dense Regression Calibration of Model Uncertainty for Dropout Variational Inference

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:17:50.608288Z

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.

source=pdf_text observed=2026-08-05T11:17:50.420319Z digest=sha256:a5074afc1f8f02056aae94a03d3853bc95f514e2645ca5c6a6e258485334f36f

Observation 725f951b-352a-4630-9f33-279787a38a32 · inbound

Confidence-Uncertainty Boundary Calibration for Bayesian Deep Learning in Medical Image Analysis cites this paper.

Confidence-Uncertainty Boundary Calibration for Bayesian Deep Learning in Medical Image Analysis Calibration of Model Uncertainty for Dropout Variational Inference

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T00:02:03.771744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:02:03.771744Z digest=sha256:3e555ff56044f259f69d12efd3409c9afb8a27a48121c3f70870f53e5e2e8545