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Paper Citation Record · LEDGER

A review of predictive uncertainty estimation with machine learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.08307.

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

pith.paper-citation-record.v1
2209.08307 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:40:47.092118Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T16:51:47.978508Z

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 8cffd00c-ba7d-4c52-b257-814187efc65f · inbound

Non-stationary Diffusion For Probabilistic Time Series Forecasting cites this paper.

Non-stationary Diffusion For Probabilistic Time Series Forecasting A review of predictive uncertainty estimation with machine learning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-22T16:51:47.981749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T16:49:45.303500Z digest=sha256:021842b7b2267539bb40cf5589a0a0b5d065aaf82adbc063edfe4d249727ba83

Observation fd79e53c-352b-4d71-a917-4224cb1be6bb · inbound

RDIT: Residual-based Diffusion Implicit Models for Probabilistic Time Series Forecasting cites this paper.

RDIT: Residual-based Diffusion Implicit Models for Probabilistic Time Series Forecasting A review of predictive uncertainty estimation with machine learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T11:40:47.092118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:40:47.092118Z digest=sha256:4b940683ed719548570b0299954878d9dcf89d84b229635903fb426f5d6cec05