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Paper Citation Record · LEDGER

Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.03148.

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

pith.paper-citation-record.v1
2209.03148 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:55:40.754399Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T02:28:46.079766Z

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 ed890716-0c8f-4a7a-b853-6ddf05234889 · inbound

Uncertainty Quantification on Graph Learning: A Survey cites this paper.

Uncertainty Quantification on Graph Learning: A Survey Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:28:46.083010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-24T02:26:29.355957Z digest=sha256:4eb31f13abc9da06d1dde9f3c12053f4a0ad96bc7e2ad94af40644f710579dc5

Observation cfd9173e-f180-4289-a938-ba1e0b5ca945 · inbound

Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks cites this paper.

Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-09T11:55:40.754399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:55:40.754399Z digest=sha256:f27cd408d60267fdf7a1d55e2ea966516774caec43a957f7c5f30cbfdaebf99f