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Paper Citation Record · LEDGER

How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural Networks

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.09000.

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

pith.paper-citation-record.v1
2006.09000 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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:34:37.115554Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T06:14:40.930669Z

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 c4a54542-0a89-4dde-af76-94f81d06e9c3 · inbound

A Unified Framework for Uncertainty-Aware Explainable Artificial Intelligence: A Case Study in Power Quality Disturbance Classification cites this paper.

A Unified Framework for Uncertainty-Aware Explainable Artificial Intelligence: A Case Study in Power Quality Disturbance Classification How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural Networks

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:14:40.932991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T06:14:38.334059Z digest=sha256:71fd925d1bca036bc8230c4c9b435c73008c1e608f72076a91d7c6b43c47d363

Observation f5a3102a-87b9-41ba-95b3-3c66519cebd0 · inbound

A Unified Framework for Uncertainty-Aware Explainable Artificial Intelligence: A Case Study in Power Quality Disturbance Classification cites this paper.

A Unified Framework for Uncertainty-Aware Explainable Artificial Intelligence: A Case Study in Power Quality Disturbance Classification How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural Networks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T13:34:37.115554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:34:37.115554Z digest=sha256:af75cf3296ffa96b25b74c43da1e585341b51e5bbd27cc971a7cb5bbf01532cd