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Paper Citation Record · LEDGER

Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2405.13758.

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

pith.paper-citation-record.v1
2405.13758 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:37:32.924768Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T10:37:33.489806Z

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 1117e854-1dbb-486d-a4e4-6d811d5d2aa1 · inbound

Hierarchical and Multimodal Data for Daily Activity Understanding cites this paper.

Hierarchical and Multimodal Data for Daily Activity Understanding Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-16T10:37:33.495156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T10:37:32.924768Z digest=sha256:ae9131fd9aa226d9b76ddf5ca284506c134451de0ad78d3dfb94611698524e5b