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Paper Citation Record · LEDGER

The What-If Tool: Interactive Probing of Machine Learning Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1907.04135.

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

pith.paper-citation-record.v1
1907.04135 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:56:29.915961Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:34:04.614744Z

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 9f95aa82-3cc5-4939-b64e-b9ecb9a5182d · inbound

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases cites this paper.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases The What-If Tool: Interactive Probing of Machine Learning Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T21:56:29.915961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:56:29.915961Z digest=sha256:4909bf5be9e01cb3f5e4630d819729358d4e1282d4a4373b22f4b8eb4639ec79

Observation 3ac4d619-a65e-4eb3-ab57-27645713b016 · inbound

Deep learning inference with the Event Horizon Telescope II. The Zingularity framework for Bayesian artificial neural networks cites this paper.

Deep learning inference with the Event Horizon Telescope II. The Zingularity framework for Bayesian artificial neural networks The What-If Tool: Interactive Probing of Machine Learning Models

Reference 207

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T00:34:04.729944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-07T00:34:01.904983Z digest=sha256:07378e438591ddbb6d181ebf9b5bcfcedaf8776fee7ba5545fa6f0b3c25dcbda