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Paper Citation Record · LEDGER

On quantitative aspects of model interpretability

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2007.07584.

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

pith.paper-citation-record.v1
2007.07584 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:46:34.807079Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T20:52:59.082998Z

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 31ca74c8-d89e-44c6-8e93-db74596ef5ee · inbound

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution cites this paper.

VARSHAP: Addressing Global Dependency Problems in Explainable AI with Variance-Based Local Feature Attribution On quantitative aspects of model interpretability

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:46:34.807079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:46:34.807079Z digest=sha256:e75b8b235bb6eeed65ba62a7b799897cc03d090b9390e9ba70559aab12337998

Observation e4c36afb-b0c8-4170-82fd-e472d1ae29a7 · inbound

DeepFaith: A Domain-Free and Model-Agnostic Unified Framework for Highly Faithful Explanations cites this paper.

DeepFaith: A Domain-Free and Model-Agnostic Unified Framework for Highly Faithful Explanations On quantitative aspects of model interpretability

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T04:23:31.213967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:23:31.213967Z digest=sha256:50531a1713d946b6b1be3ffbfc910f265132d30af24600e1677bd1ea044d20ca

Observation 42a54886-5fe8-4fc3-b283-b1aa791c65a4 · inbound

Value bounds and Convergence Analysis for Averages of LRP attributions cites this paper.

Value bounds and Convergence Analysis for Averages of LRP attributions On quantitative aspects of model interpretability

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-04T20:01:05.432832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:01:05.432832Z digest=sha256:94b164ff59ca049a5814a0fb86be46c058816ae53e2e87e1163cabf89e70d19f

Observation fbb0555f-9ebe-42cd-972d-d69db894ec9b · inbound

Do Fair Models Reason Fairly? Counterfactual Explanation Consistency for Procedural Fairness in Credit Decisions cites this paper.

Do Fair Models Reason Fairly? Counterfactual Explanation Consistency for Procedural Fairness in Credit Decisions On quantitative aspects of model interpretability

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:52:59.085287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-14T20:50:02.096278Z digest=sha256:9a2e6fd86e03636378cd9cfece8e87455abd34b1d0056d867b8ec9c99f3884cc