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Paper Citation Record · LEDGER

On quantitative aspects of model interpretability

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:09:20.518100Z

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
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  • 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 9aff84ec-0f87-42e7-871a-c9c9f360ff1c · inbound

Establishing and Evaluating Trustworthy AI: Overview and Research Challenges cites this paper.

Establishing and Evaluating Trustworthy AI: Overview and Research Challenges On quantitative aspects of model interpretability

Reference 139

Resolution
unresolved
no resolver link, observed 2026-08-12T20:09:20.518100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:09:20.518100Z digest=sha256:24b0b5061762118620b637326dcc3c2155f8952702c18f83979855aa27821a69

Observation 596d1a4a-7fab-40fc-9e76-28e731e2d6ad · inbound

From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation cites this paper.

From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation On quantitative aspects of model interpretability

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T20:38:59.121077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:38:59.121077Z digest=sha256:559e5a8ea6ab168ac40a90d80b4c2a8a54f02f6f06f21cf8a7c089e2edd62c06

Observation 74d81d91-12f3-4483-9086-ae3f733eb68e · inbound

Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation cites this paper.

Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation On quantitative aspects of model interpretability

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T17:11:11.254259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:11:11.254259Z digest=sha256:075fe9b5385567e3b64077a752afba802ec654f4e8cb1f9a44e125e039719506

Observation 67b69f3b-3d7b-41ac-99f0-29efb10e7105 · inbound

Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry cites this paper.

Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry On quantitative aspects of model interpretability

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T23:15:09.253205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:15:09.253205Z digest=sha256:11873b1e4fb356b10104847f9ba070a12ea404bb14ce4fdb931dd7db4d24faed

Observation 9e850dd5-53f0-47d0-a174-d48d750bcf92 · inbound

Explainability for Vision Foundation Models: A Survey cites this paper.

Explainability for Vision Foundation Models: A Survey On quantitative aspects of model interpretability

Reference 230

Resolution
unresolved
no resolver link, observed 2026-08-10T17:26:35.883079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:26:35.883079Z digest=sha256:a83d64226f1110773cfb9e61d764a8a169a18293b44f8f1ae7b5b7fd6de15040

Observation f08c70ed-25ab-4bd5-9901-6fee59f1e353 · inbound

Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI cites this paper.

Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI On quantitative aspects of model interpretability

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T15:02:00.983770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:02:00.983770Z digest=sha256:a2a9fe319289251d9ac2b764ccb3399080aeaeed85e598c2f6503ba13b9ece77

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:de3655eb2a166a1069d07bcc2b74d9040c9ac0da65566947db9da15f4dab181f

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:d719baf1a41fd94853d40099c913a6a8f7be0d2457afaa4e5570f0f45fdbb3a8

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:be12ed86930e8f8e331d3d894e615835148af4774f0ceadefcd063a4916435a6

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-14T20:50:02.096278Z digest=sha256:9c675a7e681dcd5522788e4e2c134715645ab6b3bff2ef651d16cc1e023c9a59