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Paper Citation Record · LEDGER

Explaining Explanations: An Overview of Interpretability of Machine Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:1806.00069.

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

pith.paper-citation-record.v1
1806.00069 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:55:03.015018Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

32
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 217aaa21-3b5d-442b-92f5-22e0275bf684 · inbound

Do Transformer Attention Heads Provide Transparency in Abstractive Summarization? cites this paper.

Do Transformer Attention Heads Provide Transparency in Abstractive Summarization? Explaining Explanations: An Overview of Interpretability of Machine Learning

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-25T12:20:47.638077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-25T12:17:22.938922Z digest=sha256:23700d5fc9e7723ef9c150abb6dd9e3290cd5e52ab43b8f0513e18bb15c29a01

Observation 36554834-39cf-4433-8218-2f44154b78f6 · inbound

The Price of Interpretability cites this paper.

The Price of Interpretability Explaining Explanations: An Overview of Interpretability of Machine Learning

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-25T01:30:10.806087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-25T01:27:18.723153Z digest=sha256:9b92cefbba032ac5e2e1190fb6cb8a6a05a52a39f870bc53929649a7862b9656

Observation bbba6fab-c13e-4706-90bf-abd3c15313e4 · inbound

Optimal Explanations of Linear Models cites this paper.

Optimal Explanations of Linear Models Explaining Explanations: An Overview of Interpretability of Machine Learning

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-25T01:25:10.778964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-25T01:22:45.361129Z digest=sha256:2b668acb4908c73266c4c1536f9ebd5e2524692275f82058a9805289bf62a94c

Observation 0ef8eac5-fc94-49d2-b9ec-1b4640399501 · inbound

Consistent Feature Construction with Constrained Genetic Programming for Experimental Physics cites this paper.

Consistent Feature Construction with Constrained Genetic Programming for Experimental Physics Explaining Explanations: An Overview of Interpretability of Machine Learning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-14T12:55:03.015018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:55:03.015018Z digest=sha256:3486330e87cb9e161d1fc0a0696917c2e71e37218ce6c66aa38c63cffe9a3745

Observation 1fd3d728-e3e6-4ae6-ae75-3319e6ce6f0d · inbound

Comparative Analysis of Black-Box and White-Box Machine Learning Model in Phishing Detection cites this paper.

Comparative Analysis of Black-Box and White-Box Machine Learning Model in Phishing Detection Explaining Explanations: An Overview of Interpretability of Machine Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T23:52:56.471769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:52:56.471769Z digest=sha256:9650b4d37e30912105cf70f3295d4b36130b49e10932534ba1a9a47d891b8f83

Observation 68dfee70-f294-4081-ae18-47ef43e2ecfc · inbound

Explaining Model Overfitting in CNNs via GMM Clustering cites this paper.

Explaining Model Overfitting in CNNs via GMM Clustering Explaining Explanations: An Overview of Interpretability of Machine Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:10.344893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:25:10.344893Z digest=sha256:4041267886b70da86edfee74c63e12c087357894a9f7d76593e33d5824e01f8d

Observation 8790f3e7-975b-41cd-bd0d-5cd0f31dee2d · inbound

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges cites this paper.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Explaining Explanations: An Overview of Interpretability of Machine Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.878821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.878821Z digest=sha256:9c3e01328de47e24c601fbd8f2567bb39361ecaeb3124d6b6f35ce697663a6df

Observation 58a5121c-5cf0-4f60-b413-3684e07dceba · inbound

Mapping the Mind of an Instruction-based Image Editing using SMILE cites this paper.

Mapping the Mind of an Instruction-based Image Editing using SMILE Explaining Explanations: An Overview of Interpretability of Machine Learning

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-11T10:49:23.310313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:49:23.310313Z digest=sha256:ffdf97aacbbfc74ebaa22fed081b10e5bd44ddd9da246752535859be0b65eebb

Observation 95a380d5-eed5-4118-a369-6a4d1ed5e9de · inbound

On the definition and importance of interpretability in scientific machine learning cites this paper.

On the definition and importance of interpretability in scientific machine learning Explaining Explanations: An Overview of Interpretability of Machine Learning

Reference 27

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T14:11:38.623782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T14:08:37.253192Z digest=sha256:b07081a698fbf6fd5f62e7ce4a844a2417fa7991dafbe3e6b823d2768ebea54d

Observation f9916daf-4181-4e4e-a753-74f364d32166 · inbound

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks cites this paper.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Explaining Explanations: An Overview of Interpretability of Machine Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T15:05:54.810237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:05:54.810237Z digest=sha256:2816be38c430987ffaa6c88da9f828189ad615208ac1df8752fe7fc4f8c575b0

Observation d78132e4-1b4a-4336-811b-7abc3e2baa9f · inbound

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations cites this paper.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Explaining Explanations: An Overview of Interpretability of Machine Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T12:40:27.250842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:40:27.250842Z digest=sha256:ff02c2ae25d310c770037f591e44a2acd17d85c8c0a986a95d2d68abdc250942

Observation 4f10fa1a-7fec-43f9-b3ae-c0baa81e6027 · inbound

Emergent Causal-Geometric Dynamics Across Depth in Large Language Models cites this paper.

Emergent Causal-Geometric Dynamics Across Depth in Large Language Models Explaining Explanations: An Overview of Interpretability of Machine Learning

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-03T04:41:08.891300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:41:08.891300Z digest=sha256:e6fe02d0350828e46d9c519073438a3c6710a57e4592adef8b9d411647b7e177

Observation 3c339cf3-8788-4968-90c9-aa118d9dca11 · inbound

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces cites this paper.

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces Explaining Explanations: An Overview of Interpretability of Machine Learning

Reference 161

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T20:17:54.895669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-14T20:17:01.224864Z digest=sha256:cd96473ab521cd643a33b533ca1a96bcda893f9cb1dbcbd3163d518a447af19c