Paper Citation Record · LEDGER

A Survey of the State of Explainable AI for Natural Language Processing

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2010.00711.

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

pith.paper-citation-record.v1
2010.00711 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:04:37.628684Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

113
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a506d71e-fd5a-46f4-8251-3fbe52634b55 · inbound

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs cites this paper.

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs A Survey of the State of Explainable AI for Natural Language Processing

Reference 299

Resolution: unresolved; no resolver link, observed 2026-08-12T05:01:32.729098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5f51ddf-b3b4-4880-900b-31cc7db77d31 · inbound

How Do Artificial Intelligences Think? The Three Mathematico-Cognitive Factors of Categorical Segmentation Operated by Synthetic Neurons cites this paper.

How Do Artificial Intelligences Think? The Three Mathematico-Cognitive Factors of Categorical Segmentation Operated by Synthetic Neurons A Survey of the State of Explainable AI for Natural Language Processing

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T00:50:28.271288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c52f5af-2c72-41e6-bd28-4075f8e34348 · inbound

Pareto Optimal Algorithmic Recourse in Multi-cost Function cites this paper.

Pareto Optimal Algorithmic Recourse in Multi-cost Function A Survey of the State of Explainable AI for Natural Language Processing

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T13:30:36.461172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2ec451e-9f8b-4d11-b81c-bc006c9c3128 · inbound

The Process of Categorical Clipping at the Core of the Genesis of Concepts in Synthetic Neural Cognition cites this paper.

The Process of Categorical Clipping at the Core of the Genesis of Concepts in Synthetic Neural Cognition A Survey of the State of Explainable AI for Natural Language Processing

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T17:37:45.660390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 028f022b-44ba-4350-abad-dff205710d4b · inbound

Polysemy of Synthetic Neurons Towards a New Type of Explanatory Categorical Vector Spaces cites this paper.

Polysemy of Synthetic Neurons Towards a New Type of Explanatory Categorical Vector Spaces A Survey of the State of Explainable AI for Natural Language Processing

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T05:04:37.628684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6aaeb9c-8ca7-4d88-8cce-826f1136a0e6 · inbound

KGRAG-Ex: Explainable Retrieval-Augmented Generation with Knowledge Graph-based Perturbations cites this paper.

KGRAG-Ex: Explainable Retrieval-Augmented Generation with Knowledge Graph-based Perturbations A Survey of the State of Explainable AI for Natural Language Processing

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:50.358820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bff55a2-e3e0-4fb5-855b-657db1219fe2 · inbound

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content cites this paper.

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content A Survey of the State of Explainable AI for Natural Language Processing

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T00:44:55.861291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8885e70-ae83-4053-8f62-967a690ed5df · inbound

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study cites this paper.

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study A Survey of the State of Explainable AI for Natural Language Processing

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T14:12:37.272487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3229875d-1471-4b77-b0b0-8cf8cc1597f3 · inbound

Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks cites this paper.

Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks A Survey of the State of Explainable AI for Natural Language Processing

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T05:20:50.854704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18c6f1f9-72cb-4ea6-bc18-b586d0e71fdd · inbound

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

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces A Survey of the State of Explainable AI for Natural Language Processing

Reference 177

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:17:54.844802Z

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.

Observation afdc3f75-9c4c-4634-8d5c-182d92f41010 · inbound

BetXplain: An Explanation-Annotated Dataset for Detecting Manipulative Betting Advertisements on Social Media cites this paper.

BetXplain: An Explanation-Annotated Dataset for Detecting Manipulative Betting Advertisements on Social Media A Survey of the State of Explainable AI for Natural Language Processing

Reference 284

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:19:50.811307Z

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.