Paper Citation Record · LEDGER

Explainability for Large Language Models: A Survey

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2309.01029.

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

pith.paper-citation-record.v1
2309.01029 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:50:28.606751Z

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

19
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 7c3601d7-26b0-412d-9054-ceadc3eaeb79 · inbound

Putnam's Critical and Explanatory Tendencies Interpreted from a Machine Learning Perspective cites this paper.

Putnam's Critical and Explanatory Tendencies Interpreted from a Machine Learning Perspective Explainability for Large Language Models: A Survey

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T22:04:10.000749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14f2b316-2ef5-4053-bd13-18e7790fc5ba · inbound

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles cites this paper.

Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles Explainability for Large Language Models: A Survey

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:23:56.498854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff05b48c-d4f5-4f00-b474-1590b5b97d47 · 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 Explainability for Large Language Models: A Survey

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-11T00:50:28.606751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14303307-db2d-470a-91c7-22d5d362c6ac · inbound

The State of Post-Hoc Local XAI Techniques for Image Processing: Challenges and Motivations cites this paper.

The State of Post-Hoc Local XAI Techniques for Image Processing: Challenges and Motivations Explainability for Large Language Models: A Survey

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-10T21:26:52.775147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18a5702f-4b2d-488d-b7cd-3d4664ee83d7 · inbound

Large Language Models for Interpretable Mental Health Diagnosis cites this paper.

Large Language Models for Interpretable Mental Health Diagnosis Explainability for Large Language Models: A Survey

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T20:42:41.905612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation decb14f7-205c-46cf-b36d-a28f344c3ce0 · 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 Explainability for Large Language Models: A Survey

Reference 154

Resolution: unresolved; no resolver link, observed 2026-08-10T17:37:46.175077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 193f426c-6ed7-40ac-9147-f4a443bdd1b3 · inbound

Progress Ratio Embeddings: An Impatience Signal for Robust Length Control in Neural Text Generation cites this paper.

Progress Ratio Embeddings: An Impatience Signal for Robust Length Control in Neural Text Generation Explainability for Large Language Models: A Survey

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:18:43.808098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 73d17053-3824-4674-8cd9-4e86d2da561f · inbound

Steer Like the LLM: Activation Steering that Mimics Prompting cites this paper.

Steer Like the LLM: Activation Steering that Mimics Prompting Explainability for Large Language Models: A Survey

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-09T01:59:34.643501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.