Paper Citation Record · LEDGER

Large Language Models Cannot Explain Themselves

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.04382.

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

pith.paper-citation-record.v1
2405.04382 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:35:14.180827Z

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

9
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 35a8672d-06ef-4253-9e32-738cf40ff693 · inbound

Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks cites this paper.

Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks Large Language Models Cannot Explain Themselves

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T23:36:21.753334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e03ab67b-661d-4b7d-b235-1baf5effe085 · inbound

Thoughts without Thinking: Reconsidering the Explanatory Value of Chain-of-Thought Reasoning in LLMs through Agentic Pipelines cites this paper.

Thoughts without Thinking: Reconsidering the Explanatory Value of Chain-of-Thought Reasoning in LLMs through Agentic Pipelines Large Language Models Cannot Explain Themselves

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:14.180827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12f49a41-29f4-49b2-ba35-7525f7ae958f · inbound

Privileged Self-Access Matters for Introspection in AI cites this paper.

Privileged Self-Access Matters for Introspection in AI Large Language Models Cannot Explain Themselves

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T18:20:06.238169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceb7b654-f42e-4e81-8440-7fbaf496ebc3 · inbound

Interpretability from the Ground Up: Stakeholder-Centric Design of Automated Scoring in Educational Assessments cites this paper.

Interpretability from the Ground Up: Stakeholder-Centric Design of Automated Scoring in Educational Assessments Large Language Models Cannot Explain Themselves

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:05:15.998579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 41002e62-b5ce-4ff6-95c1-a586a96033ba · inbound

From Binary Groundedness to Support Relations: Towards a Reader-Centred Taxonomy for Comprehension of AI Output cites this paper.

From Binary Groundedness to Support Relations: Towards a Reader-Centred Taxonomy for Comprehension of AI Output Large Language Models Cannot Explain Themselves

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-10T17:40:40.534197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 227334e5-ab38-412d-b5e6-71102be781f7 · inbound

Adversarial Co-Thinking: Calibration and Triangulation Across Multiple GenAI Tools in HCI Writing cites this paper.

Adversarial Co-Thinking: Calibration and Triangulation Across Multiple GenAI Tools in HCI Writing Large Language Models Cannot Explain Themselves

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:47:06.920083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d6cb5405-6140-4442-9914-145ec74053ce · inbound

Forecasting Future Behavior as a Learning Task cites this paper.

Forecasting Future Behavior as a Learning Task Large Language Models Cannot Explain Themselves

Reference 72

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T06:07:41.339640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.