Paper Citation Record · LEDGER

Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2310.11207.

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

pith.paper-citation-record.v1
2310.11207 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:06:55.891758Z

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
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External citation measurements

21
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 6ac44560-595b-4689-ac11-3da87e552b06 · inbound

A Systematic Comparison between Extractive Self-Explanations and Human Rationales in Text Classification cites this paper.

A Systematic Comparison between Extractive Self-Explanations and Human Rationales in Text Classification Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:48:22.944652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 98a0d0fb-e192-498d-9021-448c395721f9 · inbound

Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces cites this paper.

Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T09:27:44.130974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 173d7867-b738-4c0a-9787-e087706fc231 · inbound

Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring cites this paper.

Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T21:06:55.891758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61ef70b2-a1f5-4f20-bd34-c073aeb04871 · inbound

Can AI Examine Novelty of Patents?: Novelty Evaluation Based on the Correspondence between Patent Claim and Prior Art cites this paper.

Can AI Examine Novelty of Patents?: Novelty Evaluation Based on the Correspondence between Patent Claim and Prior Art Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T15:54:26.256048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7eb0243-a63e-4bfe-9e2b-a2af77a3eb0a · inbound

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving cites this paper.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T15:13:39.160195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 859f31b4-8c3b-4997-baf1-92390898452a · inbound

PEDANTIC: A Dataset for the Automatic Examination of Definiteness in Patent Claims cites this paper.

PEDANTIC: A Dataset for the Automatic Examination of Definiteness in Patent Claims Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:52.104638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cc7a036-95d5-477d-95c9-6b6133bdd30d · inbound

Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models cites this paper.

Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:35.561666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29f0f39a-ab6e-4673-a190-f969fecb2167 · inbound

Social Media Clones: Exploring the Impact of Social Delegation with AI Clones through a Design Workbook Study cites this paper.

Social Media Clones: Exploring the Impact of Social Delegation with AI Clones through a Design Workbook Study Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T22:07:18.567641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eed88e24-654b-4cd4-bef0-8167025c9802 · inbound

Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations cites this paper.

Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-04T09:08:56.145738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4130d2bd-10cd-4d58-aec2-7f6027577609 · inbound

From Actions to Understanding: Conformal Interpretability of Temporal Concepts in LLM Agents cites this paper.

From Actions to Understanding: Conformal Interpretability of Temporal Concepts in LLM Agents Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T22:33:10.392199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2b559a74-9f59-49d2-b117-9303921b0972 · inbound

BoolXLLM: LLM-Assisted Explainability for Boolean Models cites this paper.

BoolXLLM: LLM-Assisted Explainability for Boolean Models Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

Reference 111

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:57:22.786526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 50aecb90-ef43-4eaa-853b-c50e3f028c7c · inbound

Fundamental Limitation in Explaining AI cites this paper.

Fundamental Limitation in Explaining AI Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T13:14:40.811565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8c87ce49-9354-402d-a1b5-a0f69d45c2b3 · inbound

Can we trust LLM Self-Explanations for Entity Resolution? cites this paper.

Can we trust LLM Self-Explanations for Entity Resolution? Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:56:15.163535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bbbf9279-2eb6-4046-8eff-50aa28a82cf3 · inbound

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior cites this paper.

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

Reference 110

Resolution: verified exact; arxiv_id, observed 2026-06-26T08:49:14.982030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c7bb3bce-5ab7-4aa4-a384-092eb02968bb · inbound

What LLMs explain is not what they believe: Evaluating explanation sufficiency under models' own input beliefs cites this paper.

What LLMs explain is not what they believe: Evaluating explanation sufficiency under models' own input beliefs Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-01T16:25:50.104689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 95df9d56-d42e-4b83-b7aa-6f96ddb60386 · inbound

From Plausible to Actionable: A Position on LLM Self-Explanations cites this paper.

From Plausible to Actionable: A Position on LLM Self-Explanations Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-01T21:49:39.178792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 909a6c4e-403e-49f5-9d53-071d526b5272 · inbound

Identifying Implicit Bias in LLM-based Chat AI Toward People with Intellectual Disabilities cites this paper.

Identifying Implicit Bias in LLM-based Chat AI Toward People with Intellectual Disabilities Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T11:02:29.853231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.