Paper Citation Record · LEDGER

Explingo: Explaining AI Predictions using Large Language Models

As of 12 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2412.05145.

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

pith.paper-citation-record.v1
2412.05145 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:52:55.276745Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T07:17:34.686769Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T07:22:29.437156Z

Reference resolution

30 of 30 outbound references displayed

verified exact5
verified fuzzy12
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f0e45821-c6a9-4e84-bd84-be95c63e791d · outbound

This paper cites A unified approach to interpreting model predictions,.

Explingo: Explaining AI Predictions using Large Language Models A unified approach to interpreting model predictions,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T20:52:55.131203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8efc8771-a268-44bd-a24e-ea5bd504240d · outbound

This paper cites Rethinking Explainability as a Dialogue: A Practitioner's Perspective.

Explingo: Explaining AI Predictions using Large Language Models Rethinking Explainability as a Dialogue: A Practitioner's Perspective

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T20:52:55.137320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 091a72a2-f408-4f45-a8d0-7bee7aabca4f · outbound

This paper cites LLMs for XAI: Future Directions for Explaining Explanations.

Explingo: Explaining AI Predictions using Large Language Models LLMs for XAI: Future Directions for Explaining Explanations

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T20:52:55.142846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6d07dc7-34f8-4fb8-803a-90de4b757caf · outbound

This paper cites Towards LLM-guided Causal Explainability for Black-box Text Classifiers.

Explingo: Explaining AI Predictions using Large Language Models Towards LLM-guided Causal Explainability for Black-box Text Classifiers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T20:52:55.148115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9156517-ee93-4ae1-8f6f-22e9c8e5fea6 · outbound

This paper cites In-Context Explainers: Harnessing LLMs for Explaining Black Box Models.

Explingo: Explaining AI Predictions using Large Language Models In-Context Explainers: Harnessing LLMs for Explaining Black Box Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T20:52:55.153166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1bc14c5-4d2c-41a7-b49a-bd77172d3cb0 · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

Explingo: Explaining AI Predictions using Large Language Models DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T20:52:55.157803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52108049-0f4b-4158-b0b4-f130eee380a6 · outbound

This paper cites Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making,.

Explingo: Explaining AI Predictions using Large Language Models Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:52:56.216776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6d27ead1-9f97-475b-9131-c36982060197 · outbound

This paper cites More Questions than Answers? Lessons from Integrating Explainable AI into a Cyber-AI Tool.

Explingo: Explaining AI Predictions using Large Language Models More Questions than Answers? Lessons from Integrating Explainable AI into a Cyber-AI Tool

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:52:55.891020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9c1ccbda-c465-4a4c-bf1b-4d319c22b9bb · outbound

This paper cites Explainable machine learning in deployment,.

Explingo: Explaining AI Predictions using Large Language Models Explainable machine learning in deployment,

Reference 9

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-11T20:52:55.866711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 66b15fc4-17ed-43b3-b1e7-41686d9ecae0 · outbound

This paper cites On Two XAI Cultures: A Case Study of Non-technical Explanations in Deployed AI System.

Explingo: Explaining AI Predictions using Large Language Models On Two XAI Cultures: A Case Study of Non-technical Explanations in Deployed AI System

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:52:55.662634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 723ef8f0-f4d4-4638-8768-0b2e85cbd258 · outbound

This paper cites Survey on explainable ai: From approaches, lim- itations and applications aspects,.

Explingo: Explaining AI Predictions using Large Language Models Survey on explainable ai: From approaches, lim- itations and applications aspects,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:52:56.200957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 95a69e49-1db1-4596-8198-3430e69a4729 · outbound

This paper cites From black boxes to conversations: Incorporating xai in a conversational agent,.

Explingo: Explaining AI Predictions using Large Language Models From black boxes to conversations: Incorporating xai in a conversational agent,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:52:56.185318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation db09d64d-a1b1-4ec0-8125-032a6c46efa3 · outbound

This paper cites ConvXAI : Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing,.

Explingo: Explaining AI Predictions using Large Language Models ConvXAI : Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:52:56.161199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b05d4d69-80ad-486f-977c-ea1860d3dbf6 · outbound

This paper cites Explaining machine learning models with interactive natural language conversations using talktomodel,.

Explingo: Explaining AI Predictions using Large Language Models Explaining machine learning models with interactive natural language conversations using talktomodel,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:52:56.144555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8006ac35-5e1d-4329-a8d7-39f31daa99e6 · outbound

This paper cites Natural language expla- nations for machine learning classification decisions,.

Explingo: Explaining AI Predictions using Large Language Models Natural language expla- nations for machine learning classification decisions,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:52:56.129382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f381d9ca-d9a8-4ce0-b5cf-3f193db48ba4 · outbound

This paper cites Adapting Prompt for Few-shot Table-to-Text Generation,.

Explingo: Explaining AI Predictions using Large Language Models Adapting Prompt for Few-shot Table-to-Text Generation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:52:56.111179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 740a16bc-4999-489c-a844-8ecd51b1b38a · outbound

This paper cites Evaluating Large Language Models: A Comprehensive Survey.

Explingo: Explaining AI Predictions using Large Language Models Evaluating Large Language Models: A Comprehensive Survey

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T20:52:55.207821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f743310-e71e-4cac-92f2-faed7cd23518 · outbound

This paper cites Benchmarking Foundation Models with Language-Model-as-an-Examiner,.

Explingo: Explaining AI Predictions using Large Language Models Benchmarking Foundation Models with Language-Model-as-an-Examiner,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:52:56.092371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f50e7839-ac64-4b10-846a-4a6ad0f56966 · outbound

This paper cites Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study.

Explingo: Explaining AI Predictions using Large Language Models Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T20:52:55.217547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c506c635-9322-49ab-86e2-a0849a9b9b8b · outbound

This paper cites Exploring ChatGPT's Ability to Rank Content: A Preliminary Study on Consistency with Human Preferences.

Explingo: Explaining AI Predictions using Large Language Models Exploring ChatGPT's Ability to Rank Content: A Preliminary Study on Consistency with Human Preferences

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:52:55.603655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 310eaf29-37f3-48cc-b6ff-b7f1e467d8b2 · outbound

This paper cites GPTScore: Evaluate as You Desire.

Explingo: Explaining AI Predictions using Large Language Models GPTScore: Evaluate as You Desire

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T20:52:55.227917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d693413-5a53-4498-a580-880c170e970c · outbound

This paper cites Is ChatGPT a Good NLG Evaluator? A Preliminary Study,.

Explingo: Explaining AI Predictions using Large Language Models Is ChatGPT a Good NLG Evaluator? A Preliminary Study,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:52:56.073865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 900859bc-8ab6-473c-87a6-ce20cb03723d · outbound

This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

Explingo: Explaining AI Predictions using Large Language Models G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T20:52:55.237665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63179a44-ae56-4fab-be19-9b69572cfb5c · outbound

This paper cites Ames, Iowa: Alternative to the Boston Housing Data as an End of Semester Regression Project,.

Explingo: Explaining AI Predictions using Large Language Models Ames, Iowa: Alternative to the Boston Housing Data as an End of Semester Regression Project,

Reference 24

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-11T20:52:55.538732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b585a62c-7a25-4c28-a1d3-81256eaced0b · outbound

This paper cites Using data mining to predict secondary school student performance,.

Explingo: Explaining AI Predictions using Large Language Models Using data mining to predict secondary school student performance,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:52:56.055392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e84a235b-9feb-49ca-b21d-a40627da7bb7 · outbound

This paper cites Mushroom,.

Explingo: Explaining AI Predictions using Large Language Models Mushroom,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T20:52:55.252044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3ccccb5-288e-45d4-81ae-300d17204529 · outbound

This paper cites PDF Malware Detection based on Stacking Learning:,.

Explingo: Explaining AI Predictions using Large Language Models PDF Malware Detection based on Stacking Learning:,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:52:56.033178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d41973ad-3104-4abd-a4ac-c014ea86f594 · outbound

This paper cites Evaluating the Quality of Machine Learning Explanations: A Survey on Methods and Metrics,.

Explingo: Explaining AI Predictions using Large Language Models Evaluating the Quality of Machine Learning Explanations: A Survey on Methods and Metrics,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:52:56.015119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9941b58d-7015-4ded-97af-bc426a326a2f · outbound

This paper cites METEOR: An automatic metric for MT evaluation with improved correlation with human judgments,.

Explingo: Explaining AI Predictions using Large Language Models METEOR: An automatic metric for MT evaluation with improved correlation with human judgments,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T20:52:55.271763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b094839a-5ece-42ae-8535-10419db8a7f8 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Explingo: Explaining AI Predictions using Large Language Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T20:52:55.276745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 4e07e941-30ef-48f9-aa5f-2f9f7dcc33da · inbound

Persistent and Conversational Multi-Method Explainability for Trustworthy Financial AI cites this paper.

Persistent and Conversational Multi-Method Explainability for Trustworthy Financial AI Explingo: Explaining AI Predictions using Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:22:29.441752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.