Paper Citation Record · LEDGER

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI

As of 19 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 3 inbound Pith citation observations for arXiv:2505.20305.

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

pith.paper-citation-record.v1
2505.20305 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:36:55.376925Z

measured 59 of 59 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:46:04.607593Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:33:25.564990Z

Reference resolution

56 of 56 outbound references displayed

verified exact1
verified fuzzy31
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b84b78ab-3327-4d48-a5ff-5532d321a1f1 · outbound

This paper cites , Lentsch, A.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Lentsch, A

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:56.044765Z

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 ea31027b-9691-4047-b50e-329429d083e3 · outbound

This paper cites , Lindsey, J.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Lindsey, J

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:56.035127Z

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 36813fcb-ba25-4c30-be7b-2ccc9e464c0f · outbound

This paper cites APACrefauthors \ 2025.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI APACrefauthors \ 2025

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:56.024512Z

Source-reported events for the cited work

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Observation 17f8f618-b324-4b18-9f2f-43b241bcc305 · outbound

This paper cites , D \' az-Rodr \' guez, N.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , D \' az-Rodr \' guez, N

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:56.013113Z

Source-reported events for the cited work

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Observation 237a9adf-0df4-4623-b9ee-bac98f2af826 · outbound

This paper cites , Viard, T.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Viard, T

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:56.002871Z

Source-reported events for the cited work

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Observation 9cf5194b-e8d6-4a70-8b68-93f00640ffff · outbound

This paper cites Position: Explain to Question not to Justify.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI Position: Explain to Question not to Justify

Reference 6

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Source-reported events for the cited work

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Observation 0071c8ed-5dbf-4c03-97b2-80610b19f8f1 · outbound

This paper cites LLMs for Explainable AI: A Comprehensive Survey.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI LLMs for Explainable AI: A Comprehensive Survey

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:55.203747Z

Source-reported events for the cited work

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Observation 8634a910-48ab-4f6a-83a1-b6d6c987b979 · outbound

This paper cites Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models

Reference 8

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Source-reported events for the cited work

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Observation 0d379d87-25fc-4bbe-8de0-cdd87b820835 · outbound

This paper cites APACrefauthors \ 2025.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI APACrefauthors \ 2025

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:55.992611Z

Source-reported events for the cited work

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Observation e54cae65-4951-4170-b36d-a4accaf291b0 · outbound

This paper cites APACrefauthors \ 2022.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI APACrefauthors \ 2022

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:55.982812Z

Source-reported events for the cited work

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Observation 686d18cf-0a71-41c6-9848-cb0dd6030a0a · outbound

This paper cites Conversational Complexity for Assessing Risk in Large Language Models.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI Conversational Complexity for Assessing Risk in Large Language Models

Reference 11

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Source-reported events for the cited work

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Observation 45e6bf22-a6f7-4785-9b5d-995cac2aab37 · outbound

This paper cites XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models

Reference 12

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Source-reported events for the cited work

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Observation a0855cfe-20ef-4c85-908f-096a7ed8713c · outbound

This paper cites , Sun, X.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Sun, X

Reference 13

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Source-reported events for the cited work

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Observation 0567108d-9694-4b4b-9da8-619bb9b7aa51 · outbound

This paper cites , Souza, M E D C.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Souza, M E D C

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:55.962668Z

Source-reported events for the cited work

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Observation be0e4507-7ac6-44c4-9b68-07982e2bd3f2 · outbound

This paper cites , Del Ser, J.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Del Ser, J

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:55.952244Z

Source-reported events for the cited work

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Observation 6fc0e2f0-f9c1-4a14-a242-bdd7e20a507e · outbound

This paper cites APACrefauthors \ 2025.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI APACrefauthors \ 2025

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:55.943074Z

Source-reported events for the cited work

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Observation fedd1bbc-3c9c-44ae-99d4-f426b1ab5ecd · outbound

This paper cites , Simcock, R.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Simcock, R

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:55.933315Z

Source-reported events for the cited work

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Observation f83735c3-63b7-4327-902c-9deb98f92a7e · outbound

This paper cites , Mat \'e , A.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Mat \'e , A

Reference 18

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Source-reported events for the cited work

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Observation 3c6850fa-b3fa-4234-8b24-0d56a4521a07 · outbound

This paper cites , Mat \'e , A.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Mat \'e , A

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:55.913011Z

Source-reported events for the cited work

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Observation 35449df7-617a-4052-ad7a-f9fa17e481eb · outbound

This paper cites , Larsson, S.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Larsson, S

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:55.902204Z

Source-reported events for the cited work

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Observation c99eb87a-bad3-46a6-a039-d0281a32676f · outbound

This paper cites , Aishwarya, N.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Aishwarya, N

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:55.892419Z

Source-reported events for the cited work

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Observation 7593303c-bd9f-4cd0-b590-b10bc168907f · outbound

This paper cites \ Calderon, R.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI \ Calderon, R

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:55.882491Z

Source-reported events for the cited work

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Observation a556d45b-f5a1-461a-8a34-d098e71d30ef · outbound

This paper cites APACrefauthors \ 2025.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI APACrefauthors \ 2025

Reference 23

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Observation 00006d1d-06ab-4d14-9539-c7596a181d1a · outbound

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

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI A Comprehensive Guide to Explainable AI: From Classical Models to LLMs

Reference 24

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Observation 4dbf8adf-6ac6-45cf-8ba0-dd568b3b27c5 · outbound

This paper cites Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?

Reference 25

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Source-reported events for the cited work

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Observation f5015c50-a484-45e7-9e04-a83889b91068 · outbound

This paper cites , Lee, N.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Lee, N

Reference 26

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Observation 095d7ef2-be7c-45a8-8a9f-e2e7b0aee2df · outbound

This paper cites , Vit \'a nyi, P.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Vit \'a nyi, P

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:55.851585Z

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Observation 2025e263-04af-4a8d-bb7c-dd09cc22a672 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 28

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This paper cites , Guan, S.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Guan, S

Reference 29

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Observation 98c985db-5c7d-4757-ab44-502e234d8048 · outbound

This paper cites Large Language Models and Causal Inference in Collaboration: A Survey.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI Large Language Models and Causal Inference in Collaboration: A Survey

Reference 30

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This paper cites , Brcic, M.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Brcic, M

Reference 31

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Observation d691ac56-8acc-4827-a1a6-67217070b33e · outbound

This paper cites Small Language Models: Survey, Measurements, and Insights.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI Small Language Models: Survey, Measurements, and Insights

Reference 32

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This paper cites From Understanding to Utilization: A Survey on Explainability for Large Language Models.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI From Understanding to Utilization: A Survey on Explainability for Large Language Models

Reference 33

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This paper cites Data Laundering: Artificially Boosting Benchmark Results through Knowledge Distillation.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI Data Laundering: Artificially Boosting Benchmark Results through Knowledge Distillation

Reference 34

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This paper cites A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs

Reference 35

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This paper cites APACrefauthors \ 2024.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI APACrefauthors \ 2024

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:55.821062Z

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Observation 45d3180e-5351-4b58-92c1-4faa824a4a58 · outbound

This paper cites Explainable artificial intelligence (XAI): from inherent explainability to large language models.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI Explainable artificial intelligence (XAI): from inherent explainability to large language models

Reference 37

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Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Kocot, K

Reference 38

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Observation 11c67363-b7ce-41c1-b0aa-a8c4c74d6368 · outbound

This paper cites , Zhou, Y.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Zhou, Y

Reference 39

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Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Gurwicz, Y

Reference 40

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This paper cites , Dwivedi-Yu, J.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Dwivedi-Yu, J

Reference 41

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Observation 36b551a1-49e5-45c3-9aeb-5f938e245772 · outbound

This paper cites Generative to Agentic AI: Survey, Conceptualization, and Challenges.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI Generative to Agentic AI: Survey, Conceptualization, and Challenges

Reference 42

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Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI Unresolved cited work

Reference 43

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Observation 7afb62af-f1fb-4e54-9df1-1fbee2a01691 · outbound

This paper cites an unresolved cited work.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI Unresolved cited work

Reference 44

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Observation 743da63a-4cae-4da9-b094-eb60ced9af1d · outbound

This paper cites Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026).

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026)

Reference 45

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Source-reported events for the cited work

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Observation 0146fe6b-aa47-49dd-86b2-f7f12d72334e · outbound

This paper cites Massive Activations in Large Language Models.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI Massive Activations in Large Language Models

Reference 46

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Source-reported events for the cited work

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Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI Explain-Query-Test: Self-Evaluating LLMs Via Explanation and Comprehension Discrepancy

Reference 47

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Source-reported events for the cited work

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Observation c3fd5ed8-5ba4-4e12-ac71-8ded59ec0837 · outbound

This paper cites Bridging Expertise Gaps: The Role of LLMs in Human-AI Collaboration for Cybersecurity.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI Bridging Expertise Gaps: The Role of LLMs in Human-AI Collaboration for Cybersecurity

Reference 48

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Observation f4f9e0bb-2525-45ec-9b91-d2dbad8bf52b · outbound

This paper cites APACrefauthors \ 2025.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI APACrefauthors \ 2025

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:55.758042Z

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 c7cc7d12-f315-424c-ab7d-c5b656147084 · outbound

This paper cites , Molina, D.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Molina, D

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:55.746916Z

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 8cdc1d3c-5f47-4db1-9e8f-18d3a2708341 · outbound

This paper cites A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:55.359267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54d03f8f-5779-4841-8f6b-ec3e366e58bd · outbound

This paper cites Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:55.363016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd6f6f25-1f8f-4f83-924e-aa858da94027 · outbound

This paper cites Benchmark Data Contamination of Large Language Models: A Survey.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI Benchmark Data Contamination of Large Language Models: A Survey

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:55.366598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24ef28ea-ca1d-4801-9c6d-ca7be3175474 · outbound

This paper cites , Song, T.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Song, T

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:55.736124Z

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 945bb82f-51f9-4ae0-bc9d-cccde7555105 · outbound

This paper cites , Chen, H.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Chen, H

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:55.725389Z

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 85d4dcdd-d0bd-4d65-abfb-aaacdf8307cb · outbound

This paper cites , Chen, H.

Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI , Chen, H

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:55.714008Z

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.

Pith citing papers

Observation d83de1f0-6590-484b-b69c-21f19e6a006d · inbound

Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives cites this paper.

Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI

Reference 159

Resolution: unresolved; no resolver link, observed 2026-08-07T04:46:04.607593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af5f7ab3-99b6-4655-adbd-f1aafc9591f4 · inbound

Human-Centered Explainability in Interactive Information Systems: A Survey cites this paper.

Human-Centered Explainability in Interactive Information Systems: A Survey Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI

Reference 172

Resolution: unresolved; no resolver link, observed 2026-08-06T20:37:21.350744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baba5e21-da2f-46da-9181-8ba518c9baa3 · inbound

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework cites this paper.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:33:25.741787Z

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.