Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-23T03:03:09.697466Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 100 of 105 outbound references and 1 inbound Pith citation observation for arXiv:2502.16759.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-23T03:03:09.697466Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T18:41:06.636352Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-06-28T18:42:29.355798Z
100 of 105 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation dbd1ceeb-f083-4482-aa89-e84408ddae78 · outbound
Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations " * write output.state after.block = add.period write newline
Reference 1
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Reference 2
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations GPT-4 Technical Report
Reference 3
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations IEEE access 6:52138--52160
Reference 4
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations An efficient reduction of ranking to classification
Reference 5
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Reference 6
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Reference 7
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Advances in neural information processing systems 24
Reference 8
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Reference 9
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Reference 10
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Language Models are Few-Shot Learners
Reference 11
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations International conference on machine learning, 883--892 (PMLR)
Reference 12
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Reference 13
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 385--396
Reference 14
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Reference 15
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Reference 16
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Reference 17
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Reference 18
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Reference 19
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Reference 20
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the 15th ACM conference on recommender systems, 143--153
Reference 21
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 22
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Reference 23
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations The Llama 3 Herd of Models
Reference 24
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Environment Invariant Linear Least Squares
Reference 25
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Marketing Science
Reference 27
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 454--464
Reference 28
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Reference 29
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Reference 30
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Reference 31
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Reference 32
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Recommender Systems Handbook: Third Edition, 547--601 (Springer US)
Reference 33
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Reference 34
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the 26th international conference on world wide web, 173--182
Reference 35
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Reference 36
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Reference 37
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Reference 38
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Reference 39
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations LoRA: Low-Rank Adaptation of Large Language Models
Reference 40
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Reference 41
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Reference 42
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Reference 43
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Reference 44
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Reference 45
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Reference 46
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Reference 47
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Reference 48
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Reference 49
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations ACM Transactions on Information Systems 41(4):1--26
Reference 50
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Reference 51
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Reference 52
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Reference 53
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations (2023) How can recommender systems benefit from large language models: A survey
Reference 54
Source-reported events for the cited work
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Enhancing LLM Problem Solving with REAP: Reflection, Explicit Problem Deconstruction, and Advanced Prompting
Reference 55
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Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations (2009) Learning to rank for information retrieval
Reference 56
Source-reported events for the cited work
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Reference 57
Source-reported events for the cited work
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Reference 58
Source-reported events for the cited work
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Reference 59
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Reference 60
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Reference 61
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Reference 62
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Reference 63
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Reference 64
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Observation 0422c7fa-82a4-497f-b9ef-db8b44cd1629 · outbound
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Reference 65
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Observation 944efa20-6c37-45ef-bfa8-5e1de3ed383f · outbound
Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Journal of the Royal Statistical Society Series B: Statistical Methodology 78(5):947--1012
Reference 66
Source-reported events for the cited work
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Observation a2b5413d-11bb-48d9-8609-54c7919a56ec · outbound
Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations (2019) Language models are unsupervised multitask learners
Reference 67
Source-reported events for the cited work
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Reference 68
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Reference 69
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Reference 70
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Reference 71
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