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Paper Citation Record · LEDGER

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations

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.

pith.paper-citation-record.v1
2502.16759 v3

Coverage vector

measured 100 of 105 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T03:03:09.697466Z

measured 101 of 101 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 2026-06-28T18:41:06.636352Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-28T18:42:29.355798Z

Reference resolution

100 of 105 outbound references displayed

  • verified exact21
  • verified fuzzy66
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch11

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dbd1ceeb-f083-4482-aa89-e84408ddae78 · outbound

This paper cites " * write output.state after.block = add.period write newline.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations " * write output.state after.block = add.period write newline

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.934367Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:a8c0f3b1b2dd58894d41d5f9d37a6fcbb208d44771500e2cf6899483865e0dbc

Observation 1d008458-3237-4072-ba14-f0e49c839c9c · outbound

This paper cites write newline.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations write newline

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.961713Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:b3341d3eb92107d51842a37c235dd67c6c1092f31d0835231eeb595564866b6f

Observation 1cdfc021-dadf-462e-98b2-18909702ff5a · outbound

This paper cites GPT-4 Technical Report.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations GPT-4 Technical Report

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-23T03:05:20.822925Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:fd4ef85dc05b1849da3ea557b00f5632d09afcf94a7efcab49da2fb600e26273

Observation e8992e9a-1098-4107-8415-136ace4f6ba1 · outbound

This paper cites IEEE access 6:52138--52160.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations IEEE access 6:52138--52160

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.972844Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:ae7bee8f40afff730db6c7d68afbfaa0cf12d493d5492f2c6c43256e40755415

Observation 5b8bdae2-c5ea-4189-ae4f-f4ce7cb4af1a · outbound

This paper cites An efficient reduction of ranking to classification.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations An efficient reduction of ranking to classification

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T03:05:20.792578Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:09bc249b73ea810cad4cbaa439a6bf8b2a638338dcbb67094f0029cf4714585b

Observation 3e124bbf-7220-48ee-b03e-45fd8601888b · outbound

This paper cites Machine learning 72:139--153.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Machine learning 72:139--153

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.980126Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:4b88687d3988b855610160eb29cff7fc4fac209f309803d3d3a3277fa17e795a

Observation 2635154d-1492-43ad-bcc4-f931fe0aa057 · outbound

This paper cites Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining, 717--725.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining, 717--725

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.949762Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:5f5f71e081ac0149788f40457e4e8de0243ea6f4169ef39469da161895926bbb

Observation 5d0e9725-7578-41d9-b160-a97b2c90846d · outbound

This paper cites Advances in neural information processing systems 24.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Advances in neural information processing systems 24

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.996335Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:2bbf36eebfc0225f7bc2fc1d54335837708ef3f6665018dc3b3a9f8a17241659

Observation 503d4942-07a2-499c-8480-ad12f87e47e6 · outbound

This paper cites The Annals of Statistics 37(4):1705--1732.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations The Annals of Statistics 37(4):1705--1732

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:22.002310Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:75bc81a6ace08bb500c49cc5c31ac339c148be0c4b60280588bf45745c9ab53c

Observation 04ab89b5-59b7-463d-a83d-b85abbdc1202 · outbound

This paper cites UAI '98 , 43--52.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations UAI '98 , 43--52

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:22.013249Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:25feafcc9caf40cd84e7c5974fee2d103f98332f8a0bb16cf72e5d3ad6db8215

Observation 52a54908-bbfa-4627-bfca-b656d307af03 · outbound

This paper cites Language Models are Few-Shot Learners.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Language Models are Few-Shot Learners

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T03:05:20.872116Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:c9521ad90cd8e741977f84af81a5868705c9ae1ff577e0a4b6e5fba89479a7ff

Observation a7c18811-8c84-4c31-b523-701017188b3e · outbound

This paper cites International conference on machine learning, 883--892 (PMLR).

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations International conference on machine learning, 883--892 (PMLR)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:22.010092Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:29dbde2fc96689cd671f123e0e413cf705ea5ee4421309789f113720032c6fa2

Observation d3d029cb-e9f6-4aac-8c41-156c186d5298 · outbound

This paper cites WSDM '19 , 456--464.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations WSDM '19 , 456--464

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.954252Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:51a666e7d93f47ecdc2b5cc3340725b449887ba660ef3cc5111f42d43382854c

Observation d8abce2e-d0cb-470e-8c1f-37e329ad2cf1 · outbound

This paper cites Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 385--396.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.941527Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:d99ebff952f9c842b3bcb84227f41992eb4e9ad9cfd1dfac293d6bc04cb02ff1

Observation e0744a9b-8fc1-4793-ad95-5f1316e68cdb · outbound

This paper cites ACM Transactions on Information Systems (TOIS) 37(2):1--28.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations ACM Transactions on Information Systems (TOIS) 37(2):1--28

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.927870Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:b20756482da9ec4b91f6d4f2f5e20aa037523d0442b82c4d228581e4dc733599

Observation 683e8a31-e859-48db-b96a-0b4bdb8e2fbd · outbound

This paper cites IJCAI, 3748--3754.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations IJCAI, 3748--3754

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.930084Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:a84a00bfd314fabc4b55fe6729c43868af4473cdda9094ce450ec63c563f98cc

Observation 68ede4e3-82b4-4f2d-9284-6cac71fe77aa · outbound

This paper cites Proceedings of the 27th ACM International conference on information and knowledge management, 147--156.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the 27th ACM International conference on information and knowledge management, 147--156

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.937503Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:81c91dbe220e2be7d6fb93f1a945b5e7ea2203b8832cd408f45468ca42989b8a

Observation 1ab7d338-5a5f-4542-abe9-0c0d9e3f58d5 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T03:05:20.836447Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:0525a9288f80418de49375ab9bcb12a543aae4ecb1f33c9ee652e9b07e4d32b7

Observation 7739c832-f4ad-4422-b892-1b06525e3da4 · outbound

This paper cites Companion Proceedings of the 23rd International Conference on Intelligent User Interfaces, 1--2.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Companion Proceedings of the 23rd International Conference on Intelligent User Interfaces, 1--2

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.870718Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:b2afe9c67358847e7384a77652aeb8556e5e85937d8fa67ed3e097cd1a4fca6b

Observation c6cecccf-f5e8-4726-bbf6-f182b854dab0 · outbound

This paper cites Recsys '16.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Recsys '16

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.989637Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:48bb1cfb18c5b4757833303c95aa56d73c1022d3e806e5d0b3c59b9afafb9c73

Observation 6258e955-6cb9-4577-87b8-0eeac6870b6d · outbound

This paper cites Proceedings of the 15th ACM conference on recommender systems, 143--153.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the 15th ACM conference on recommender systems, 143--153

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.910928Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:e4c6f3c5e98e9934fcefe2f5d086f866de81be33ea8c952e17e40b5659e1c877

Observation e80783e2-a732-4ef4-9ca4-19ec0b663d13 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 22

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T03:05:20.822663Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:6946664894e69a35fe8fd5a7241c732ebccbbfc5dceade7e7d87fd2bbb6f1268

Observation d9631fda-1acd-453f-afe1-a546c08c96cb · outbound

This paper cites Marketing science 40(6):1059--1080.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Marketing science 40(6):1059--1080

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:22.005582Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:93fd6e9a680f324a911e4e07ec559cf3dfcb25f7bf225e92356e98e5044481c8

Observation 301c8f66-33cb-4474-9bde-40a0d74a2321 · outbound

This paper cites The Llama 3 Herd of Models.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations The Llama 3 Herd of Models

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-23T03:05:20.867668Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:97a989c291ff8a627c683336f104a01257329b5c6d7dfcf8fcf80def927adb69

Observation dcd5a8b6-93f7-4bd8-994d-898ab8e97ba3 · outbound

This paper cites Environment Invariant Linear Least Squares.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Environment Invariant Linear Least Squares

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:05:20.843108Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:f0235f2e776a22b83c40259b7ae22b1198411f24d5428772106a355b039c11b4

Observation 0459e905-7f66-4023-b340-8ceb72a8072c · outbound

This paper cites National science review 1(2):293--314.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations National science review 1(2):293--314

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.784842Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:0f812184c98628c06cf697465ea088db4acb684bda42f0e702ba463e1cf62815

Observation 09e7f048-5e89-429d-947a-00b0b12ac92f · outbound

This paper cites Marketing Science.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Marketing Science

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.808197Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:2cb1b9b69a37cadbadde9bc15ee6f99bc3884f54d15afcb4a97c299cb56f6297

Observation 4109fbc8-e625-4233-aa6a-653b8cdbec5a · outbound

This paper cites Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 454--464.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.822415Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:1323c4c668bb9c50a132ed38713c9a9170076569c3a7b1b0e6e2f7710883b2e3

Observation b50d32fa-e720-4191-a8f8-cf1cf014923c · outbound

This paper cites ACM Transactions on Mgmt Information Systems (TMIS) 6(4):1--19.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations ACM Transactions on Mgmt Information Systems (TMIS) 6(4):1--19

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.818526Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:a0ff87bba327f9a8ff72df6b822527b099542d56a34ed3b6fef8ca489e601150

Observation fcae8097-7729-4b62-a61d-2878ce48fd29 · outbound

This paper cites The Twelfth International Conference on Learning Representations.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations The Twelfth International Conference on Learning Representations

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.746518Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:0aa003118ba1499450d14b1179e80dcdebe7e17c2ff822a102d25daadf0b5316

Observation a4dea25b-b294-4f98-b626-5fa01b192b25 · outbound

This paper cites Causality pursuit from heterogeneous environments via neural adversarial invariance learning.arXiv preprint arXiv:2405.04715, 2024.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Causality pursuit from heterogeneous environments via neural adversarial invariance learning.arXiv preprint arXiv:2405.04715, 2024

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:05:20.795477Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:d4797522f11dd72c2160d546733aa0d8c6552f13c0ebd329ca4b751c941cbef2

Observation c2da9451-3643-46dc-8c2f-c63c8e4d9a16 · outbound

This paper cites ACM Transactions on Information Systems (TOIS) 37(3):1--27.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations ACM Transactions on Information Systems (TOIS) 37(3):1--27

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.729859Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:82e27fd9c015d8826b02d5b459c517b9a3666fd8ae87b438f85f96886a0d9cfb

Observation d29a3024-b6d1-490e-9259-219b365179e2 · outbound

This paper cites Recommender Systems Handbook: Third Edition, 547--601 (Springer US).

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Recommender Systems Handbook: Third Edition, 547--601 (Springer US)

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.732785Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:f18e201823b624cd7999bff7a19a2b7059aab02a0f6c2728c82232003efd743e

Observation 328a4510-eaef-483f-a25a-39f5a6df0561 · outbound

This paper cites Radiology 143(1):29--36.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Radiology 143(1):29--36

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.748851Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:4f44a9502a57de0e58fc2c7c325ce37f6b932c619e9032644285d6a1ff20fc53

Observation c5272c19-3cd0-4356-bc38-36d64be0225a · outbound

This paper cites Proceedings of the 26th international conference on world wide web, 173--182.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the 26th international conference on world wide web, 173--182

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.776159Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:2bc5e4f5917d74ba4a49a3b7a009abfb6a1ec8d409723d68afeabf3a3ef5876a

Observation 61d82d27-eaf1-4822-bbec-472ee9d12db5 · outbound

This paper cites Proceedings of the 32nd ACM international conference on information and knowledge management, 720--730.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the 32nd ACM international conference on information and knowledge management, 720--730

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.983455Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:652ca0f33d1b5d65f966c0bdbb4e0f61496f30174059a5ac07887616d32d44e9

Observation 90f5840c-cd11-4292-8029-81d9feca8a6a · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Distilling the Knowledge in a Neural Network

Reference 37

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T03:05:20.892371Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:ae9f807deb9ac5eb5a1e4cb746feaa3efd31005b2d2870e9d95ef5070d73ff5b

Observation 6a1c1453-b8b7-4dde-97ad-ffdc841b0caa · outbound

This paper cites science 313(5786):504--507.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations science 313(5786):504--507

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.900408Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:b86e505fb8625b529faae488da4a052914e7a6d64aaec6e04aee7bbd3690f426

Observation b4663991-a8b0-4f97-82c0-6031048becd4 · outbound

This paper cites Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 585--593.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 585--593

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.992966Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:2dbef6357d6305a25af26183462d20c3b1a0794d13e6112733aa02f419d8b7cb

Observation 756fd973-e401-46bc-98b1-3bf2114af9b7 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations LoRA: Low-Rank Adaptation of Large Language Models

Reference 40

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T03:05:20.876891Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:90cad740d72b83c9af6c64073cbd2124a73058f210e9106303c5729c09f72a56

Observation 32eff9f6-d54c-4086-a109-3e2dbaee2a1e · outbound

This paper cites Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:05:20.853778Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:34033784ce469cbf2f8243b9ee8d1cdbb92e767d5b7a3cb90eaf5554472301ed

Observation 3227379d-7feb-4128-9843-15439fbdf24b · outbound

This paper cites LLM-Select: Feature Selection with Large Language Models.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations LLM-Select: Feature Selection with Large Language Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:05:20.887610Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:58df70956e878a9943d7b500387034e074e9c34bb39dc386598f815d9c3dabfe

Observation b69276e4-6176-468e-9b9c-f8b422f65132 · outbound

This paper cites Mixtral of Experts.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Mixtral of Experts

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-23T03:05:20.827299Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:6f21fefb3d31b963c1444331f57d968cffa8a07b45baa142c75337ad3227c3ba

Observation 6dab39d0-fa80-4948-9ffd-192a6e0613ae · outbound

This paper cites ICDM '18 , 197--206 (IEEE).

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations ICDM '18 , 197--206 (IEEE)

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.892830Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:38728c04d8bfd515fa92e29b321e0ef6e27e11bc339af0c475d318af55684e88

Observation fcf738f8-78f3-4f08-bf1b-d1a855ddbfee · outbound

This paper cites Auto-Encoding Variational Bayes.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Auto-Encoding Variational Bayes

Reference 45

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T03:05:20.882972Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:43acdae02277e5321bcd18813a9ea51c6efe699a5ec72436fd49945d0c0af25e

Observation daa78c34-2cb3-40b7-9bdf-27fae576dacf · outbound

This paper cites Proceedings of the 14th ACM International Conference on Web Search and Data Mining, 967--975.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the 14th ACM International Conference on Web Search and Data Mining, 967--975

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.967680Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:ec13aeaa8c534054c0cead6450ec1dd5d5017b179b97e4571927e8c8afeb0c02

Observation 16612182-031f-4773-a9ce-4d0a2e82847a · outbound

This paper cites Iui workshops.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Iui workshops

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.965214Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:09626a010788681f142ffc8a08f5dda9686b0c139887e1990d819da89402196e

Observation 6cf54e75-f4f5-4cbb-b065-63715873cfe1 · outbound

This paper cites Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 1248--1257.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 1248--1257

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.968837Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:d76abe3d2eeaaa5126ba63139dc23d6050f7163234fccf6db2c3c68bae514ea0

Observation 860ec248-8897-4c0f-a25b-b44ad9ac3692 · outbound

This paper cites Personalized Transformer for Explainable Recommendation.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Personalized Transformer for Explainable Recommendation

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:05:20.904056Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:2075bb335fa00b15ac8d438561fec6bbf8b1341dbab0fcc8033cebc4a34b1e71

Observation 43085f56-b9a3-43bc-b98a-8901b7cf8624 · outbound

This paper cites ACM Transactions on Information Systems 41(4):1--26.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations ACM Transactions on Information Systems 41(4):1--26

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.986536Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:439cf0308a5f79c05ff201e41d739efd49e959fdbd27e782a070ebcbb354cb5b

Observation 981bedef-0773-4514-81cc-294928d7667f · outbound

This paper cites Proceedings of the 14th ACM Conference on Recommender Systems, 279--288.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the 14th ACM Conference on Recommender Systems, 279--288

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.933473Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:90995aafaec4888a5141604f20af59cc0d9bfcad854868806923b73279300890

Observation d58730ee-e533-4ed9-a17c-09a80fe7ce11 · outbound

This paper cites Information Systems Research 35(3):1257--1273.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Information Systems Research 35(3):1257--1273

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.945668Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:75e5f472247baaa32b477054df64dcbb28219e8ba5d900c55ba5df916f523662

Observation 507a0052-b100-4b73-bcd0-824b0f94891a · outbound

This paper cites Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:05:20.817881Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:4afd6e816f714a0a8ea1cd60fae57bea007fe729ee3bf392baae488ec5ff075f

Observation 9ec5a036-f992-47fe-8a8a-4a65c14eaf63 · outbound

This paper cites (2023) How can recommender systems benefit from large language models: A survey.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations (2023) How can recommender systems benefit from large language models: A survey

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.924139Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:3aed6855b4e9792fc1df914131bdd1b5e325898dedeb0af3de54161f2732e434

Observation 165deb5c-526b-49dd-a723-74b34a78a51d · outbound

This paper cites Enhancing LLM Problem Solving with REAP: Reflection, Explicit Problem Deconstruction, and Advanced Prompting.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Enhancing LLM Problem Solving with REAP: Reflection, Explicit Problem Deconstruction, and Advanced Prompting

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:05:20.863483Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:0e01c195f588e0a1dbc93b1ea80ff6bef208b8e8d1b148cd24eaff9a81a57c8a

Observation ea90c898-bf38-4f51-a373-fbba16a194b8 · outbound

This paper cites (2009) Learning to rank for information retrieval.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations (2009) Learning to rank for information retrieval

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.920864Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:94a736df0d105869271930a8f42250172c0ac4430593c8504512f5b6641dd935

Observation c7e4d8a3-06ff-4609-bee5-537fe81fa7b8 · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations A Unified Approach to Interpreting Model Predictions

Reference 57

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T03:05:20.856639Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:a896a79a3d512d86ff84dece75bf256c2a4c62b588fb247cc59568500f2a685a

Observation 89f743f1-8994-463c-ae55-09089209efca · outbound

This paper cites Meta AI Blog.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Meta AI Blog

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.957880Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:5c4a52d413304e02ffe5ab69196e4672092d61a6c7248098dd8536f7923def74

Observation 9c2dbd92-a309-462e-8f76-39e0594d3d9a · outbound

This paper cites ACM Computing Surveys 55(13s):1--42.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations ACM Computing Surveys 55(13s):1--42

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:22.013969Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:aae6dae75eb8c44b4eba1a5f6bbd7e209c6f0b6089d50e4e226868750df766fc

Observation ab8dce31-422d-4ea3-80fa-5731f44c2894 · outbound

This paper cites an unresolved cited work.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-05-23T03:05:21.944431Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:dc095d40398ae0260a2a95030b12bccce795e9945bff9fa18429074efa53ff48

Observation cf28d1dd-b8cb-49dd-9419-c40da94d0ddc · outbound

This paper cites Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks

Reference 61

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T03:05:20.817592Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:5b257151ce79fd49fa9105bdbc71a5a7adf88c211cf49d6ff2d429c87d2a745d

Observation 8fddb1ee-e0dd-4829-bba4-2b9f36e03713 · outbound

This paper cites Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence, 2690--2696.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence, 2690--2696

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.947453Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:d11b9b2829ba3fb97ad486f8d3b8cb6e70c3961ad9d948d3068ac717e441a98c

Observation 2ec0d22d-e3f5-4458-b7e8-325040abc925 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence, volume 34, 873--880.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the AAAI Conference on Artificial Intelligence, volume 34, 873--880

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:22.017279Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:e30a51ddc5e419c4a2964a74e2dd6340df1ec6d8d16b1a3569b81c45ccf20a5f

Observation c38165f3-2a47-4066-af12-ddc2f4a83df0 · outbound

This paper cites Normalization: A Preprocessing Stage.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Normalization: A Preprocessing Stage

Reference 64

Resolution
verified exact
local_arxiv, observed 2026-05-23T03:05:20.831144Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:524671eebcaa298f1f6f1591050296c7a0ed06bd349d9e2342de1beacc13ae0f

Observation 0422c7fa-82a4-497f-b9ef-db8b44cd1629 · outbound

This paper cites an unresolved cited work.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-05-23T03:05:22.016258Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:4e3ef401125409e080900caaa6581b974cb6d14a0015c25e59b45a234d65cb36

Observation 944efa20-6c37-45ef-bfa8-5e1de3ed383f · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology 78(5):947--1012.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.903798Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:fe9caac3c98df861831822a9ddd87e42e14631dae84ab72714111a44f49e9176

Observation a2b5413d-11bb-48d9-8609-54c7919a56ec · outbound

This paper cites (2019) Language models are unsupervised multitask learners.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations (2019) Language models are unsupervised multitask learners

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:22.003061Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:35a0a6f6c94bac4fa4a08a2c07b6e1bc880644ae2f005e60ba7c50228b9bf679

Observation 6e14282b-53fc-4adb-8339-fa1ef61bc122 · outbound

This paper cites Marketing Science.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Marketing Science

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.872104Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:b9b3de0723d2c7464c0a667bf88e18bc3979dd5e98d3d7cdb587c646bf66962f

Observation 6d2aa9d7-d194-42e5-adee-0c0f5f8e4ea9 · outbound

This paper cites Available at SSRN.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Available at SSRN

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.884896Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:cd40022cdd45c6115ecc6eeaed72cd08d48514bc89919942286a522533164d56

Observation 048cf2fe-277e-4f5b-967f-42a177feacae · outbound

This paper cites Proceedings of the ACM on Web Conference 2024, 3464--3475.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the ACM on Web Conference 2024, 3464--3475

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.889067Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:d17475380b99c6cebb48330a57b662a07f71e6adcd8df4811c5b78bcd8923994

Observation 326f6daa-5b1a-48b8-b409-8e8104e8d522 · outbound

This paper cites Recommender systems handbook, 1--35 (Springer).

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Recommender systems handbook, 1--35 (Springer)

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.904520Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:9ee6ab9e868316705fe0abb1f5321f5f0e42babfd92c3c0343bd43a96998e18f

Observation 4ba0c803-d978-43fe-ae61-09314610a212 · outbound

This paper cites Proceedings of the 1st ACM conference on Electronic commerce, 158--166.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the 1st ACM conference on Electronic commerce, 158--166

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.821880Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:2ee8f710f3b627f03584a4356bc6cc872edcf8c00355e8925064d1a4b8d2781d

Observation 191bc91e-050e-40e4-b463-599cd12e0e7a · outbound

This paper cites It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:05:20.847128Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:da8d582efbd696cadc6c2ea5d18e4dd1e55cbb094c72bf14cb08567adabb7936

Observation ca790ecb-f387-4546-8232-e95daed2c74f · outbound

This paper cites The Annals of Statistics 48(4):1875--1897, ://dx.doi.org/10.1214/19-AOS1875.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations The Annals of Statistics 48(4):1875--1897, ://dx.doi.org/10.1214/19-AOS1875

Reference 74

Resolution
verified exact
doi, observed 2026-05-23T03:05:20.117697Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:4d4ac476c2d60efd247e5b17ddf9998ab22a56ad6ea4b7fdad1d0a53c68446d3

Observation cdf5b9eb-104c-4886-8742-7c884346cc23 · outbound

This paper cites Preprint, submitted August 3:2024.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Preprint, submitted August 3:2024

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.999673Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:f2729e610d50cd7900391f62adff70f2954f56d72d47eb6892e7a0fe66f46aa7

Observation 56c593e8-e58b-4c2e-944a-99928fa77b2b · outbound

This paper cites CNET, January 10.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations CNET, January 10

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.996872Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:73389e137903cda91393f75b9b6dffa2e0ad171b18ef48165dc8e7db559cba5f

Observation 83b6653e-51bd-42e8-8924-7de25d8fb4e9 · outbound

This paper cites Obtaining Faithful Interpretations from Compositional Neural Networks.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Obtaining Faithful Interpretations from Compositional Neural Networks

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:05:20.909086Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:1095cce07798705ce4230513c928938a3e17d975271a0ca488c7ffbc6f659cdb

Observation 565f80d4-f2a2-4a58-924a-b1f493f436d1 · outbound

This paper cites CIKM '19 , 1441--1450.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations CIKM '19 , 1441--1450

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:22.006946Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:fad7751101dd6195e4e784680ef90bf5ff0234c94bac1f59f82e63e7692ca417

Observation 1ece1477-da9a-49ef-8812-fdc9042924ac · outbound

This paper cites Sparse and Faithful Explanations Without Sparse Models.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Sparse and Faithful Explanations Without Sparse Models

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:05:20.899446Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:eef57c95a355e3884a9bf569da55166f0aee1f8c62f2ab66e5ba4036ee8e8e06

Observation 33a72b5b-f54f-4941-87a0-8f9c09ca6f95 · outbound

This paper cites Proceedings of the 27th International Conference on Neural Information Processing Systems-Volume 2, 3104--3112.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the 27th International Conference on Neural Information Processing Systems-Volume 2, 3104--3112

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.989408Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:8909af9f20153cbd51f7f0da9d9554a0184924cc73341898f7c0c19a46cf8519

Observation c6f085ef-bff3-41f5-a0e8-6219171f9782 · outbound

This paper cites Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining, 2269--2279.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining, 2269--2279

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.985625Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:4082157085518cac02e006316758f37fc11540a68907f4e01682e5d8e8b4e410

Observation eb788c71-fde9-44ec-aae1-e9b83459eabd · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology 58(1):267--288.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Journal of the Royal Statistical Society Series B: Statistical Methodology 58(1):267--288

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.982108Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:ab8af9460988a493433842da70fbfa121a352d4f006efcef8214c5014810560f

Observation 718a39de-b709-488f-9983-15658f1bfba5 · outbound

This paper cites Leveraging LLM Reasoning Enhances Personalized Recommender Systems.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Leveraging LLM Reasoning Enhances Personalized Recommender Systems

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:05:20.895157Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:e1ae8799f444cafb947b1f6c9f1c85968e609a951886445591b0ac52b7ba0036

Observation 844a8536-0e5d-44c9-a967-fa41d3fb11b3 · outbound

This paper cites Advances in Neural Information Processing Systems.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Advances in Neural Information Processing Systems

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.993200Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:bd90b838ce6640e623bda4fb1f686ae23d829fb35ed40019ceb7d4942f49bda5

Observation c12b9a5a-262e-4137-8d89-179a30681ec9 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 9097--9107.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 9097--9107

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:22.010889Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:514c5c8a2884c47be32a7b983497212c0b34508e3ddf4147616bb2fb4f8f5a7b

Observation 210049fb-34b1-40d4-967b-b6aca446291b · outbound

This paper cites Rethinking Large Language Model Architectures for Sequential Recommendations.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Rethinking Large Language Model Architectures for Sequential Recommendations

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:05:20.913722Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:74cce4053cb24b8cf3c9e46b0236fd4184e406167f48469e9957eed5457b52e4

Observation 7c3e199c-88eb-47fb-8d98-d9e189b2aa88 · outbound

This paper cites LLM4Vis: Explainable Visualization Recommendation using ChatGPT.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations LLM4Vis: Explainable Visualization Recommendation using ChatGPT

Reference 87

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T03:05:20.889976Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:e5bb35d5f57f95bba78b44edd35f089471ae4af8c8ae0d40e9fa08de2362e987

Observation 007b2104-699b-4e3c-8567-9a5b2069fa7b · outbound

This paper cites (2024 b ) Limaml: Personalization of deep recommender models via meta learning.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations (2024 b ) Limaml: Personalization of deep recommender models via meta learning

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.978477Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:78c25eb3ada83e7b69d90f6dcda4375fb599890de82f08ac8f96bd5a561c27f5

Observation c1150a4a-48aa-4b39-9c65-5cfcc0d9f99c · outbound

This paper cites Sequential Recommender Systems: Challenges, Progress and Prospects.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Sequential Recommender Systems: Challenges, Progress and Prospects

Reference 89

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T03:05:20.878713Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:3a7bb195c358e3fec990297af9ab86823f1aa6c007581de746f5f00499e7e65d

Observation 746c1ac1-5e4c-40cf-b1e6-7ed0d4061c38 · outbound

This paper cites 2018 IEEE international conference on data mining (ICDM), 587--596 (IEEE).

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations 2018 IEEE international conference on data mining (ICDM), 587--596 (IEEE)

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.961405Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:96dd0c493c3d2f4a7a1d4672171be01e3d89297e1818aea4b72aa4158e909d66

Observation acd16605-52a5-41d0-ac77-a43ab55bf941 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence, volume 33, 5329--5336.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the AAAI conference on artificial intelligence, volume 33, 5329--5336

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.953987Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:eaa3d83236d01b915edbfc76672631f8e9092001534827c608194acf9976e9f4

Observation dfa81af5-321c-49a8-a367-d8bd1f604d0f · outbound

This paper cites LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:05:20.873003Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:6f2c9ebe31148f8f4a9e65a9637b3ccfd781ec74c4023942eeb68987d95a6c15

Observation 3108c922-c9f9-4aed-95cc-16c798e9a3b3 · outbound

This paper cites Available at SSRN 4930677.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Available at SSRN 4930677

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.957341Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:c891c054e6d7e5ad4de8d7e1dc7ca57751fb816feab16ad269647eca4a4247f5

Observation 4aee5340-958c-4825-80e8-46d0080c99b0 · outbound

This paper cites Marketing Science.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Marketing Science

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.964576Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:b77492a1fd69f92490328ba3f9e023e636613d28b2c4b5f3e8b6cc7e00429b95

Observation 2900fe3d-7389-4201-85a6-aaaa48faa1d2 · outbound

This paper cites Proceedings of the ACM Web Conference 2022, 3009--3019.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Proceedings of the ACM Web Conference 2022, 3009--3019

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.970696Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:b388a632fc8b4b53a573cdc333d00144dcb20eb62fc353f8b3d01f1ecdad6ff1

Observation e2c130ad-a589-48c3-bf30-b7a108fccc89 · outbound

This paper cites (2022) Chain-of-thought prompting elicits reasoning in large language models.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations (2022) Chain-of-thought prompting elicits reasoning in large language models

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.950781Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:28ebb9c5d00493b1175df7ccd3c71aae542aa58dc5ca739d6792756ae7ce6759

Observation 9d941c18-e388-44cc-9476-fcec755c4225 · outbound

This paper cites (2024) A survey on large language models for recommendation.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations (2024) A survey on large language models for recommendation

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T03:05:21.974681Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:fe9e695edcfa86acc017bc76ce88efaba9b0fdde8a82ee5b9f24575be83d6ce2

Observation 721b456b-dfcb-428e-b369-8d51b7a1b936 · outbound

This paper cites Large Language Model Can Interpret Latent Space of Sequential Recommender.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Large Language Model Can Interpret Latent Space of Sequential Recommender

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:05:20.868568Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:431cb0c6d3f4cf003447d64dd1e655641960d81cf12c5a8e708e05aa03dfbd43

Observation 76a55c62-c906-4a82-addc-099f85924d01 · outbound

This paper cites LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:05:20.864560Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:23864b8979ac879826a59d2e3b17dfe1c4771399d5bcf0bb59c8e5d10bf6a866

Observation 2af16a2c-5365-41f8-8068-9a1bc0efad46 · outbound

This paper cites Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Reference 100

Resolution
verified exact
local_arxiv, observed 2026-05-23T03:05:20.860537Z

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.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:7d2b6ba333ba3057a032d05d1b7e9a69bf13a84f4e9c114c3eaedbea325f967d

Pith citing papers

Observation efbf2b63-15ef-4dae-8451-1bde6549e61a · inbound

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges cites this paper.

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations

Reference 250

Resolution
verified exact
local_arxiv, observed 2026-06-28T18:42:29.357253Z

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.

source=pdf_text observed=2026-06-28T18:41:06.636352Z digest=sha256:678ff1a64ebcf57ea54ced9931552f4acd82323a7aa09239560cd4d253cc0250