Paper Citation Record · LEDGER

Dataset-Agnostic Recommender Systems

As of 21 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2501.07294.

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

pith.paper-citation-record.v1
2501.07294 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:48:15.704777Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:09:48.727045Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:09:48.821645Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy23
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6a0ee642-9e2e-48ab-bb89-7e0144f91765 · outbound

This paper cites Language Models are Few-Shot Learners.

Dataset-Agnostic Recommender Systems Language Models are Few-Shot Learners

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T20:48:14.674743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5bc41b6-5690-430e-820c-f8d46fea4753 · outbound

This paper cites Secon d workshop on information hetero- geneity and fusion in recommender systems (hetrec2011).

Dataset-Agnostic Recommender Systems Secon d workshop on information hetero- geneity and fusion in recommender systems (hetrec2011)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:19.097993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e341f8ed-53c1-492e-b474-6c47fc0c1433 · outbound

This paper cites Item-based top-n r ecommendation algorithms.

Dataset-Agnostic Recommender Systems Item-based top-n r ecommendation algorithms

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:18.914758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 846fbbf2-59fe-4e24-b6a2-ab0f89a04d9e · outbound

This paper cites Neu ral architecture search: A survey.

Dataset-Agnostic Recommender Systems Neu ral architecture search: A survey

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:18.786872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7621877e-baeb-4cf5-b31f-8f6c657b4fcb · outbound

This paper cites Recommenders in the wild - pr actical evaluation methods.

Dataset-Agnostic Recommender Systems Recommenders in the wild - pr actical evaluation methods

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:18.704927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8d08e024-fc74-429a-9384-2c85d04fa116 · outbound

This paper cites A trou- bling analysis of reproducibility and progress in recommen der systems research.

Dataset-Agnostic Recommender Systems A trou- bling analysis of reproducibility and progress in recommen der systems research

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:18.588050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 53d4fe99-1d28-4f5f-b37d-0ab4898fa221 · outbound

This paper cites Are we really making much progress? a worrying analysis of recent neural recomme ndation approaches.

Dataset-Agnostic Recommender Systems Are we really making much progress? a worrying analysis of recent neural recomme ndation approaches

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:18.448473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 05b44433-7950-4378-b82a-e55d589a3c59 · outbound

This paper cites Automl: A survey of the state-of-the-art.

Dataset-Agnostic Recommender Systems Automl: A survey of the state-of-the-art

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:48:14.955934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c79500c-ca32-4889-9eea-47f06ce2951b · outbound

This paper cites The effect of third pa rty implementations on repro- ducibility.

Dataset-Agnostic Recommender Systems The effect of third pa rty implementations on repro- ducibility

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:18.325137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2fb9c3f6-03dc-481a-a4b1-b8160de225d1 · outbound

This paper cites Erase: Benchmarking fe ature selection methods for deep recommender systems.

Dataset-Agnostic Recommender Systems Erase: Benchmarking fe ature selection methods for deep recommender systems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:18.231950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8b077d34-3f6e-4d20-8401-967314f58bb5 · outbound

This paper cites Which is more effective in label noise cleaning, correction or ﬁltering? In Proceedings of the AAAI Conference on Artiﬁcial Intelligence , volume 38, pages 12866–12873, 2024.

Dataset-Agnostic Recommender Systems Which is more effective in label noise cleaning, correction or ﬁltering? In Proceedings of the AAAI Conference on Artiﬁcial Intelligence , volume 38, pages 12866–12873, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:18.074761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5c936576-1f21-4cde-9ae1-6b4859ac5939 · outbound

This paper cites P osition: A call to action for a human-centered AutoML paradigm.

Dataset-Agnostic Recommender Systems P osition: A call to action for a human-centered AutoML paradigm

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:17.934899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c4d27bbc-10c0-44ed-a43e-9d6da43a0b25 · outbound

This paper cites Feature transformation an d subset selection.

Dataset-Agnostic Recommender Systems Feature transformation an d subset selection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:17.854749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb6f5099-01e6-4009-94ba-7f690c4b4443 · outbound

This paper cites Online Meta-Learning for Model Update Aggregation in Federated Learning for Clic k-Through Rate Prediction.

Dataset-Agnostic Recommender Systems Online Meta-Learning for Model Update Aggregation in Federated Learning for Clic k-Through Rate Prediction

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:17.694756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9fbffbf0-3e48-4ea0-b2f7-05f42d86e5ce · outbound

This paper cites Exploring the limits of tr ansfer learning with a uniﬁed text-to-text transformer.

Dataset-Agnostic Recommender Systems Exploring the limits of tr ansfer learning with a uniﬁed text-to-text transformer

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:17.573562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 98f00f9b-b9e8-4f4d-8a4a-94f9b2995945 · outbound

This paper cites Intr oduction to recommender systems handbook.

Dataset-Agnostic Recommender Systems Intr oduction to recommender systems handbook

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:17.445808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 14ac0722-0b8e-414d-bfbb-36758ee9aca8 · outbound

This paper cites Handling m issing values when applying classiﬁ- cation models.

Dataset-Agnostic Recommender Systems Handling m issing values when applying classiﬁ- cation models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:17.394762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1992fa7c-1423-4a6d-bced-bce04bb4688d · outbound

This paper cites Selecting a classiﬁcation method by c ross-validation.

Dataset-Agnostic Recommender Systems Selecting a classiﬁcation method by c ross-validation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:17.274756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 135da578-18d4-40ca-95eb-ecacdc5b03be · outbound

This paper cites Generic base standards.

Dataset-Agnostic Recommender Systems Generic base standards

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:17.114756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b2377c5c-c368-4407-8d29-043d3b5ee13c · outbound

This paper cites RBoard: A Unified Platform for Reproducible and Reusable Recommender System Benchmarks.

Dataset-Agnostic Recommender Systems RBoard: A Unified Platform for Reproducible and Reusable Recommender System Benchmarks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T20:48:15.494756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89497526-9264-41c3-9198-54be79dbaa40 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Dataset-Agnostic Recommender Systems LLaMA: Open and Efficient Foundation Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T20:48:15.544762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation facdfb28-053e-4310-81b3-8263e85ba975 · outbound

This paper cites Advancing automation of design decision s in recommender system pipelines.

Dataset-Agnostic Recommender Systems Advancing automation of design decision s in recommender system pipelines

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:16.993684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 686498ad-be1c-4f39-b7c7-32168e01560b · outbound

This paper cites Toward e fﬁcient automated feature engineering.

Dataset-Agnostic Recommender Systems Toward e fﬁcient automated feature engineering

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:16.856885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation be0817cd-5370-4a71-b442-4d776772cd4f · outbound

This paper cites Au- torec: An automated recommender system.

Dataset-Agnostic Recommender Systems Au- torec: An automated recommender system

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:16.734855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bfa68352-e4cf-494b-b1a9-885722da3417 · outbound

This paper cites MM-GEF: Multi-modal representation meet collaborative filtering.

Dataset-Agnostic Recommender Systems MM-GEF: Multi-modal representation meet collaborative filtering

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T20:48:15.594140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c82e2d3-86f0-4177-83bb-245c2ea034ca · outbound

This paper cites On hyperparameter optimization of machine learning algorithms: Theory and practice.

Dataset-Agnostic Recommender Systems On hyperparameter optimization of machine learning algorithms: Theory and practice

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:16.564756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b26e0833-197d-4088-9c47-cd9404e7bed0 · outbound

This paper cites Click-through rate predicti on in online advertising: A literature review.

Dataset-Agnostic Recommender Systems Click-through rate predicti on in online advertising: A literature review

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:16.443005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5c41ae3b-ab9f-405e-8e4a-52fa7f100a72 · outbound

This paper cites Openfe: automated feature generation with expert-level performance.

Dataset-Agnostic Recommender Systems Openfe: automated feature generation with expert-level performance

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:48:16.331593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e951efea-0fcd-4310-b112-91c9c116e8c7 · outbound

This paper cites an unresolved cited work.

Dataset-Agnostic Recommender Systems Unresolved cited work

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T20:48:15.066882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a16fc283-198b-4d2c-b1c0-d65648bf2911 · inbound

Universal Reusability in Recommender Systems: The Case for Dataset- and Task-Independent Frameworks cites this paper.

Universal Reusability in Recommender Systems: The Case for Dataset- and Task-Independent Frameworks Dataset-Agnostic Recommender Systems

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:09:48.825889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.