Paper Citation Record · LEDGER

Generating Diverse Synthetic Datasets for Evaluation of Real-life Recommender Systems

As of 15 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2412.06809.

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

pith.paper-citation-record.v1
2412.06809 v1

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:28:56.585570Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

8 of 8 outbound references displayed

verified exact2
verified fuzzy5
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4308e983-7669-4145-b7c4-37e7ccd47953 · outbound

This paper cites Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions.

Generating Diverse Synthetic Datasets for Evaluation of Real-life Recommender Systems Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-12T11:28:56.673650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b9d6f10c-4fee-4cf1-80e4-031175af0fd2 · outbound

This paper cites Slokom, Comparing recommender systems using synthetic data, in: Proceedings of the 12th ACM Conference on Recommender Systems, 2018, pp.

Generating Diverse Synthetic Datasets for Evaluation of Real-life Recommender Systems Slokom, Comparing recommender systems using synthetic data, in: Proceedings of the 12th ACM Conference on Recommender Systems, 2018, pp

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:28:56.757298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 11eb99f5-b3d6-47d6-b621-279b372ccace · outbound

This paper cites Berlioz, A.

Generating Diverse Synthetic Datasets for Evaluation of Real-life Recommender Systems Berlioz, A

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:28:56.739742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ef4e3bc6-f945-41f7-8573-62caa9ad950c · outbound

This paper cites Antulov-Fantulin, M.

Generating Diverse Synthetic Datasets for Evaluation of Real-life Recommender Systems Antulov-Fantulin, M

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:28:56.722943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dc4fafca-53b3-4473-a834-430111edcf7b · outbound

This paper cites Scalable Realistic Recommendation Datasets through Fractal Expansions.

Generating Diverse Synthetic Datasets for Evaluation of Real-life Recommender Systems Scalable Realistic Recommendation Datasets through Fractal Expansions

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-12T11:28:56.650176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 14fdb130-f430-48d7-b118-dd2735048f9e · outbound

This paper cites Provalov, E.

Generating Diverse Synthetic Datasets for Evaluation of Real-life Recommender Systems Provalov, E

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:28:56.706782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e43153a2-93aa-408e-bd8f-e792e102ae19 · outbound

This paper cites Shen, Deepctr: Easy-to-use,modular and extendible package of deep-learning based ctr models, https://github.com/shenweichen/deepctr, 2017.

Generating Diverse Synthetic Datasets for Evaluation of Real-life Recommender Systems Shen, Deepctr: Easy-to-use,modular and extendible package of deep-learning based ctr models, https://github.com/shenweichen/deepctr, 2017

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:28:56.690628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 04ac3787-54bd-4db9-9704-7c09f38da50c · outbound

This paper cites DeepFM: A Factorization-Machine based Neural Network for CTR Prediction.

Generating Diverse Synthetic Datasets for Evaluation of Real-life Recommender Systems DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T11:28:56.585570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.