Paper Citation Record · LEDGER

Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion

As of 22 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 1 inbound Pith citation observation for arXiv:2502.03664.

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

pith.paper-citation-record.v1
2502.03664 v1

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:14:49.308779Z

measured 9 of 9 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 2026-08-15T22:55:36.761763Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T22:55:36.894455Z

Reference resolution

8 of 8 outbound references displayed

verified exact0
verified fuzzy8
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 62b2ae2a-bff8-4447-b408-fcef5e05ba76 · outbound

This paper cites PRIVACY-PRESERVING COLLABORATIVE FILTERING FOR PERSONALIZED RECOMMENDATIONS[J].

Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion PRIVACY-PRESERVING COLLABORATIVE FILTERING FOR PERSONALIZED RECOMMENDATIONS[J]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:14:49.457798Z

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 88ea8873-cef0-4f1d-93ef-93597826c83e · outbound

This paper cites Evidence-Based Practice Recommendations for the use of a Cardiac Optimization Algorithm in Patients Undergoing a Whipple Procedure[D].

Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion Evidence-Based Practice Recommendations for the use of a Cardiac Optimization Algorithm in Patients Undergoing a Whipple Procedure[D]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:14:49.465984Z

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 569ca33d-e4a6-42a8-8186-9400a0ec49e1 · outbound

This paper cites Artificial intelligence robots based on machine learning and visual algorithms for interactive experience assistance in music classrooms[J].

Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion Artificial intelligence robots based on machine learning and visual algorithms for interactive experience assistance in music classrooms[J]

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:14:49.380604Z

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 2c742190-5add-4a71-b7bd-45db31c97204 · outbound

This paper cites What Is an Algorithm?: Traditional vs.

Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion What Is an Algorithm?: Traditional vs

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:14:49.371047Z

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 90f04882-4d91-4636-b740-da0b557b4f33 · outbound

This paper cites Navigating AI Biases in Education: A Foundation for Equitable Learning[M]//AI Applications and Strategies in Teacher Education.

Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion Navigating AI Biases in Education: A Foundation for Equitable Learning[M]//AI Applications and Strategies in Teacher Education

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:14:49.362270Z

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 fb8babad-57b8-43e0-b5e1-a6ef58509d8d · outbound

This paper cites Leveraging Artificial Intelligence in Healthcare: Safeguarding Human Rights through State Policies[M]//Intersection of Human Rights and AI in Healthcare.

Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion Leveraging Artificial Intelligence in Healthcare: Safeguarding Human Rights through State Policies[M]//Intersection of Human Rights and AI in Healthcare

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:14:49.352312Z

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 5b2a50c9-2e23-4915-8a36-4c9120596d18 · outbound

This paper cites Design of news sentiment classification and recommendation system based on multi-model fusion and text similarity[J].

Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion Design of news sentiment classification and recommendation system based on multi-model fusion and text similarity[J]

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:14:49.343380Z

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 e3767fda-429a-40c2-bd9f-a1e23998aeb3 · outbound

This paper cites Understanding the influence of data characteristics on the performance of point-of-interest recommendation algorithms[J].

Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion Understanding the influence of data characteristics on the performance of point-of-interest recommendation algorithms[J]

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:14:49.334305Z

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.

Pith citing papers

Observation 4e10af75-a3da-441d-8a1f-5a87af9423ba · inbound

Modeling Multi-Hop Semantic Paths for Recommendation in Heterogeneous Information Networks cites this paper.

Modeling Multi-Hop Semantic Paths for Recommendation in Heterogeneous Information Networks Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:55:36.898593Z

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.