Paper Citation Record · LEDGER

Cross-Domain Recommendation: Challenges, Progress, and Prospects

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2103.01696.

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

pith.paper-citation-record.v1
2103.01696 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:56:31.078429Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T20:42:37.299503Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dfb7cf0e-cfba-4a5f-ab30-78d7b5271369 · inbound

Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat cites this paper.

Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat Cross-Domain Recommendation: Challenges, Progress, and Prospects

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T04:56:31.078429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60941560-769e-4554-958d-4381c5357ea5 · inbound

Revisiting Self-attention for Cross-domain Sequential Recommendation cites this paper.

Revisiting Self-attention for Cross-domain Sequential Recommendation Cross-Domain Recommendation: Challenges, Progress, and Prospects

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:27.895907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04484a24-6399-4d52-bb0e-2545c83ac90a · inbound

LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation cites this paper.

LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation Cross-Domain Recommendation: Challenges, Progress, and Prospects

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T20:05:22.902551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 437982e0-a654-47e0-b5df-0050fe8b2341 · inbound

Leave No One Behind: Fairness-Aware Cross-Domain Recommender Systems for Non-Overlapping Users cites this paper.

Leave No One Behind: Fairness-Aware Cross-Domain Recommender Systems for Non-Overlapping Users Cross-Domain Recommendation: Challenges, Progress, and Prospects

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T18:24:28.367396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d966e3c8-ba78-4113-9355-fbb752d4f1ea · inbound

Affect-aware Cross-Domain Recommendation for Art Therapy via Music Preference Elicitation cites this paper.

Affect-aware Cross-Domain Recommendation for Art Therapy via Music Preference Elicitation Cross-Domain Recommendation: Challenges, Progress, and Prospects

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T16:21:59.825433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e87e01f-a252-41e5-98a9-84c7adacf045 · inbound

Evaluating Recabilities of Foundation Models: A Multi-Domain, Multi-Dataset Benchmark cites this paper.

Evaluating Recabilities of Foundation Models: A Multi-Domain, Multi-Dataset Benchmark Cross-Domain Recommendation: Challenges, Progress, and Prospects

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T14:24:24.858493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4187f45c-7c88-40da-959c-52ba6953b071 · inbound

RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation cites this paper.

RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation Cross-Domain Recommendation: Challenges, Progress, and Prospects

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-05T11:19:54.314676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cb2eaec-6ace-4efb-9602-95fb625ac42c · inbound

Multi-TAP: Multi-criteria Target Adaptive Persona Modeling for Cross-Domain Recommendation cites this paper.

Multi-TAP: Multi-criteria Target Adaptive Persona Modeling for Cross-Domain Recommendation Cross-Domain Recommendation: Challenges, Progress, and Prospects

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-15T13:29:23.443771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38ceb273-8ffc-4bbb-bd0c-46de7128cb75 · inbound

SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation cites this paper.

SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation Cross-Domain Recommendation: Challenges, Progress, and Prospects

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:47:41.989311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a15354cd-f897-4543-b2c5-474229f9567c · inbound

HORIZON: A Benchmark for In-the-wild User Behaviour Modeling cites this paper.

HORIZON: A Benchmark for In-the-wild User Behaviour Modeling Cross-Domain Recommendation: Challenges, Progress, and Prospects

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:21:26.912894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 158bc820-91f1-4f85-8fbe-015eb9d3b3b6 · inbound

Synthetic Data from Cross-Domain Events for Large-Scale Recommendation Systems cites this paper.

Synthetic Data from Cross-Domain Events for Large-Scale Recommendation Systems Cross-Domain Recommendation: Challenges, Progress, and Prospects

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-28T20:42:37.301413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 242b9b6f-fb64-41ab-8c8b-2f800ec5c9ab · inbound

Hierarchical Quantization with Domain-Adaptive Sparse Routing for Generative Cross-Domain Recommendation cites this paper.

Hierarchical Quantization with Domain-Adaptive Sparse Routing for Generative Cross-Domain Recommendation Cross-Domain Recommendation: Challenges, Progress, and Prospects

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T16:58:44.331492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.