Paper Citation Record · LEDGER

Multi-Task Deep Recommender Systems: A Survey

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2302.03525.

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

pith.paper-citation-record.v1
2302.03525 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:28:25.602285Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:49:56.206362Z

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 71dcf826-68ce-4fe2-ae89-5137df94c030 · inbound

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models cites this paper.

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Multi-Task Deep Recommender Systems: A Survey

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T21:49:26.692285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9806e2c3-dd01-407a-8186-f8b9039616f2 · inbound

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods cites this paper.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Multi-Task Deep Recommender Systems: A Survey

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T14:21:47.737295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9408357e-a4da-4f01-904c-8a1a1cafd398 · inbound

CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval cites this paper.

CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval Multi-Task Deep Recommender Systems: A Survey

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T12:28:25.602285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd60eaaf-271d-4c79-8268-185c303ab463 · inbound

Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation cites this paper.

Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation Multi-Task Deep Recommender Systems: A Survey

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:00.884054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f230b02-3e75-40d5-9912-266da8509e9e · inbound

STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation cites this paper.

STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation Multi-Task Deep Recommender Systems: A Survey

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T23:56:01.025995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 926d7ff3-971d-4d24-ad72-8c92f9ed4b6c · inbound

The Evolution of Embedding Table Optimization and Multi-Epoch Training in Pinterest Ads Conversion cites this paper.

The Evolution of Embedding Table Optimization and Multi-Epoch Training in Pinterest Ads Conversion Multi-Task Deep Recommender Systems: A Survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T23:07:01.835453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6df5d09d-ad55-43ac-9d33-7fc015ec0aa8 · inbound

Macro Graph of Experts for Billion-Scale Multi-Task Recommendation cites this paper.

Macro Graph of Experts for Billion-Scale Multi-Task Recommendation Multi-Task Deep Recommender Systems: A Survey

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:30:57.381023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6e0c2ac-244d-4361-be83-6c1b126f93a0 · inbound

Training-free LLM Merging for Multi-task Learning cites this paper.

Training-free LLM Merging for Multi-task Learning Multi-Task Deep Recommender Systems: A Survey

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:44.690359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8c69e8c-c29e-4f60-a859-b341bdaf753a · inbound

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs cites this paper.

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs Multi-Task Deep Recommender Systems: A Survey

Reference 351

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:36.985960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5591bbc2-61a4-4cb3-9159-ad9d43b0b1b7 · inbound

PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching cites this paper.

PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching Multi-Task Deep Recommender Systems: A Survey

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T18:54:43.018874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d014d0c-97c1-4044-b665-2b9a85579567 · inbound

Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs cites this paper.

Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs Multi-Task Deep Recommender Systems: A Survey

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T12:03:51.438404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4877d4cf-1300-4173-8ede-44e93305998e · inbound

UniFormer: Efficient and Unified Model-Centric Scaling for Industrial Recommendation cites this paper.

UniFormer: Efficient and Unified Model-Centric Scaling for Industrial Recommendation Multi-Task Deep Recommender Systems: A Survey

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:49:56.207892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f462fb0b-f3b3-431f-82cb-8a6622bb3bbb · inbound

IntHQ: Task-Interactive Hierarchical Query on Dual-Stream Representations for Generative Recommendation cites this paper.

IntHQ: Task-Interactive Hierarchical Query on Dual-Stream Representations for Generative Recommendation Multi-Task Deep Recommender Systems: A Survey

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-11T13:48:29.347071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.