Paper Citation Record · LEDGER

Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2501.01945.

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

pith.paper-citation-record.v1
2501.01945 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:04:31.966400Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T19:05:01.128650Z

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 4d036515-168c-4311-b68d-075293f6f93e · inbound

Causal-Invariant Cross-Domain Out-of-Distribution Recommendation cites this paper.

Causal-Invariant Cross-Domain Out-of-Distribution Recommendation Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T15:04:31.966400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cd14638-7256-4f4a-8548-6ec0c2267c58 · inbound

AliBoost: Ecological Boosting Framework in Alibaba Platform cites this paper.

AliBoost: Ecological Boosting Framework in Alibaba Platform Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T11:59:46.120558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aa43398-7793-41c8-aedb-92a097d67dce · inbound

RecGPT: A Foundation Model for Sequential Recommendation cites this paper.

RecGPT: A Foundation Model for Sequential Recommendation Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T06:01:36.186586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8f05679-1277-4bd5-8ef2-d131f1148917 · inbound

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

Macro Graph of Experts for Billion-Scale Multi-Task Recommendation Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T04:30:57.404994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82b635d8-226c-459e-a0a1-8fff98bb4b1b · inbound

NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration cites this paper.

NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:13:01.731963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e5a6473e-7c11-4162-b427-76a0a6a51582 · inbound

SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation cites this paper.

SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:39.579709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4614e204-f991-4f9b-9189-c8f5b66130e2 · inbound

Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation cites this paper.

Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T11:02:13.469186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fa48c72-e37e-442d-aed7-4b16084f5161 · inbound

Leveraging Artist Catalogs for Cold-Start Music Recommendation cites this paper.

Leveraging Artist Catalogs for Cold-Start Music Recommendation Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:05:58.951054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2a21416b-6b28-4b1b-ae9a-aec440d30549 · inbound

Sparse Contrastive Learning for Content-Based Cold Item Recommendation cites this paper.

Sparse Contrastive Learning for Content-Based Cold Item Recommendation Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:20:30.312606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bb391263-1662-4393-971d-6aed8690310f · inbound

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation cites this paper.

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

Reference 161

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:31:22.220777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 33afdd65-55cf-4a93-baea-101d004d43f1 · inbound

Uncertainty-Calibrated Recommendations for Low-Active Users cites this paper.

Uncertainty-Calibrated Recommendations for Low-Active Users Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-20T01:43:19.181711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6f3a6157-faad-48d8-9c4d-0d104568a3cd · inbound

Uncertainty-Calibrated Recommendations for Low-Active Users cites this paper.

Uncertainty-Calibrated Recommendations for Low-Active Users Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:05:01.130572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bbb577b0-5641-4ea6-a439-3f609b815d6c · inbound

Towards Sustainable Growth: A Multi-Value-Aware Retrieval Framework for E-Commerce Search cites this paper.

Towards Sustainable Growth: A Multi-Value-Aware Retrieval Framework for E-Commerce Search Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:52:54.868722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 300e7ab7-8cfe-4435-9f0e-d97da39aa1dc · inbound

Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback cites this paper.

Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-29T09:33:17.333712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4ab5f590-5ab6-499d-93bf-982519d48201 · inbound

From Raw IDs to Semantic Planning: How Recommender Systems Utilize Information at Scale cites this paper.

From Raw IDs to Semantic Planning: How Recommender Systems Utilize Information at Scale Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-13T02:17:16.415801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1da6997-0ece-4739-b11c-91ca77f60b94 · inbound

From Raw IDs to Semantic Planning: How Recommender Systems Utilize Information at Scale cites this paper.

From Raw IDs to Semantic Planning: How Recommender Systems Utilize Information at Scale Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T07:33:47.232241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba12b258-59bc-44f7-9fa3-a05dc87029b5 · inbound

Learning Sparse Representations of Multimodal Content for Enhanced Cold Item Recommendation cites this paper.

Learning Sparse Representations of Multimodal Content for Enhanced Cold Item Recommendation Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-01T18:50:10.708737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.