Paper Citation Record · LEDGER

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2306.10933.

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

pith.paper-citation-record.v1
2306.10933 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:07:58.527057Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:37:31.913567Z

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 359a4004-5d88-404a-8936-c96f81e094ad · inbound

LIBER: Lifelong User Behavior Modeling Based on Large Language Models cites this paper.

LIBER: Lifelong User Behavior Modeling Based on Large Language Models Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T15:03:43.875705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37a4cf6b-c1d5-4c4a-9968-b1064d1cbcbd · inbound

Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization cites this paper.

Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T12:53:22.458354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 800609a1-5fce-4fe5-a042-d048ca994b07 · inbound

An Automatic Graph Construction Framework based on Large Language Models for Recommendation cites this paper.

An Automatic Graph Construction Framework based on Large Language Models for Recommendation Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-11T04:58:31.607094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d1a3e24-ce56-441a-94e1-75c3e31bdbff · inbound

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation cites this paper.

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-10T16:21:30.365820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b965417b-af56-435a-920d-2d6977376525 · inbound

Can Large Language Models Understand Preferences in Personalized Recommendation? cites this paper.

Can Large Language Models Understand Preferences in Personalized Recommendation? Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:33.780673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b304ea35-fc49-4204-bbda-05525f345cbb · inbound

RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models cites this paper.

RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:37:31.917220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 048a7f2a-03d9-49a1-88ff-d1358bfab6e9 · inbound

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms cites this paper.

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 107

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:58.527057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06b78789-6cfd-48b8-a536-595c489ba543 · inbound

LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis cites this paper.

LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T21:35:40.355655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 982410d3-f8fa-4f95-ae57-6c97400816f8 · inbound

Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation cites this paper.

Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T06:03:45.733261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14c4e4d3-df6d-4a86-9f62-b27b71c49241 · inbound

Heterogeneous User Modeling for LLM-based Recommendation cites this paper.

Heterogeneous User Modeling for LLM-based Recommendation Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:14.241423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77f520d1-f7b0-4fa8-8eaa-a07249f39381 · inbound

LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models cites this paper.

LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:57.242651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f2bf63b-a2a3-4733-b1ba-97548e91f5c2 · inbound

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation cites this paper.

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T18:02:16.915972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e233e529-875f-4ef0-a6db-6362c192e88b · inbound

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 102

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:56:11.515841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6ca26298-a0d0-4f96-9318-6330effd58f4 · inbound

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations cites this paper.

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:06:04.716353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6240edbb-d1af-4a4c-ad4a-c13d7b082a8a · inbound

Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation cites this paper.

Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:16:07.108357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.