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Paper Citation Record · LEDGER

Effectiveness of LLMs in Temporal User Profiling for Recommendation

As of 7 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2511.00176.

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

pith.paper-citation-record.v1
2511.00176 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:55:36.546268Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

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Outbound references

Observation 4a1d574b-709a-4e9b-b69a-fb0e642d91d7 · outbound

This paper cites BERT: Pre- training of deep bidirectional transformers for language understanding,.

Effectiveness of LLMs in Temporal User Profiling for Recommendation BERT: Pre- training of deep bidirectional transformers for language understanding,

Reference 1

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Observation 7262b5be-0f9a-4689-96aa-e0af871751f1 · outbound

This paper cites Attention is all you need,.

Effectiveness of LLMs in Temporal User Profiling for Recommendation Attention is all you need,

Reference 2

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Observation a61cd28d-9938-460f-84fb-8f9ea2277c9f · outbound

This paper cites Together is better: Hybrid recommendations combining graph embed- dings and contextualized word representations,.

Effectiveness of LLMs in Temporal User Profiling for Recommendation Together is better: Hybrid recommendations combining graph embed- dings and contextualized word representations,

Reference 3

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Observation ab48bc5c-8b49-4bdf-89aa-1a20fa0078a8 · outbound

This paper cites Collaborative filtering with temporal dynamics,.

Effectiveness of LLMs in Temporal User Profiling for Recommendation Collaborative filtering with temporal dynamics,

Reference 4

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Observation a03202ed-f9ea-4797-ba5e-b66e75d9fe3b · outbound

This paper cites Session-based Recommendations with Recurrent Neural Networks.

Effectiveness of LLMs in Temporal User Profiling for Recommendation Session-based Recommendations with Recurrent Neural Networks

Reference 5

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Observation 3af9676d-3eef-4c64-8b8f-7c6bc00a0fe6 · outbound

This paper cites Self-attentive sequential recommenda- tion,.

Effectiveness of LLMs in Temporal User Profiling for Recommendation Self-attentive sequential recommenda- tion,

Reference 6

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Observation 21d4fbf7-1032-4ea3-860a-779557e5d3c0 · outbound

This paper cites Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation.

Effectiveness of LLMs in Temporal User Profiling for Recommendation Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation

Reference 7

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Observation c1482c85-3b3b-4858-b705-0d7c47157e99 · outbound

This paper cites Explainable recommendation: A survey and new perspectives,.

Effectiveness of LLMs in Temporal User Profiling for Recommendation Explainable recommendation: A survey and new perspectives,

Reference 8

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Observation 7acdcd50-213b-488a-9d1b-f2422570b18f · outbound

This paper cites A Survey of Large Language Models.

Effectiveness of LLMs in Temporal User Profiling for Recommendation A Survey of Large Language Models

Reference 9

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Observation c67d76ae-3643-49a7-9b9b-e6d843362f50 · outbound

This paper cites A survey on evaluation of large language models,.

Effectiveness of LLMs in Temporal User Profiling for Recommendation A survey on evaluation of large language models,

Reference 10

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Observation 29ea5042-ee78-4b45-8f1f-3f583ed927ae · outbound

This paper cites Recommender systems in the era of large language models (llms),.

Effectiveness of LLMs in Temporal User Profiling for Recommendation Recommender systems in the era of large language models (llms),

Reference 11

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Observation 21102e6d-1715-4e70-9b6d-34c6f490d65a · outbound

This paper cites A survey on large language models for recommendation,.

Effectiveness of LLMs in Temporal User Profiling for Recommendation A survey on large language models for recommendation,

Reference 12

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Observation 60cd1a4f-8890-46fc-ad34-7f772b791c12 · outbound

This paper cites Llm-generated explanations for recommender systems,.

Effectiveness of LLMs in Temporal User Profiling for Recommendation Llm-generated explanations for recommender systems,

Reference 13

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Observation e576f105-568b-4db5-b062-48f0fc9e2d7c · outbound

This paper cites XRec: Large Language Models for Explainable Recommendation.

Effectiveness of LLMs in Temporal User Profiling for Recommendation XRec: Large Language Models for Explainable Recommendation

Reference 14

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Observation 23a53ab0-79ac-4a93-b03b-1d75fca32510 · outbound

This paper cites A survey on knowledge graph-based recommender systems,.

Effectiveness of LLMs in Temporal User Profiling for Recommendation A survey on knowledge graph-based recommender systems,

Reference 15

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Observation 35b21dd9-d452-4a0c-bab9-1567eab7ea2b · outbound

This paper cites Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation.

Effectiveness of LLMs in Temporal User Profiling for Recommendation Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation

Reference 16

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Observation 2fa93c67-fe8f-4c73-aaef-fe4c5ef794c2 · outbound

This paper cites An explainable recommen- dation framework based on an improved knowledge graph attention network with massive volumes of side information,.

Effectiveness of LLMs in Temporal User Profiling for Recommendation An explainable recommen- dation framework based on an improved knowledge graph attention network with massive volumes of side information,

Reference 17

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Observation d65e8353-4d8d-4843-9730-1966dafb8fa4 · outbound

This paper cites LLM-Powered Explanations: Unraveling Recommendations Through Subgraph Reasoning.

Effectiveness of LLMs in Temporal User Profiling for Recommendation LLM-Powered Explanations: Unraveling Recommendations Through Subgraph Reasoning

Reference 18

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Observation ac7191bc-a731-40a5-864b-8e09fde03701 · outbound

This paper cites Improved recurrent neural networks for session-based recommendations,.

Effectiveness of LLMs in Temporal User Profiling for Recommendation Improved recurrent neural networks for session-based recommendations,

Reference 19

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Observation ec0e25cf-cc61-49a4-85c9-1e40b2c95b66 · outbound

This paper cites What to do next: Modeling user behaviors by time-lstm.

Effectiveness of LLMs in Temporal User Profiling for Recommendation What to do next: Modeling user behaviors by time-lstm

Reference 20

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Observation e2bcd130-6633-4423-bbfb-cccb08b8243a · outbound

This paper cites Multilayer perceptron and neural networks,.

Effectiveness of LLMs in Temporal User Profiling for Recommendation Multilayer perceptron and neural networks,

Reference 21

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Observation e32559db-b9d3-4422-9b09-d37b2ee079fe · outbound

This paper cites Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders.

Effectiveness of LLMs in Temporal User Profiling for Recommendation Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Reference 22

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Observation 6eb1d3cb-d4c5-438a-ab28-7436759d30e8 · outbound

This paper cites Introduction to recommender systems handbook,.

Effectiveness of LLMs in Temporal User Profiling for Recommendation Introduction to recommender systems handbook,

Reference 23

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Observation 8fc38e2b-e694-4e6e-a467-0f9d4179861d · outbound

This paper cites Matrix factorization techniques for recommender systems,.

Effectiveness of LLMs in Temporal User Profiling for Recommendation Matrix factorization techniques for recommender systems,

Reference 24

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Observation 266c0a97-13ce-45ca-bcab-70ee760ff4e3 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Effectiveness of LLMs in Temporal User Profiling for Recommendation Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 25

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Observation e990b8ad-c071-4c49-924a-296601842920 · outbound

This paper cites GPT-4 Technical Report.

Effectiveness of LLMs in Temporal User Profiling for Recommendation GPT-4 Technical Report

Reference 26

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Pith citing papers

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