Paper Citation Record · LEDGER

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models

As of 16 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 2 inbound Pith citation observations for arXiv:2412.04107.

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

pith.paper-citation-record.v1
2412.04107 v2

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:49:26.770684Z

measured 83 of 83 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:27:16.835702Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T13:11:49.229674Z

Reference resolution

81 of 81 outbound references displayed

verified exact1
verified fuzzy2
unresolved78
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

Reference 1

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Observation 779850de-bb37-4e0c-a8c2-94416504d7e9 · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 2

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

Reference 3

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models The Llama 3 Herd of Models

Reference 9

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Long-Sequence Recommendation Models Need Decoupled Embeddings

Reference 10

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Unresolved cited work

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models CTRL: Connect Collaborative and Language Model for CTR Prediction

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models LLaRA: Large Language-Recommendation Assistant

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models AlignRec: Aligning and Training in Multimodal Recommendations

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou

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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Rethinking Large Language Model Architectures for Sequential Recommendations

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Large Language Model Enhanced Recommender Systems: A Survey Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models

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Reference 120

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