Paper Citation Record · LEDGER

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation

As of 14 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 3 inbound Pith citation observations for arXiv:2502.02854.

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

pith.paper-citation-record.v1
2502.02854 v2

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

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measured 85 of 85 standing notices

One-hop event checks from named stored sources.

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measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:22:59.322062Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T20:25:12.254487Z

Reference resolution

82 of 82 outbound references displayed

verified exact3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f294eab1-8c63-45b1-b593-0716fabfaa29 · outbound

This paper cites Dataset distillation by matching training trajectories.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Dataset distillation by matching training trajectories

Reference 1

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Observation 449fa86e-ef96-4aef-8d24-0bed59297990 · outbound

This paper cites Bilevel optimization: theory, algorithms, applications and a bibliography.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Bilevel optimization: theory, algorithms, applications and a bibliography

Reference 2

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Observation 8990f095-e18e-4c0f-8ab6-3e12d1f1863e · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 3

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Observation 0eddbefb-257b-410e-b8a8-411b9c58f92b · outbound

This paper cites Adam: A method for stochastic optimization.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Adam: A method for stochastic optimization

Reference 4

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Observation b56d2c58-f24f-4d81-b26a-3860af4f1d14 · outbound

This paper cites Fair graph distillation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Fair graph distillation

Reference 5

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Observation 88fad5fe-f7db-4e96-a78c-58f27dcdb265 · outbound

This paper cites Embar- rassingly simple dataset distillation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Embar- rassingly simple dataset distillation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.824026Z

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Observation d87290e8-9c34-4efb-8593-2b1da5a18991 · outbound

This paper cites Generalized Inner Loop Meta-Learning.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Generalized Inner Loop Meta-Learning

Reference 7

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Observation ec069b72-8e75-4f14-bfcf-3f6ea08db5b8 · outbound

This paper cites Efficient dataset distillation via minimax diffusion.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Efficient dataset distillation via minimax diffusion

Reference 8

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Observation e1454701-0a81-4796-a3aa-9cf141a2abdd · outbound

This paper cites Summarizing Stream Data for Memory-Constrained Online Continual Learning.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Summarizing Stream Data for Memory-Constrained Online Continual Learning

Reference 9

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Observation 1161de12-98cc-4a67-b7c2-e817332045a5 · outbound

This paper cites Scaling New Frontiers: Insights into Large Recommendation Models.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Scaling New Frontiers: Insights into Large Recommendation Models

Reference 10

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Observation d57772d4-84dd-4203-bf8c-5ec10d9b386c · outbound

This paper cites Mirage: Model-Agnostic Graph Distillation for Graph Classification.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Mirage: Model-Agnostic Graph Distillation for Graph Classification

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-09T10:55:55.358602Z

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Observation 3f8fdb10-9a14-4c2e-8459-e9529e2eb49f · outbound

This paper cites END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation

Reference 12

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Observation e7f8a852-6120-4f58-bdf9-c9f12e049359 · outbound

This paper cites Guesr: A global unsupervised data-enhancement with bucket-cluster sampling for sequential recommendation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Guesr: A global unsupervised data-enhancement with bucket-cluster sampling for sequential recommendation

Reference 13

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Observation fe9da8a4-bc71-4e3e-9fde-eb71ee666d8e · outbound

This paper cites Leveraging large language models for sequential recommendation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Leveraging large language models for sequential recommendation

Reference 14

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Observation f71a60fd-c1d3-44a2-a149-257ba008f435 · outbound

This paper cites Fusing similarity models with markov chains for sparse sequential recommendation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Fusing similarity models with markov chains for sparse sequential recommendation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.789233Z

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Observation a803362d-b74a-4d32-ad38-d304ea042d02 · outbound

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

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Session-based Recommendations with Recurrent Neural Networks

Reference 16

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Observation b91ecc8e-b2c4-476e-9e48-dbf847d9d103 · outbound

This paper cites Enhancing sequential recommendation via llm-based semantic embedding learning.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Enhancing sequential recommendation via llm-based semantic embedding learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.781104Z

Source-reported events for the cited work

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Observation d65cf8cd-6032-4d15-8c79-03c5d4fe9fbd · outbound

This paper cites Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors

Reference 18

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Source-reported events for the cited work

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Observation a01882ab-5b84-49b9-a50e-88f3acac6264 · outbound

This paper cites Self-attentive sequential recommenda- tion.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Self-attentive sequential recommenda- tion

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.772787Z

Source-reported events for the cited work

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Observation 4f1b0ff0-f8af-4a48-b329-2edc87023811 · outbound

This paper cites A Survey on Data-Centric Recommender Systems.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation A Survey on Data-Centric Recommender Systems

Reference 20

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Observation 1d221d70-9e19-4236-9484-0fcb2b2fa62c · outbound

This paper cites A comprehensive survey of dataset distillation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation A comprehensive survey of dataset distillation

Reference 21

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Observation 033cb1e2-2b80-4780-929e-3868a82c9217 · outbound

This paper cites Visualiz- ing the loss landscape of neural nets.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Visualiz- ing the loss landscape of neural nets

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.755584Z

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Observation 69518f07-f4f4-4f5f-9d8e-9ec162b83bd3 · outbound

This paper cites Text is all you need: Learning language representations for sequen- tial recommendation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Text is all you need: Learning language representations for sequen- tial recommendation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.746925Z

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Observation ab79a628-8244-4402-b0b9-4ffe337038de · outbound

This paper cites Neural attentive session-based recommendation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Neural attentive session-based recommendation

Reference 25

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Observation 888e5d80-301b-48e7-9d96-35e83dbe6832 · outbound

This paper cites How to configure good in-context sequence for visual question answering.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation How to configure good in-context sequence for visual question answering

Reference 26

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Observation 24ec8b36-9dbd-4c27-b9fe-d14ae74f96b2 · outbound

This paper cites Data Distillation for Text Classification.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Data Distillation for Text Classification

Reference 27

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Observation 2a56e237-0b9e-458d-8d96-e5c655b5c937 · outbound

This paper cites Meta Knowledge Condensation for Federated Learning.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Meta Knowledge Condensation for Federated Learning

Reference 28

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Observation 845c9a3c-db54-401b-a887-9e5d993d8dd7 · outbound

This paper cites Diffusion augmentation for sequential recommendation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Diffusion augmentation for sequential recommendation

Reference 29

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Observation ac74b06a-88fb-4167-b104-e2d4f6718fc5 · outbound

This paper cites Augmenting sequential rec- ommendation with pseudo-prior items via reversely pre-training transformer.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Augmenting sequential rec- ommendation with pseudo-prior items via reversely pre-training transformer

Reference 30

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Observation d5e27935-3f95-4d8b-a906-0adb5899422c · outbound

This paper cites Can pre-trained models assist in dataset distillation?.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Can pre-trained models assist in dataset distillation?

Reference 31

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Observation 1cb811e2-9280-46ef-9501-314fe16b9c48 · outbound

This paper cites Dataset distillation with attention labels for fine-tuning bert.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Dataset distillation with attention labels for fine-tuning bert

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.706300Z

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Observation e5981db4-dd08-418e-9334-bdde9d304199 · outbound

This paper cites DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation

Reference 33

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Observation 8b7130f5-073f-4355-b780-a1a01a8b9b3a · outbound

This paper cites Reducing catastrophic forgetting with learning on synthetic data.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Reducing catastrophic forgetting with learning on synthetic data

Reference 34

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Observation 3c8cb8d6-ad85-4928-9c3f-6df06e17b0c2 · outbound

This paper cites Understanding and correcting pathologies in the training of learned optimizers.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Understanding and correcting pathologies in the training of learned optimizers

Reference 35

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Observation 78b39acb-e941-46bc-a434-40fa265cd5bc · outbound

This paper cites Landing ai.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Landing ai

Reference 36

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Observation 285c28e5-7878-47fc-ade6-ff569db4ac4e · outbound

This paper cites Truncated backpropagation through time and kalman filter training for neurocontrol.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Truncated backpropagation through time and kalman filter training for neurocontrol

Reference 37

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Observation d843f2bb-8919-4a6d-a5b2-882e0fc2733d · outbound

This paper cites Sequence-aware recommender systems.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Sequence-aware recommender systems

Reference 38

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Observation c18d907b-9d6a-44cf-8936-f36f95e8a6d9 · outbound

This paper cites Scale ai.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Scale ai

Reference 39

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Observation 20235c44-57dc-4b46-923d-28b9b6fd5a04 · outbound

This paper cites Factorizing personalized markov chains for next-basket recommendation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Factorizing personalized markov chains for next-basket recommendation

Reference 40

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Observation 219cbe39-fd4b-441f-89a7-ecf472f5645e · outbound

This paper cites Infi- nite recommendation networks: A data-centric approach.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Infi- nite recommendation networks: A data-centric approach

Reference 41

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Observation 96bed8d5-bdaa-4055-88ac-dee267ae8688 · outbound

This paper cites Farzi Data: Autoregressive Data Distillation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Farzi Data: Autoregressive Data Distillation

Reference 42

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Observation 43d3bba5-0ff8-4177-a486-cf9a5ab406b3 · outbound

This paper cites Data Distillation: A Survey.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Data Distillation: A Survey

Reference 43

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Observation c2a1f7cc-3f82-481e-a66a-c625f28a61d1 · outbound

This paper cites Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy

Reference 44

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This paper cites Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.633089Z

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Observation af80d3eb-c64a-4089-ad83-2e69ca819db1 · outbound

This paper cites Personalized top-n sequential recommendation via con- volutional sequence embedding.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Personalized top-n sequential recommendation via con- volutional sequence embedding

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.624943Z

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Observation 1828dbd7-cc09-44a9-b0ad-041c542c012c · outbound

This paper cites The extension of factor analysis to three-dimensional matrices.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation The extension of factor analysis to three-dimensional matrices

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.616808Z

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Observation c067c656-1efe-4c9b-95ec-cda64a7f9da3 · outbound

This paper cites Unbiased gradient estimation in unrolled computation graphs with persistent evolution strategies.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Unbiased gradient estimation in unrolled computation graphs with persistent evolution strategies

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.608598Z

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Observation bc351065-cf11-464b-9003-588bbe2d9847 · outbound

This paper cites Scale ai.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Scale ai

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.600377Z

Source-reported events for the cited work

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Observation 409dc853-5da6-4909-81e1-0aa1b149abbe · outbound

This paper cites Gradient matching for categorical data distillation in ctr prediction.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Gradient matching for categorical data distillation in ctr prediction

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.592472Z

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Observation 9ee891a8-fcfa-4cbe-a383-3c27f60a3828 · outbound

This paper cites Hypersorec: Exploiting hyperbolic user and item representations with multiple aspects for social-aware recommendation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Hypersorec: Exploiting hyperbolic user and item representations with multiple aspects for social-aware recommendation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.584193Z

Source-reported events for the cited work

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Observation 8ebdbcf0-d8a5-4b1e-8987-69c3fe3ba823 · outbound

This paper cites Sequential/session-based recommendations: Challenges, approaches, applications and opportunities.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Sequential/session-based recommendations: Challenges, approaches, applications and opportunities

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.576023Z

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Observation cb4e7f97-6774-40d8-b7de-bdc4f6a1588b · outbound

This paper cites Dataset Distillation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Dataset Distillation

Reference 53

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Source-reported events for the cited work

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Observation 4b1c9cb9-502c-4765-8129-b70c6a23abe9 · outbound

This paper cites An aggregation-free federated learning for tackling data heterogeneity.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation An aggregation-free federated learning for tackling data heterogeneity

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.567713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 158df979-2e5c-4b8b-999f-f0269151f269 · outbound

This paper cites Global context enhanced graph neural networks for session-based recommenda- tion.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Global context enhanced graph neural networks for session-based recommenda- tion

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.558925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 94e98ccf-9d53-4fae-af74-a70e49259733 · outbound

This paper cites An efficient gradient-based algorithm for on- line training of recurrent network trajectories.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation An efficient gradient-based algorithm for on- line training of recurrent network trajectories

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.550196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e5fa5680-f3e9-4ede-8ed9-cd02aa9d4a67 · outbound

This paper cites Dataset Condensation for Recommendation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Dataset Condensation for Recommendation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-09T10:55:55.093741Z

Source-reported events for the cited work

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Observation 4d7da47c-3930-484b-8fca-503e52e5c442 · outbound

This paper cites TF-DCon: Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation TF-DCon: Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-09T10:55:55.096575Z

Source-reported events for the cited work

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Observation 8a14d7e5-d2c2-4b6c-96b9-dc9d3240198a · outbound

This paper cites A Survey on Large Language Models for Recommendation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation A Survey on Large Language Models for Recommendation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-09T10:55:55.099680Z

Source-reported events for the cited work

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Observation a8c04605-d5a0-4ee5-b611-03a82a406c28 · outbound

This paper cites Session-based recommendation with graph neural networks.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Session-based recommendation with graph neural networks

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.541948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0da48355-ecde-4527-b0fb-7d703f12d67f · outbound

This paper cites Understanding Short-Horizon Bias in Stochastic Meta-Optimization.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Understanding Short-Horizon Bias in Stochastic Meta-Optimization

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-09T10:55:55.105151Z

Source-reported events for the cited work

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Observation 8b8bc6cd-260e-4c8e-a3c5-2845cfda2299 · outbound

This paper cites Tucker decomposition with frequency attention for temporal knowledge graph completion.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Tucker decomposition with frequency attention for temporal knowledge graph completion

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.533743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3884ce0b-dbd8-442a-8a3d-05f531386e98 · outbound

This paper cites Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-09T10:55:55.111484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 179189ee-1475-40b2-a1aa-ac23dcde6c6b · outbound

This paper cites Feddm: Iterative distribution matching for communication-efficient federated learning.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Feddm: Iterative distribution matching for communication-efficient federated learning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.525778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2d564e01-5c89-468b-86c1-941c7cda0c02 · outbound

This paper cites Graph contextualized self-attention network for session-based recommendation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Graph contextualized self-attention network for session-based recommendation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.517903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4c6db4fc-ad19-4234-889c-94ba3b043dc5 · outbound

This paper cites Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-09T10:55:55.119550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74020b91-6a6d-42e7-950f-5aef07b83e0c · outbound

This paper cites Cosrec: 2d convolutional neural networks for sequential recommendation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Cosrec: 2d convolutional neural networks for sequential recommendation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.509750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a18a7dfa-b775-4cdf-8034-56f18d24b4ce · outbound

This paper cites Does graph distillation see like vision dataset counterpart? Advances in Neural Information Processing Systems , 36, 2024.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Does graph distillation see like vision dataset counterpart? Advances in Neural Information Processing Systems , 36, 2024

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.501646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4016d2a4-5767-4d4c-b698-405687c17fb7 · outbound

This paper cites An efficient dataset condensation plugin and its application to continual learning.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation An efficient dataset condensation plugin and its application to continual learning

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.493553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 10390aa9-0ed1-4067-b7f0-804c8c17701c · outbound

This paper cites Sequential recommendation with latent relations based on large language model.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Sequential recommendation with latent relations based on large language model

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.485481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 357b8cd7-826a-4060-b746-7cc41e578274 · outbound

This paper cites Dataset regeneration for sequential recommendation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Dataset regeneration for sequential recommendation

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.476995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cc738dfa-cdb5-4362-a889-38db89090e51 · outbound

This paper cites Apgl4sr: A generic framework with adaptive and personalized global collaborative information in sequential recommendation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Apgl4sr: A generic framework with adaptive and personalized global collaborative information in sequential recommendation

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.468484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 38ba4c5f-3279-4e72-8064-575ae896bfa0 · outbound

This paper cites Dataset distillation: A compre- hensive review.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Dataset distillation: A compre- hensive review

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.460010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c8892c7b-75b6-4fc2-a362-abaaef0208c6 · outbound

This paper cites Hierar- chical item inconsistency signal learning for sequence denoising in sequential recommendation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Hierar- chical item inconsistency signal learning for sequence denoising in sequential recommendation

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.451789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2e43b583-6c48-4164-84c2-d83b73ecebf0 · outbound

This paper cites A unified framework for adaptive representation enhancement and inversed learning in cross-domain recommen- dation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation A unified framework for adaptive representation enhancement and inversed learning in cross-domain recommen- dation

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.443091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation abf8a100-612d-49bd-9753-28e8fa97cf1c · outbound

This paper cites Learning System Dynamics without Forgetting.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Learning System Dynamics without Forgetting

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-09T10:55:55.146441Z

Source-reported events for the cited work

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Observation e07311b5-6ceb-4fa9-8dc1-cd8d3da298aa · outbound

This paper cites Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-09T10:55:55.149282Z

Source-reported events for the cited work

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Observation fcde4605-af16-46e5-b2f5-da654158aa7a · outbound

This paper cites Dataset condensation with distribution matching.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Dataset condensation with distribution matching

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.433109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0154e6fb-98f0-42bc-82f1-f416c3675fdb · outbound

This paper cites Dataset Condensation with Gradient Matching.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Dataset Condensation with Gradient Matching

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-09T10:55:55.155034Z

Source-reported events for the cited work

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Observation 0251a2c7-c225-4157-b771-dd63e5a2c7f3 · outbound

This paper cites Leveraging social connections to improve personalized ranking for collaborative filtering.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Leveraging social connections to improve personalized ranking for collaborative filtering

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.424036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0803227e-f5cd-4fad-b480-08d9f03b8009 · outbound

This paper cites Recbole 2.0: Towards a more up-to-date recommendation library.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Recbole 2.0: Towards a more up-to-date recommendation library

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.414816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 215b79d1-92fe-4752-bd2c-38ca694c2705 · outbound

This paper cites Enhanced self-attention mechanism for long and short term sequential recommendation models.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Enhanced self-attention mechanism for long and short term sequential recommendation models

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.405903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0f86cc0c-f09c-4961-be7b-2559cc4cc56e · outbound

This paper cites Filter-enhanced mlp is all you need for sequential recommendation.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Filter-enhanced mlp is all you need for sequential recommendation

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:55:55.396365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 37950631-965b-4016-81e7-40f2fcfbfac6 · inbound

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction cites this paper.

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:59.322062Z

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Observation 1497dd63-5270-4fb2-84b0-fdc2eeb2e388 · inbound

Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent cites this paper.

Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:06.737554Z

Source-reported events for the cited work

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Observation f33b1f75-3665-4812-945b-0a4b5ceced0f · inbound

FuXi-\beta: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model cites this paper.

FuXi-\beta: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:25:12.261417Z

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