SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation | Paper Citation Record

Observation 52c41f62-5afd-4372-aacc-1cfacd4e50fc · outbound

This paper cites Attention is all you need,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Attention is all you need,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:19.960405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91f9edbc-29b6-4796-8f2e-e500dfad1679 · outbound

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

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:19.963790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 384cd131-0909-400a-8ad5-b9cb6fd9f62c · outbound

This paper cites Language mod- els are few-shot learners,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Language mod- els are few-shot learners,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:19.966382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ce6bcf7-c016-42d1-ab67-3ca3047d2713 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:19.969134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8eab13c-3c24-4c58-a377-814070a4b550 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:19.971982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c2d7e0e-81e6-4a0e-a6bb-8cac7bb86199 · outbound

This paper cites Onetrans: Unified feature interaction and sequence modeling with one transformer in industrial recommender,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Onetrans: Unified feature interaction and sequence modeling with one transformer in industrial recommender,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:19.974519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bbc5731-5b2c-41cd-9c9d-f662d4c0a876 · outbound

This paper cites Final: Factorized interaction layer for ctr prediction,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Final: Factorized interaction layer for ctr prediction,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:19.977241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e953d0fd-1f69-483a-93c9-bfd4ff8be727 · outbound

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

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:19.979553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a18bfaa1-0571-40bb-b75a-154c9b86acb2 · outbound

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

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Self-attentive sequential recommenda- tion,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:19.981858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d514556-5654-4900-bcf9-8463741a11a0 · outbound

This paper cites Autoint: Automatic feature interaction learning via self-attentive neural networks,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Autoint: Automatic feature interaction learning via self-attentive neural networks,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:19.984153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d97a5720-a68d-4612-be71-28f533e621bf · outbound

This paper cites Rankmixer: Scaling up ranking models in industrial recommenders,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Rankmixer: Scaling up ranking models in industrial recommenders,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:19.986716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abe69cc7-9f9a-4e37-9307-cd421d9735aa · outbound

This paper cites Qwen3 Technical Report.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Qwen3 Technical Report

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:19.988997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a47b7bd-b8ea-42bc-8f53-f55cdbcfe8ff · outbound

This paper cites How do recommendation models amplify popularity bias? an analysis from the spectral perspective,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation How do recommendation models amplify popularity bias? an analysis from the spectral perspective,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:19.991523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92c97666-b6ef-44cb-9686-f635ce9e7d61 · outbound

This paper cites On the Embedding Collapse when Scaling up Recommendation Models.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation On the Embedding Collapse when Scaling up Recommendation Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:19.993952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 181fa77c-ed5c-44a0-8a3f-c13ba2ba369f · outbound

This paper cites RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:19.996551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1bdb5d4-2ab3-4e36-a8fc-17c26ddd9485 · outbound

This paper cites From Scaling to Structured Expressivity: Rethinking Transformers for CTR Prediction.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation From Scaling to Structured Expressivity: Rethinking Transformers for CTR Prediction

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:19.999061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f33a9bb1-3150-4441-8928-7d3ace94b19d · outbound

This paper cites Are id embeddings nec- essary? whitening pre-trained text embeddings for effective sequential recommendation,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Are id embeddings nec- essary? whitening pre-trained text embeddings for effective sequential recommendation,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.001615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b91b1fb0-0e57-4c2b-b514-2abe31619e3e · outbound

This paper cites FEDIN: Frequency-Enhanced Deep Interest Network for Click-Through Rate Prediction.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation FEDIN: Frequency-Enhanced Deep Interest Network for Click-Through Rate Prediction

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.003934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3564dc0b-73df-459d-a076-aaaf78e81d79 · outbound

This paper cites A convolutional click prediction model,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation A convolutional click prediction model,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.006723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05fa382f-a435-452d-a4aa-5efd6854225e · outbound

This paper cites Fibinet: combining feature impor- tance and bilinear feature interaction for click-through rate prediction,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Fibinet: combining feature impor- tance and bilinear feature interaction for click-through rate prediction,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.009070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 561a33df-e673-4491-a9bc-39b57ed471d2 · outbound

This paper cites Field-weighted factorization machines for click-through rate prediction in display advertising,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Field-weighted factorization machines for click-through rate prediction in display advertising,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.011439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 185d5887-22ba-4ab3-a1f0-75a6eeb50660 · outbound

This paper cites Fm2: Field-matrixed factor- ization machines for recommender systems,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Fm2: Field-matrixed factor- ization machines for recommender systems,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.014068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 016fcee9-a7fb-46d8-bf86-39e88c92c481 · outbound

This paper cites DeepFM: A Factorization-Machine based Neural Network for CTR Prediction.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.016540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f749684-312e-4c61-b8bd-30672b6c6df2 · outbound

This paper cites Fibinet++: Reducing model size by low rank feature interaction layer for ctr prediction,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Fibinet++: Reducing model size by low rank feature interaction layer for ctr prediction,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.019143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 260a4727-6feb-4845-a7f0-857380a5a8cd · outbound

This paper cites Factorization machines,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Factorization machines,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.021422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b38a2f74-7bbd-46da-abc2-30a9ccabe70c · outbound

This paper cites Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.023774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 143abf4d-4933-4a35-bc17-f7adf55cfc02 · outbound

This paper cites Wide & deep learning for recommender systems,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Wide & deep learning for recommender systems,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.026323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac60bb36-fc01-44a4-ba1e-b3a171e124fa · outbound

This paper cites Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.028664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 759ffbee-6216-445e-8f63-bbfd49cd90f1 · outbound

This paper cites Layer Normalization.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Layer Normalization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.031196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a73648fd-1cfb-4f57-866f-118272bc662d · outbound

This paper cites Svd approach to data unfolding,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Svd approach to data unfolding,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.033736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39ddc59a-647b-4aa5-8734-293e0dd21733 · outbound

This paper cites Towards mitigat- ing dimensional collapse of representations in collaborative filtering,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Towards mitigat- ing dimensional collapse of representations in collaborative filtering,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.036063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e995d6b-6e38-48e3-9e3b-f5fd0cc7df36 · outbound

This paper cites SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.038398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49f6ff1a-5eb1-4690-82ea-4c89752b79c0 · outbound

This paper cites The effective rank: A measure of effective dimensionality,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation The effective rank: A measure of effective dimensionality,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.040853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56517dd1-8613-4009-9d39-9282bc6c0bb5 · outbound

This paper cites A mathematical theory of communication,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation A mathematical theory of communication,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.043106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7d60c81-f44d-42a9-a40f-5ba4953ffb15 · outbound

This paper cites Signal propagation in transformers: Theoretical perspectives and the role of rank collapse,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Signal propagation in transformers: Theoretical perspectives and the role of rank collapse,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.045555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64b498cf-548b-4a2b-b254-4c79dfb899c8 · outbound

This paper cites Diff-erank: A novel rank- based metric for evaluating large language models,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Diff-erank: A novel rank- based metric for evaluating large language models,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.047931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7accd237-d786-457e-a665-412bed5a7a71 · outbound

This paper cites Dcn v2: Improved deep & cross network and practical lessons for web- scale learning to rank systems,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Dcn v2: Improved deep & cross network and practical lessons for web- scale learning to rank systems,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.050183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fbdc09e-88bd-4432-8af7-cf4905b25626 · outbound

This paper cites Attention is not all you need: Pure attention loses rank doubly exponentially with depth,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Attention is not all you need: Pure attention loses rank doubly exponentially with depth,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.052525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6330d395-4451-4d42-9695-266afb97123c · outbound

This paper cites On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.054877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 955f5317-bd76-468d-9548-63aafb2763fe · outbound

This paper cites MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.057452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 781c8584-75f2-4c02-9ef7-2db3852518e5 · outbound

This paper cites Towards deeper, lighter and interpretable cross network for ctr prediction,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Towards deeper, lighter and interpretable cross network for ctr prediction,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.059892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e915f7e-a94e-4b12-97d3-24294b331b76 · outbound

This paper cites Deep interest network for click-through rate prediction,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Deep interest network for click-through rate prediction,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.062160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 480b09c5-130d-4699-9376-8a13588b37ad · outbound

This paper cites Adaptive subgradient methods for online learning and stochastic optimization.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Adaptive subgradient methods for online learning and stochastic optimization

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.064577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae74afbf-ec8b-426d-b515-9ab197fc63cd · outbound

This paper cites A generic learning framework for sequential recommendation with distribution shifts,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation A generic learning framework for sequential recommendation with distribution shifts,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.066855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80bbae74-82dc-4ca7-8541-d8e99f52701b · outbound

This paper cites Search-based user interest modeling with lifelong sequential behavior data for click-through rate prediction,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Search-based user interest modeling with lifelong sequential behavior data for click-through rate prediction,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.069168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28157985-1608-458b-b396-8633d633f2db · outbound

This paper cites Tallrec: An effective and efficient tuning framework to align large language model with recommendation,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Tallrec: An effective and efficient tuning framework to align large language model with recommendation,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.071461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3314d9f-8a23-47b4-a4d6-d66d9aa987f9 · outbound

This paper cites HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.073864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e5e6948-3a76-48f0-a3d5-eeff0890bd34 · outbound

This paper cites Rella: Retrieval-enhanced large language models for lifelong sequential behavior comprehension in recommendation,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Rella: Retrieval-enhanced large language models for lifelong sequential behavior comprehension in recommendation,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.076422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49ca7f9a-aa19-4113-b840-df9b8b1abf71 · outbound

This paper cites Breaking the length barrier: Llm-enhanced ctr prediction in long textual user behaviors,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Breaking the length barrier: Llm-enhanced ctr prediction in long textual user behaviors,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.078804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d162885-8bd2-4fef-a7f0-1b1efa28c76b · outbound

This paper cites Ctrl: Connect collaborative and language model for ctr prediction,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Ctrl: Connect collaborative and language model for ctr prediction,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.081076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d547ed6-fba1-46ec-9f93-f11fa5efaaa1 · outbound

This paper cites Towards open-world recommendation with knowledge augmentation from large language models,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Towards open-world recommendation with knowledge augmentation from large language models,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.083485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dea0b752-4bf9-4b3e-8622-a0b9a9789ade · outbound

This paper cites Large language models enhanced collaborative filtering,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Large language models enhanced collaborative filtering,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.085807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4566b20-1fde-4292-a03e-b9ad89e66865 · outbound

This paper cites Field matters: A lightweight llm-enhanced method for ctr prediction,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Field matters: A lightweight llm-enhanced method for ctr prediction,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.088087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85186d44-c892-490e-b2da-4ea130d879d7 · outbound

This paper cites Representation Degeneration Problem in Training Natural Language Generation Models.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Representation Degeneration Problem in Training Natural Language Generation Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.090483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 464d843e-6527-472c-b714-98f1cf04fc90 · outbound

This paper cites Understanding Dimensional Collapse in Contrastive Self-supervised Learning.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Understanding Dimensional Collapse in Contrastive Self-supervised Learning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.093063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13fce91e-549f-4611-8dc1-dae510479f10 · outbound

This paper cites On feature decorrelation in self-supervised learning,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation On feature decorrelation in self-supervised learning,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.095616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18193bd7-b05b-41f4-be8e-31a7ce04bc03 · outbound

This paper cites Alphafuse: Learn id embeddings for sequential recommendation in null space of language embeddings,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Alphafuse: Learn id embeddings for sequential recommendation in null space of language embeddings,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.098088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d7d4436-565a-4a14-8330-6401f786bbef · outbound

This paper cites Low-rank bottleneck in multi-head attention models,.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Low-rank bottleneck in multi-head attention models,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.100422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers