Paper Citation Record · LEDGER

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models

As of 14 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 1 inbound Pith citation observation for arXiv:2411.16122.

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

pith.paper-citation-record.v1
2411.16122 v2

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:37:15.759870Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:30.228094Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:44:36.177519Z

Reference resolution

68 of 68 outbound references displayed

verified exact3
verified fuzzy52
unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6048175f-40e0-4852-9eec-9f880606494f · outbound

This paper cites Bars: Towards open benchmarking for recommender systems,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Bars: Towards open benchmarking for recommender systems,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.887959Z

Source-reported events for the cited work

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Observation aff87c09-c94c-4f48-8d3b-89d684886d7f · outbound

This paper cites Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-through Rate Prediction,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-through Rate Prediction,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.874674Z

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Observation f71bd3cf-26df-4746-a5d6-8142d6733175 · outbound

This paper cites En- hanced Multi-task Learning and Knowledge Graph-based Recommender System,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models En- hanced Multi-task Learning and Knowledge Graph-based Recommender System,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.860795Z

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Observation 3177bacd-7a68-4fae-a798-32ac9367490e · outbound

This paper cites AIM: Automatic Interaction Machine for Click-Through Rate Prediction,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models AIM: Automatic Interaction Machine for Click-Through Rate Prediction,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.846605Z

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Observation 5ea0b645-501a-452d-83d5-87c6e1ddc512 · outbound

This paper cites ENCODE: Breaking the Trade-Off Between Performance and Efficiency in Long-Term User Behavior Modeling,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models ENCODE: Breaking the Trade-Off Between Performance and Efficiency in Long-Term User Behavior Modeling,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.833820Z

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 d9c912c2-5b5e-4e3a-9ab4-d47523d04352 · outbound

This paper cites Open Benchmarking for Click-through Rate Prediction,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Open Benchmarking for Click-through Rate Prediction,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.820569Z

Source-reported events for the cited work

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Observation 630ad6bf-ec2c-4f3d-b85f-7cbe0c03bbc6 · outbound

This paper cites FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.807660Z

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 63c8b695-3a0b-41e3-b312-940d4e1cfd89 · outbound

This paper cites DCNv2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models DCNv2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.795047Z

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 905eaffb-c41c-40ec-87d6-b11e8b8fcb03 · outbound

This paper cites Model Ensemble for Click Prediction in Bing Search Ads,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Model Ensemble for Click Prediction in Bing Search Ads,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.780674Z

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 92c2781e-be95-4487-a576-8f581037ac95 · outbound

This paper cites Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.767531Z

Source-reported events for the cited work

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Observation 3754b844-8df5-4183-ace4-fb35db0fb533 · outbound

This paper cites EulerNet: Adaptive Feature Interaction Learning via Euler’s Formula for CTR Prediction,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models EulerNet: Adaptive Feature Interaction Learning via Euler’s Formula for CTR Prediction,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.754940Z

Source-reported events for the cited work

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Observation 576f6f0f-29ef-4ab0-9ae0-428091159b4f · outbound

This paper cites Wukong: Towards a Scaling Law for Large-scale Recommendation,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Wukong: Towards a Scaling Law for Large-scale Recommendation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.743184Z

Source-reported events for the cited work

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Observation 851199f2-4b52-4486-b36e-d161614794bd · outbound

This paper cites xDeepFM: Combining explicit and implicit feature interactions for recommender systems,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models xDeepFM: Combining explicit and implicit feature interactions for recommender systems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.731020Z

Source-reported events for the cited work

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Observation 4d64ab7f-7789-42c4-91bc-adfdd6e401b7 · outbound

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

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models AutoInt: Automatic feature interaction learning via self-attentive neural networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.718299Z

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 de7c474b-a92a-4e98-aea5-d9d32a404d45 · outbound

This paper cites Ensemble learning,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Ensemble learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.705619Z

Source-reported events for the cited work

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Observation 2ad72edf-dc36-41e5-b909-dad2f177483c · outbound

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

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models DeepFM: A Factorization- Machine Based Neural Network for CTR Prediction,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.692526Z

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 6dd26dd7-30cd-4785-b948-83232d6b65a3 · outbound

This paper cites Ensembled CTR Prediction via Knowledge Distillation,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Ensembled CTR Prediction via Knowledge Distillation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.678813Z

Source-reported events for the cited work

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Observation 660bfba0-a5ac-44c0-85a6-06aacfd48346 · outbound

This paper cites FINAL: Factorized interaction layer for CTR prediction,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models FINAL: Factorized interaction layer for CTR prediction,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.663945Z

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 1b724555-05ff-43fd-91fd-124ae1b3f275 · outbound

This paper cites CETN: Contrast-enhanced Through Network for CTR Prediction.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models CETN: Contrast-enhanced Through Network for CTR Prediction

Reference 19

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Source-reported events for the cited work

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Observation a6303fc4-a31a-45b7-b830-b8429ab78c96 · outbound

This paper cites TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation,

Reference 20

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Observation 8ef552a5-44d8-487a-8f08-1a485a2a393c · outbound

This paper cites DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 21

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Observation 04d65439-66eb-47cb-975d-78a9e4280c11 · outbound

This paper cites Improving feature interactions at Pinterest under industry constraints.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Improving feature interactions at Pinterest under industry constraints

Reference 22

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Observation 0486f9de-9744-4401-bbf6-bfe7d0a4e060 · outbound

This paper cites Ads Recommendation in A Collapsed and Entangled World,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Ads Recommendation in A Collapsed and Entangled World,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.650209Z

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Observation 5a10b864-3e81-421f-bd6b-a73806c90214 · outbound

This paper cites Learning Multi-Branch Cooperation for Enhanced Click-Through Rate Prediction at Taobao.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Learning Multi-Branch Cooperation for Enhanced Click-Through Rate Prediction at Taobao

Reference 24

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Observation 175bb6ab-e661-4772-9c31-585825a8dbe3 · outbound

This paper cites Scaling Laws for Neural Language Models.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Scaling Laws for Neural Language Models

Reference 25

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Observation 8322b886-47b2-4937-ae6a-9d245af2d2be · outbound

This paper cites Knowledge Distillation: A Survey,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Knowledge Distillation: A Survey,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.636883Z

Source-reported events for the cited work

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Observation 8065f094-c908-4aff-a58f-2358dfa74883 · outbound

This paper cites When Object Detection Meets Knowledge Distillation: A Survey,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models When Object Detection Meets Knowledge Distillation: A Survey,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.623646Z

Source-reported events for the cited work

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Observation 1f76c162-48c4-46ba-ae12-17f52812b47f · outbound

This paper cites Distilling the Knowledge in a Neural Network.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Distilling the Knowledge in a Neural Network

Reference 28

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Observation ac5dfe90-b31f-4cfa-b2db-c3a4e7a63d4e · outbound

This paper cites Deep Mutual Learning,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Deep Mutual Learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.610851Z

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Observation e4485753-b514-4c1f-bf30-037f3337ea8c · outbound

This paper cites Online Knowledge Distillation via Collaborative Learning,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Online Knowledge Distillation via Collaborative Learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.598888Z

Source-reported events for the cited work

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Observation 33e75f73-9d9b-4a7a-9bc5-c0400ac6e109 · outbound

This paper cites Predicting Clicks: Estimating the Click-through Rate for New Ads,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Predicting Clicks: Estimating the Click-through Rate for New Ads,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.586305Z

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Observation 5c81bcf9-752f-4578-9d1e-bff5d22f195a · outbound

This paper cites Factorization Machines,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Factorization Machines,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.572958Z

Source-reported events for the cited work

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Observation 1af4d334-1325-4c86-8068-d27597f03b2a · outbound

This paper cites Deep Neural Networks for YouTube Recommendations,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Deep Neural Networks for YouTube Recommendations,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.559643Z

Source-reported events for the cited work

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Observation 2e3eb00b-f025-49b4-925d-d49bcc92a58c · outbound

This paper cites Neural Factorization Machines for Sparse Pre- dictive Analytics,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Neural Factorization Machines for Sparse Pre- dictive Analytics,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.546176Z

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Observation 3d57a3cc-33fa-4af9-9922-ff97efe45971 · outbound

This paper cites Wide & Deep Learn- ing for Recommender Systems,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Wide & Deep Learn- ing for Recommender Systems,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.532678Z

Source-reported events for the cited work

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Observation 81b6222a-f4cb-429b-b689-040723822ccf · outbound

This paper cites AdaGIN: Adaptive Graph Interaction Network for Click-Through Rate Prediction,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models AdaGIN: Adaptive Graph Interaction Network for Click-Through Rate Prediction,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.518219Z

Source-reported events for the cited work

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Observation c2ff1905-f635-40e0-a136-41cd18ddf70b · outbound

This paper cites SimCEN: Simple Contrast- enhanced Network for CTR Prediction,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models SimCEN: Simple Contrast- enhanced Network for CTR Prediction,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.505407Z

Source-reported events for the cited work

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Observation 5cc37388-9fcf-415f-a02d-6745e16c99c7 · outbound

This paper cites Enhancing explicit and implicit feature in- teractions via information sharing for parallel deep CTR models,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Enhancing explicit and implicit feature in- teractions via information sharing for parallel deep CTR models,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.493143Z

Source-reported events for the cited work

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Observation 6c010514-85e6-4d6b-9963-471abe7526c6 · outbound

This paper cites FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction,

Reference 39

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Observation 2722e0d4-b5c0-4fd6-8a49-40c9d0d8e04c · outbound

This paper cites On the Efficacy of Knowledge Distillation,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models On the Efficacy of Knowledge Distillation,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.479922Z

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Observation 6792a117-5615-4a53-8f3a-150117898991 · outbound

This paper cites Adaptive Multi-teacher Multi-level Knowledge Distillation,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Adaptive Multi-teacher Multi-level Knowledge Distillation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.467215Z

Source-reported events for the cited work

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Observation c921ca44-addf-41a9-8b59-202bf9227a62 · outbound

This paper cites Decoupled knowledge distillation,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Decoupled knowledge distillation,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T13:37:15.648867Z

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Observation ca2580fb-a6a5-4b10-8507-ab7f943e905b · outbound

This paper cites Self-Knowledge Distillation in Natural Language Processing.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Self-Knowledge Distillation in Natural Language Processing

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T13:37:15.652974Z

Source-reported events for the cited work

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Observation 1e548efa-8491-4424-bce5-a311704e3eb0 · outbound

This paper cites Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.445548Z

Source-reported events for the cited work

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Observation 3b356fb9-5d08-4b8c-bce6-b0bafc89c7ec · outbound

This paper cites BKD: A Bridge-based Knowledge Distillation Method for Click-Through Rate Prediction,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models BKD: A Bridge-based Knowledge Distillation Method for Click-Through Rate Prediction,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.431427Z

Source-reported events for the cited work

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Observation a568ab9d-1d0e-4601-9e5b-7d147c615683 · outbound

This paper cites Position Awareness Modeling with Knowledge Distillation for CTR Prediction,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Position Awareness Modeling with Knowledge Distillation for CTR Prediction,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.416566Z

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 95bd0b8f-351f-4909-96bb-ecc7dc6d47f7 · outbound

This paper cites Mutual Learning for Finetuning Click-Through Rate Prediction Models.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Mutual Learning for Finetuning Click-Through Rate Prediction Models

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:37:15.849457Z

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

Observation 30b5b8f6-d3a0-4cf1-aa76-2f23ff6eabf4 · outbound

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

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models On the Embedding Collapse When Scaling up Recommendation Models,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.402516Z

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Observation d4e9200a-3cd4-47c1-bc96-4c293eb5bc3b · outbound

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

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Understanding Dimensional Collapse in Contrastive Self-supervised Learning,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.387970Z

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Observation 8b27ba8d-75cd-4ee7-acc7-3123408125a2 · outbound

This paper cites On Feature Decorrelation in Self-supervised Learning,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models On Feature Decorrelation in Self-supervised Learning,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.372683Z

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

Observation e03bf6f5-2243-48b4-96dc-0ced92a534c4 · outbound

This paper cites Singular Value Decom- position and Principal Component Analysis,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Singular Value Decom- position and Principal Component Analysis,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.357844Z

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

Observation 8cf40c7b-841e-4012-9a60-6f26eaacf7d6 · outbound

This paper cites Deep & cross network for ad click predictions,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Deep & cross network for ad click predictions,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T13:37:15.693246Z

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Observation 12d43a68-0c60-46f6-9486-6a52a27002db · outbound

This paper cites Emergent Abilities of Large Language Models.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Emergent Abilities of Large Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T13:37:15.697453Z

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Observation d06abaad-45e8-4209-9629-592021172690 · outbound

This paper cites The Criteo Dataset,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models The Criteo Dataset,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.335666Z

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Observation 0efd39d8-93d0-45f9-8775-d2886778102f · outbound

This paper cites Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.322468Z

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Observation 72e78d45-a98f-4e25-ae4b-cd528b1ade6e · outbound

This paper cites Product-based neural networks for user response prediction over multi-field categorical data,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Product-based neural networks for user response prediction over multi-field categorical data,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.307308Z

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

Observation b0f0370b-2505-40a2-8b1e-b916ce4cab8c · outbound

This paper cites Combo-Fashion: Fashion Clothes Matching CTR Prediction with Item History,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Combo-Fashion: Fashion Clothes Matching CTR Prediction with Item History,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.290502Z

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Observation 486463a4-af9a-48ba-bcc6-82765caadd4c · outbound

This paper cites Product- based Neural Networks for User Response Prediction,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Product- based Neural Networks for User Response Prediction,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.275111Z

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 d19adef9-435c-4c41-95bc-5b05de719431 · outbound

This paper cites Adaptive Factorization Network: Learning Adaptive-order Feature Interactions,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Adaptive Factorization Network: Learning Adaptive-order Feature Interactions,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.261909Z

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Observation 110099b8-9f73-416d-97c8-f428c5b0fb07 · outbound

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

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T13:37:15.726101Z

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Observation 0f522567-9388-4c4b-b24d-b368b10500b8 · outbound

This paper cites CL4CTR: A Contrastive Learning Framework for CTR Prediction,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models CL4CTR: A Contrastive Learning Framework for CTR Prediction,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.249023Z

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

Observation 2cc7366d-9d00-4303-8269-947e64c2fd2d · outbound

This paper cites Rotative Factoriza- tion Machines,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Rotative Factoriza- tion Machines,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.235602Z

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Observation 10e72d98-3f6e-4cf4-aeba-edba9de55c2b · outbound

This paper cites PyTorch: An imperative style, high-performance deep learning library,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models PyTorch: An imperative style, high-performance deep learning library,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T13:37:15.738549Z

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Unavailable: canonical work link unavailable.

Observation 6f37fce6-e299-4130-88f9-033b0343774f · outbound

This paper cites An open-source CTR prediction library,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models An open-source CTR prediction library,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.211573Z

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Observation 9327ec2f-b80d-44ac-a1b5-d5bbbec7bdaf · outbound

This paper cites Adam: A Method for Stochastic Optimization.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Adam: A Method for Stochastic Optimization

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T13:37:15.746632Z

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Observation 94cd036f-5549-4bc7-b450-2485ee47d8bd · outbound

This paper cites Neural collabo- rative filtering vs. matrix factorization revisited,.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Neural collabo- rative filtering vs. matrix factorization revisited,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.197235Z

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

Observation 628e1cd7-3278-4064-9f90-ef4dfeb66a1d · outbound

This paper cites Visualizing data using t-SNE.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Visualizing data using t-SNE

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.182140Z

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 2480f135-b53b-46b2-b4f8-c3c5a8b84ef0 · outbound

This paper cites His current research interests include natural language processing, data mining, and recommendation systems.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models His current research interests include natural language processing, data mining, and recommendation systems

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:16.164899Z

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 2c24a992-fbfa-4b87-b9d5-a2f1ee2d4f01 · inbound

Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction cites this paper.

Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:44:36.261884Z

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