Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2203.11014.

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

pith.paper-citation-record.v1
2203.11014 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:32:44.525774Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

8
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dc522653-2819-45b2-9554-edf99829462f · inbound

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel cites this paper.

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:15:20.057051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 104e2642-a9d6-4578-9d3f-315a0a97de2e · inbound

Privacy Preserving Conversion Modeling in Data Clean Room cites this paper.

Privacy Preserving Conversion Modeling in Data Clean Room DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:32:44.525774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71bc7a0a-5d26-4b41-a236-d9602450161a · inbound

Action is All You Need: Dual-Flow Generative Ranking Network for Recommendation cites this paper.

Action is All You Need: Dual-Flow Generative Ranking Network for Recommendation DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:16.692491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0624fc8b-b3fe-4944-a0f3-fbe1e7e78588 · inbound

Synergizing Implicit and Explicit User Interests: A Multi-Embedding Retrieval Framework at Pinterest cites this paper.

Synergizing Implicit and Explicit User Interests: A Multi-Embedding Retrieval Framework at Pinterest DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:00.452476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90a8ff7b-10de-42b9-8c5c-f1d1bee4e7b8 · inbound

RankMixer: Scaling Up Ranking Models in Industrial Recommenders cites this paper.

RankMixer: Scaling Up Ranking Models in Industrial Recommenders DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T15:35:48.441026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbd19bde-e3a0-4367-bb8a-bb59510b07b4 · inbound

Request-Only Optimization for Recommendation Systems cites this paper.

Request-Only Optimization for Recommendation Systems DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:53.870023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f1818ed-20dc-448d-b6ca-0aef03c9d922 · inbound

Large Foundation Model for Ads Recommendation cites this paper.

Large Foundation Model for Ads Recommendation DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T18:30:14.431232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b29fd00-6322-4777-9419-fffca9c0a124 · inbound

Decoupled Entity Representation Learning for Pinterest Ads Ranking cites this paper.

Decoupled Entity Representation Learning for Pinterest Ads Ranking DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T10:15:57.729663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eab3c915-f0ae-4cf8-86b4-400a17abe466 · inbound

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta cites this paper.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:25.896757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e26c3e5a-cb7f-4658-97c9-261e223bd95d · inbound

MixFormer: Co-Scaling Up Dense and Sequence in Industrial Recommenders cites this paper.

MixFormer: Co-Scaling Up Dense and Sequence in Industrial Recommenders DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T23:22:49.137962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c216a8b-0c70-4a52-ad6a-34377b49b9a5 · inbound

FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation cites this paper.

FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:33:02.537641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ffdc48c1-6836-4191-a3a2-89d9f160e792 · inbound

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation cites this paper.

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:03:00.494587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1e702199-8400-4923-8162-443ad320762e · inbound

SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling cites this paper.

SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:11:03.253936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d7375e77-d048-4b02-9d4b-2ac0e838123a · inbound

Efficient Retrieval Scaling with Hierarchical Indexing for Large Scale Recommendation cites this paper.

Efficient Retrieval Scaling with Hierarchical Indexing for Large Scale Recommendation DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:36:01.066054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ddcb6b7b-4725-4835-86c5-5f41088b0259 · inbound

LoopCTR: Unlocking the Loop Scaling Power for Click-Through Rate Prediction cites this paper.

LoopCTR: Unlocking the Loop Scaling Power for Click-Through Rate Prediction DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:26:04.190276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cc8fe636-d7d3-4079-bd3a-e1beeb0f8c83 · inbound

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale cites this paper.

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:06:28.106974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation df69df37-67c9-44ef-a6da-cd11d50f667b · inbound

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale cites this paper.

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:59:46.186085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 51bca433-7297-4036-b051-9d09d3202d1b · inbound

Memento: Personalized RAG-Style Long-Retention Data Scaling for META Ads Recommendation cites this paper.

Memento: Personalized RAG-Style Long-Retention Data Scaling for META Ads Recommendation DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:24:49.885805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 342df981-3cc9-4ef0-b6bd-d6437e86a673 · inbound

On the Practice of Scaling Search Conversion Rate Prediction cites this paper.

On the Practice of Scaling Search Conversion Rate Prediction DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-29T15:03:31.990765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 191064db-190f-4c62-ba8a-d81919186185 · inbound

DeMix: Debugging Training Data with Mixed Data Error Types by Investigating Influence Vectors cites this paper.

DeMix: Debugging Training Data with Mixed Data Error Types by Investigating Influence Vectors DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-03T09:17:49.016688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1cc68f32-4ea2-4195-a9bf-6844f2b0a137 · inbound

GR2 Technical Report cites this paper.

GR2 Technical Report DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-01T11:55:43.039554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d87bc0ed-1bfa-48bd-8a51-c95434e0e03a · inbound

Optimus: A Generic Operator-Level PyTorch Model Transformation Framework cites this paper.

Optimus: A Generic Operator-Level PyTorch Model Transformation Framework DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-12T05:54:43.478745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cd656b0-150c-44fc-aaa4-8fc7534c5719 · inbound

UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction cites this paper.

UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-01T11:08:03.432311Z

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Unavailable: canonical work link unavailable.

Observation 5a248ad2-5846-489f-b42d-037b3b6cbfaf · inbound

Probabilistic Residual Learning for Online Recommendations cites this paper.

Probabilistic Residual Learning for Online Recommendations DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T09:14:45.679640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 410036d6-2d6b-4ada-bdc9-e17d25ebea36 · inbound

Bumblebee: Interleaved Mixed-Layer Building Blocks for Large-Scale Recommendation Systems cites this paper.

Bumblebee: Interleaved Mixed-Layer Building Blocks for Large-Scale Recommendation Systems DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T08:30:56.786736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d43a0cbe-3c28-4dfe-85ad-16d007ecd3db · inbound

ROCS: Request-Oriented Compute Sharing for Efficient Large-Scale Recommendation cites this paper.

ROCS: Request-Oriented Compute Sharing for Efficient Large-Scale Recommendation DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T02:11:17.830756Z

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Unavailable: canonical work link unavailable.

Observation 6418a0d2-93de-4fb6-9838-fa752f8321c6 · inbound

Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators cites this paper.

Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T00:47:02.574185Z

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Unavailable: canonical work link unavailable.

Observation d16bc664-2625-4d9d-bdea-19902e1bb432 · inbound

HCCL: Collective Communication for Meta Training and Inference Accelerators cites this paper.

HCCL: Collective Communication for Meta Training and Inference Accelerators DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T00:41:51.969063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.