Paper Citation Record · LEDGER

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction

As of 13 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2606.10243.

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

pith.paper-citation-record.v1
2606.10243 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T16:56:12.040446Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

verified exact14
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch12

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a292d953-0960-4a8e-bea6-96f0884eb9d6 · outbound

This paper cites WebFAQ : A multilingual collection of natural Q&A datasets for dense retrieval.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction WebFAQ : A multilingual collection of natural Q&A datasets for dense retrieval

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T17:01:07.882785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ac57fc81-9861-4312-b8f1-dc44d75ed1c7 · outbound

This paper cites arXiv:2211.06684 [cs.LG]https://arxiv.org/abs/2211.06684 Wei Deng, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, and Guang Lin.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction arXiv:2211.06684 [cs.LG]https://arxiv.org/abs/2211.06684 Wei Deng, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, and Guang Lin

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:57:30.141467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5667e322-8bd7-47f2-a674-e732b1c4ea68 · outbound

This paper cites DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:57:30.144324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0c6b954c-0ac7-42c9-b91d-5fce5b4dfd3e · outbound

This paper cites Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:57:30.132736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d7bb634c-470a-40dd-ab2c-fa87dcb5d68a · outbound

This paper cites A Unified Framework for Multi-Domain CTR Prediction via Large Language Models.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction A Unified Framework for Multi-Domain CTR Prediction via Large Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:57:30.127274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 573c82ab-7204-45f4-8df2-efccc888bdc9 · outbound

This paper cites Shampoo: Preconditioned Stochastic Tensor Optimization.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction Shampoo: Preconditioned Stochastic Tensor Optimization

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T00:57:30.129850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 89c20a36-03b0-44af-ae47-db1c084baff2 · outbound

This paper cites Self-Attentive Sequential Recommendation.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction Self-Attentive Sequential Recommendation

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T00:57:30.138124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 12fb8133-9627-4d05-b340-b435d15b106d · outbound

This paper cites Multi-Interest Network with Dynamic Routing for Recommendation at Tmall.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T00:57:30.124405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 797d154e-6487-4978-8e32-6364dce2f2ec · outbound

This paper cites Can generative llms create query variants for test collections? an exploratory study.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction Can generative llms create query variants for test collections? an exploratory study

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T17:01:07.885363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5bad6d52-3eaa-481a-b31e-c1b3f150987c · outbound

This paper cites SIDE: Semantic ID Embedding for effective learning from sequences.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction SIDE: Semantic ID Embedding for effective learning from sequences

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:57:30.112736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d1a1932e-29df-46d6-8cb2-bf25918f72e6 · outbound

This paper cites an unresolved cited work.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction Unresolved cited work

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:57:30.115961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e6813d1e-7552-4f36-9cdc-5d39161396cb · outbound

This paper cites One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:57:30.095018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0296b71d-c1d6-4921-8581-8e76d86d5139 · outbound

This paper cites Zortea, J.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction Zortea, J

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T17:01:07.880255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ca543ee3-0dd3-493c-875a-adcda86fabef · outbound

This paper cites Multi-Faceted Large Embedding Tables for Pinterest Ads Ranking.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction Multi-Faceted Large Embedding Tables for Pinterest Ads Ranking

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:57:30.100097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2b88b395-6c92-468c-ae96-22799be4f8b7 · outbound

This paper cites Async Learned User Embeddings for Ads Delivery Optimization.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction Async Learned User Embeddings for Ads Delivery Optimization

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:57:30.130952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9bf7202b-b622-464b-b5d2-aa0d96f9f99a · outbound

This paper cites UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:57:30.118955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9666e87f-4a16-4753-9873-84285c970f73 · outbound

This paper cites InProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22).

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction InProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22)

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-27T17:01:07.869996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7b4851bd-d275-41f3-87ae-c25e42995dc8 · outbound

This paper cites Proceedings of the 18th ACM Conference on Recommender Systems , pages =.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction Proceedings of the 18th ACM Conference on Recommender Systems , pages =

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T17:01:07.872577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 01503f3e-6e7f-4302-82ff-7433aa0d7a72 · outbound

This paper cites Deep & Cross Network for Ad Click Predictions.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction Deep & Cross Network for Ad Click Predictions

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T00:57:30.097185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6f93f327-4664-4036-ac6f-46ae7a6caae1 · outbound

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

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction Dcn v2: Improved deep & cross network and practical lessons for web-scale learning to rank systems

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T17:01:07.887823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7804d201-6b6d-4b10-856b-f0b7dbcb8e8b · outbound

This paper cites InProceedings of the Nineteenth ACM Conference on Recommender Systems (RecSys ’25).

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction InProceedings of the Nineteenth ACM Conference on Recommender Systems (RecSys ’25)

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-27T17:01:07.875220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7423164d-41a6-4ca0-a37f-08c5fad587d3 · outbound

This paper cites Contrastive Cross-domain Recommendation in Matching.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction Contrastive Cross-domain Recommendation in Matching

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:57:30.135463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ec562301-d474-44f2-b2c4-b5c4e9fa6091 · outbound

This paper cites arXiv:2601.20083 [cs.IR]https://arxiv.org/ abs/2601.20083 Zitao Xu, Weike Pan, and Zhong Ming.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction arXiv:2601.20083 [cs.IR]https://arxiv.org/ abs/2601.20083 Zitao Xu, Weike Pan, and Zhong Ming

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:57:30.106719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7cebea20-1e49-45bc-97da-f6ce217e71d8 · outbound

This paper cites InProceedings of the 17th ACM Conference on Recommender Systems(Singapore, Singapore)(RecSys ’23).

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction InProceedings of the 17th ACM Conference on Recommender Systems(Singapore, Singapore)(RecSys ’23)

Reference 24

Resolution: malformed identifier; arxiv_id, observed 2026-07-03T00:57:30.121789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 923c58a4-e6e4-49a8-bfb3-af1dce19e77c · outbound

This paper cites Scaling user modeling: Large-scale online user representations for ads personalization in meta.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction Scaling user modeling: Large-scale online user representations for ads personalization in meta

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T17:01:07.867213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 19c505b4-1bea-404f-a6d1-aaaa24ffb381 · outbound

This paper cites Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender System.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender System

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:57:30.109709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2fc43cbe-a641-4f51-9a08-5a652f2f837b · outbound

This paper cites Association for Computing Machinery, New York, NY, USA, p 640–651, doi:10.1145/3604915.3608805.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction Association for Computing Machinery, New York, NY, USA, p 640–651, doi:10.1145/3604915.3608805

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T17:01:07.877721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.