Paper Citation Record · LEDGER

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning

As of 22 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2411.09286.

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

pith.paper-citation-record.v1
2411.09286 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:54:26.237886Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

28 of 28 outbound references displayed

verified exact3
verified fuzzy19
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 63a3c1e0-dcda-4b33-8e2e-0d5b406d423e · outbound

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

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T20:54:26.143199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2618aa2-1cfb-43c8-a551-db4bde9a0c8e · outbound

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

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Deep interest network for click-through rate prediction,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:54:26.504777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fac0e438-fe63-4f68-8457-ca245c139053 · outbound

This paper cites A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-12T20:54:26.308319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c344b632-70aa-479b-8c86-bf0c52a37ebf · outbound

This paper cites Predicting clicks: estimating the click-through rate for new ads,.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Predicting clicks: estimating the click-through rate for new ads,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:54:26.495516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 853ee7b8-67bb-46ae-b92a-0274df54b7ce · outbound

This paper cites Factorization machines,.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Factorization machines,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T20:54:26.158344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97715aa8-12fc-4c2b-9f0e-d653846a8d06 · outbound

This paper cites Field-aware factorization machines for ctr prediction,.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Field-aware factorization machines for ctr prediction,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:54:26.481531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1e3904eb-10dc-42d0-bdec-500056aef81f · outbound

This paper cites Product- based neural networks for user response prediction,.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Product- based neural networks for user response prediction,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:54:26.472435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a9e0462c-6db1-416b-948c-fb947cbe55c1 · outbound

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

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Wide & deep learning for recommender systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:54:26.463988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d835c367-2909-40ff-bd1c-11b7b5b49221 · outbound

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

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Deep & cross network for ad click predictions,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:54:26.455842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation da1ff787-04c0-48e9-b88e-c38aea02c400 · outbound

This paper cites Adaptive factorization network: Learning adaptive-order feature interactions,.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Adaptive factorization network: Learning adaptive-order feature interactions,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:54:26.446093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cae080b8-a618-4e6e-9135-1577200f4837 · outbound

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

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Dcn v2: Improved deep & cross network and practical lessons for web- scale learning to rank systems,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:54:26.436813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e3167f36-280a-4c3e-bca7-0724a952f13a · outbound

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

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Deep interest evolution network for click-through rate prediction,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:54:26.427975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 873abe48-797f-4e5e-81d2-989594978e3a · outbound

This paper cites Multi-interest network with dynamic routing for recommendation at tmall,.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Multi-interest network with dynamic routing for recommendation at tmall,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:54:26.419232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 076d65df-d3c1-4f5d-bdfd-6ddc97760281 · outbound

This paper cites Practice on long sequential user behavior modeling for click-through rate prediction,.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Practice on long sequential user behavior modeling for click-through rate prediction,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:54:26.410449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2e35acfe-8b6a-41e7-a07f-9db7821f4b2f · outbound

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

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Search-based user interest modeling with lifelong sequential behavior data for click-through rate prediction,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:54:26.401703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a6b1bc77-5e6a-4cb3-b4aa-f705b636b53e · outbound

This paper cites Cross-domain recommendation: An embedding and mapping approach.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Cross-domain recommendation: An embedding and mapping approach

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T20:54:26.201061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 038216de-53c9-47c7-acbc-ec030c96de0c · outbound

This paper cites Dtcdr: A framework for dual-target cross-domain recommendation,.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Dtcdr: A framework for dual-target cross-domain recommendation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:54:26.386854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fad99d99-171a-48b8-a8fe-4005b312b8db · outbound

This paper cites Cross-domain attention network with wasserstein regularizers for e-commerce search,.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Cross-domain attention network with wasserstein regularizers for e-commerce search,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:54:26.376586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 156b8a73-d7dc-490e-a916-6caef44cba25 · outbound

This paper cites A Deep Framework for Cross-Domain and Cross-System Recommendations.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning A Deep Framework for Cross-Domain and Cross-System Recommendations

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-12T20:54:26.293643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1be37a24-c870-4bd7-921b-7782a157f229 · outbound

This paper cites A unified framework for cross-domain and cross-system recommendations,.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning A unified framework for cross-domain and cross-system recommendations,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:54:26.366651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 734f14a8-1193-492a-87b1-c036563e21e3 · outbound

This paper cites DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-12T20:54:26.280067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 214ce8f9-45b3-44e4-b2c8-7684a4b55272 · outbound

This paper cites Conet: Collaborative cross networks for cross-domain recommendation,.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Conet: Collaborative cross networks for cross-domain recommendation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:54:26.358530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation de74bfbe-beef-45e7-bf35-9919ca5557d2 · outbound

This paper cites Ddtcdr: Deep dual transfer cross domain recommendation,.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Ddtcdr: Deep dual transfer cross domain recommendation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:54:26.349918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5b12dc5b-84fa-4e73-bff8-f5488118e8eb · outbound

This paper cites Minet: Mixed interest network for cross-domain click- through rate prediction,.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Minet: Mixed interest network for cross-domain click- through rate prediction,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:54:26.339970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 657f91de-39d3-4aea-9d15-6afb8ca1d0a5 · outbound

This paper cites Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T20:54:26.229101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dc58132-6c2f-4509-8490-897b17495f13 · outbound

This paper cites Personalized transfer of user preferences for cross-domain recommendation,.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Personalized transfer of user preferences for cross-domain recommendation,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T20:54:26.231958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b214cd2d-dce0-49bb-b239-df8194d1d061 · outbound

This paper cites DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T20:54:26.234663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bb823da-1883-498d-b033-7377bc161a80 · outbound

This paper cites One model to serve all: Star topology adaptive recommender for multi-domain ctr prediction,.

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning One model to serve all: Star topology adaptive recommender for multi-domain ctr prediction,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:54:26.325222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.