Paper Citation Record · LEDGER

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference

As of 20 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2411.17361.

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

pith.paper-citation-record.v1
2411.17361 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:18:10.935842Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

39 of 39 outbound references displayed

verified exact0
verified fuzzy29
unresolved10
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87e7c1bd-2a63-4073-a9ce-095bbbc489dc · outbound

This paper cites Domain invariant transfer kernel learning,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Domain invariant transfer kernel learning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.280633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e6f830d1-c475-460c-a891-ad76705c26ce · outbound

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

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Cross-domain recommendation: An embedding and mapping approach

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.272137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b63fc356-bdd5-408d-9816-1c82f903b640 · outbound

This paper cites Transfer-meta framework for cross-domain recommendation to cold-start users,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Transfer-meta framework for cross-domain recommendation to cold-start users,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.263209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5e84e8ee-cba5-42dd-ac8d-26ab0688edff · outbound

This paper cites Cross- domain recommendation via progressive structural alignment,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Cross- domain recommendation via progressive structural alignment,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.254191Z

Source-reported events for the cited work

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Observation ef19fe38-0a40-46d6-9dd2-8fc9d134cb06 · outbound

This paper cites Cross-domain knowledge graph chiasmal embedding for multi-domain item-item recommenda- tion,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Cross-domain knowledge graph chiasmal embedding for multi-domain item-item recommenda- tion,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.244201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ba041b82-dba7-4717-a0a9-19babe0ae77a · outbound

This paper cites Disencdr: Learning disentangled representations for cross-domain recommendation,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Disencdr: Learning disentangled representations for cross-domain recommendation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.234140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d4da5eef-f3b3-4af2-b0c3-7fa062f6fcf2 · outbound

This paper cites Cross-domain recom- mendation to cold-start users via variational information bottleneck,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Cross-domain recom- mendation to cold-start users via variational information bottleneck,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.224751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 34a28438-f953-407e-9a7e-bc94269a732f · outbound

This paper cites Distributional domain-invariant preference matching for cross-domain recommendation,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Distributional domain-invariant preference matching for cross-domain recommendation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.215579Z

Source-reported events for the cited work

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Observation 1ba605a1-796e-485c-b5bf-30ad067c642a · outbound

This paper cites Identifiability of cross-domain recommendation via causal sub- space disentanglement,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Identifiability of cross-domain recommendation via causal sub- space disentanglement,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.206240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 973fdc5f-9725-4f21-8da4-6d6fe2f1e8e2 · outbound

This paper cites Learning transferable features with deep adaptation networks,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Learning transferable features with deep adaptation networks,

Reference 10

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Source-reported events for the cited work

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Observation d264a1e9-a69c-4633-b75a-d28ba69227e9 · outbound

This paper cites Visualizing and understanding convo- lutional networks,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Visualizing and understanding convo- lutional networks,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T12:18:10.847390Z

Source-reported events for the cited work

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Observation d30f10d7-baab-44dd-81c1-6bbeb8b48da6 · outbound

This paper cites Domain adaptation as a problem of inference on graphical models,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Domain adaptation as a problem of inference on graphical models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.187014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 700d1c8e-b8d2-4511-95ec-51601419d15a · outbound

This paper cites Efficient recovery of missing events,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Efficient recovery of missing events,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T12:18:10.854003Z

Source-reported events for the cited work

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Observation 70679c4e-f8d6-4ce6-94aa-b64ec79ada50 · outbound

This paper cites Neural autoregressive flows,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Neural autoregressive flows,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.173236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f070cf7-2973-4350-9dc4-0da3d6753d1f · outbound

This paper cites So- cial recommendation with cross-domain transferable knowledge,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference So- cial recommendation with cross-domain transferable knowledge,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.164719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9118dfe2-83fc-4d42-973f-74cc1acaa9a6 · outbound

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

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference A unified framework for cross-domain and cross-system recommendations,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.154995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eb2e3175-ee24-4c98-a5f9-e359cb532e9b · outbound

This paper cites A vae-based user preference learning and transfer framework for cross-domain recom- mendation,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference A vae-based user preference learning and transfer framework for cross-domain recom- mendation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.146308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0aa50c3b-ee4b-4566-a107-b742478e9298 · outbound

This paper cites A heterogeneous information network based cross domain insurance recommendation system for cold start users,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference A heterogeneous information network based cross domain insurance recommendation system for cold start users,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.137075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a2d7cbfa-39f5-494c-bb8f-c92bf2a5d25e · outbound

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

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Personalized transfer of user preferences for cross-domain recommendation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.127661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 18a5f56c-5fe8-46ed-97c9-1acec809ca7a · outbound

This paper cites Dual metric learning for effective and efficient cross-domain recommendations,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Dual metric learning for effective and efficient cross-domain recommendations,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.118886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fb87e941-ee56-451d-a6f6-095a8bbf0ced · outbound

This paper cites Relational learning via collective matrix factorization,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Relational learning via collective matrix factorization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.108853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ff05487d-27e8-45f9-8efc-913c02402259 · outbound

This paper cites Localized factor models for multi-context recommendation,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Localized factor models for multi-context recommendation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.098514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e7f1f3c3-5bcf-47b6-8069-6b2e21f58f5c · outbound

This paper cites A deep dual adver- sarial network for cross-domain recommendation,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference A deep dual adver- sarial network for cross-domain recommendation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.089575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6d07adac-20e6-46e5-80a5-284fba59aacb · outbound

This paper cites Towards universal cross-domain recommendation,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Towards universal cross-domain recommendation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.079956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aa4088d2-412c-4ef3-bb9e-3f71232701a8 · outbound

This paper cites A theory of independent mechanisms for extrapolation in generative models,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference A theory of independent mechanisms for extrapolation in generative models,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.070187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 03c54d05-ab76-4e2c-b9c2-a2b0f6ee3189 · outbound

This paper cites Intrinsic dimension of data representations in deep neural networks,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Intrinsic dimension of data representations in deep neural networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.061258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fe4b298a-effc-4592-871b-649363fe5345 · outbound

This paper cites Deep transfer learning with joint adaptation networks,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Deep transfer learning with joint adaptation networks,

Reference 27

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Source-reported events for the cited work

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Observation b2cf7368-f4cd-4b05-8a3e-1dbaca726b48 · outbound

This paper cites Variational inference with normalizing flows,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Variational inference with normalizing flows,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T12:18:10.900785Z

Source-reported events for the cited work

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Observation 39fab413-ef07-4380-bcee-9755d5d6a763 · outbound

This paper cites A rate- distortion view of uncertainty quantification,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference A rate- distortion view of uncertainty quantification,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.042336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8e8faf7e-2d56-44ee-b4e7-1088aa464a70 · outbound

This paper cites Partial disentanglement for domain adaptation,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Partial disentanglement for domain adaptation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.033303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d0bdb21a-fe42-44b7-a1c9-a6d536e06bdd · outbound

This paper cites Masked autoregressive flow for density estimation,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Masked autoregressive flow for density estimation,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T12:18:10.910219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eac21a3-43e8-4173-86ff-99e8b9593480 · outbound

This paper cites Neural ordinary differential equations,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Neural ordinary differential equations,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T12:18:10.913115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b4dd194-3858-45da-9603-e341ba614cc9 · outbound

This paper cites Normalizing flows on tori and spheres,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Normalizing flows on tori and spheres,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:11.014336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f4b9ea1d-a73f-4aa6-b878-0f58ddf6a22c · outbound

This paper cites Auto-Encoding Variational Bayes.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Auto-Encoding Variational Bayes

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T12:18:10.918888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2d26be1-3197-4d32-a765-4f95d58c7c5b · outbound

This paper cites Deep Variational Information Bottleneck.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Deep Variational Information Bottleneck

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T12:18:10.922435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba6583fb-139f-4d3a-b69a-1d133d8e791b · outbound

This paper cites Neural graph collaborative filtering,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Neural graph collaborative filtering,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T12:18:10.925910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a0030ea-47f2-4ca3-844c-fc379cb23ac9 · outbound

This paper cites On sampled metrics for item recommenda- tion,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference On sampled metrics for item recommenda- tion,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:10.999891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 68c80aa9-7091-41ae-afc7-4beb32c73afa · outbound

This paper cites Improved learning in convolutional neural networks with shifted exponential linear units (shelus),.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Improved learning in convolutional neural networks with shifted exponential linear units (shelus),

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:10.990082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5083b66f-43c7-4c17-b780-a840690474a0 · outbound

This paper cites Dnn speaker adaptation using param- eterised sigmoid and relu hidden activation functions,.

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference Dnn speaker adaptation using param- eterised sigmoid and relu hidden activation functions,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:18:10.980600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

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