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Paper Citation Record · LEDGER

Latent User Linking for Collaborative Cross Domain Recommendation

As of 16 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:1908.06583.

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

pith.paper-citation-record.v1
1908.06583 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:44:59.221682Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

31 of 31 outbound references displayed

  • verified exact1
  • verified fuzzy26
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 520c69ed-b5f5-42d6-9308-0576c1d61b9d · outbound

This paper cites and POO, D.C.C., 2018.

Latent User Linking for Collaborative Cross Domain Recommendation and POO, D.C.C., 2018

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.704276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.092656Z digest=sha256:c52d94c9405f58e053e761cba90d88eed57c1eddfed79810aa726f6befd09428

Observation 3a752ea5-b8d9-48fb-b3db-a69639512250 · outbound

This paper cites an unresolved cited work.

Latent User Linking for Collaborative Cross Domain Recommendation Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:44:59.686573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.097370Z digest=sha256:434d91ce4abc7cb9115ece40fe5830be8afe0aa6f6560e4bbfdba705eb91ef5c

Observation aa65db4d-5a97-4ff2-9265-bedb4772c65f · outbound

This paper cites Cold-start recommendations in Collective Matrix Factorization.

Latent User Linking for Collaborative Cross Domain Recommendation Cold-start recommendations in Collective Matrix Factorization

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:44:59.296983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.105971Z digest=sha256:b0cd284e1f26454b06d099e553051f626502eafa8fa5bf4791eb521886d2e22b

Observation aecf727a-09e6-438f-ba44-4fe078627d3e · outbound

This paper cites A multi -view deep learning approach for cross domain user modeling in recommendation systems.

Latent User Linking for Collaborative Cross Domain Recommendation A multi -view deep learning approach for cross domain user modeling in recommendation systems

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.655616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.110923Z digest=sha256:7cfebcaf1e5af818747f8680313a106509125df9128b24dce67d21d4534d030a

Observation a7849ac3-5732-4a2c-a7bc-daca49089b56 · outbound

This paper cites and KONSTAN, J.A., 2016.

Latent User Linking for Collaborative Cross Domain Recommendation and KONSTAN, J.A., 2016

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.643741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.115348Z digest=sha256:e8832ed9616e50c83ff443f7e2cf7a604181e84b4f12bd3b7f992153b449324d

Observation 2dd6892e-a1cb-49e8-bbee-64f14ee7668f · outbound

This paper cites Robust Transfer Learning for Cross -domain Collaborative Filtering Using Multiple Rating Patterns Approximation.

Latent User Linking for Collaborative Cross Domain Recommendation Robust Transfer Learning for Cross -domain Collaborative Filtering Using Multiple Rating Patterns Approximation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.630989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.120852Z digest=sha256:7df0dc1e6221b60d778968fc4071724cd0105f5c781914834feadb3eebba879b

Observation 9e36ff3b-040f-4994-9026-38dedf8fc976 · outbound

This paper cites and MCAULEY, J., 2016.

Latent User Linking for Collaborative Cross Domain Recommendation and MCAULEY, J., 2016

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.616491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.129318Z digest=sha256:fdbd41ef9b9ca60bb6e16464b3be1856b1182c3c84fd10cc554d5bf2320d1628

Observation 35463f7e-c9fc-44b7-9f34-0c7bf9ec4cab · outbound

This paper cites Neural collaborative filtering.

Latent User Linking for Collaborative Cross Domain Recommendation Neural collaborative filtering

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.601939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.133631Z digest=sha256:5fe8e9de2a2ecfe57f9c32e758facfcf4c83b313fec76119effaebd2207b6b72

Observation 02b3e416-f091-4ab3-91ce-7a51e0e9c35e · outbound

This paper cites CoNet: Collaborative Cross Networks for Cross -Domain Recommendation.

Latent User Linking for Collaborative Cross Domain Recommendation CoNet: Collaborative Cross Networks for Cross -Domain Recommendation

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.583394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.137815Z digest=sha256:801bf02a3f5f3455401e804bbdcf2264a89f1a50f66237d9b58d2b2a52c3de5e

Observation 97dfa762-6a25-4f4a-adf7-7df47ef89b2d · outbound

This paper cites MTNet: A Neu ral Approach for Cross-Domain Recommendation with Unstructured Text.

Latent User Linking for Collaborative Cross Domain Recommendation MTNet: A Neu ral Approach for Cross-Domain Recommendation with Unstructured Text

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.567392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.142103Z digest=sha256:335b4f2d9d9531dc026e097d3187cf777dae8fbdbe4db7a10de1acc3180fed3f

Observation 791ec4ac-c592-4c0c-93c6-8ecf8ac96e02 · outbound

This paper cites Personalized recommendation via cross -domain triadic factorization.

Latent User Linking for Collaborative Cross Domain Recommendation Personalized recommendation via cross -domain triadic factorization

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.551964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.146419Z digest=sha256:fee7184cccd670bab38107a0636b94fd92d4189f79ca1129eddeb1852ded40a0

Observation 9df3da03-1255-4a84-99a7-4e2d1b897651 · outbound

This paper cites Auto-Encoding Variational Bayes.

Latent User Linking for Collaborative Cross Domain Recommendation Auto-Encoding Variational Bayes

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T12:44:59.150305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:44:59.150305Z digest=sha256:5a692a49f92b84886d50ed2abc831f521ac4a99923481227d82d7b0d5af04e64

Observation 101a1683-ec4a-4b80-9f0e-68da03f931b6 · outbound

This paper cites Training Deep AutoEncoders for Collaborative Filtering.

Latent User Linking for Collaborative Cross Domain Recommendation Training Deep AutoEncoders for Collaborative Filtering

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-14T12:44:59.153925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:44:59.153925Z digest=sha256:a1efbe34d76e9b3dc1ebea9700eda83a0ac1dc926228694f6010e5cb7ae04a4e

Observation c67f12b5-fabf-4c70-bd6f-7f50213d0f0b · outbound

This paper cites Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction.

Latent User Linking for Collaborative Cross Domain Recommendation Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.532279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.158123Z digest=sha256:3a6ee033fb0f1c44f38c4910d6dc112b73121c6651584406bfdf901a74d092ab

Observation b47ca9a4-d786-4e14-a661-d4936c91dcd6 · outbound

This paper cites and SHE, J., 2017.

Latent User Linking for Collaborative Cross Domain Recommendation and SHE, J., 2017

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.518479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.161853Z digest=sha256:7e2fb2e225bc6bc8bfcb9cd4de9694fdeae6b54a4dff086231feb74155322472

Observation 33d78c54-f70d-44a3-be60-3f55430e0615 · outbound

This paper cites CCCFNet: a content - boosted collaborative filtering neural network for cross do main recommender systems.

Latent User Linking for Collaborative Cross Domain Recommendation CCCFNet: a content - boosted collaborative filtering neural network for cross do main recommender systems

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.503029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.165489Z digest=sha256:eb0c27cde5ebbe3fb18e25eda89101965d35f373dbedbb14d21f4c65d12369e4

Observation 44822765-5565-4cbd-9e3b-4c1b0adef8a1 · outbound

This paper cites Transferable representation learning with deep adaptation networks.

Latent User Linking for Collaborative Cross Domain Recommendation Transferable representation learning with deep adaptation networks

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.486773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.169397Z digest=sha256:02997df81095d21b31a63848cc00fa8af8ad1f9bf2e44f64f900b33e5c6e20e1

Observation 84656aba-bc95-4c3e-8abc-aafbd006603c · outbound

This paper cites Cross -domain collaborative filtering with factorization machines.

Latent User Linking for Collaborative Cross Domain Recommendation Cross -domain collaborative filtering with factorization machines

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.471399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.173216Z digest=sha256:b0a36d549755448782c1ca7170574fe3e6abf46de9506928feeec74d38d2a53a

Observation 10afd614-9ee5-4498-89ec-a7e5c4bd01e1 · outbound

This paper cites Cross -Domain Recommendation: An Embedding and Mapping Approach.

Latent User Linking for Collaborative Cross Domain Recommendation Cross -Domain Recommendation: An Embedding and Mapping Approach

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.457968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.177572Z digest=sha256:025fd9b22caac59d31a0cc6238122828fdbededdbc3869a06187d0e3d6bb53ee

Observation 9721fa56-d405-44f9-980d-085560e167b1 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Latent User Linking for Collaborative Cross Domain Recommendation Efficient Estimation of Word Representations in Vector Space

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-14T12:44:59.181450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:44:59.181450Z digest=sha256:bfd5a26508436e322c96dd1c4b51e4d045fdd6792b8df326565b293e76d2947e

Observation 36eafa2b-58bf-4510-89e3-dca90ffb8615 · outbound

This paper cites BPR: Bayesian personalized ranking from implicit feedback.

Latent User Linking for Collaborative Cross Domain Recommendation BPR: Bayesian personalized ranking from implicit feedback

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.443606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.185590Z digest=sha256:ec844ec458962b13a6e2f241d6ca3c2c7502c55443ad811f5178801791642a01

Observation c855350d-0fc5-4a9f-97dd-57a74d2d70de · outbound

This paper cites Autorec: Autoencoders meet collaborative filtering.

Latent User Linking for Collaborative Cross Domain Recommendation Autorec: Autoencoders meet collaborative filtering

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.427478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.189381Z digest=sha256:864cfe17af3f47493cb35a39a8c82736faf42e89528c02d7d01a1b310e8367d4

Observation bc8d6bf7-35f0-46e4-ac9c-0326f5d785ed · outbound

This paper cites -J., TANG, J., and WANG, J., 2015.

Latent User Linking for Collaborative Cross Domain Recommendation -J., TANG, J., and WANG, J., 2015

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.413598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.193228Z digest=sha256:b1af0f84008110332c2fcb24d1e1fd3e106075a42cae3378f14b76f3309d4cce

Observation d38f149d-1851-49cd-ac5d-a306bb4cbb76 · outbound

This paper cites and GORDON, G.J., 2008.

Latent User Linking for Collaborative Cross Domain Recommendation and GORDON, G.J., 2008

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.401470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.196991Z digest=sha256:15b654c72259cbf260ce747647336e3691dbbe8ffd9678c49ccdddc2b201dfb1

Observation 933e1ba7-c60a-4f56-9e5e-e32d6d81bc67 · outbound

This paper cites Struct ural deep network embedding.

Latent User Linking for Collaborative Cross Domain Recommendation Struct ural deep network embedding

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.388684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.200901Z digest=sha256:79dad7e36293d91e0d907da5141ca81e7dbd1f237c8b100e8f2c457be1bcc839

Observation d5ac8907-35f9-44a8-b22f-eb4a5e0b55c8 · outbound

This paper cites Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation.

Latent User Linking for Collaborative Cross Domain Recommendation Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.372645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.204728Z digest=sha256:502e97a2b0be2f7c21166982a02bd45c01e16c25fe3318869cbf8e438f11b00b

Observation 0c5d20a1-0658-40f9-a052-42c5aed0c4d9 · outbound

This paper cites Collaborative deep learning for recommender systems.

Latent User Linking for Collaborative Cross Domain Recommendation Collaborative deep learning for recommender systems

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.358479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.208796Z digest=sha256:22612cbc8082c7b61609b60729901df16cd04c0dc764cd95677f3ef1cf34b249

Observation 099086ff-91ee-456f-b947-1f000854a53a · outbound

This paper cites -Y., 2016.

Latent User Linking for Collaborative Cross Domain Recommendation -Y., 2016

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.336306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.213253Z digest=sha256:679d7b6ffe3bd1c68f5aca1c108223fbb3ab2fdea4e28dcd527c1cac173c3c4a

Observation ce0f8f1d-b840-46d0-8b7f-b40fb245b167 · outbound

This paper cites Unsupervised learning of phase transitions: From principal component analysis to variational autoencoders.

Latent User Linking for Collaborative Cross Domain Recommendation Unsupervised learning of phase transitions: From principal component analysis to variational autoencoders

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.322951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.217184Z digest=sha256:fe959a1aaf9ff2f900cc050bd9432b496a3624fa584133ba53c0ed5e2472045e

Observation fcff341d-bc49-42c7-95ee-a2e81299dc54 · outbound

This paper cites Supervised representation learnin g: Transfer learning with deep autoencoders.

Latent User Linking for Collaborative Cross Domain Recommendation Supervised representation learnin g: Transfer learning with deep autoencoders

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.310040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.221682Z digest=sha256:840c726a9b87d412e356c7e201fc816148b1f0c60b6647c5a41c04d6a7933466

Observation 0efa7e45-f261-4e8c-a1d9-ef386b3b468a · outbound

This paper cites In Proceedings of the Recommender Systems Handbook (2015), Springer, 919-959.

Latent User Linking for Collaborative Cross Domain Recommendation In Proceedings of the Recommender Systems Handbook (2015), Springer, 919-959

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:59.671201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:44:59.101445Z digest=sha256:aa5442dc101c041cbe20e482c43b3c605199bf7890d66b1671bb728cf64e585e

Pith citing papers

No inbound Pith citation observations are available.