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Paper Citation Record · LEDGER

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion

As of 6 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2604.17681.

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

pith.paper-citation-record.v1
2604.17681 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T04:35:05.032278Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

57 of 57 outbound references displayed

  • verified exact1
  • verified fuzzy55
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 50f2ee00-f59a-48cf-b8ba-a8fb9d6395d1 · outbound

This paper cites 2022 IEEE International Conference on Big Data (Big Data) , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion 2022 IEEE International Conference on Big Data (Big Data) , pages=

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:04.046462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:98665bf2c1758a7311c38e765273e45b20285f12f823db7ce7dec2ae07eeb8fc

Observation b6a57282-a539-44ec-8e51-e5087e558731 · outbound

This paper cites Proceedings of the ACM Web Conference 2022 , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the ACM Web Conference 2022 , pages=

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:04.066638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:cc943e3c332c3c0199d66891ddd966d2c957d6c081655536d50ecd08ffc223a0

Observation 97b9fc87-e26e-42bf-a1e7-7203aded55d7 · outbound

This paper cites Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining , pages=

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.994475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:c1ac2654043480e0427d0c69751e1619361dd2f8c80a721cf47bdea0c08a3a51

Observation ac196b82-6fee-4a5b-baa7-4644ca29d395 · outbound

This paper cites author=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion author=

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.981778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:90038b906a24b728ab942b66b6903ce28667bd9a5f6df5cd1256180c028f5ca3

Observation 1b68aa63-3db4-4074-9f89-2f77e6f445e9 · outbound

This paper cites Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.815424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:d6e649e98f44a5506d986200d17416678a6cd0ea7bcad11835b688d44e418cf8

Observation 81e5c75c-e810-4594-8765-cb6a89ac757f · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.811094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:7a95c70c71be0510a4b2d257f024345f107ed9ddf00e6616ffa7dff693d95ecd

Observation 9c89b314-18b4-496b-bb6f-c525b379f097 · outbound

This paper cites author=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion author=

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.977940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:ec4e8af4c560c55d6aeb5ee56766ee52476df4c029051ac3733b1262bfb01da2

Observation 77ee40ca-ad86-4379-9f8e-669e7d59c15f · outbound

This paper cites Digital Communications and Networks , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Digital Communications and Networks , volume=

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.826428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:a3c25ee07b3e0c41fbff61f8f0b9beb94e3ef8c1bde8529f225b6161a608be18

Observation b87b0a7c-dd5b-4237-ac80-4d357b813d30 · outbound

This paper cites Proceedings of the 33rd International Joint Conference on Artificial Intelligence , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the 33rd International Joint Conference on Artificial Intelligence , pages=

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.964373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:c7f38e00ef7a784a06e34470a76c9e45876a4d98f6bee7c984e40b9cc17a9c94

Observation 76555544-f66d-493b-ab6a-3a4c6269fac5 · outbound

This paper cites Knowledge-Based Systems , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Knowledge-Based Systems , volume=

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.968480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:0c7800e29fb1f06f2f7dcc304828ebbf39b1c2c9d897a164c7e47c8d676bd756

Observation dea2cc7b-25fd-4964-b61c-c1f5d272b9ea · outbound

This paper cites Proceedings of the 29th ACM International Conference on Information & Knowledge Management , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the 29th ACM International Conference on Information & Knowledge Management , pages=

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.985826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:57a1838ecbd94c84d3571ed36ae2e2507ae6b000ebbe65f591dbb24d3323f40d

Observation 28f1e2ac-f6b4-4676-b610-4147d50a2c29 · outbound

This paper cites author=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion author=

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:04.003106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:337b32282184688d16e2098e9e65d8c99d74d5518edb81f22c1b2331f81373e8

Observation cc5bee20-362a-48ad-b330-a953da3a3dd1 · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion IEEE Transactions on Neural Networks and Learning Systems , volume=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.944019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:fbbf99a84d96416790ec02c091346fb4769f1e6a3253da11002a63b469d471b2

Observation 9f706322-b8f3-4c61-b01b-514f46ebf894 · outbound

This paper cites 2023 IEEE International Conference on Data Mining (ICDM) , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion 2023 IEEE International Conference on Data Mining (ICDM) , pages=

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.956031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:f3af457c49d3c412a1e9b6bdeaca0ecc4d1ddfb367fcd42e248f8d64d54dff1f

Observation f30335a8-e8b4-4620-be4c-c5d62d185db0 · outbound

This paper cites Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.935346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:accf433a8a6ab571a720f45b8d85c9f6138280c643455d8fd3df3434d2d7d74f

Observation 2de44c1a-6d7a-4ec8-9b66-34db73cf4f2f · outbound

This paper cites Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security , pages=

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.924953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:2dff1d2978655f0d350c516cbd4045d17206bc4638014aa129c3b488eca07539

Observation ab1dcab1-8f5e-48e3-8dc2-eddfd3fc9c47 · outbound

This paper cites Proceedings of the Sixteenth ACM International Conference on web search and data mining , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the Sixteenth ACM International Conference on web search and data mining , pages=

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:04.007618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:d9a820448fdaccb285b4a97c99a4889681ac439d6d6c185a625404d1b0a853e0

Observation dba8695f-d12f-46d0-8466-41cf948a3b7f · outbound

This paper cites Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering , pages=

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.929226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:e7e66fe80fdd0e3aa720f1ebf1d306b097b3ea51bdf7ef893fc3279eac9e8a2a

Observation bffc4ec5-5d4d-488d-80cb-15f36bf8755b · outbound

This paper cites Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.960459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:2ed6a26aff027881aa598f08d4fcfe72a7391e620be557c79b5975bdaec668b7

Observation 1d38b918-7bd8-4048-8fc4-77faed1c31aa · outbound

This paper cites Proceedings of the 31st ACM International Conference on Information & Knowledge Management , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the 31st ACM International Conference on Information & Knowledge Management , pages=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:04.012552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:0f1449cc9c2eba6098879d41e600653686076b9190efc0be62a1fb443597025c

Observation ef2b3607-7573-496d-9fd1-4d0ecf503f3d · outbound

This paper cites Joint European Conference on Machine Learning and Knowledge Discovery in Databases , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Joint European Conference on Machine Learning and Knowledge Discovery in Databases , pages=

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.896964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:5b9731016df21b30526cdc89b895ed6b0e2c390aa045d26a12f5df675a25eadf

Observation ac9a5374-9687-4f90-87b0-966b421a5e9a · outbound

This paper cites Knowledge-Based Systems , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Knowledge-Based Systems , volume=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.990292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:5e88b46a90323d0da41146a32273bafa9921b10b78d4b83da4d9f9e0050026ad

Observation f7f40fa8-feaa-4c07-80fa-467aa9cc9501 · outbound

This paper cites Neural Networks , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Neural Networks , pages=

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:04.079272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:adbf299a5fbf79c004706229eaec9e9e0b994967370b856171d5b5aa333bdcc9

Observation d464c115-0ea8-4ee5-a305-751e7041b29f · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion IEEE Transactions on Knowledge and Data Engineering , volume=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.843010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:020114435332e6bc78e6cc1cee7329dee47e7abcca7a5052dffdfa0972ecc32a

Observation cc21ec2f-6620-4f17-9c1f-db2cc9350137 · outbound

This paper cites Advances in Knowledge Discovery and Data Mining , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Advances in Knowledge Discovery and Data Mining , pages=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.857775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:9b2fd3a3b073aef5b2bb8eed934c483dfac6aa2ab0be92fce89cdf7c786ba632

Observation 2803db84-4135-4239-8c4c-a3e3f5d48655 · outbound

This paper cites Proceedings of the 31st ACM International Conference on Information & Knowledge Management , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the 31st ACM International Conference on Information & Knowledge Management , pages=

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.854219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:229bc341e8bcfb1107ec410b71d75ac9893d4de6d3d9c0316c357fd2e0a224c5

Observation 313d3a32-48fe-4f0f-a463-5c16eda9c7f1 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion IEEE Transactions on Knowledge and Data Engineering , volume=

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.829909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:9779194054595db9a0aa877f2ef40b891530ddb5e42a0833462c32f2c2df41a6

Observation 0f52424f-3349-46c5-8719-0a9120ff4b48 · outbound

This paper cites Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:04.051112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:4b139c87560bd4227ad2906bf2269c1f7bc2999fc9da008d96bd1c9432d82754

Observation 51639569-4097-47c0-95bb-79a0b3ef8390 · outbound

This paper cites Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:04.055914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:84068226f0d5deffe7c6e4d0f605e1b046997ad5baabdf71ad2f2ca7c5e2a903

Observation 193d1327-c1aa-420a-99b2-af31df158fe5 · outbound

This paper cites ACM Transactions on Information Systems , year=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion ACM Transactions on Information Systems , year=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.850701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:cea2c3da21446cb1d33dcdb9665f0c2d15d89a6279fd1f872032377614190402

Observation 0f2d32be-34e3-4f1c-ba58-fa369dc24ab6 · outbound

This paper cites 2019 , eprint=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion 2019 , eprint=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.822949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:099a8c72090976a97fefae1bfec7e40eba79af62cc40e808c6ea183bbc559018

Observation 22d41eb4-f524-40c1-8ae4-a7a713f21e5d · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages=

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.833156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:51de110aa4e1b0429deae1c44492ea38c8315e78214bb9589003b67efd8a5eff

Observation f2a80828-8e69-430d-bedd-71ae00ff00c0 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , year=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion IEEE Transactions on Knowledge and Data Engineering , year=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.818938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:488c444f5bae40b4f1b1daed7462522b0eb007610cbc9af7d7dce64dcabc0f5e

Observation 7df3d6d9-cb41-4dcd-b032-13dcd28ae047 · outbound

This paper cites ACM Transactions on Information Systems , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion ACM Transactions on Information Systems , volume=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.836261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:e00560d3976b6d4d1023cc5c8a3c53881cf80bdce3897f071c1f789a7e8db2cb

Observation 57ca4c8a-df36-4b2d-945e-1fb07abe86e2 · outbound

This paper cites ACM Transactions on Information Systems , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion ACM Transactions on Information Systems , volume=

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.846745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:c5a46da90d9791123b23bb1c25afcaf7e75ac55cbc291e35e1511b0b3be56585

Observation 279d4fdd-220d-421d-9d13-f648a1300729 · outbound

This paper cites ACM Transactions on Information Systems , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion ACM Transactions on Information Systems , volume=

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:04.071266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:454e922f450e8963b794e413256f9ab279267afd0856bdaa649ad1bde4045522

Observation 565bfabc-a85b-4c1b-bcb9-ee0e13b1112b · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion IEEE Transactions on Knowledge and Data Engineering , volume=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:04.074744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:45e1c9813cf069a950f2e41c7123300f54b99171ea5ff1eb6170bcb88a1a58e7

Observation 339063eb-561e-4b28-a8a0-a6b3465e3aa8 · outbound

This paper cites A practical guide, 1st ed., Cham: Springer International Publishing , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion A practical guide, 1st ed., Cham: Springer International Publishing , volume=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:04.062005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:83352dbe2974348fddb69f367e5461fc3eab1a6e9e9ecc23c6f58db9bbd58cd9

Observation 3e256d70-ce00-4fe3-90e3-7be81219a8e7 · outbound

This paper cites Proceedings of the ACM Web Conference 2022 , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the ACM Web Conference 2022 , pages=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:04.020309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:9ae3d4e680e9573f5ca738422909fc4cb254a46218b4ed04d934c2fcff7bcaf7

Observation 9ad890ae-9e68-4ad8-a45e-eb3cb7007a12 · outbound

This paper cites 2014 , howpublished =.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion 2014 , howpublished =

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.999264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:bf9c4175c62e165bfd380f2e656aed1ad58dc4038beff63e4a6d4ef4d03735f6

Observation 5bf334ba-3189-4a0e-a45c-819e482104d5 · outbound

This paper cites 2015 , howpublished =.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion 2015 , howpublished =

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.939799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:df98509af58f3ac0a8e34fc2b62a712500c60fbde88deadf5597abfce39ddb5b

Observation ccbf735b-5572-47bd-8bc9-9e1738beec5d · outbound

This paper cites Information Processing & Management , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Information Processing & Management , volume=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.949835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:c19c1e21e21c68acbde99266077a163a2575f8fd7a31095523292d59d87ebf74

Observation d63f15c3-e650-4ef8-9700-89f12e2b7177 · outbound

This paper cites Information Processing & Management , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Information Processing & Management , volume=

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:04.040260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:aaf71157716b2c75bd5d4e963946bbb67d6e03aba5d8e8500961121395194daa

Observation 2ebe943b-2361-4c07-8431-15a3d4c38fb1 · outbound

This paper cites Information Processing & Management , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Information Processing & Management , volume=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.973799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:16c72dd2823e6b3ac716c17d0634216b7ba8ea2ad029a08905123a62b500332d

Observation 0590d6f9-e4f1-49c6-be4b-3879ccb2db11 · outbound

This paper cites Information Processing & Management , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Information Processing & Management , volume=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.890274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:86f167cb077a8e19eb8dbd884e3db0a42a01fc56a689c5706d4553394764aebb

Observation 27c38427-8bd0-4a0f-86bc-42fdf963057a · outbound

This paper cites Proceedings of the 2024 SIAM International Conference on Data Mining (SDM) , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the 2024 SIAM International Conference on Data Mining (SDM) , pages=

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.893569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:27ac5fd83fb3e462be4a41b46a8653fc5afa80540c5a210d721e3d076ad59d1f

Observation b4a35797-de94-4cf3-a624-55c3be93fee4 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion IEEE Transactions on Knowledge and Data Engineering , volume=

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.919784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:783b9ba0f62ec232df5591d37814d44de59001d9550885d0149c811a91cc5a29

Observation 7a7e0b77-229b-41ee-91b1-0604fc42d7e8 · outbound

This paper cites ACM Transactions on the Web , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion ACM Transactions on the Web , volume=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.839475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:dc2d50b063026d703799fe1acbe9b9c6867bd293dcf313064e5a5cc8825a7f50

Observation ee090863-2820-400e-9ccd-a185c13c0b3a · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems , year=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion IEEE Transactions on Neural Networks and Learning Systems , year=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.876545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:7bfad41df436454c76ce49b83b8b2d43a7ab96b6353131e5277dd3b0926734a8

Observation 6532fc1c-dc75-413d-aaf2-7b58105aca07 · outbound

This paper cites ACM Transactions on Information Systems , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion ACM Transactions on Information Systems , volume=

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.879820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:380c4c4f2df44ee5c7173a3626fc7b284c801586aeb097d537d60137b892cf7d

Observation f1c75580-2694-40ca-9ab4-dc134635971d · outbound

This paper cites Proceedings of the 32nd ACM international conference on information and knowledge management , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the 32nd ACM international conference on information and knowledge management , pages=

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.887069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:c581b681da2af23c93d180d9c4d6907e80231d67a85fb621ab8e7f754e9f7fac

Observation af8ae209-c3ca-4a0c-8577-791160256850 · outbound

This paper cites an unresolved cited work.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-05-22T04:26:03.868667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:564685d394a7ace196baff22640860d2de2259a506811f183d71487bc9b78476

Observation 426f1c9c-3233-49c2-8370-6ff07e445c26 · outbound

This paper cites ACM Transactions on Information Systems , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion ACM Transactions on Information Systems , volume=

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.864721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:718751c314573971b4165247b7a8b40fd279ad95f64e15f535415b7ef0433d21

Observation 1b5efd42-2fed-465f-bd82-66091258b718 · outbound

This paper cites 2018 IEEE international conference on data mining (ICDM) , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion 2018 IEEE international conference on data mining (ICDM) , pages=

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.861537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:a071f82f9c898f27e9dfaa5a0718a6c637c7b88d2c18de4c4e01eecb67b5bc21

Observation c3ea4fd4-aef3-4060-bd38-588b7609c847 · outbound

This paper cites author=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion author=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.873124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:8cc89f92f56c9e1deecacc477e8fa4ab1f24a39bdf09c79ba04adee322f8f789

Observation 9091c8ba-560c-482e-998a-d6ebd9970283 · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems , volume=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion IEEE Transactions on Neural Networks and Learning Systems , volume=

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T04:26:03.883588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:7253696d6b2dffb737bb701626ba6b8a32dfd8e0580055e7b70489f81f2f7597

Observation c4b98d19-5957-43a4-89b5-81776d026fa8 · outbound

This paper cites Proceedings of the ACM Web Conference 2024 , pages=.

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion Proceedings of the ACM Web Conference 2024 , pages=

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-10T04:35:16.135813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:35:05.032278Z digest=sha256:f91ccd740c2e74f62dc5e968de8c1b194a4db1fe7ae1d4eb249d5eec2c681194

Pith citing papers

No inbound Pith citation observations are available.