Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing | Paper Citation Record

Observation ddc8c86d-a12c-406f-bff3-55996d0b4b37 · outbound

This paper cites Recommender systems.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Recommender systems

Reference 1

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

Observation b8064c27-64ff-4f62-88cf-c00dd470fc78 · outbound

This paper cites Recommender systems.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Recommender systems

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.498748Z

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.

Observation 8212fc13-f625-4b61-b831-c04e4f3ea0fe · outbound

This paper cites A counterfactual framework for learning and evaluating explanations for recommender systems.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing A counterfactual framework for learning and evaluating explanations for recommender systems

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.482625Z

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

Observation 5101efd7-62fd-4c68-9b4f-caf4dd6f030a · outbound

This paper cites Dual policy learning for aggre- gation optimization in graph neural network-based recommender systems.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Dual policy learning for aggre- gation optimization in graph neural network-based recommender systems

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.466287Z

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

Observation fd8a20ba-0d8d-48b0-93b2-3c58b0f9aba5 · outbound

This paper cites A social-semantic recommender system for advertisements.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing A social-semantic recommender system for advertisements

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.452217Z

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

Observation b15d2797-1094-40f4-9f63-a74142f4651b · outbound

This paper cites A survey of e-commerce recommender systems.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing A survey of e-commerce recommender systems

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.437461Z

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.

Observation 0bb68ace-10e5-4d73-8fe1-a3e59a1dd94c · outbound

This paper cites California consumer privacy act.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing California consumer privacy act

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.422745Z

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.

Observation bc0bafe8-1971-4504-a740-b2f8ddb7ae4d · outbound

This paper cites The EU general data protection regulation (GDPR) A Practical Guide.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing The EU general data protection regulation (GDPR) A Practical Guide

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.408059Z

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.

Observation 0426f0c6-84a5-4cba-911f-7e7e77d31f16 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Communication-efficient learning of deep networks from decentralized data

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.393120Z

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

Observation 97fa1310-5e6c-4d8d-b337-ed827078c790 · outbound

This paper cites Federated learning for generalization, robustness, fairness: A survey and benchmark.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Federated learning for generalization, robustness, fairness: A survey and benchmark

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.378667Z

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.

Observation 31b198b1-e5d0-4340-b30a-5ea31c26637d · outbound

This paper cites Fedmut: Generalized federated learning via stochastic mu- tation.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Fedmut: Generalized federated learning via stochastic mu- tation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.363775Z

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.

Observation 63f4519d-9e90-4490-ab22-adcba59cf38c · outbound

This paper cites Cross-silo prototypical calibration for federated learning with non-iid data.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Cross-silo prototypical calibration for federated learning with non-iid data

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.347288Z

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.

Observation 714a1bcc-6b2d-4dc2-9981-0fdf49e1de33 · outbound

This paper cites Is aggregation the only choice? federated learning via layer-wise model recombination.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Is aggregation the only choice? federated learning via layer-wise model recombination

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.323928Z

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.

Observation 991c0b40-654e-4059-b82c-f10f2731d39e · outbound

This paper cites Multisfl: Towards accurate split federated learning via multi-model aggregation and knowledge replay.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Multisfl: Towards accurate split federated learning via multi-model aggregation and knowledge replay

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.304193Z

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.

Observation ecdb52ae-3213-4df3-9f50-a050c4efbc57 · outbound

This paper cites A swiss army knife for heterogeneous federated learning: Flexible coupling via trace norm.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing A swiss army knife for heterogeneous federated learning: Flexible coupling via trace norm

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.284152Z

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.

Observation 595e0a7e-1bd3-4cf2-b5de-b5269e2fe6d1 · outbound

This paper cites Joint client-and-sample selection for federated learning via bi-level optimization.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Joint client-and-sample selection for federated learning via bi-level optimization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.269079Z

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.

Observation 2e4053f9-6e7c-42cf-add5-6107b85b3225 · outbound

This paper cites An improved reconstruction based multi-attribute contrastive learning for digital twin-enabled industrial system.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing An improved reconstruction based multi-attribute contrastive learning for digital twin-enabled industrial system

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.251799Z

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.

Observation 243712c7-c4e8-4901-99c0-72b048dd1709 · outbound

This paper cites Fedfast: Going beyond average for faster training of federated recommender systems.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Fedfast: Going beyond average for faster training of federated recommender systems

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.238497Z

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.

Observation 38bd0da5-8834-48a9-bc14-613e5e9d0898 · outbound

This paper cites Fast-adapting and privacy-preserving federated recommender system.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Fast-adapting and privacy-preserving federated recommender system

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.223938Z

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.

Observation 50944b7f-4d47-4bb0-b0f5-0e43f58c8fcd · outbound

This paper cites Federated recommendation systems.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Federated recommendation systems

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.206703Z

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.

Observation 6bf95ca6-74a9-465a-81a9-18781d0bd0d0 · outbound

This paper cites Poi recommendation with federated learning and privacy preserving in cross domain recommendation.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Poi recommendation with federated learning and privacy preserving in cross domain recommendation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.149380Z

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.

Observation 56ae2577-9aa8-4097-a3fb-9c159408ca45 · outbound

This paper cites Gitfl: Uncertainty-aware real-time asynchronous federated learning using version control.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Gitfl: Uncertainty-aware real-time asynchronous federated learning using version control

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.003546Z

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.

Observation 6db879f0-344c-4cde-ac2f-284c3551301f · outbound

This paper cites Optimizing training efficiency and cost of hierarchical federated learning in heterogeneous mobile- edge cloud computing.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Optimizing training efficiency and cost of hierarchical federated learning in heterogeneous mobile- edge cloud computing

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:05.831394Z

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.

Observation 0f211131-e4c7-471b-aabc-e8e4348d1e8f · outbound

This paper cites Dafkd: Domain-aware federated knowledge distillation.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Dafkd: Domain-aware federated knowledge distillation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:05.604140Z

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.

Observation d43ae0fa-79e5-49c0-b745-9a5fa3359fa9 · outbound

This paper cites Flexfl: Heterogeneous federated learning via apoz-guided flexible pruning in uncertain scenarios.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Flexfl: Heterogeneous federated learning via apoz-guided flexible pruning in uncertain scenarios

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:05.275744Z

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.

Observation 76d8be52-6d2e-4dbb-8a19-a808bd5f2eeb · outbound

This paper cites NebulaFL: Effective Asynchronous Federated Learning for JointCloud Computing.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing NebulaFL: Effective Asynchronous Federated Learning for JointCloud Computing

Reference 26

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

Observation 1c9987a6-55ea-40d5-b7e1-2b8d33b34443 · outbound

This paper cites Secure federated matrix factor- ization.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Secure federated matrix factor- ization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:05.099362Z

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.

Observation 151830f6-383f-443d-821d-23fa78ed6138 · outbound

This paper cites JointRec: A deep-learning-based joint cloud video recommendation framework for mobile iot.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing JointRec: A deep-learning-based joint cloud video recommendation framework for mobile iot

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:04.900373Z

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.

Observation 706e369a-52cf-4ce8-b67b-c8abd9c3e600 · outbound

This paper cites Le, and Kok-Seng Wong.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Le, and Kok-Seng Wong

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:04.705367Z

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.

Observation 8075d655-6c44-4ec1-b379-8b1ce3f087f5 · outbound

This paper cites A payload optimization method for federated recommender systems.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing A payload optimization method for federated recommender systems

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:04.477707Z

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.

Observation c4910d36-d5ac-4b24-99b5-1d15dca423e0 · outbound

This paper cites An efficient k-means clustering algorithm: Anal- ysis and implementation.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing An efficient k-means clustering algorithm: Anal- ysis and implementation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:04.317535Z

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.

Observation f5a2e09b-c275-432b-83b8-1625d85c5691 · outbound

This paper cites Fedcross: Towards accurate federated learning via multi-model cross-aggregation.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Fedcross: Towards accurate federated learning via multi-model cross-aggregation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:04.026639Z

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.

Observation fda384c0-a435-4393-96f7-ef65176d9c7a · outbound

This paper cites Cabafl: Asynchronous federated learning via hierarchi- cal cache and feature balance.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Cabafl: Asynchronous federated learning via hierarchi- cal cache and feature balance

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:03.670220Z

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.

Observation 9b05cab5-9080-4f80-9d04-bbc5017ee3fc · outbound

This paper cites Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System

Reference 34

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Observation a160c745-2d9d-4df7-aeeb-8a976d6168be · outbound

This paper cites Fedrec: Federated recom- mendation with explicit feedback.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Fedrec: Federated recom- mendation with explicit feedback

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:03.348597Z

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.

Observation 7bb41144-6ca0-4e4e-b0c0-71caa3449ad1 · outbound

This paper cites Meta matrix factorization for federated rating predictions.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Meta matrix factorization for federated rating predictions

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:02.962942Z

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.

Observation f32830f1-b226-427f-801a-c5f0cff7e6f3 · outbound

This paper cites Federated neural collaborative filter- ing.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Federated neural collaborative filter- ing

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:02.618202Z

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.

Observation 343c2837-6c7e-4207-bee8-6163ee1ea860 · outbound

This paper cites Neural Collaborative Filtering.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Neural Collaborative Filtering

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T19:31:00.004645Z

Source-reported events for the cited work

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Observation 2348f89f-d835-4798-bafc-c1590932ff1e · outbound

This paper cites A federated graph neural network framework for privacy-preserving per- sonalization.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing A federated graph neural network framework for privacy-preserving per- sonalization

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:02.273406Z

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.

Observation 873c4ec3-4db8-40b4-8e05-ed866391fdfa · outbound

This paper cites Maxwell Harper and Joseph A.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Maxwell Harper and Joseph A

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:01.911895Z

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.

Observation 8f8b249d-1823-4c2a-a16c-fe1828098722 · outbound

This paper cites Second workshop on in- formation heterogeneity and fusion in recommender systems (hetrec2011).

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Second workshop on in- formation heterogeneity and fusion in recommender systems (hetrec2011)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:01.510683Z

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.

Observation 1b101095-aae7-42ce-a370-820f167cb339 · outbound

This paper cites Adaptivefl: Adaptive heterogeneous federated learning for resource-constrained aiot systems.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Adaptivefl: Adaptive heterogeneous federated learning for resource-constrained aiot systems

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:01.310587Z

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.

Observation a576a394-df5b-44f9-a20c-4414cb1f89d7 · outbound

This paper cites Federated learning: Challenges, methods, and future directions.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Federated learning: Challenges, methods, and future directions

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T19:31:00.351924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5228aa6-df99-4737-8455-f857cd72ddcf · outbound

This paper cites Lightfr: Lightweight federated recommendation with privacy-preserving matrix factor- ization.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Lightfr: Lightweight federated recommendation with privacy-preserving matrix factor- ization

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:01.161708Z

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.

Observation edb99a40-09f4-4973-afa5-ada6ed016a13 · outbound

This paper cites Comm” denotes communication and “Comp.

Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Comm” denotes communication and “Comp

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:00.940002Z

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.

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Pith citing papers