Paper Citation Record · LEDGER

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption

As of 15 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2509.03024.

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

pith.paper-citation-record.v1
2509.03024 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:16:58.042596Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

41 of 41 outbound references displayed

verified exact2
verified fuzzy36
unresolved1
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3efd54b5-53c4-4625-b7ef-b40b5c5c5fcb · outbound

This paper cites A survey of collaborative filtering techniques.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption A survey of collaborative filtering techniques

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.461755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 147d2570-bfeb-4908-a712-9b943ed2f1da · outbound

This paper cites When being weak is brave: Privacy issues in recommender systems.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption When being weak is brave: Privacy issues in recommender systems

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-05T11:16:58.175804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f7fbd62e-8e8d-49ca-9ff0-cce3ffcb83ff · outbound

This paper cites Robust de-anonymization of large sparse datasets.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Robust de-anonymization of large sparse datasets

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.454913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3ea5ceec-4dc4-4708-aee2-9cecf0c9a9cb · outbound

This paper cites BlurMe: Inferring and obfuscating user gender based on ratings.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption BlurMe: Inferring and obfuscating user gender based on ratings

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.447916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2a2d73cf-9f31-4025-baad-274988414f0e · outbound

This paper cites Collaborative filtering with privacy.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Collaborative filtering with privacy

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.440485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a1cd7ba3-3bf3-40ba-9a8d-9a81969a95cf · outbound

This paper cites Differentially private recommender systems: Building privacy into the netflix prize contenders.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Differentially private recommender systems: Building privacy into the netflix prize contenders

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.432987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e16a40e8-a332-4652-9489-b21252bee61c · outbound

This paper cites Privacy-preserving matrix factorization.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Privacy-preserving matrix factorization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.425015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 545954ca-a226-4ac6-8fef-b3ac55e7f280 · outbound

This paper cites k-anonymity: A model for protecting privacy.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption k-anonymity: A model for protecting privacy

Reference 9

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T11:16:58.410353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 31c16ce1-e560-40ae-ac5a-e043a1f5b468 · outbound

This paper cites Privacy-preserving collaborative filtering using fully homomorphic encryption.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Privacy-preserving collaborative filtering using fully homomorphic encryption

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.402605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9def3eb7-f07b-4101-9cdf-9b798aba12b2 · outbound

This paper cites Efficient privacy-preserving matrix factorization via fully homomorphic encryption.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Efficient privacy-preserving matrix factorization via fully homomorphic encryption

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.395398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2abbe1c6-37f6-4b55-8324-f86768d721f9 · outbound

This paper cites TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T11:16:57.970262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdaf37a6-91c7-49d8-b82e-c3a768db4f2e · outbound

This paper cites Homomorphic encryption for arithmetic of approximate numbers.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Homomorphic encryption for arithmetic of approximate numbers

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.388187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 03172720-bd60-401c-a952-85c056fe929f · outbound

This paper cites Available: https://files.grouplens.org/datasets/movielens/ml-100k.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Available: https://files.grouplens.org/datasets/movielens/ml-100k

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.380670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0f9ea6b5-e995-49df-886f-87b96437a608 · outbound

This paper cites Large-scale matrix factorization with distributed stochastic gradient descent.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Large-scale matrix factorization with distributed stochastic gradient descent

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.373438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0a9dde4b-084f-408e-b6f9-29cdcdf47538 · outbound

This paper cites Fully homomorphic encryption using ideal lattices.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Fully homomorphic encryption using ideal lattices

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.365391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dbff997b-8da4-465e-bdf1-d13afc8a6f1e · outbound

This paper cites Encoding-free ElGamal encryption without random oracles.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Encoding-free ElGamal encryption without random oracles

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.357857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f227f820-9f08-4ae1-8c04-12f05832c5fd · outbound

This paper cites Protocols for secure computations.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Protocols for secure computations

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.350636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 300ec4e9-b2ad-4b40-b439-a032ce798695 · outbound

This paper cites Faster secure Two-Party computation using garbled circuits.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Faster secure Two-Party computation using garbled circuits

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.343367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b2ea15c3-d07e-4777-8d74-ef662b9b98cb · outbound

This paper cites Graphsc: Parallel secure computation made easy.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Graphsc: Parallel secure computation made easy

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.336070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d8cf5855-bb84-40d5-9c45-cab3c5ff72a4 · outbound

This paper cites PProx: efficient privacy for recommendation-as-a-service.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption PProx: efficient privacy for recommendation-as-a-service

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.328601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e24aade7-e178-4682-bf0f-2e2753ad83bf · outbound

This paper cites Federated recommendation systems.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Federated recommendation systems

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.321026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 32db6682-71ac-4b68-8ece-55b42af460a0 · outbound

This paper cites Efficient privacy-preserving matrix factorization for recommendation via fully homomorphic encryption.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Efficient privacy-preserving matrix factorization for recommendation via fully homomorphic encryption

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.312998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 885c3af4-4d4c-4e9a-9d9f-10f60ea95ad9 · outbound

This paper cites Fully homomorphic SIMD operations.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Fully homomorphic SIMD operations

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.304765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a16307c1-57b4-4b88-9446-16efa5a2a0fb · outbound

This paper cites Differentially private data release for data mining.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Differentially private data release for data mining

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.297465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 16c5f971-258c-4ee4-a520-1f96e08103d1 · outbound

This paper cites Privacy-preserving personalized recom- mendation: An instance-based approach via differential privacy.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Privacy-preserving personalized recom- mendation: An instance-based approach via differential privacy

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.417669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4f4c9ad0-cadc-46d7-9fcc-57e42c15e877 · outbound

This paper cites A survey on fully ho- momorphic encryption: An engineering perspective.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption A survey on fully ho- momorphic encryption: An engineering perspective

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.290153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 83cb25e0-a932-44f1-bfee-909069629451 · outbound

This paper cites A guide to fully homomorphic encryption.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption A guide to fully homomorphic encryption

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.282602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 33dea7cd-fa44-4fb7-b585-2c1f55d64855 · outbound

This paper cites Survey on fully homomorphic encryption, theory, and applications.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Survey on fully homomorphic encryption, theory, and applications

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.275471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cbfd614e-8465-42df-8c30-4af47693b346 · outbound

This paper cites An Enhanced Latent Factor Recommendation Approach for Sparse Datasets of E-Commerce Platforms.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption An Enhanced Latent Factor Recommendation Approach for Sparse Datasets of E-Commerce Platforms

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.267803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0f07d1a2-3b79-40fb-8497-986ab047bd95 · outbound

This paper cites (Leveled) fully homomorphic encryption without bootstrapping.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption (Leveled) fully homomorphic encryption without bootstrapping

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.260565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 750796c6-3da0-4976-aa86-04f18bdbdfbf · outbound

This paper cites Somewhat practical fully homomorphic encryption.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Somewhat practical fully homomorphic encryption

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.253461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9dfb8278-3827-4006-93f2-4bda47877bc5 · outbound

This paper cites TFHE: fast fully homomorphic encryption over the torus.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption TFHE: fast fully homomorphic encryption over the torus

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.246149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 430e3db0-fbe7-42a4-b25c-2c170e86ee6b · outbound

This paper cites A framework for secure computations with two non-colluding servers and multiple clients, applied to recommendations.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption A framework for secure computations with two non-colluding servers and multiple clients, applied to recommendations

Reference 34

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T11:16:58.239235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6d143120-0d19-48fa-ae06-21f4f02768a2 · outbound

This paper cites Microsoft SEAL (release 4.1).

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Microsoft SEAL (release 4.1)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.231959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 948f02da-bc5e-4ac1-a64a-7145d3a8c1af · outbound

This paper cites The impact of basic matrix factorization refinements on recommendation accuracy.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption The impact of basic matrix factorization refinements on recommendation accuracy

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.223905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f0a6289a-d706-4bb2-92dd-5653c78beb63 · outbound

This paper cites UFC: A Unified Accelerator for Fully Homo- morphic Encryption.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption UFC: A Unified Accelerator for Fully Homo- morphic Encryption

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.216085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 71c11575-7f33-4a5e-8b2a-e2c51c6a2ac2 · outbound

This paper cites FHEmem: A processing in-memory accelerator for fully homomorphic encryption.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption FHEmem: A processing in-memory accelerator for fully homomorphic encryption

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.207751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4151e3e1-80a8-4d06-88b5-4c3af6b31f83 · outbound

This paper cites F1: A fast and programmable accelerator for fully homomorphic encryption.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption F1: A fast and programmable accelerator for fully homomorphic encryption

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.199799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3bcb8fd3-ac83-4238-9f91-899735d6684a · outbound

This paper cites SHARP: A short-word hierarchical accelerator for robust and practical fully homomorphic encryption.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption SHARP: A short-word hierarchical accelerator for robust and practical fully homomorphic encryption

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.192040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e67127bd-4b1c-48bd-8502-e9d5cbf83d0c · outbound

This paper cites HE-LRM: Encrypted Deep Learning Recommendation Models using Fully Homomorphic Encryption.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption HE-LRM: Encrypted Deep Learning Recommendation Models using Fully Homomorphic Encryption

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-05T11:16:58.072958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9a9a3f2e-2c0a-46b6-a525-924b359fabd4 · outbound

This paper cites Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs.

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:16:58.183919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.