Paper Citation Record · LEDGER

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems

As of 16 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:1908.06967.

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

pith.paper-citation-record.v1
1908.06967 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:51:38.162040Z

measured 18 of 18 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

18 of 18 outbound references displayed

verified exact0
verified fuzzy18
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 14c0bb19-afae-4e5c-b540-e789bb577a22 · outbound

This paper cites A literature review and classification of recommender systems research ,.

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems A literature review and classification of recommender systems research ,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:38.531348Z

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 2020b4e1-f989-47f2-9938-aa9037c3020f · outbound

This paper cites Classification features for attack detection in collaborative recommender systems,.

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems Classification features for attack detection in collaborative recommender systems,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:38.518051Z

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 f92c76a0-da5b-4f93-a5fe-1967891b3f52 · outbound

This paper cites Collaborative recommendation: A robustness analysis ,.

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems Collaborative recommendation: A robustness analysis ,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:38.503460Z

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 ce476ac2-1969-47a4-947b-e68baa82d047 · outbound

This paper cites Shilling recommender systems for fun and profit,.

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems Shilling recommender systems for fun and profit,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:38.489826Z

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 0beef7b9-4fab-4fcf-b67d-ecb2c08aba71 · outbound

This paper cites Recommender Systems: Attack Types and Strategies ,.

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems Recommender Systems: Attack Types and Strategies ,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:38.476531Z

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 6c00337e-0d07-479a-b006-321d8a3eeb53 · outbound

This paper cites Solving the apparent diversity-accuracy dilemma of recommender systems ,.

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems Solving the apparent diversity-accuracy dilemma of recommender systems ,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:38.463442Z

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 16e8a00c-faee-4756-a320-c54e888354dd · outbound

This paper cites Lies and prop aganda: detecting spam users in collaborative filtering ,.

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems Lies and prop aganda: detecting spam users in collaborative filtering ,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:38.449603Z

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 f84054f6-de74-4c15-bc8d-4db1adbb0c15 · outbound

This paper cites The Student t-Distribution for Any Degrees of Freedom is Infinitely Divisible,.

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems The Student t-Distribution for Any Degrees of Freedom is Infinitely Divisible,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:38.335614Z

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 e711a7ff-a541-4e65-acbb-8dd8b043a90c · outbound

This paper cites Item Anomaly Detection Based on Dynamic Partition for Time Series in Recommender Systems,.

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems Item Anomaly Detection Based on Dynamic Partition for Time Series in Recommender Systems,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:38.322388Z

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 5591daf9-4bb0-4e3f-9043-87966491e634 · outbound

This paper cites Effective diverse and obfuscated attacks on model-based recommender systems,.

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems Effective diverse and obfuscated attacks on model-based recommender systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:38.308906Z

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 1d729490-2ec1-494e-8b80-7a9def370715 · outbound

This paper cites Detecting Profile Injection Attacks in Collaborative Recommender Systems,.

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems Detecting Profile Injection Attacks in Collaborative Recommender Systems,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:38.294849Z

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 b2a51b38-3c85-4c29-a6c4-fe779c67e180 · outbound

This paper cites Unsupervised strategies for shilling detection and robust collaborative filtering,.

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems Unsupervised strategies for shilling detection and robust collaborative filtering,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:38.281059Z

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 180c54c7-47b9-4ba7-8daf-8671fb6647a2 · outbound

This paper cites Defending recommender systems: detection of profile injection attacks ,.

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems Defending recommender systems: detection of profile injection attacks ,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:38.266725Z

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 80caf7d6-3cc3-444d-8df9-10c1158dcbee · outbound

This paper cites Unsupervised Retrieval of Attack Profiles in Collaborative Recommender Systems ,.

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems Unsupervised Retrieval of Attack Profiles in Collaborative Recommender Systems ,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:38.251239Z

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 8ec64d53-22ba-47eb-9597-9186d5affaa0 · outbound

This paper cites Attack detection in time series for recommender systems ,.

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems Attack detection in time series for recommender systems ,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:38.237645Z

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 6ebfb4d3-3e5b-4074-a3b5-f2a964941b27 · outbound

This paper cites Detection of abnormal item based on time intervals for recommender systems,.

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems Detection of abnormal item based on time intervals for recommender systems,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:38.223773Z

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 6d63308a-a99d-4646-a359-a974fa9d6810 · outbound

This paper cites Semi-SAD: applying semi - supervised learning to shilling attack detection,.

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems Semi-SAD: applying semi - supervised learning to shilling attack detection,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:38.209991Z

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 3d0c53ae-2cda-4a73-a4d0-e22f6147ee46 · outbound

This paper cites Discussion on t-Distribution and Its Application,.

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems Discussion on t-Distribution and Its Application,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:38.194951Z

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.

Pith citing papers

No inbound Pith citation observations are available.