Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T05:13:24.290895Z
Paper Citation Record · LEDGER
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning
As of 20 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2412.00609.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
18 of 18 outbound references displayed
- verified exact5
- verified fuzzy9
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c78c29f8-fde4-48c4-a612-3dbbb1a9f03f · outbound
This paper cites When the timeline meets the pipeline: A survey on automated cyberbullying detection,.
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning When the timeline meets the pipeline: A survey on automated cyberbullying detection,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T05:13:25.592249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5308a49d-b788-48c1-a118-2301b95b7f94 · outbound
This paper cites Automated Hate Speech Detection and the Problem of Offensive Language.
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning Automated Hate Speech Detection and the Problem of Offensive Language
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:13:23.747424Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d15ac518-62f9-4338-b0fa-1f4dd6c9964f · outbound
This paper cites Sosnet: A graph convolutional network approach to fine-grained cyberbullying detection,.
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning Sosnet: A graph convolutional network approach to fine-grained cyberbullying detection,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T05:13:25.574458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c0e68c63-93d9-44dd-ac83-ee6526cb2edc · outbound
This paper cites ID-XCB: Data-independent Debiasing for Fair and Accurate Transformer-based Cyberbullying Detection.
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning ID-XCB: Data-independent Debiasing for Fair and Accurate Transformer-based Cyberbullying Detection
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T05:13:24.913276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 924bb364-9719-4494-a599-e44269f4b5da · outbound
This paper cites Accurate cyberbullying detection and prevention on social media,.
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning Accurate cyberbullying detection and prevention on social media,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T05:13:25.546585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation eb04060a-ddb6-46db-aabe-9feb75850fd8 · outbound
This paper cites Investigating the role of swear words in abusive language detection tasks,.
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning Investigating the role of swear words in abusive language detection tasks,
Reference 6
- Resolution
- verified exact
- doi, observed 2026-08-12T05:13:24.449003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 496bc17b-309e-43be-9144-ef6213b9ff31 · outbound
This paper cites Using machine learning to detect cyberbullying,.
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning Using machine learning to detect cyberbullying,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T05:13:25.396268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation db3fed88-f0a7-4181-b5a3-5f4360bc9271 · outbound
This paper cites The development of a serious game on cyberbullying: A concept test,.
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning The development of a serious game on cyberbullying: A concept test,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T05:13:25.338015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e9cfdf8d-a1cf-43c2-8231-9963f5608c9a · outbound
This paper cites Mean Birds: Detecting Aggression and Bullying on Twitter.
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning Mean Birds: Detecting Aggression and Bullying on Twitter
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T05:13:24.878253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c0c916c7-fbd1-45ea-a332-bb6f6b4fcad0 · outbound
This paper cites A large labeled corpus for online harassment research,.
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning A large labeled corpus for online harassment research,
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:13:24.143707Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bf0b461-2309-43e4-8f30-bb220248c39e · outbound
This paper cites Identification of hate speech in social media,.
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning Identification of hate speech in social media,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T05:13:25.320045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6fdc7c4a-0f1a-408f-897d-bbb4aab7ca96 · outbound
This paper cites Hateful symbols or hateful people? predictive features for hate speech detection on Twitter,.
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning Hateful symbols or hateful people? predictive features for hate speech detection on Twitter,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T05:13:25.266684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9ba47a21-1314-4535-a695-50a38f5fa638 · outbound
This paper cites Analysing Cyberbullying using Natural Language Processing by Understanding Jargon in Social Media.
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning Analysing Cyberbullying using Natural Language Processing by Understanding Jargon in Social Media
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T05:13:24.579913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b82245ea-34ac-40b4-8480-3012f2137bd1 · outbound
This paper cites Effective hate-speech detection in twitter data using recurrent neural networks,.
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning Effective hate-speech detection in twitter data using recurrent neural networks,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T05:13:25.109414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b9a6d56e-f1da-4a38-af84-c42b2e614bf7 · outbound
This paper cites an unresolved cited work.
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T05:13:24.950575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ef6832b8-7334-4654-bb75-50ba5040a9bd · outbound
This paper cites What the F-measure doesn't measure: Features, Flaws, Fallacies and Fixes.
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning What the F-measure doesn't measure: Features, Flaws, Fallacies and Fixes
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:13:24.199605Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93ac3191-3cda-427a-a1b1-b6db4a0c3724 · outbound
This paper cites Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls.
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T05:13:24.491653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 59143d5b-13a6-4c64-8cf5-bbb11f940b23 · outbound
This paper cites Available: https://www.sciencedirect.com/science/article/pii/S1877050921002507.
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning Available: https://www.sciencedirect.com/science/article/pii/S1877050921002507
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T05:13:25.498913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.