Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T20:35:52.598345Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2604.13899.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T20:35:52.598345Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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
14 of 14 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 55119782-fbb5-4cab-b60e-9015b9622c7d · outbound
Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection InThe 7th Workshop on Online Abuse and Harms (WOAH), pages 231–242, Toronto, Canada
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c48184ac-2aa5-4eaa-a2b4-3da0037dc105 · outbound
Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection A Dataset for the Detection of Dehumanizing Language
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8d28e4c-aec6-4ab8-b731-2dfdf5b0ffd7 · outbound
Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection InProceedings of The 18th Linguistic Annotation Workshop (LAW-XVIII), pages 77–86
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b334861a-a304-4f52-9aaa-a64585f64e68 · outbound
Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection Paula Fortuna and Sérgio Nunes
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfc0df83-aab3-43b8-861d-d3db85060f38 · outbound
Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9db61bbe-3d49-42f1-abda-d588f9268a15 · outbound
Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection InMachine Learning and Knowledge Discovery in Databases
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce016c17-7324-4138-b982-c9b6f3d5b5f1 · outbound
Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection Aida Kostikova, Dominik Beese, Benjamin Paassen, Ole Pütz, Gregor Wiedemann, and Steffen Eger
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30f5c490-353b-4833-91fa-027b8c27a75e · outbound
Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection Sarah Masud, Sahajpreet Singh, Viktor Hangya, Alexan- der Fraser, and Tanmoy Chakraborty
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6cd86732-cf4b-4ac6-872b-c79084c57c03 · outbound
Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection Automated Annotation with Generative AI Requires Validation
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 081b76f7-ac3b-4e65-bd96-fc7b37a14efa · outbound
Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection InProceedings of the Eigh- teenth International AAAI Conference on Web and Social Media, ICWSM 2024, Buffalo, New York, USA, June 3-6, 2024, pages 2025–2039
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e164294d-9c1c-4516-ae3d-6e3468c3de72 · outbound
Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a7627a6-aaba-449b-abf0-de7b835479c4 · outbound
Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection The Llama 3 Herd of Models
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53cd01dd-db5a-4c0f-b45b-02fc47ad1416 · outbound
Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection Is this comment anti-immigrant:YES/NO?
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd98931c-0b39-436f-9fdc-42cb70848e7c · outbound
Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection wann kommen die Grenzkontrollen?
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.