Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T23:55:12.152499Z
Paper Citation Record · LEDGER
Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech
As of 21 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2508.04638.
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, observed 2026-05-24T01:13:56.198861Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T01:15:54.366258Z
Reference resolution
13 of 13 outbound references displayed
- verified exact0
- verified fuzzy6
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch5
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation af367d04-4e3d-4b28-85dd-84c5e88447b4 · outbound
This paper cites In Proceed- ings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 5792–5809, Toronto, Canada.
Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech In Proceed- ings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 5792–5809, Toronto, Canada
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:55:12.303306Z
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 68887c3e-2718-43e1-ab08-b464ca256313 · outbound
This paper cites CSEval: Towards Automated, Multi-Dimensional, and Reference-Free Counterspeech Evaluation using Auto-Calibrated LLMs.
Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech CSEval: Towards Automated, Multi-Dimensional, and Reference-Free Counterspeech Evaluation using Auto-Calibrated LLMs
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T23:55:12.234878Z
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 9300c002-c3a5-426c-b0e9-ff9304e26dc0 · outbound
This paper cites In Proceedings of the 2022 Conference on Empiri- cal Methods in Natural Language Processing, pages 10818–10833, Abu Dhabi, United Arab Emirates.
Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech In Proceedings of the 2022 Conference on Empiri- cal Methods in Natural Language Processing, pages 10818–10833, Abu Dhabi, United Arab Emirates
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:55:12.293542Z
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 61e567ee-849c-4417-a9be-95c6a424f391 · outbound
This paper cites Korean Online Hate Speech Dataset for Multilabel Classification: How Can Social Science Improve Dataset on Hate Speech?.
Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech Korean Online Hate Speech Dataset for Multilabel Classification: How Can Social Science Improve Dataset on Hate Speech?
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T23:55:12.221266Z
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 10a3fda0-e143-4f12-a033-d814e84ac15c · outbound
This paper cites Analyzing the hate and counter speech accounts on Twitter.
Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech Analyzing the hate and counter speech accounts on Twitter
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:55:12.139508Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0357108e-589c-4796-a2b7-affd37759038 · outbound
This paper cites Rescuing Counterspeech: A Bridging-Based Approach to Combating Misinformation.
Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech Rescuing Counterspeech: A Bridging-Based Approach to Combating Misinformation
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:55:12.142684Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 356a0926-3e65-40f6-a0b3-828e8b8aabe2 · outbound
This paper cites Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.
Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:55:12.272814Z
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 f1263eb3-a4d0-4f13-954b-b6345fe92e88 · outbound
This paper cites Marcus Tomalin and Stefanie Ullmann, editors.
Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech Marcus Tomalin and Stefanie Ullmann, editors
Reference 2017
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:55:12.283032Z
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 15ce4030-c739-42e6-9c8a-ea8b098d9946 · outbound
This paper cites CODEOFCONDUCT at Multilingual Counterspeech Generation: A Context-Aware Model for Robust Counterspeech Generation in Low-Resource Languages.
Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech CODEOFCONDUCT at Multilingual Counterspeech Generation: A Context-Aware Model for Robust Counterspeech Generation in Low-Resource Languages
Reference 2019
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T23:55:12.248487Z
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 c8273a02-9425-4fca-b53b-6e0e3545e19b · outbound
This paper cites In Pro- ceedings of the Fourth Workshop on Online Abuse and Harms, pages 102–112, Online.
Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech In Pro- ceedings of the Fourth Workshop on Online Abuse and Harms, pages 102–112, Online
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:55:12.312518Z
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 5f2d1f9e-b082-497d-b2f9-693ce80242c6 · outbound
This paper cites Counter Hate Speech in Social Media: A Survey.
Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech Counter Hate Speech in Social Media: A Survey
Reference 2022
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T23:55:12.262236Z
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 151f267e-2e89-4436-8f17-5636bcb24e1a · outbound
This paper cites EPJ Data Science, 12:1.
Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech EPJ Data Science, 12:1
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:55:12.321769Z
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 9f52c7e5-8477-4cba-8984-c5570d50057d · outbound
This paper cites Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization.
Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization
Reference 2024
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T23:55:12.187414Z
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
Observation fcf5ed53-ef34-4b77-ad77-f317a6ce92b0 · inbound
Assessing How Hate, Counterspeech, and Toxicity Affect Hate Group Newcomers cites this paper.
Assessing How Hate, Counterspeech, and Toxicity Affect Hate Group Newcomers Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T01:15:54.369960Z
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.