Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2111.07997.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:16:25.365510Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T13:54:43.741169Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 26e5f708-6f9f-486a-88d8-cf82bb8e281f · inbound
PaLM 2 Technical Report cites this paper.
PaLM 2 Technical Report Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
Reference 130
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T11:59:27.230979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2a7d4f94-751f-409e-922b-9d04abc5e798 · inbound
Robustness and Confounders in the Demographic Alignment of LLMs with Human Perceptions of Offensiveness cites this paper.
Robustness and Confounders in the Demographic Alignment of LLMs with Human Perceptions of Offensiveness Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:16:25.365510Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 602c5eaf-4359-4f96-8eaa-e3f5f29ae945 · inbound
A Framework for Evaluating LLMs Under Task Indeterminacy cites this paper.
A Framework for Evaluating LLMs Under Task Indeterminacy Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:58:47.615404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85bf883a-d0c3-481f-8ffa-48115b30d1aa · inbound
SubData: Bridging Heterogeneous Datasets to Enable Theory-Driven Evaluation of Political and Demographic Perspectives in LLMs cites this paper.
SubData: Bridging Heterogeneous Datasets to Enable Theory-Driven Evaluation of Political and Demographic Perspectives in LLMs Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:19:33.728842Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6affca1d-c2cc-4b78-977f-c9391620e995 · inbound
Beyond Keywords: Evaluating Large Language Model Classification of Nuanced Ableism cites this paper.
Beyond Keywords: Evaluating Large Language Model Classification of Nuanced Ableism Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:56:04.587174Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eecde97f-674b-4319-b604-ac0b177038a7 · inbound
Data-Driven and Participatory Approaches toward Neuro-Inclusive AI cites this paper.
Data-Driven and Participatory Approaches toward Neuro-Inclusive AI Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:17:29.888238Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53b8762d-378e-4b04-9b68-c0d5d8d975c1 · inbound
SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models cites this paper.
SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T15:52:42.298060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4fec430a-44a4-4eff-a1d1-e4eac0714209 · inbound
From Fallback to Frontline: When Can LLMs be Superior Annotators of Human Perspectives? cites this paper.
From Fallback to Frontline: When Can LLMs be Superior Annotators of Human Perspectives? Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T09:33:42.023077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d712bebc-435f-4e46-9453-77a526bcc317 · inbound
Distinguishing Right from Wrong in Debates: Attribution Analysis of Chinese Harmful Memes cites this paper.
Distinguishing Right from Wrong in Debates: Attribution Analysis of Chinese Harmful Memes Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T13:54:43.742609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.