Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.10689.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T18:33:05.658173Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T16:37:09.506846Z
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 61cb3934-23da-4a8e-ab09-97b78b962de4 · inbound
The SuperActivator Mechanism: Transformers Concentrate Reliable Concept Signals in the Tail cites this paper.
The SuperActivator Mechanism: Transformers Concentrate Reliable Concept Signals in the Tail Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:33:05.658173Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 948e7c73-bc3b-4732-aec6-7252b30784dc · inbound
Beyond Accuracy: Interpreting Topic Representation in Suicide Ideation Detection Models cites this paper.
Beyond Accuracy: Interpreting Topic Representation in Suicide Ideation Detection Models Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T16:37:09.508290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.