Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2108.12084.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T10:08:10.379797Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T11:59:27.081360Z
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 88b4edab-1884-4890-a8ad-c885647ba285 · inbound
PaLM 2 Technical Report cites this paper.
PaLM 2 Technical Report Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T11:59:27.083708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 249d62e8-f956-4b68-98b0-6762d63220f8 · inbound
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation cites this paper.
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:08:10.379797Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef662575-bbbb-4934-a780-6e2818c3520a · inbound
Understanding Gender Bias in AI-Generated Product Descriptions cites this paper.
Understanding Gender Bias in AI-Generated Product Descriptions Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:11:58.613572Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.