Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Intersectional Bias in Causal Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2107.07691.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:11:58.771900Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T19:55:11.519506Z
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 e77f2142-9d6a-401d-aa88-43c66c1018f1 · inbound
BBQ: A Hand-Built Bias Benchmark for Question Answering cites this paper.
BBQ: A Hand-Built Bias Benchmark for Question Answering Intersectional Bias in Causal Language Models
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T19:55:11.521997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 138282bf-5b0e-4622-bd8e-0089e46d4bae · inbound
Understanding Gender Bias in AI-Generated Product Descriptions cites this paper.
Understanding Gender Bias in AI-Generated Product Descriptions Intersectional Bias in Causal Language Models
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:11:58.771900Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08ba5630-776a-46c9-90a9-6cfd49086c99 · inbound
Identifying Implicit Bias in LLM-based Chat AI Toward People with Intellectual Disabilities cites this paper.
Identifying Implicit Bias in LLM-based Chat AI Toward People with Intellectual Disabilities Intersectional Bias in Causal Language Models
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T11:02:29.502072Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.