Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2301.09211.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T10:38:41.892957Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T19:18:01.374506Z
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 e64d946c-ff7f-4139-9447-942401e33956 · inbound
Textbooks Are All You Need II: phi-1.5 technical report cites this paper.
Textbooks Are All You Need II: phi-1.5 technical report An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:18:01.378252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5fd0207e-c4da-4f98-8fb8-0934c69c2fa2 · inbound
Chained Tuning Leads to Biased Forgetting cites this paper.
Chained Tuning Leads to Biased Forgetting An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:38:41.892957Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6297fb14-6e0c-49bf-9cc7-c8bef480ed6b · inbound
Navigating the Sea of LLM Evaluation: Investigating Bias in Toxicity Benchmarks cites this paper.
Navigating the Sea of LLM Evaluation: Investigating Bias in Toxicity Benchmarks An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models
Reference 10
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T05:31:23.941771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.