Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor Data
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.11247.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:45:20.580023Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T00:25:10.321119Z
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 d61fdbcb-e022-492b-9216-31f52df6538b · inbound
Bias in Large Language Models: Origin, Evaluation, and Mitigation cites this paper.
Bias in Large Language Models: Origin, Evaluation, and Mitigation Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor Data
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T17:08:12.390406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 33bd7501-8ea3-4d6d-8d26-dc909213bea7 · inbound
The Fair Game: Auditing & Debiasing AI Algorithms Over Time cites this paper.
The Fair Game: Auditing & Debiasing AI Algorithms Over Time Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor Data
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:45:20.580023Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af4078ca-3d89-4c4d-9860-15e808c2d554 · inbound
Mitigation of Gender and Ethnicity Bias in AI-Generated Stories through Model Explanations cites this paper.
Mitigation of Gender and Ethnicity Bias in AI-Generated Stories through Model Explanations Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor Data
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:22:28.916208Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5db243cd-02b0-4ccb-8e8e-03c35796fc0d · inbound
Moral Sensitivity in LLMs: A Tiered Evaluation of Contextual Bias via Behavioral Profiling and Mechanistic Interpretability cites this paper.
Moral Sensitivity in LLMs: A Tiered Evaluation of Contextual Bias via Behavioral Profiling and Mechanistic Interpretability Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor Data
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:51:29.522861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation dd8a28f2-da1c-40cd-97aa-e824a3b6d3c9 · inbound
Moral Sensitivity in LLMs: A Tiered Evaluation of Contextual Bias via Behavioral Profiling and Mechanistic Interpretability cites this paper.
Moral Sensitivity in LLMs: A Tiered Evaluation of Contextual Bias via Behavioral Profiling and Mechanistic Interpretability Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor Data
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T00:25:10.322823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.