Paper Citation Record · LEDGER

Measuring Bias in Contextualized Word Representations

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1906.07337.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1906.07337 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:02:56.160004Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-05-23T17:08:12.319339Z

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 c8b89f11-3ab8-4483-b505-ea1a13c97e07 · inbound

Ethical and social risks of harm from Language Models cites this paper.

Ethical and social risks of harm from Language Models Measuring Bias in Contextualized Word Representations

Reference 152

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:24:29.795284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7fe090dc-bc76-46e0-979e-c76a7c999c72 · inbound

Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned cites this paper.

Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned Measuring Bias in Contextualized Word Representations

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:38:08.517670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 16f97517-a8d8-483c-ad8d-4be4940f0e7a · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science Measuring Bias in Contextualized Word Representations

Reference 196

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:53:22.202677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9c7257ba-3a73-4a4d-90c0-953ce112d74f · inbound

Bias in Large Language Models: Origin, Evaluation, and Mitigation cites this paper.

Bias in Large Language Models: Origin, Evaluation, and Mitigation Measuring Bias in Contextualized Word Representations

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-05-23T17:08:12.321609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d0e34666-edf3-40ac-8cbf-d628b2f856dc · inbound

Mitigating Gender Bias in Contextual Word Embeddings cites this paper.

Mitigating Gender Bias in Contextual Word Embeddings Measuring Bias in Contextualized Word Representations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T18:02:56.160004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f602bad-234e-4ce2-aae4-d53bfddfcca1 · inbound

The "LLM World of Words" English free association norms generated by large language models cites this paper.

The "LLM World of Words" English free association norms generated by large language models Measuring Bias in Contextualized Word Representations

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:11.508998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96118363-4827-4cf7-b5ff-664bbc8df6a7 · inbound

Improving LLM Group Fairness on Tabular Data via In-Context Learning cites this paper.

Improving LLM Group Fairness on Tabular Data via In-Context Learning Measuring Bias in Contextualized Word Representations

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T21:22:43.060783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04241856-2d8a-48a5-90dc-7c056fc46297 · inbound

Relative Bias: A Comparative Framework for Quantifying Bias in LLMs cites this paper.

Relative Bias: A Comparative Framework for Quantifying Bias in LLMs Measuring Bias in Contextualized Word Representations

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:21.340647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c530a02-6831-4734-823b-fbfa8a32b41a · inbound

Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities cites this paper.

Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities Measuring Bias in Contextualized Word Representations

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:35:40.811376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bd23d350-0132-4afd-8924-027ae066671d · inbound

StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs cites this paper.

StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs Measuring Bias in Contextualized Word Representations

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:27.220111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6beed790-1cc7-4bb8-b7d7-94554337bcf1 · inbound

StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs cites this paper.

StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs Measuring Bias in Contextualized Word Representations

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:22:29.066693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.