Paper Citation Record · LEDGER

Measuring and Reducing Gendered Correlations in Pre-trained Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2010.06032.

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

pith.paper-citation-record.v1
2010.06032 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:03:44.642485Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:27:56.884365Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 a3e725d0-7ee9-404d-8c8f-b7bece085abc · inbound

ART: Automatic multi-step reasoning and tool-use for large language models cites this paper.

ART: Automatic multi-step reasoning and tool-use for large language models Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 96

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T19:03:06.108202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e94d7d02-17a2-4a2f-8877-f53054e2abdb · inbound

StarCoder: may the source be with you! cites this paper.

StarCoder: may the source be with you! Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 265

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:33:01.066274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 536320ea-f51b-4697-b77b-f16e69b76bfb · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 174

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:17:08.548962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6a941e34-c576-48c6-bbe9-993aba3eb63a · inbound

Mitigating Extrinsic Gender Bias for Bangla Classification Tasks cites this paper.

Mitigating Extrinsic Gender Bias for Bangla Classification Tasks Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:38:15.605517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8e2057fe-491b-407c-b73c-9f7c21eb4626 · inbound

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

Bias in Large Language Models: Origin, Evaluation, and Mitigation Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:08:12.426991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d17e0770-ba33-4e8a-a584-cf411b78299d · inbound

Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs cites this paper.

Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-09T14:03:44.642485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91b9fee3-05ff-4342-92ce-8b9e21dd9b7b · 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 and Reducing Gendered Correlations in Pre-trained Models

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:25.231885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f165937-d155-42e6-a762-c1d75940fb27 · inbound

Advertising in AI systems: Society must be vigilant cites this paper.

Advertising in AI systems: Society must be vigilant Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:31.603060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7269381-3974-4ce4-aa7b-b97e18cab81d · inbound

Paying Alignment Tax with Contrastive Learning cites this paper.

Paying Alignment Tax with Contrastive Learning Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:40.193273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdbb6702-9ac1-46e7-a791-956bd5f48434 · inbound

Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking cites this paper.

Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:40.636450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fa49dc5-bcb0-457b-add9-ee2069436618 · inbound

Towards Fair Rankings: Leveraging LLMs for Gender Bias Detection and Measurement cites this paper.

Towards Fair Rankings: Leveraging LLMs for Gender Bias Detection and Measurement Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T22:11:52.837799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12aee931-70de-4b26-bde7-bbf320d41e1a · inbound

FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes cites this paper.

FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:43.846282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b51e76e-6fcf-4b29-b8fc-8659b12d50a5 · inbound

From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language Models cites this paper.

From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language Models Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T20:20:50.087977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3dab8cd-b76d-4df0-8597-301f1f636e9e · inbound

KLAAD: Refining Attention Mechanisms to Reduce Societal Bias in Generative Language Models cites this paper.

KLAAD: Refining Attention Mechanisms to Reduce Societal Bias in Generative Language Models Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T13:56:22.403345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14a23f3d-a247-4604-8cf6-f3bb52951f0d · inbound

No LLM Solved Yu Tsumura's 554th Problem cites this paper.

No LLM Solved Yu Tsumura's 554th Problem Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T04:16:44.671533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a21c4733-c3db-4fa1-8abe-e399068601ca · inbound

CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models cites this paper.

CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T12:32:14.068885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 539bc654-8786-4e9f-a9cc-209e1f2aaa82 · inbound

Can We Trust a Black-box LLM? LLM Untrustworthy Boundary Detection via Bias-Diffusion and Multi-Agent Reinforcement Learning cites this paper.

Can We Trust a Black-box LLM? LLM Untrustworthy Boundary Detection via Bias-Diffusion and Multi-Agent Reinforcement Learning Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:30:51.237627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e6bddfa8-9a48-4ef6-aca3-e0d0c42b92c3 · inbound

Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution cites this paper.

Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:15:09.115477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5a854764-f808-4ebe-a4cf-cd52414ed4ad · 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 and Reducing Gendered Correlations in Pre-trained Models

Reference 113

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:27.225757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 43e5508c-fa84-4cae-8aff-95ecb3dd9740 · 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 and Reducing Gendered Correlations in Pre-trained Models

Reference 113

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:22:28.976271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0397a2e1-802a-4e21-8eaf-3a1e7007b029 · inbound

DebiasRAG: A Tuning-Free Path to Fair Generation in Large Language Models through Retrieval-Augmented Generation cites this paper.

DebiasRAG: A Tuning-Free Path to Fair Generation in Large Language Models through Retrieval-Augmented Generation Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:03:39.504561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 68d91503-4689-46b4-95a0-123ba797fd99 · inbound

Debiasing Without Protected Attributes: Latent Concept Erasure from Textual Profiles cites this paper.

Debiasing Without Protected Attributes: Latent Concept Erasure from Textual Profiles Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:27:56.886826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 42495f78-5459-4bbb-86fe-7db80ebfaa70 · inbound

Position: It's Time to Optimize LLMs for Self-Consistency cites this paper.

Position: It's Time to Optimize LLMs for Self-Consistency Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T01:00:03.678214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.