Paper Citation Record · LEDGER

Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs

As of 7 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2507.05686.

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

pith.paper-citation-record.v1
2507.05686 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:23:38.656213Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact2
verified fuzzy2
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3bf839f7-cc5d-46b3-bf61-c724f69996f4 · outbound

This paper cites Bias and fairness in large language models: A survey.

Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs Bias and fairness in large language models: A survey

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:39.667849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3d6432c1-dac9-47d4-831b-c3aa7d3a5ae4 · outbound

This paper cites Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes.

Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:23:39.213282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8c28ac20-177f-4756-9032-ac802552eede · outbound

This paper cites The language model evaluation harness, 07 2024.

Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs The language model evaluation harness, 07 2024

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T19:23:37.549259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1cb3a9e-9403-46f7-a6ee-a8f90be643c7 · outbound

This paper cites The Llama 3 Herd of Models.

Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs The Llama 3 Herd of Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T19:23:37.646697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17ced15e-d5ae-4a2d-af3a-d76dc06dc16b · outbound

This paper cites Qwen2.5-Coder Technical Report.

Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs Qwen2.5-Coder Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:23:37.769944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 658f0fdc-5a62-46cb-b08f-39e2408fde86 · outbound

This paper cites BanStereoSet: A Dataset to Measure Stereotypical Social Biases in LLMs for Bangla.

Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs BanStereoSet: A Dataset to Measure Stereotypical Social Biases in LLMs for Bangla

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:23:38.885890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ee2589ec-034d-452b-9242-a3244746d152 · outbound

This paper cites Understanding and Mitigating Language Confusion in LLMs.

Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs Understanding and Mitigating Language Confusion in LLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T19:23:37.987197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0c1941f-b0c7-43cf-a5eb-aaf9a42cae18 · outbound

This paper cites Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies.

Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T19:23:38.076747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 477d6be1-c007-405a-9bf7-e600f0a7cefd · outbound

This paper cites KMMLU: Measuring Massive Multitask Language Understanding in Korean.

Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs KMMLU: Measuring Massive Multitask Language Understanding in Korean

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T19:23:38.220779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9230dc87-364c-41f2-bf2b-f795446a62b3 · outbound

This paper cites Qwen3 Technical Report.

Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs Qwen3 Technical Report

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T19:23:38.368270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 824b315f-1c74-4587-ab00-328a63b74041 · outbound

This paper cites Harnessing Large Language Models as Post-hoc Correctors.

Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs Harnessing Large Language Models as Post-hoc Correctors

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:23:38.556065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d9407b7-99f0-4a99-9745-e165e7b9fe79 · outbound

This paper cites Evaluating and mitigating gender bias in generative large language models.

Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs Evaluating and mitigating gender bias in generative large language models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:23:39.450610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.