Paper Citation Record · LEDGER

Fairness Dynamics During Training

As of 20 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2506.01709.

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

pith.paper-citation-record.v1
2506.01709 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:39:53.019573Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

19 of 19 outbound references displayed

verified exact2
verified fuzzy5
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7afc7335-f27f-4c4f-823b-825322ec63be · outbound

This paper cites Pythia: A suite for analyzing large language models across training and scaling.

Fairness Dynamics During Training Pythia: A suite for analyzing large language models across training and scaling

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:47.145238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4535d807-217b-48dd-82b9-bbb1b8f7868c · outbound

This paper cites Pretrained Language Model Embryology: The Birth of ALBERT.

Fairness Dynamics During Training Pretrained Language Model Embryology: The Birth of ALBERT

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:40:08.043528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 13c82353-e767-4011-8cf6-54562ec132a2 · outbound

This paper cites Theories of “gender” in nlp bias research.

Fairness Dynamics During Training Theories of “gender” in nlp bias research

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:11.955541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ca4d6c6-2752-44c6-abd3-496846ebadb5 · outbound

This paper cites On the impact of machine learning randomness on group fairness.

Fairness Dynamics During Training On the impact of machine learning randomness on group fairness

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:11.807877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 793c9687-3c9e-457b-9c3c-a5801acf6cf9 · outbound

This paper cites Bigbench: Towards an industry standard benchmark for big data analytics.

Fairness Dynamics During Training Bigbench: Towards an industry standard benchmark for big data analytics

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:11.502357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 35bc065b-4af7-49d1-87b7-df9fc3977269 · outbound

This paper cites Towards understanding fairness and its composition in ensemble machine learning.

Fairness Dynamics During Training Towards understanding fairness and its composition in ensemble machine learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:09.938519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7d87c434-e121-46b0-b0d0-acc9d97a7e1e · outbound

This paper cites Ffb: A fair fairness benchmark for in-processing group fairness methods, 2024.

Fairness Dynamics During Training Ffb: A fair fairness benchmark for in-processing group fairness methods, 2024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:09.868562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7b352ee7-6a1e-469f-b9ec-b931fad6a9f1 · outbound

This paper cites Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks.

Fairness Dynamics During Training Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:39:53.376023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 551278a1-3200-424a-85ee-9cbdc042b665 · outbound

This paper cites Scaling Laws for Neural Language Models.

Fairness Dynamics During Training Scaling Laws for Neural Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:51.999849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a23b781f-0596-419e-9e48-2e13b6e440da · outbound

This paper cites an unresolved cited work.

Fairness Dynamics During Training Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:09.642906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f14aece9-1c94-4d96-ab5f-ad70b570e923 · outbound

This paper cites Probing Across Time: What Does RoBERTa Know and When?.

Fairness Dynamics During Training Probing Across Time: What Does RoBERTa Know and When?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:52.178797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37ba012d-bbf6-49e7-b746-47263d65ee75 · outbound

This paper cites On a test of whether one of two random variables is stochastically larger than the other.The annals of mathematical statistics, pages 50–60, 1947.

Fairness Dynamics During Training On a test of whether one of two random variables is stochastically larger than the other.The annals of mathematical statistics, pages 50–60, 1947

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:52.259942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 691bbec6-ea1a-479d-b6b8-54dbf47a5769 · outbound

This paper cites StereoSet: Measuring stereotypical bias in pretrained language models.

Fairness Dynamics During Training StereoSet: Measuring stereotypical bias in pretrained language models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:52.329107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d944497f-7a5c-4241-b556-6f5bc7a114c2 · outbound

This paper cites CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models.

Fairness Dynamics During Training CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:52.400219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81a5de6c-883f-455e-bd52-e4858d7cd1a6 · outbound

This paper cites The LAMBADA dataset: Word prediction requiring a broad discourse context.

Fairness Dynamics During Training The LAMBADA dataset: Word prediction requiring a broad discourse context

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:52.464536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd5d1a77-75c8-4a24-9a57-ac36000bc52a · outbound

This paper cites Are emergent abilities of large language models a mirage?, 2023.

Fairness Dynamics During Training Are emergent abilities of large language models a mirage?, 2023

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:52.554247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 420ddf81-26b1-4fa9-8364-baf0e49c8b4d · outbound

This paper cites Fewer Errors, but More Stereotypes? The Effect of Model Size on Gender Bias.

Fairness Dynamics During Training Fewer Errors, but More Stereotypes? The Effect of Model Size on Gender Bias

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:52.777069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 472b5137-f1ae-45ce-90c0-e4df3b90f4dd · outbound

This paper cites Training Trajectories of Language Models Across Scales.

Fairness Dynamics During Training Training Trajectories of Language Models Across Scales

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:52.924492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 596b6869-2972-4b7d-b6ed-25088d714e44 · outbound

This paper cites Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.

Fairness Dynamics During Training Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:53.019573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.