Paper Citation Record · LEDGER

From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2305.08283.

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

pith.paper-citation-record.v1
2305.08283 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:30:33.121037Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T19:33:44.327024Z

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 f9488a44-bddb-499f-956b-efae4bac1df5 · inbound

Cognitive Architectures for Language Agents cites this paper.

Cognitive Architectures for Language Agents From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:33:44.329267Z

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 355a8924-8812-4c34-8ab6-9d2d0b8dbbb1 · inbound

A Roadmap to Pluralistic Alignment cites this paper.

A Roadmap to Pluralistic Alignment From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Reference 263

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:37:53.629222Z

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 f223b58d-7e39-4f63-a42a-47f1a07a6ccb · inbound

Fantastic Biases (What are They) and Where to Find Them cites this paper.

Fantastic Biases (What are They) and Where to Find Them From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T14:37:22.921836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d0cc22e-ab57-4f5b-926d-25bc597a4eef · inbound

Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models cites this paper.

Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-11T22:21:52.405195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dc86240-3de6-4b2f-b913-e0c8e94c8b0a · inbound

AI in Education: Rationale, Principles, and Instructional Implications cites this paper.

AI in Education: Rationale, Principles, and Instructional Implications From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Reference 1087

Resolution: unresolved; no resolver link, observed 2026-08-12T04:20:55.681852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83d8f79a-a515-41ee-9209-32eae7ed9a6d · inbound

Scopes of Alignment cites this paper.

Scopes of Alignment From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T20:27:08.874925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa0d248e-beaa-4c0b-819e-0dacf5068363 · inbound

Implicit Communication of Contextual Information in Human-Robot Collaboration cites this paper.

Implicit Communication of Contextual Information in Human-Robot Collaboration From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T18:04:24.031619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 528fc909-ef2b-4c30-96b4-9971bc3342fc · inbound

Aspirational Affordances of AI cites this paper.

Aspirational Affordances of AI From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T11:30:33.121037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db3fa2a4-867c-4934-921c-c4d501bb78a5 · inbound

Large Language Models are often politically extreme, usually ideologically inconsistent, and persuasive even in informational contexts cites this paper.

Large Language Models are often politically extreme, usually ideologically inconsistent, and persuasive even in informational contexts From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T23:39:28.502025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8190ceeb-4927-4d25-ac20-42afa219e45b · inbound

The Biased Samaritan: LLM biases in Perceived Kindness cites this paper.

The Biased Samaritan: LLM biases in Perceived Kindness From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T04:14:10.072483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2918db28-13e8-43bc-916a-a09d6245d872 · inbound

The Democratic Paradox in Large Language Models' Underestimation of Press Freedom cites this paper.

The Democratic Paradox in Large Language Models' Underestimation of Press Freedom From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T18:59:03.247970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a3e29a5-c511-4aad-8c34-056129b7ccf0 · inbound

A Dual-Layered Evaluation of Geopolitical and Cultural Bias in LLMs cites this paper.

A Dual-Layered Evaluation of Geopolitical and Cultural Bias in LLMs From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T22:22:07.080651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88e0573c-e8a4-4a20-bd39-f3521a248bb8 · inbound

Political Bias Audits of LLMs Capture Sycophancy to the Inferred Auditor cites this paper.

Political Bias Audits of LLMs Capture Sycophancy to the Inferred Auditor From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:21:28.380979Z

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.