Paper Citation Record · LEDGER

Style Over Substance: Evaluation Biases for Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2307.03025.

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

pith.paper-citation-record.v1
2307.03025 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:19:18.862174Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T18:44:49.756684Z

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 979eb0c7-d7ae-4ed5-96e6-747c2ef24814 · inbound

Lessons from the Trenches on Reproducible Evaluation of Language Models cites this paper.

Lessons from the Trenches on Reproducible Evaluation of Language Models Style Over Substance: Evaluation Biases for Large Language Models

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:44:49.758379Z

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 e428d63a-d37a-465e-a4d8-978807aefe61 · inbound

Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge cites this paper.

Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge Style Over Substance: Evaluation Biases for Large Language Models

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T20:00:24.675263Z

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 3b0b9ea3-5cbf-4690-9ad7-bc2719816663 · inbound

Simple and Effective Baselines for Code Summarisation Evaluation cites this paper.

Simple and Effective Baselines for Code Summarisation Evaluation Style Over Substance: Evaluation Biases for Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:18.862174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0f77b89-09ea-410d-b8ea-7fcf46ffa3bc · inbound

Towards Efficient and Effective Alignment of Large Language Models cites this paper.

Towards Efficient and Effective Alignment of Large Language Models Style Over Substance: Evaluation Biases for Large Language Models

Reference 190

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:43.107652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8c77f3b-3746-4371-abd6-e3bb2c761ef8 · inbound

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities cites this paper.

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities Style Over Substance: Evaluation Biases for Large Language Models

Reference 1992

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:25.242829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b2b1bf0-7fb1-4fc5-a63d-3b1c6b8b978f · inbound

Who Endorsed It? Measuring Authority Bias Across Expertise Levels in Language Models cites this paper.

Who Endorsed It? Measuring Authority Bias Across Expertise Levels in Language Models Style Over Substance: Evaluation Biases for Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T09:37:09.585094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4271f0a9-1cf1-433c-a4c1-24d5bd6fe217 · inbound

IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures cites this paper.

IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures Style Over Substance: Evaluation Biases for Large Language Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:35:52.649999Z

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 35faa975-e561-4925-9c3c-ab85a65e667d · inbound

IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures cites this paper.

IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures Style Over Substance: Evaluation Biases for Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-13T00:19:33.861692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b64db33-a99a-4bdc-bbed-472a9f4b3bce · inbound

Judging the Judges: A Systematic Evaluation of Bias Mitigation Strategies in LLM-as-a-Judge Pipelines cites this paper.

Judging the Judges: A Systematic Evaluation of Bias Mitigation Strategies in LLM-as-a-Judge Pipelines Style Over Substance: Evaluation Biases for Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:41:14.156272Z

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 a2eea7dd-311f-454c-946d-ebb8a963edd1 · inbound

PERSA: Reinforcement Learning for Professor-Style Personalized Feedback with LLMs cites this paper.

PERSA: Reinforcement Learning for Professor-Style Personalized Feedback with LLMs Style Over Substance: Evaluation Biases for Large Language Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:51:42.468260Z

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.