Paper Citation Record · LEDGER

Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.11457.

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

pith.paper-citation-record.v1
2404.11457 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:49:20.390767Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:35:44.122158Z

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 7baff97c-a28c-46be-91f0-ef0d1ec8213e · inbound

Writing Style Matters: An Examination of Bias and Fairness in Information Retrieval Systems cites this paper.

Writing Style Matters: An Examination of Bias and Fairness in Information Retrieval Systems Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T16:49:20.390767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a7008cb-1c98-412e-839c-4c9e8ebd41c2 · inbound

A Survey on LLM-as-a-Judge cites this paper.

A Survey on LLM-as-a-Judge Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:35:44.124668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1b096fbc-c65c-4343-8040-bfec3a2eef95 · inbound

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T22:41:14.824752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad76b067-230d-4237-b8f9-7e7433628177 · inbound

What External Knowledge is Preferred by LLMs? Characterizing and Exploring Chain of Evidence in Imperfect Context for Multi-Hop QA cites this paper.

What External Knowledge is Preferred by LLMs? Characterizing and Exploring Chain of Evidence in Imperfect Context for Multi-Hop QA Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T13:57:27.756707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e92e91b4-010a-4633-8ce1-2ca7bdd6d056 · inbound

RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects cites this paper.

RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T23:48:53.886351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a3aa460-0158-40b5-a0e4-024c112f9eaa · inbound

Unbiased Evaluation of Large Language Models from a Causal Perspective cites this paper.

Unbiased Evaluation of Large Language Models from a Causal Perspective Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T14:51:15.378498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.