Paper Citation Record · LEDGER

Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.03009.

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

pith.paper-citation-record.v1
2406.03009 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:55:23.371198Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b2e15f4b-7bb5-4d88-bb45-fbd282e170bb · inbound

Too Big to Fool: Resisting Deception in Language Models cites this paper.

Too Big to Fool: Resisting Deception in Language Models Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T15:55:23.371198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6cc40c6-2a0f-4678-818b-98a9e35f26ba · inbound

RoToR: Towards More Reliable Responses for Order-Invariant Inputs cites this paper.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T16:11:43.241022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 826c63b1-2466-44ca-a6c7-0aaabfa18f05 · inbound

Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation cites this paper.

Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:35.814703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ea6a755-65d2-4d0e-925b-25980217d2d3 · inbound

Safety Under Scaffolding: How Evaluation Conditions Shape Measured Safety cites this paper.

Safety Under Scaffolding: How Evaluation Conditions Shape Measured Safety Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-07-15T13:17:48.274611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7811de67-712a-4ff9-8140-148b971e77f7 · inbound

Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation cites this paper.

Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T21:33:29.527205Z

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 eee701a0-3d6c-46f1-8b6d-884e3077443f · inbound

Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization cites this paper.

Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:37:29.831887Z

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 6a63a836-1e9b-4e67-9145-1fc9cf62061f · inbound

When LLMs Agree, Are They Right? Auditing Self-Consistency and Cross-Model Agreement as Confidence Signals cites this paper.

When LLMs Agree, Are They Right? Auditing Self-Consistency and Cross-Model Agreement as Confidence Signals Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-07-10T00:56:40.923300Z

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 7e034839-8e47-4988-9e2e-0acc81ba2b9d · inbound

When LLMs Agree, Are They Right? Auditing Self-Consistency and Cross-Model Agreement as Confidence Signals cites this paper.

When LLMs Agree, Are They Right? Auditing Self-Consistency and Cross-Model Agreement as Confidence Signals Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T07:59:15.548426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.