Paper Citation Record · LEDGER

A Multi-LLM Debiasing Framework

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2409.13884.

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

pith.paper-citation-record.v1
2409.13884 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 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:36:38.636572Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 02e461a1-178d-4eb0-a2f4-a1aac0eab59c · inbound

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods A Multi-LLM Debiasing Framework

Reference 173

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:11:13.104861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 987e8dc4-ca4a-4977-882f-02fed4263a55 · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning A Multi-LLM Debiasing Framework

Reference 149

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:22:09.317671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 462bc905-4c0d-478c-84cb-9b61d49dd918 · inbound

Evaluating Chinese Large Language Models: The Influence of Persona Assignment on Stereotypes and Safeguards cites this paper.

Evaluating Chinese Large Language Models: The Influence of Persona Assignment on Stereotypes and Safeguards A Multi-LLM Debiasing Framework

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T10:36:38.636572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1b01388-7899-4b3a-b75a-55dfd63d41eb · inbound

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration cites this paper.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration A Multi-LLM Debiasing Framework

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.658645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b68e4f6-65ab-402c-b095-b7596b2a2bb0 · inbound

From Charts to Fair Narratives: Uncovering and Mitigating Geo-Economic Biases in Chart-to-Text cites this paper.

From Charts to Fair Narratives: Uncovering and Mitigating Geo-Economic Biases in Chart-to-Text A Multi-LLM Debiasing Framework

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T21:07:08.850983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0b38780-71d8-4aab-958d-29599baf0023 · inbound

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process cites this paper.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process A Multi-LLM Debiasing Framework

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.708723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5cc02e4f-b348-4c9e-bf38-94be6df1f19f · inbound

Be a Partner, not a Bystander in Software Engineering Practice: Bridging the Gaps between Academia and Industry cites this paper.

Be a Partner, not a Bystander in Software Engineering Practice: Bridging the Gaps between Academia and Industry A Multi-LLM Debiasing Framework

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:00:43.060201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 318ab782-f472-4b69-9ade-17668663c0d3 · inbound

Discriminatory Compliance: How LLMs Answer Queries from Protected Groups cites this paper.

Discriminatory Compliance: How LLMs Answer Queries from Protected Groups A Multi-LLM Debiasing Framework

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-06-26T12:59:29.148530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.