Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
BiasDPO: Mitigating Bias in Language Models through Direct Preference Optimization
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.13928.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T19:55:50.475790Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T20:33:14.698555Z
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 77dd62a2-c20a-4a1d-a003-6ceb872ac68b · inbound
Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment cites this paper.
Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment BiasDPO: Mitigating Bias in Language Models through Direct Preference Optimization
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T19:55:50.475790Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b179e8a2-fc1f-4f32-9909-31938444c74b · inbound
BiasFilter: An Inference-Time Debiasing Framework for Large Language Models cites this paper.
BiasFilter: An Inference-Time Debiasing Framework for Large Language Models BiasDPO: Mitigating Bias in Language Models through Direct Preference Optimization
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:21:25.634350Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc8fe554-bd07-4161-9b7f-d951b027b886 · inbound
Detection, Classification, and Mitigation of Gender Bias in Large Language Models cites this paper.
Detection, Classification, and Mitigation of Gender Bias in Large Language Models BiasDPO: Mitigating Bias in Language Models through Direct Preference Optimization
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:51:07.406507Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f1c6846-70b0-4ae2-af70-3758bbf4af90 · inbound
Mitigating LLM biases toward spurious social contexts using direct preference optimization cites this paper.
Mitigating LLM biases toward spurious social contexts using direct preference optimization BiasDPO: Mitigating Bias in Language Models through Direct Preference Optimization
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:33:14.699999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.