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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 3 inbound Pith citation observations for arXiv:2407.13928.

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

pith.paper-citation-record.v1
2407.13928 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:21:25.634350Z

measured 0 of 1 external citation measurements

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 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.

source=arxiv_source observed=2026-08-07T13:21:25.634350Z digest=sha256:a43991b8fa982d85c1e90f4cae6505edc28778662f00835151090aba2c314683

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.

source=pdf_text observed=2026-08-07T00:51:07.406507Z digest=sha256:8a0010c5673709eda7e30124e2678030a5867c573cca25be22346a613e604d51

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.

source=pdf_text observed=2026-05-13T20:33:04.433907Z digest=sha256:136a987458b54ea59fa39657ba174c6687c71faca9d4aad4fdd82334cc5a8275