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Paper Citation Record · LEDGER

Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.07230.

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

pith.paper-citation-record.v1
2403.07230 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:58:34.549040Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T22:44:15.006539Z

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 94aaa02f-767c-430b-9c3d-521762d43769 · inbound

FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy cites this paper.

FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-08T18:58:34.549040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:58:34.549040Z digest=sha256:25bf709b0b5a9392a1f604a43928b54e51d06daded2205cf3a7c78580fdfe735

Observation 011012fb-a26c-4fd3-b3be-7af78c817c61 · inbound

Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples cites this paper.

Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-08T11:57:11.908968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:57:11.908968Z digest=sha256:5c887fdcd2810b93daf16726c7b8ce63503c4bb4c0f0a6ec8564fde64e140c6b

Observation 0f9f45d8-5423-4b4b-8718-44973dfda988 · inbound

Teaching with Lies: Curriculum DPO on Synthetic Negatives for Hallucination Detection cites this paper.

Teaching with Lies: Curriculum DPO on Synthetic Negatives for Hallucination Detection Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:39.321549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:50:39.321549Z digest=sha256:4947c60d8038bc2ccf6cb534e538cfca17d1b97a8ac67f731b8b661b58d97c65

Observation 3f08363a-b433-4bb3-87ec-46074b8cfa5b · inbound

Align Generative Artificial Intelligence with Human Preferences: A Novel Large Language Model Fine-Tuning Method for Online Review Management cites this paper.

Align Generative Artificial Intelligence with Human Preferences: A Novel Large Language Model Fine-Tuning Method for Online Review Management Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:44:15.007840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T22:40:31.084594Z digest=sha256:b0b2a2af4bfc9549c4c852b0c0706f98e23ebdff48d9da04c6b1ee3be5f9f5b7