Paper Citation Record · LEDGER

Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2404.04626.

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

pith.paper-citation-record.v1
2404.04626 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:58:32.212732Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:34:02.199643Z

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 38d3c96e-9742-47fd-a1c4-3bf2dea718c6 · inbound

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive cites this paper.

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective

Reference 117

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:04:44.473510Z

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.

Observation 1f7f027b-a5ae-4010-8ca5-2a6cf7e8ea4b · inbound

Salamandra Technical Report cites this paper.

Salamandra Technical Report Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-08T04:58:32.212732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a490680-d938-4d17-8bea-71631ddfb1bd · inbound

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy cites this paper.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:41:08.943627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd7ded6e-a45e-4638-8e46-8fcd2e28457f · inbound

Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists cites this paper.

Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:21:41.669169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29c4a37d-1f34-468f-90e3-68cb338f922a · inbound

Explicit Preference Optimization: No Need for an Implicit Reward Model cites this paper.

Explicit Preference Optimization: No Need for an Implicit Reward Model Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:40:17.882471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3bbaa8d-cb41-42d7-96f4-f338b417b477 · inbound

A Survey on Large Language Models for Mathematical Reasoning cites this paper.

A Survey on Large Language Models for Mathematical Reasoning Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective

Reference 1963

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:45.609799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11213979-cfc9-444d-a231-6100890f1019 · inbound

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents cites this paper.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T21:11:18.299379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff4fe65e-d1f5-4eb6-96dc-0c36871e3cd9 · inbound

Value Drifts: Tracing Value Alignment During LLM Post-Training cites this paper.

Value Drifts: Tracing Value Alignment During LLM Post-Training Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T07:21:33.898254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75974a4b-ac77-4009-a2b2-a3c5a7634cfb · inbound

IRIS: Interpolative R\'enyi Iterative Self-play for Large Language Model Fine-Tuning cites this paper.

IRIS: Interpolative R\'enyi Iterative Self-play for Large Language Model Fine-Tuning Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:41:04.905986Z

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.

Observation 1dd85c43-ba10-43c4-871f-4441a212aeaf · inbound

Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance cites this paper.

Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:19:43.062549Z

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.

Observation e8247885-8341-46c1-b3e7-f8dca5f1ce15 · inbound

Curriculum Learning for Safety Alignment cites this paper.

Curriculum Learning for Safety Alignment Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:34:02.202851Z

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.

Observation 6dec9c58-feae-4e56-91fb-9c479763bc1b · inbound

AdaDPO: Self-Adaptive Direct Preference Optimization with Balanced Gradient Updates cites this paper.

AdaDPO: Self-Adaptive Direct Preference Optimization with Balanced Gradient Updates Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:33:24.405470Z

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.