Paper Citation Record · LEDGER

Direct Preference Optimization with an Offset

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2402.10571.

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

pith.paper-citation-record.v1
2402.10571 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:40:17.819727Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T22:24:23.529928Z

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 b2d22c02-1478-414f-8744-afb40f444c3a · inbound

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models cites this paper.

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Direct Preference Optimization with an Offset

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:20:59.493391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 587bad29-1ff8-4a50-9e75-684abf84c47f · inbound

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

Explicit Preference Optimization: No Need for an Implicit Reward Model Direct Preference Optimization with an Offset

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:40:17.819727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e6f84a1-65fd-4f01-a787-58d2bebc5535 · inbound

Forewarned is Forearmed: Pre-Synthesizing Jailbreak-like Instructions to Enhance LLM Safety Guardrail to Potential Attacks cites this paper.

Forewarned is Forearmed: Pre-Synthesizing Jailbreak-like Instructions to Enhance LLM Safety Guardrail to Potential Attacks Direct Preference Optimization with an Offset

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T15:19:28.641196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8200f43e-7039-4015-b85e-48e6225b2dfc · inbound

Enhancing Speech Large Language Models through Reinforced Behavior Alignment cites this paper.

Enhancing Speech Large Language Models through Reinforced Behavior Alignment Direct Preference Optimization with an Offset

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:24:23.531850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d26ae2f7-df07-4591-ab61-cb299ee78d85 · inbound

Adaptive Margin RLHF via Preference over Preferences cites this paper.

Adaptive Margin RLHF via Preference over Preferences Direct Preference Optimization with an Offset

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T14:52:18.602366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b0e7a2d-45c4-4445-95f1-a1676ebdece4 · inbound

ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring cites this paper.

ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring Direct Preference Optimization with an Offset

Reference 72

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T05:45:21.958494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ff72c57d-92f4-4a47-8303-02b273dab3f7 · inbound

Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models cites this paper.

Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models Direct Preference Optimization with an Offset

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:26:23.350262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11a4a659-dace-45ea-a427-ed31b495a799 · inbound

MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization cites this paper.

MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization Direct Preference Optimization with an Offset

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:31:24.730093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 104d1f22-4915-4274-ac35-a8d19d9c7e2b · inbound

Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization cites this paper.

Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization Direct Preference Optimization with an Offset

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T07:37:29.874766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 979f0979-22a4-4414-8841-c8a0c59959df · inbound

Antigen-specific Antibody Multi-modal Foundation Model for Functional Antibody Design cites this paper.

Antigen-specific Antibody Multi-modal Foundation Model for Functional Antibody Design Direct Preference Optimization with an Offset

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:13.062985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.