Paper Citation Record · LEDGER

Mixed Preference Optimization: Reinforcement Learning with Data Selection and Better Reference Model

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2403.19443.

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

pith.paper-citation-record.v1
2403.19443 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 2026-08-21T06:32:19.484+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:01:08.872571Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5123fc37-54d7-46de-97dc-0efaf15add4f · inbound

Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning cites this paper.

Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning Mixed Preference Optimization: Reinforcement Learning with Data Selection and Better Reference Model

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:01:08.872571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1b7ff7e-292a-4883-9a1e-bb014b2a47f0 · inbound

VLMs Can Aggregate Scattered Training Patches cites this paper.

VLMs Can Aggregate Scattered Training Patches Mixed Preference Optimization: Reinforcement Learning with Data Selection and Better Reference Model

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T11:04:05.877054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e61e0aa2-a79c-49ca-a8a6-0e3d3924ef27 · inbound

From Answers to Rationales: Self-Aligning Multimodal Reasoning with Answer-Oriented Chain-of-Thought cites this paper.

From Answers to Rationales: Self-Aligning Multimodal Reasoning with Answer-Oriented Chain-of-Thought Mixed Preference Optimization: Reinforcement Learning with Data Selection and Better Reference Model

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:38.248448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11313824-2d8c-4dac-84da-31195cb06a85 · inbound

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

Value Drifts: Tracing Value Alignment During LLM Post-Training Mixed Preference Optimization: Reinforcement Learning with Data Selection and Better Reference Model

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T07:21:34.487518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20b19b6f-b08e-4d43-a73a-45676af80888 · inbound

Pref-CTRL: Preference Driven LLM Alignment using Representation Editing cites this paper.

Pref-CTRL: Preference Driven LLM Alignment using Representation Editing Mixed Preference Optimization: Reinforcement Learning with Data Selection and Better Reference Model

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-08T23:14:25.744460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e15eb3d8-2b72-49a7-b0c8-ecc08c5c90b5 · inbound

General Preference Reinforcement Learning cites this paper.

General Preference Reinforcement Learning Mixed Preference Optimization: Reinforcement Learning with Data Selection and Better Reference Model

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:48:17.690388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8e310a41-242a-43a2-a9f7-9fff333574dd · inbound

General Preference Reinforcement Learning cites this paper.

General Preference Reinforcement Learning Mixed Preference Optimization: Reinforcement Learning with Data Selection and Better Reference Model

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:54:02.884193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d9a05b04-aec6-427e-a90c-0a3f137ba1de · inbound

General Preference Reinforcement Learning cites this paper.

General Preference Reinforcement Learning Mixed Preference Optimization: Reinforcement Learning with Data Selection and Better Reference Model

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:24:45.684729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 34f9f458-7e48-4dae-a111-b48eaac3a7bf · inbound

TPMM-DPO: Trajectory-aware Preference-guided Model Merging for Iterative Direct Preference Optimization cites this paper.

TPMM-DPO: Trajectory-aware Preference-guided Model Merging for Iterative Direct Preference Optimization Mixed Preference Optimization: Reinforcement Learning with Data Selection and Better Reference Model

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:45:17.549121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8da66ce4-67c4-4ac6-8eef-702c465382b3 · inbound

ParVL: Parallel Scaling and Expandable Compute Allocation for Multimodal LLMs cites this paper.

ParVL: Parallel Scaling and Expandable Compute Allocation for Multimodal LLMs Mixed Preference Optimization: Reinforcement Learning with Data Selection and Better Reference Model

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-05T04:16:08.462647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.