Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Length Desensitization in Direct Preference Optimization
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2409.06411.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:37:34.210531Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T08:09:40.691954Z
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 3aa25225-c77a-477a-9353-1cb33690dc55 · inbound
Hansel: Output Length Controlling Framework for Large Language Models cites this paper.
Hansel: Output Length Controlling Framework for Large Language Models Length Desensitization in Direct Preference Optimization
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:37:34.210531Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f33d3a0-bab8-4df3-8ffb-e0ad92964bbe · inbound
A Technical Survey of Reinforcement Learning Techniques for Large Language Models cites this paper.
A Technical Survey of Reinforcement Learning Techniques for Large Language Models Length Desensitization in Direct Preference Optimization
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:59:31.732769Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation abf57df3-9381-41e3-8389-0b164cbcf2f0 · inbound
TiCo: Time-Controllable Spoken Dialogue Model cites this paper.
TiCo: Time-Controllable Spoken Dialogue Model Length Desensitization in Direct Preference Optimization
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T00:39:35.752476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 340fa0a7-083c-4f74-9c30-7a9ce73f343e · inbound
GroupDPO: Memory efficient Group-wise Direct Preference Optimization cites this paper.
GroupDPO: Memory efficient Group-wise Direct Preference Optimization Length Desensitization in Direct Preference Optimization
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T09:43:48.709683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0b5c5264-4c30-4508-b3c8-3df38d12a197 · inbound
Learning to Control Summaries with Score Ranking cites this paper.
Learning to Control Summaries with Score Ranking Length Desensitization in Direct Preference Optimization
Reference 45
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T06:41:36.366133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation df62599c-a6da-476b-8033-298497b91682 · inbound
From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents cites this paper.
From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents Length Desensitization in Direct Preference Optimization
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:46:10.387921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation bdb75aa9-7689-4f60-aefa-d4d84e10b311 · inbound
Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning cites this paper.
Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning Length Desensitization in Direct Preference Optimization
Reference 121
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T08:09:40.693757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.