Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Self-Supervised Visual Preference Alignment
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.10501.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:28:49.538730Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T05:41:02.270927Z
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 c1555e19-d7ec-4741-bafd-f014c10d7c53 · inbound
LeanPO: Lean Preference Optimization for Likelihood Alignment in Video-LLMs cites this paper.
LeanPO: Lean Preference Optimization for Likelihood Alignment in Video-LLMs Self-Supervised Visual Preference Alignment
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:28:49.538730Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c1e9cbc-fa00-4d8b-821b-9d59a657ad41 · inbound
Improving Large Vision and Language Models by Learning from a Panel of Peers cites this paper.
Improving Large Vision and Language Models by Learning from a Panel of Peers Self-Supervised Visual Preference Alignment
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:27:27.721849Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4ca5a5e-a8b5-4200-bf18-c538ada77016 · inbound
S2H-DPO: Hardness-Aware Preference Optimization for Vision-Language Models cites this paper.
S2H-DPO: Hardness-Aware Preference Optimization for Vision-Language Models Self-Supervised Visual Preference Alignment
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T05:41:02.272168Z
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.