Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.15973.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:22:59.558385Z
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
3
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 db392c99-de85-4b05-bf75-ade15cb09750 · inbound
ASPO: Adaptive Sentence-Level Preference Optimization for Fine-Grained Multimodal Reasoning cites this paper.
ASPO: Adaptive Sentence-Level Preference Optimization for Fine-Grained Multimodal Reasoning Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:22:59.558385Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e873ec0a-ab0b-4f29-a3b5-edc9fc45642c · inbound
LeanPO: Lean Preference Optimization for Likelihood Alignment in Video-LLMs cites this paper.
LeanPO: Lean Preference Optimization for Likelihood Alignment in Video-LLMs Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:28:52.987620Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 677d734b-80d1-4bf2-b4ce-31d3dbac3d35 · inbound
ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs cites this paper.
ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:40:11.660360Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 898c1883-d398-4829-a80a-277d07070c79 · 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 Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:19:36.307866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05e5b6d7-ed0c-4f79-b7bb-65ec5234e508 · inbound
LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model cites this paper.
LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:24:39.852228Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe9fa07f-4118-41da-b60a-83beba9e54c7 · 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 Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:27:27.628450Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89b73dba-f893-46b0-9698-6d8270c23677 · inbound
Mirror, Mirror on the Wall: Can VLM Agents Tell Who They Are at All? cites this paper.
Mirror, Mirror on the Wall: Can VLM Agents Tell Who They Are at All? Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:36:18.594594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.